Elkind, Emese; Gammage, Alina; Windover, Lauren; McCauley, Cole; Learned, Noah; Wolkoff, Max; Wisener, Kyla; Wang, Xian; Fichtinger, Gabor; Thornton, Kanchana
Customizable 3D-Printed Above-Elbow Prosthetics for Refugees with Limb Loss: A Low-Cost Solution for Global Rehabilitation Needs Honorable Mention Conference
Rehabilitation Engineering and Assistive Technology Society of North America (RESNA), 2025, (1st Place in the 2025 Student Design Challenge).
@conference{Elkind2025e,
title = {Customizable 3D-Printed Above-Elbow Prosthetics for Refugees with Limb Loss: A Low-Cost Solution for Global Rehabilitation Needs },
author = {Emese Elkind and Alina Gammage and Lauren Windover and Cole McCauley and Noah Learned and Max Wolkoff and Kyla Wisener and Xian Wang and Gabor Fichtinger and Kanchana Thornton},
year = {2025},
date = {2025-05-15},
booktitle = {Rehabilitation Engineering and Assistive Technology Society of North America (RESNA)},
note = {1st Place in the 2025 Student Design Challenge},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Elkind, Emese; Gammage, Alina; Windover, Lauren; McCauley, Cole; Learned, Noah; Wolkoff, Max; Wisener, Kyla; Wang, Xian; Fichtinger, Gabor; Thornton, Kanchana
Creating Customizable Above-Elbow 3D-Printed Low-Cost Prosthetics for Refugees of the Civil War in Myanmar Honorable Mention Conference
Rice360 Global Health Technologies Design Competition, Rice University, 2025, (2nd Place and Public Invention - Incremental Improvement Award).
@conference{Elkind2025d,
title = {Creating Customizable Above-Elbow 3D-Printed Low-Cost Prosthetics for Refugees of the Civil War in Myanmar},
author = {Emese Elkind and Alina Gammage and Lauren Windover and Cole McCauley and Noah Learned and Max Wolkoff and Kyla Wisener and Xian Wang and Gabor Fichtinger and Kanchana Thornton
},
url = {https://labs.cs.queensu.ca/perklab/qbit-rice-2025-poster/},
year = {2025},
date = {2025-04-11},
urldate = {2025-04-11},
booktitle = {Rice360 Global Health Technologies Design Competition},
journal = {Rice360 Global Health Technologies Design Competition},
publisher = {Rice University},
note = {2nd Place and Public Invention - Incremental Improvement Award},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Radcliffe, Olivia; Lawford-Wickham, Imogen A; Wilson, Paul FR; Abolmaesumi, Purang; Mousavi, Parvin
Leveraging SAM for automatic prostate segmentation on micro-ultrasound images Proceedings
SPIE Proceedings Volume 13412, Medical Imaging 2025: Ultrasonic Imaging and Tomography, 2025.
@proceedings{nokey,
title = {Leveraging SAM for automatic prostate segmentation on micro-ultrasound images},
author = {Olivia Radcliffe and Imogen A Lawford-Wickham and Paul FR Wilson and Purang Abolmaesumi and Parvin Mousavi},
doi = {10.1117/12.3047368},
year = {2025},
date = {2025-04-10},
urldate = {2025-04-10},
abstract = {PURPOSE: Deep learning is promising for enabling accurate and automatic prostate segmentation. Existing deep learning segmentation model approaches often rely on large training datasets for good generalization. We aim to adapt pre-trained foundation models to enable accurate, data-efficient, and robust prostate segmentation. METHODS: We adapt the promptable foundation model SAM1 for prostate segmentation on rotational micro-ultrasound scans2 of the prostate. We design novel prompting strategies to provide the model with enhanced 3D context awareness to improve segmentation. RESULTS: Our model, which we call SliceTrack-SAM, outperforms prior state-of-the-art in micro-ultrasound prostate segmentation. We achieve a Dice coefficient of 94.0% and Hausdorff distance 1.76mm on the MicroSegNet dataset. Qualitative analysis and ablation studies further validate the success of our approach. CONCLUSION: Transfer learning from pre-trained foundation models can alleviate the challenge of data scarcity and improve the generalization of medical imaging deep learning systems. Prompts provide a flexible and effective way to leverage auxiliary information, such as 3D context, when using these models.},
howpublished = {SPIE Proceedings Volume 13412, Medical Imaging 2025: Ultrasonic Imaging and Tomography},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
PURPOSE: Deep learning is promising for enabling accurate and automatic prostate segmentation. Existing deep learning segmentation model approaches often rely on large training datasets for good generalization. We aim to adapt pre-trained foundation models to enable accurate, data-efficient, and robust prostate segmentation. METHODS: We adapt the promptable foundation model SAM1 for prostate segmentation on rotational micro-ultrasound scans2 of the prostate. We design novel prompting strategies to provide the model with enhanced 3D context awareness to improve segmentation. RESULTS: Our model, which we call SliceTrack-SAM, outperforms prior state-of-the-art in micro-ultrasound prostate segmentation. We achieve a Dice coefficient of 94.0% and Hausdorff distance 1.76mm on the MicroSegNet dataset. Qualitative analysis and ablation studies further validate the success of our approach. CONCLUSION: Transfer learning from pre-trained foundation models can alleviate the challenge of data scarcity and improve the generalization of medical imaging deep learning systems. Prompts provide a flexible and effective way to leverage auxiliary information, such as 3D context, when using these models.
Elkind, Emese; Tun, Aung Tin; Learned, Noah; Mccauley, Cole; Windover, Lauren; Gammage, Alina; Wisener, Kyla; Wolkoff, Max; Davison, Colleen; Purkey, Eva; Fichtinger, Gabor; Thornton, Kanchana
INOVAIT Image-Guided Therapy (IGT) x Imaging Network Ontario (ImNO), 2025.
@conference{Elkind2025c,
title = {Bridging the Gap with Customizable Above-Elbow Prosthetic Designs to Balance Open-Source Models and Patient-Specific Needs},
author = {Emese Elkind and Aung Tin Tun and Noah Learned and Cole Mccauley and Lauren Windover and Alina Gammage and Kyla Wisener and Max Wolkoff and Colleen Davison and Eva Purkey and Gabor Fichtinger and Kanchana Thornton},
url = {https://labs.cs.queensu.ca/perklab/eelkind_imno2025_poster_latebreaking_arm/},
year = {2025},
date = {2025-03-05},
urldate = {2025-03-05},
publisher = {INOVAIT Image-Guided Therapy (IGT) x Imaging Network Ontario (ImNO)},
abstract = {INTRODUCTION: Myanmar’s healthcare system, strained further by the 2021 military coup and civil war, has led millions of refugees to Thailand seeking medical aid [1]. Burma Children Medical Fund (BCMF), based in Mae Sot, Tak, Thailand funds these Burmese communities’, who are unable to receive medical treatment by providing support services, including prosthetics for refugees [2]. BCMF makes prosthetics for low-resource settings using open-source designs. The usage of prosthetic arms depends heavily on their functionality and comfort, as patients are more likely to use prosthetics if it restores normalcy. The staff at BCMF have limited Computer Aided Design (CAD) experience so Queen’s Biomedical Innovation Team (QBiT) at Queen’s University has started a prosthetic project to support them. The student-led biomedical engineering design team modifies open-sourced designs to tailor them to patient needs. Specifically, we aim to add an above-elbow prosthetic to the existing below-elbow prosthetics currently used by BCMF to produce an affordable and functional prosthetic.
METHODS: BCMF currently adapts Thingiverse designs, such as the below elbow Kwawu Arm 2.0 [3], which can be adjusted with OpenSCAD [4], a software for modifying models to fit the recipient. QBiT has modified the Kwawu arm and designed a shoulder piece and harness system to extend the below elbow prosthetic to fit above elbow amputees (fig.1). A polyester strap forms a harness and is secured with snap buttons so the patient can control the prosthetic by adjusting their shoulder to move the elbow joint and to operate the hand attachment (fig.2). The arm is undergoing an iterative testing process for durability and comfort with constant communication between the BCMF and QBiT. Patient feedback ensures the prosthetics cater to the needs of each recipient. QBiT has developed a comprehensive manual, complete with detailed images, outlining the steps for setting up the harness to fit the patient's measurements.
RESULTS: Since 2019, BCMF has provided 76 3D-printed prosthetics. The new above elbow design eliminates electronic components, reducing complexity and cost while improving durability for Burmese climates and living conditions during the war, making it more accessible for a wider range of users. The prosthetic incorporates interchangeable end-effectors to adapt to the patients’ daily activities. The control wires connecting the harness to the dynamic prosthetic are routed internally, minimizing the risk of snagging. The final design will restore partial range of motion to the patient through the use of the prosthetic.
CONCLUSIONS: The BCMF prosthetics project provides a low-cost solution to healthcare challenges in the context of the poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities. This collaboration demonstrates the potential for future partnerships between educational institutions and NGOs to address health care access disparities and empowers BCMF to expand their reach and improve access to low-cost, body-powered prosthetic solutions for a growing number of patients in need. Future work includes continuing to fill the gap between open-sourced models and patient-specific needs to refine the 3D-printing workflow by creating customizable, generalized designs.
REFERENCES: [1] UN. Overview of Myanmar nationals in Thailand. IOM UN migration. https://thailand.iom.int/resources/overview-myanmar-nationals-thailand-april-2024[2] Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. (n.d.). https://burmachildren.com/ [3] Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281 [4] OpenSCAD. The Programmers Solid 3D CAD Modeller. (n.d.). https://openscad.org/},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
INTRODUCTION: Myanmar’s healthcare system, strained further by the 2021 military coup and civil war, has led millions of refugees to Thailand seeking medical aid [1]. Burma Children Medical Fund (BCMF), based in Mae Sot, Tak, Thailand funds these Burmese communities’, who are unable to receive medical treatment by providing support services, including prosthetics for refugees [2]. BCMF makes prosthetics for low-resource settings using open-source designs. The usage of prosthetic arms depends heavily on their functionality and comfort, as patients are more likely to use prosthetics if it restores normalcy. The staff at BCMF have limited Computer Aided Design (CAD) experience so Queen’s Biomedical Innovation Team (QBiT) at Queen’s University has started a prosthetic project to support them. The student-led biomedical engineering design team modifies open-sourced designs to tailor them to patient needs. Specifically, we aim to add an above-elbow prosthetic to the existing below-elbow prosthetics currently used by BCMF to produce an affordable and functional prosthetic.
METHODS: BCMF currently adapts Thingiverse designs, such as the below elbow Kwawu Arm 2.0 [3], which can be adjusted with OpenSCAD [4], a software for modifying models to fit the recipient. QBiT has modified the Kwawu arm and designed a shoulder piece and harness system to extend the below elbow prosthetic to fit above elbow amputees (fig.1). A polyester strap forms a harness and is secured with snap buttons so the patient can control the prosthetic by adjusting their shoulder to move the elbow joint and to operate the hand attachment (fig.2). The arm is undergoing an iterative testing process for durability and comfort with constant communication between the BCMF and QBiT. Patient feedback ensures the prosthetics cater to the needs of each recipient. QBiT has developed a comprehensive manual, complete with detailed images, outlining the steps for setting up the harness to fit the patient's measurements.
RESULTS: Since 2019, BCMF has provided 76 3D-printed prosthetics. The new above elbow design eliminates electronic components, reducing complexity and cost while improving durability for Burmese climates and living conditions during the war, making it more accessible for a wider range of users. The prosthetic incorporates interchangeable end-effectors to adapt to the patients’ daily activities. The control wires connecting the harness to the dynamic prosthetic are routed internally, minimizing the risk of snagging. The final design will restore partial range of motion to the patient through the use of the prosthetic.
CONCLUSIONS: The BCMF prosthetics project provides a low-cost solution to healthcare challenges in the context of the poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities. This collaboration demonstrates the potential for future partnerships between educational institutions and NGOs to address health care access disparities and empowers BCMF to expand their reach and improve access to low-cost, body-powered prosthetic solutions for a growing number of patients in need. Future work includes continuing to fill the gap between open-sourced models and patient-specific needs to refine the 3D-printing workflow by creating customizable, generalized designs.
REFERENCES: [1] UN. Overview of Myanmar nationals in Thailand. IOM UN migration. https://thailand.iom.int/resources/overview-myanmar-nationals-thailand-april-2024[2] Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. (n.d.). https://burmachildren.com/ [3] Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281 [4] OpenSCAD. The Programmers Solid 3D CAD Modeller. (n.d.). https://openscad.org/
METHODS: BCMF currently adapts Thingiverse designs, such as the below elbow Kwawu Arm 2.0 [3], which can be adjusted with OpenSCAD [4], a software for modifying models to fit the recipient. QBiT has modified the Kwawu arm and designed a shoulder piece and harness system to extend the below elbow prosthetic to fit above elbow amputees (fig.1). A polyester strap forms a harness and is secured with snap buttons so the patient can control the prosthetic by adjusting their shoulder to move the elbow joint and to operate the hand attachment (fig.2). The arm is undergoing an iterative testing process for durability and comfort with constant communication between the BCMF and QBiT. Patient feedback ensures the prosthetics cater to the needs of each recipient. QBiT has developed a comprehensive manual, complete with detailed images, outlining the steps for setting up the harness to fit the patient's measurements.
RESULTS: Since 2019, BCMF has provided 76 3D-printed prosthetics. The new above elbow design eliminates electronic components, reducing complexity and cost while improving durability for Burmese climates and living conditions during the war, making it more accessible for a wider range of users. The prosthetic incorporates interchangeable end-effectors to adapt to the patients’ daily activities. The control wires connecting the harness to the dynamic prosthetic are routed internally, minimizing the risk of snagging. The final design will restore partial range of motion to the patient through the use of the prosthetic.
CONCLUSIONS: The BCMF prosthetics project provides a low-cost solution to healthcare challenges in the context of the poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities. This collaboration demonstrates the potential for future partnerships between educational institutions and NGOs to address health care access disparities and empowers BCMF to expand their reach and improve access to low-cost, body-powered prosthetic solutions for a growing number of patients in need. Future work includes continuing to fill the gap between open-sourced models and patient-specific needs to refine the 3D-printing workflow by creating customizable, generalized designs.
REFERENCES: [1] UN. Overview of Myanmar nationals in Thailand. IOM UN migration. https://thailand.iom.int/resources/overview-myanmar-nationals-thailand-april-2024[2] Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. (n.d.). https://burmachildren.com/ [3] Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281 [4] OpenSCAD. The Programmers Solid 3D CAD Modeller. (n.d.). https://openscad.org/
Elkind, Emese; Tun, Aung Tin; Radcliffe, Olivia; Connolly, Laura; Davison, Colleen; Purkey, Eva; Mousavi, Parvin; Fichtinger, Gabor; Thornton, Kanchana
INOVAIT Image-Guided Therapy (IGT) x Imaging Network Ontario (ImNO), 2025.
@conference{Elkind2025b,
title = {Developing low-cost 3D-printed prosthetics with a functional wrist for patients along the Thai-Myanmar border},
author = {Emese Elkind and Aung Tin Tun and Olivia Radcliffe and Laura Connolly and Colleen Davison and Eva Purkey and Parvin Mousavi and Gabor Fichtinger and Kanchana Thornton
},
url = {https://labs.cs.queensu.ca/perklab/eelkind_imno2025_poster_wrist/},
year = {2025},
date = {2025-03-05},
urldate = {2025-03-05},
publisher = {INOVAIT Image-Guided Therapy (IGT) x Imaging Network Ontario (ImNO)},
abstract = {INTRODUCTION: Inadequacies in the Burmese healthcare system, heightened by the 2021 military coup and related civil war in Myanmar and the COVID-19 pandemic, have contributed to an influx of refugees to Thailand to seek medical aid. An estimated 1.5 million Myanmar nationals entered Thailand since January 2023 [5]. Without immigration status, these refugees are unable to receive healthcare. Burma Children Medical Fund (BCMF) is a nonprofit based in Mae Sot, Tak, Thailand that focuses on funding underserved Burmese communities’ medical treatment and providing support services, including accessible prosthetics for refugees who have experienced limb loss [1]. Prosthetics in lower-income countries are usually passive, meaning they lack mechanisms to restore critical limb functions such as gripping, rotation, or complex hand movements. Therefore, patients cannot fully perform their daily functions, impacting their abilities to work and affecting family caretakers. BCMF aims to make prosthetics that work best in low-resource settings using open-source designs, which only allow for fixed hand positions. The usage of prosthetic arms depends heavily on their functionality and comfort. Patients are more likely to consistently use prosthetics if it aids them in returning to normalcy. In this study, we present a design for an interchangeable and functional prosthetic wrist that enables critical hand motions such as rotation.
METHODS: BCMF currently provides custom-fitted, low-cost, 3D-printed prostheses that are found on Thingiverse, a public library of 3D designs. One such design is the Kwawu Arm 2.0 [2], which can be adjusted with OpenSCAD [4], a software for modifying 3D CAD models to fit the recipient's measurements. To maintain BCMF’s workflow, the interchangeable wrist model was created using the 3D design software, Autodesk Fusion 360, and designs from open sourced Quick-Connect Wrist designs found on Thingiverse [3]. The wrist was merged onto the Kwawu Arm, printed, assembled, and tested for durability and comfort both with and without patients. This is an iterative process where patient feedback ensures the prosthetics cater to the diverse needs of the recipients.
RESULTS: Since the launch of the prosthetics project in 2019, BCMF has provided 3D-printed prosthetics to 76 patients. The interchangeable hand provides a solution to many patients' everyday activities and can rotate the hand 360 degrees (Fig.2) and has been tested on and used by one patient thus far (Fig.1).
CONCLUSIONS: The BCMF prosthetics project provides a low-cost solution to healthcare challenges in the context of poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities. The collaboration between BCMF and Queen’s University demonstrates the potential for future partnerships between educational institutions and NGOs to address health care access disparities. Future work includes continuing to fill the gap between open-sourced models and patient-specific needs to refine the 3D-printing workflow by continuing to create customizable, generalized designs. We also plan to test the interchangeable wrist with more patients and develop body-powered prosthetic designs to support more critical movements.
REFERENCES: [1]Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. (n.d.). https://burmachildren.com/ [2]Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281 [3]NIOP. (2022, February 9). NIOP Q-C V1 quick-connect wrist. Thingiverse. http://www.thingiverse.com/thing:5238794 [4]OpenSCAD. The Programmers Solid 3D CAD Modeller. (n.d.). https://openscad.org/ [5]UN. Overview of Myanmar nationals in Thailand. IOM UN migration. https://thailand.iom.int/sites/g/files/tmzbdl1371/files/documents/2024-10/overview-of-myanmar-nationals-in-thailand-october-24.pdf
},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
INTRODUCTION: Inadequacies in the Burmese healthcare system, heightened by the 2021 military coup and related civil war in Myanmar and the COVID-19 pandemic, have contributed to an influx of refugees to Thailand to seek medical aid. An estimated 1.5 million Myanmar nationals entered Thailand since January 2023 [5]. Without immigration status, these refugees are unable to receive healthcare. Burma Children Medical Fund (BCMF) is a nonprofit based in Mae Sot, Tak, Thailand that focuses on funding underserved Burmese communities’ medical treatment and providing support services, including accessible prosthetics for refugees who have experienced limb loss [1]. Prosthetics in lower-income countries are usually passive, meaning they lack mechanisms to restore critical limb functions such as gripping, rotation, or complex hand movements. Therefore, patients cannot fully perform their daily functions, impacting their abilities to work and affecting family caretakers. BCMF aims to make prosthetics that work best in low-resource settings using open-source designs, which only allow for fixed hand positions. The usage of prosthetic arms depends heavily on their functionality and comfort. Patients are more likely to consistently use prosthetics if it aids them in returning to normalcy. In this study, we present a design for an interchangeable and functional prosthetic wrist that enables critical hand motions such as rotation.
METHODS: BCMF currently provides custom-fitted, low-cost, 3D-printed prostheses that are found on Thingiverse, a public library of 3D designs. One such design is the Kwawu Arm 2.0 [2], which can be adjusted with OpenSCAD [4], a software for modifying 3D CAD models to fit the recipient's measurements. To maintain BCMF’s workflow, the interchangeable wrist model was created using the 3D design software, Autodesk Fusion 360, and designs from open sourced Quick-Connect Wrist designs found on Thingiverse [3]. The wrist was merged onto the Kwawu Arm, printed, assembled, and tested for durability and comfort both with and without patients. This is an iterative process where patient feedback ensures the prosthetics cater to the diverse needs of the recipients.
RESULTS: Since the launch of the prosthetics project in 2019, BCMF has provided 3D-printed prosthetics to 76 patients. The interchangeable hand provides a solution to many patients' everyday activities and can rotate the hand 360 degrees (Fig.2) and has been tested on and used by one patient thus far (Fig.1).
CONCLUSIONS: The BCMF prosthetics project provides a low-cost solution to healthcare challenges in the context of poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities. The collaboration between BCMF and Queen’s University demonstrates the potential for future partnerships between educational institutions and NGOs to address health care access disparities. Future work includes continuing to fill the gap between open-sourced models and patient-specific needs to refine the 3D-printing workflow by continuing to create customizable, generalized designs. We also plan to test the interchangeable wrist with more patients and develop body-powered prosthetic designs to support more critical movements.
REFERENCES: [1]Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. (n.d.). https://burmachildren.com/ [2]Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281 [3]NIOP. (2022, February 9). NIOP Q-C V1 quick-connect wrist. Thingiverse. http://www.thingiverse.com/thing:5238794 [4]OpenSCAD. The Programmers Solid 3D CAD Modeller. (n.d.). https://openscad.org/ [5]UN. Overview of Myanmar nationals in Thailand. IOM UN migration. https://thailand.iom.int/sites/g/files/tmzbdl1371/files/documents/2024-10/overview-of-myanmar-nationals-in-thailand-october-24.pdf
METHODS: BCMF currently provides custom-fitted, low-cost, 3D-printed prostheses that are found on Thingiverse, a public library of 3D designs. One such design is the Kwawu Arm 2.0 [2], which can be adjusted with OpenSCAD [4], a software for modifying 3D CAD models to fit the recipient's measurements. To maintain BCMF’s workflow, the interchangeable wrist model was created using the 3D design software, Autodesk Fusion 360, and designs from open sourced Quick-Connect Wrist designs found on Thingiverse [3]. The wrist was merged onto the Kwawu Arm, printed, assembled, and tested for durability and comfort both with and without patients. This is an iterative process where patient feedback ensures the prosthetics cater to the diverse needs of the recipients.
RESULTS: Since the launch of the prosthetics project in 2019, BCMF has provided 3D-printed prosthetics to 76 patients. The interchangeable hand provides a solution to many patients' everyday activities and can rotate the hand 360 degrees (Fig.2) and has been tested on and used by one patient thus far (Fig.1).
CONCLUSIONS: The BCMF prosthetics project provides a low-cost solution to healthcare challenges in the context of poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities. The collaboration between BCMF and Queen’s University demonstrates the potential for future partnerships between educational institutions and NGOs to address health care access disparities. Future work includes continuing to fill the gap between open-sourced models and patient-specific needs to refine the 3D-printing workflow by continuing to create customizable, generalized designs. We also plan to test the interchangeable wrist with more patients and develop body-powered prosthetic designs to support more critical movements.
REFERENCES: [1]Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. (n.d.). https://burmachildren.com/ [2]Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281 [3]NIOP. (2022, February 9). NIOP Q-C V1 quick-connect wrist. Thingiverse. http://www.thingiverse.com/thing:5238794 [4]OpenSCAD. The Programmers Solid 3D CAD Modeller. (n.d.). https://openscad.org/ [5]UN. Overview of Myanmar nationals in Thailand. IOM UN migration. https://thailand.iom.int/sites/g/files/tmzbdl1371/files/documents/2024-10/overview-of-myanmar-nationals-in-thailand-october-24.pdf
Policelli, Robert; DeVries, David; Laba, Joanna; Leung, Andrew; Tang, Terence; Albweady, Ali; Alqaidy, Ghada; Ward, Aaron D.
Prediction of brain metastasis progression after stereotactic radiosurgery: sensitivity to changing the definition of progression Journal Article
In: J. Med. Imag., vol. 12, no. 02, 2025, ISSN: 2329-4302.
@article{Policelli2025,
title = {Prediction of brain metastasis progression after stereotactic radiosurgery: sensitivity to changing the definition of progression},
author = {Robert Policelli and David DeVries and Joanna Laba and Andrew Leung and Terence Tang and Ali Albweady and Ghada Alqaidy and Aaron D. Ward},
doi = {10.1117/1.jmi.12.2.024504},
issn = {2329-4302},
year = {2025},
date = {2025-03-01},
journal = {J. Med. Imag.},
volume = {12},
number = {02},
publisher = {SPIE-Intl Soc Optical Eng},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Elkind, Emese; Radcliffe, Olivia; Tun, Aung Tin; Connolly, Laura; Davison, Colleen; Purkey, Eva; Fichtinger, Gabor; Thornton, Kanchana
Strengthening Low-cost Prosthetic Solutions in Thailand/Myanmar Through Academic Institution-NGO Collaboration Honorable Mention Conference
Health & Human Rights Conference, Queen's University School of Medicine, 2025, (3rd place).
@conference{Elkind2025,
title = {Strengthening Low-cost Prosthetic Solutions in Thailand/Myanmar Through Academic Institution-NGO Collaboration },
author = {Emese Elkind and Olivia Radcliffe and Aung Tin Tun and Laura Connolly and Colleen Davison and Eva Purkey and Gabor Fichtinger and Kanchana Thornton
},
year = {2025},
date = {2025-02-22},
urldate = {2025-02-22},
booktitle = {Health & Human Rights Conference},
publisher = {School of Medicine},
organization = {Queen's University},
abstract = {The ongoing civil war in Myanmar, along with the related coup in 2021, have displaced millions of refugees to Thailand, where many lack immigration status and cannot access medical care. The Burma Children Medical Fund (BCMF) [1] addresses these challenges by providing funding and support for medical treatment, including a 3D-printed prosthetics program initiated in 2019 for individuals with limb loss. Due to limited Computer-Aided Design (CAD) experience, BCMF staff have turned to open-source prosthetic designs. We aim to establish an academia-NGO partnership to strengthen BCMF’s efforts, provide technical support, and broaden outreach to underserved communities needing low-cost, body-powered prosthetic devices. Our collaboration includes Queen’s University volunteers traveling to BCMF’s workshop for on-ground support and continuing remote assistance. As BCMF utilizes open-source prosthetic designs from platforms such as Thingiverse [2], we wanted to maintain the 3D printing workflow while addressing gaps in open-source prosthetic offerings. We identified three critical needs: devices for short-below-elbow amputees, above-elbow amputees, and a detachable, rotatable wrist. In response, we modified BCMF’s most used prosthetic design to customize the model for these specific needs. We conducted iterative testing for durability and comfort, ensuring constant communication between staff and recipients, allowing patient feedback to guide our designs. Over the past two years, Queen’s University has sent two volunteers to BCMF, with another planned for this year. So far, five recipients use our short-below-elbow prosthetic design, and one has received a quick connect wrist. In addition, we are currently collaborating remotely on a new prosthetic design for above-elbow amputees. This partnership between Queen’s University and BCMF improves access to low-cost prosthetic solutions, expands BCMF’s recipient pool, and demonstrates the potential for future partnerships between educational institutions and NGOs to address disparities in healthcare access.
References
[1] Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. https://burmachildren.com/
[2] Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281 },
note = {3rd place},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The ongoing civil war in Myanmar, along with the related coup in 2021, have displaced millions of refugees to Thailand, where many lack immigration status and cannot access medical care. The Burma Children Medical Fund (BCMF) [1] addresses these challenges by providing funding and support for medical treatment, including a 3D-printed prosthetics program initiated in 2019 for individuals with limb loss. Due to limited Computer-Aided Design (CAD) experience, BCMF staff have turned to open-source prosthetic designs. We aim to establish an academia-NGO partnership to strengthen BCMF’s efforts, provide technical support, and broaden outreach to underserved communities needing low-cost, body-powered prosthetic devices. Our collaboration includes Queen’s University volunteers traveling to BCMF’s workshop for on-ground support and continuing remote assistance. As BCMF utilizes open-source prosthetic designs from platforms such as Thingiverse [2], we wanted to maintain the 3D printing workflow while addressing gaps in open-source prosthetic offerings. We identified three critical needs: devices for short-below-elbow amputees, above-elbow amputees, and a detachable, rotatable wrist. In response, we modified BCMF’s most used prosthetic design to customize the model for these specific needs. We conducted iterative testing for durability and comfort, ensuring constant communication between staff and recipients, allowing patient feedback to guide our designs. Over the past two years, Queen’s University has sent two volunteers to BCMF, with another planned for this year. So far, five recipients use our short-below-elbow prosthetic design, and one has received a quick connect wrist. In addition, we are currently collaborating remotely on a new prosthetic design for above-elbow amputees. This partnership between Queen’s University and BCMF improves access to low-cost prosthetic solutions, expands BCMF’s recipient pool, and demonstrates the potential for future partnerships between educational institutions and NGOs to address disparities in healthcare access.
References
[1] Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. https://burmachildren.com/
[2] Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281
References
[1] Burma Children Medical Fund - Mae Sot, Thailand. BCMF | Burma Children Medical Fund - Mae Sot, Thailand - Operating to give people a future. https://burmachildren.com/
[2] Buchanan, J. (2018, March 27). Kwawu Arm 2.0 - Prosthetic - socket version. Thingiverse. https://www.thingiverse.com/thing:2841281
Hashtrudi-Zaad, Kian; Farvolden, Coleman; Connolly, Laura; Barr, Colton; Fichtinger, Gabor
Robotic tracking of a resection cavity using a low cost bench-top robotic arm and electromagnetics Journal Article
In: vol. 13408, pp. 217-222, 2025.
@article{hashtrudi-zaad2025,
title = {Robotic tracking of a resection cavity using a low cost bench-top robotic arm and electromagnetics},
author = {Kian Hashtrudi-Zaad and Coleman Farvolden and Laura Connolly and Colton Barr and Gabor Fichtinger},
year = {2025},
date = {2025-01-01},
volume = {13408},
pages = {217-222},
publisher = {SPIE},
abstract = {INTRODUCTION
Roughly 40% of breast cancer patients are required to undergo corrective surgery after tumour resection via breast-conserving surgery (BCS). Sweeping of the cavity, resulting from the tumour resection, by spectroscopy and ultrasound imaging is emerging as a potential solution for identifying leftover cancer. However, the use of imaging modalities in the cavity is challenging as breast tissue is soft, malleable, and moves frequently. This paper presents and verifies an approach for tracking the relative motion of a resection cavity with a robotic arm.
METHODS
We use electromagnetic tracking and a low cost 6-axis robotic arm to track a simulated resection cavity. We embed an electromagnetic sensor in a 3D printed retractor that is designed to hold the cavity open. An open-source module in 3D Slicer is then used to detect cavity motion from the retractor and command the robotic arm to follow the …},
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pubstate = {published},
tppubtype = {article}
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INTRODUCTION
Roughly 40% of breast cancer patients are required to undergo corrective surgery after tumour resection via breast-conserving surgery (BCS). Sweeping of the cavity, resulting from the tumour resection, by spectroscopy and ultrasound imaging is emerging as a potential solution for identifying leftover cancer. However, the use of imaging modalities in the cavity is challenging as breast tissue is soft, malleable, and moves frequently. This paper presents and verifies an approach for tracking the relative motion of a resection cavity with a robotic arm.
METHODS
We use electromagnetic tracking and a low cost 6-axis robotic arm to track a simulated resection cavity. We embed an electromagnetic sensor in a 3D printed retractor that is designed to hold the cavity open. An open-source module in 3D Slicer is then used to detect cavity motion from the retractor and command the robotic arm to follow the …
Roughly 40% of breast cancer patients are required to undergo corrective surgery after tumour resection via breast-conserving surgery (BCS). Sweeping of the cavity, resulting from the tumour resection, by spectroscopy and ultrasound imaging is emerging as a potential solution for identifying leftover cancer. However, the use of imaging modalities in the cavity is challenging as breast tissue is soft, malleable, and moves frequently. This paper presents and verifies an approach for tracking the relative motion of a resection cavity with a robotic arm.
METHODS
We use electromagnetic tracking and a low cost 6-axis robotic arm to track a simulated resection cavity. We embed an electromagnetic sensor in a 3D printed retractor that is designed to hold the cavity open. An open-source module in 3D Slicer is then used to detect cavity motion from the retractor and command the robotic arm to follow the …
Farvolden, Coleman; Hashtrudi-Zaad, Kian; Connolly, Laura; Barr, Colton; Fichtinger, Gabor
An accessible six-axis testbed for image-guided robotics research Journal Article
In: vol. 13408, pp. 458-463, 2025.
@article{farvolden2025,
title = {An accessible six-axis testbed for image-guided robotics research},
author = {Coleman Farvolden and Kian Hashtrudi-Zaad and Laura Connolly and Colton Barr and Gabor Fichtinger},
year = {2025},
date = {2025-01-01},
volume = {13408},
pages = {458-463},
publisher = {SPIE},
abstract = {PURPOSE: Cancer can recur after tumor resection surgery if tumor tissue is missed and left behind. We hypothesize that intraoperative robotic imaging could be used to inspect the surgical cavity and localize residual cancer tissue. This technique has the potential to improve the success rate of tumor resection surgery. Towards this, we propose and evaluate a benchtop testbed for robotic manipulation of an optical imaging probe. We use low-cost hardware and open-source software to construct the testbed and describe the implementation so that it can be easily adopted to support similar research. METHODS: We implemented a reusable, open-source module in 3D Slicer for reading position coordinates and motion planning with an inexpensive 6-axis robotic arm in Robot Operating System (ROS). For demonstration, a custom end-effector was used to fix an optical probe to the robot. The accuracy of the testbed …},
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PURPOSE: Cancer can recur after tumor resection surgery if tumor tissue is missed and left behind. We hypothesize that intraoperative robotic imaging could be used to inspect the surgical cavity and localize residual cancer tissue. This technique has the potential to improve the success rate of tumor resection surgery. Towards this, we propose and evaluate a benchtop testbed for robotic manipulation of an optical imaging probe. We use low-cost hardware and open-source software to construct the testbed and describe the implementation so that it can be easily adopted to support similar research. METHODS: We implemented a reusable, open-source module in 3D Slicer for reading position coordinates and motion planning with an inexpensive 6-axis robotic arm in Robot Operating System (ROS). For demonstration, a custom end-effector was used to fix an optical probe to the robot. The accuracy of the testbed …
Hisey, Rebecca; Lee, Henry; Duimering, Adrienne; Liu, John; Gupta, Vasudha; Ungi, Tamas; Law, Christine; Fichtinger, Gabor; Holden, Matthew
Objective skill assessment for cataract surgery from surgical microscope video Journal Article
In: International Journal of Computer Assisted Radiology and Surgery, pp. 1-12, 2025.
@article{hisey2025,
title = {Objective skill assessment for cataract surgery from surgical microscope video},
author = {Rebecca Hisey and Henry Lee and Adrienne Duimering and John Liu and Vasudha Gupta and Tamas Ungi and Christine Law and Gabor Fichtinger and Matthew Holden},
year = {2025},
date = {2025-01-01},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {1-12},
publisher = {Springer International Publishing},
abstract = {Objective
Video offers an accessible method for automated surgical skill evaluation; however, many platforms still rely on traditional six-degree-of-freedom (6-DOF) tracking systems, which can be costly, cumbersome, and challenging to apply clinically. This study aims to demonstrate that trainee skill in cataract surgery can be assessed effectively using only object detection from monocular surgical microscope video.
Methods
One ophthalmologist and four residents performed cataract surgery on a simulated eye five times each, generating 25 recordings. Recordings included both the surgical microscope video and 6-DOF instrument tracking data. Videos were graded by two expert ophthalmologists using the ICO-OSCAR: SICS rubric. We computed motion-based metrics using both object detection from video and 6-DOF tracking. We first examined correlations between each metric and expert scores for each rubric …},
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Objective
Video offers an accessible method for automated surgical skill evaluation; however, many platforms still rely on traditional six-degree-of-freedom (6-DOF) tracking systems, which can be costly, cumbersome, and challenging to apply clinically. This study aims to demonstrate that trainee skill in cataract surgery can be assessed effectively using only object detection from monocular surgical microscope video.
Methods
One ophthalmologist and four residents performed cataract surgery on a simulated eye five times each, generating 25 recordings. Recordings included both the surgical microscope video and 6-DOF instrument tracking data. Videos were graded by two expert ophthalmologists using the ICO-OSCAR: SICS rubric. We computed motion-based metrics using both object detection from video and 6-DOF tracking. We first examined correlations between each metric and expert scores for each rubric …
Video offers an accessible method for automated surgical skill evaluation; however, many platforms still rely on traditional six-degree-of-freedom (6-DOF) tracking systems, which can be costly, cumbersome, and challenging to apply clinically. This study aims to demonstrate that trainee skill in cataract surgery can be assessed effectively using only object detection from monocular surgical microscope video.
Methods
One ophthalmologist and four residents performed cataract surgery on a simulated eye five times each, generating 25 recordings. Recordings included both the surgical microscope video and 6-DOF instrument tracking data. Videos were graded by two expert ophthalmologists using the ICO-OSCAR: SICS rubric. We computed motion-based metrics using both object detection from video and 6-DOF tracking. We first examined correlations between each metric and expert scores for each rubric …
Othman, Amira; Kaufmann, Martin; Koster, Teaghan; Jamzad, Amoon; Ungi, Tamas; Rodgers, Jessica; Mcmullen, Julie; Yeung, Chris; Janssen, Natasja; Solberg, Kathryn; Cheesman, Joanna; Rudan, John; Mousavi, Parvin; Fichtinger, Gabor; Hoyos, Andrea Gallo; Jabs, Doris; Engel, Jay; Merchant, Shaila; Walker, Ross; Ren, Kevin; Varma, Sonal
211 Three-Dimensional Navigated Mass Spectrometry for Intraoperative Margin Assessment During Breast Cancer Surgery Journal Article
In: Laboratory Investigation, vol. 105, no. 3, 2025.
@article{othman2025,
title = {211 Three-Dimensional Navigated Mass Spectrometry for Intraoperative Margin Assessment During Breast Cancer Surgery},
author = {Amira Othman and Martin Kaufmann and Teaghan Koster and Amoon Jamzad and Tamas Ungi and Jessica Rodgers and Julie Mcmullen and Chris Yeung and Natasja Janssen and Kathryn Solberg and Joanna Cheesman and John Rudan and Parvin Mousavi and Gabor Fichtinger and Andrea Gallo Hoyos and Doris Jabs and Jay Engel and Shaila Merchant and Ross Walker and Kevin Ren and Sonal Varma},
year = {2025},
date = {2025-01-01},
journal = {Laboratory Investigation},
volume = {105},
number = {3},
publisher = {Elsevier},
abstract = {Background
Intraoperative frozen sections are not routine in Breast cancer (BC), hence, patients with positive margin need reoperation for margin clearance. Technologies that can identify residual cancer in real-time during the surgery can be of immense help in reducing the morbidity, healthcare utilization and, the prognosis in BC. Rapid evaporative ionization mass spectrometry (REIMS) is a mass spectrometric technique that can chemically profile the surgical cauterization plume to classify the tissue as either cancerous, suspicious or non-cancerous. A plastic tube with solvent is attached to the cautery knife (i-knife) and it passes the smoke generated from cautery of the tissue to the mass spectrometric machine located in the OR. The spectra generated from this smoke solution are assessed in real-time to help classify the tissue. Our goal was to compare the accuracy of REIMS with histology (the gold standard) to …},
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pubstate = {published},
tppubtype = {article}
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Background
Intraoperative frozen sections are not routine in Breast cancer (BC), hence, patients with positive margin need reoperation for margin clearance. Technologies that can identify residual cancer in real-time during the surgery can be of immense help in reducing the morbidity, healthcare utilization and, the prognosis in BC. Rapid evaporative ionization mass spectrometry (REIMS) is a mass spectrometric technique that can chemically profile the surgical cauterization plume to classify the tissue as either cancerous, suspicious or non-cancerous. A plastic tube with solvent is attached to the cautery knife (i-knife) and it passes the smoke generated from cautery of the tissue to the mass spectrometric machine located in the OR. The spectra generated from this smoke solution are assessed in real-time to help classify the tissue. Our goal was to compare the accuracy of REIMS with histology (the gold standard) to …
Intraoperative frozen sections are not routine in Breast cancer (BC), hence, patients with positive margin need reoperation for margin clearance. Technologies that can identify residual cancer in real-time during the surgery can be of immense help in reducing the morbidity, healthcare utilization and, the prognosis in BC. Rapid evaporative ionization mass spectrometry (REIMS) is a mass spectrometric technique that can chemically profile the surgical cauterization plume to classify the tissue as either cancerous, suspicious or non-cancerous. A plastic tube with solvent is attached to the cautery knife (i-knife) and it passes the smoke generated from cautery of the tissue to the mass spectrometric machine located in the OR. The spectra generated from this smoke solution are assessed in real-time to help classify the tissue. Our goal was to compare the accuracy of REIMS with histology (the gold standard) to …
Jamzad, Amoon; Warren, Jade; Syeda, Ayesha; Kaufmann, Martin; Iaboni, Natasha; Nicol, Christopher; Rudan, John; Ren, Kevin; Hurlbut, David; Varma, Sonal; Fichtinger, Gabor; Mousavi, Parvin
MassVision: An open-source end-to-end platform for AI-driven mass spectrometry image analysis Journal Article
In: bioRxiv, pp. 2025.01. 29.635489, 2025.
@article{jamzad2025,
title = {MassVision: An open-source end-to-end platform for AI-driven mass spectrometry image analysis},
author = {Amoon Jamzad and Jade Warren and Ayesha Syeda and Martin Kaufmann and Natasha Iaboni and Christopher Nicol and John Rudan and Kevin Ren and David Hurlbut and Sonal Varma and Gabor Fichtinger and Parvin Mousavi},
year = {2025},
date = {2025-01-01},
journal = {bioRxiv},
pages = {2025.01. 29.635489},
publisher = {Cold Spring Harbor Laboratory},
abstract = {Mass spectrometry imaging (MSI) combines spatial and spectral data to reveal detailed molecular compositions within biological samples. Despite their immense potential, MSI workflows are hindered by the complexity and high dimensionality of the data, making their analysis computationally intensive and often requiring expertise in coding. Existing tools frequently lack the integration needed for seamless, scalable, and end-to-end workflows, forcing researchers to rely on local solutions or multiple platforms, hindering efficiency and accessibility. We introduce MassVision, a comprehensive software platform for MSI analysis. Built on the 3D Slicer ecosystem, MassVision integrates MSI-specific functionalities while addressing general user requirements for accessibility and usability. Its intuitive interface lowers barriers for researchers with varying levels of computational expertise, while its scalability supports high-throughput studies and multi-slide datasets. Key functionalities include visualization, co-localization, dataset curation, dataset merging, spectral and spatial preprocessing, AI model training, and AI deployment on full MSI data. We detail the workflow and functionalities of MassVision and demonstrate its effectiveness through different experimental use cases such as exploratory data analysis, ion identification, and tissue-type classification, on in-house and publicly available data from different MSI modalities. These use cases underscore the MassVision's ability to seamlessly integrate MSI data handling steps into a single platform, and highlight its potential to reveal new insights and structures when examining biological samples. By …},
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Mass spectrometry imaging (MSI) combines spatial and spectral data to reveal detailed molecular compositions within biological samples. Despite their immense potential, MSI workflows are hindered by the complexity and high dimensionality of the data, making their analysis computationally intensive and often requiring expertise in coding. Existing tools frequently lack the integration needed for seamless, scalable, and end-to-end workflows, forcing researchers to rely on local solutions or multiple platforms, hindering efficiency and accessibility. We introduce MassVision, a comprehensive software platform for MSI analysis. Built on the 3D Slicer ecosystem, MassVision integrates MSI-specific functionalities while addressing general user requirements for accessibility and usability. Its intuitive interface lowers barriers for researchers with varying levels of computational expertise, while its scalability supports high-throughput studies and multi-slide datasets. Key functionalities include visualization, co-localization, dataset curation, dataset merging, spectral and spatial preprocessing, AI model training, and AI deployment on full MSI data. We detail the workflow and functionalities of MassVision and demonstrate its effectiveness through different experimental use cases such as exploratory data analysis, ion identification, and tissue-type classification, on in-house and publicly available data from different MSI modalities. These use cases underscore the MassVision's ability to seamlessly integrate MSI data handling steps into a single platform, and highlight its potential to reveal new insights and structures when examining biological samples. By …
Ordaz, Daniel Josué Guerra; Cordoba, Magdalena; Delisle, Éolie; Branes, Rocío; Nguyen, Sophie; Daghistani, Waiel Abdulaziz; Mozafarinia, Maryam; Cordoba, Carlos; Maher, Jessica; Dorling, Marisa; Haan, Kirk; Fahad, Danah; Moise, Alexander; Francis, Gizelle; Omar, Youssef; Grose, Elysia; Phillips, Timothy; D'Souza, Alexandra; Datta, Shaishav; Wanzel, Kyle; Bader, Retage Al; Affana, Clementine; Kumar, Ashish; Posel, Nancy; Fleiszer, David; Nguyen, Emily Lan-Vy; Patel, Prachikumari; Irfan, Ahmer; Aubrey, Jason; Coe, Taylor M; Muaddi, Hala; Bucur, Roxana; Rukavina, Nadia; Shwaartz, Chaya; Skaik, Khaled; Elmasry, Wassim; Haseltine, Devon; Bilson, Matthew; Moustafa, Mahmoud; Das, Amrit; Wagner, Maryam; Gomez-Garibello, Carlos; Driad, Cariane; Sonesaksith-Turcotte, Xavier; Sandman, Émilie; Huynh, Lily Trang; Jantchou, Prevost; Nault, Marie-Lyne; Ng, Jasmine; Dhaliwal, Jaskarn; Salim, Henna; Shakeel, Ayesha; Malik, Suffia; Chung, Wiley; Yang, Lucy; Al-Ani, Abdullah; Bondok, Mohamed; Chung, Helen; Gooi, Patrick; Sticca, Giancarlo; Petruccelli, Joseph; Dorion, Dominique; Omar, Yousef Abdelkhalek Saber; Hathi, Kalpesh; Philips, Timothy; Naidoo, Lalenthra; Yang, Xin Yu; Massé, Gabrielle; Tremblay, Jean-François; Vandenbroucke-Menu, Franck; Gervais, Mai-Kim; Letendre, Julien; Jeanmart, Hugues; Lacaille-Ranger, Ariane; Niazi, Farbod; Ahmed, Abrar; Patel, Zeel; Arfaie, Saman; Ma, Crystal; Mikerov, Gregory; Legler, Jack; Steinberg, Emily; Fadel, Elie; Murad, Liam; Biris, Julia; Desgagné, Charles; Colivas, Justine; Noyon, Brandon; Dubrowski, Adam; Patocskai, Érica; Kreutz, Jason; McPhalen, Donald; Temple-Oberle, Claire; Chopra, Sonaina; Dhanoa, Jasmin; Harley, Jason M; Acai, Anita; Keuhl, Amy; Ngo, Quang; Sherbino, Jonathan; Bassilious, Ereny; Bilgic, Elif; Pradhan, Anushka; Volfson, Emily; Tsang, Zackary; Mak, Megan; Hodaie, Mojgan; Peramakumar, Denesh; Hisey, Rebecca; Klosa, Elizabeth; Wong, Aden; Zaza, Farah; Fichtinger, Gabor; Zevin, Boris; Lisondra, James; Gao, Remi; Fung, Albert; Belaiche, Alicia; Piché, Johanie Victoria; Hocini, Adam; Belaiche, Myriam; McNaughton-Filion, Louise; Bouthillier, Constance; Cordoba, Tomas; McEwen, Charlotte; Jaffer, Iqbal; Amin, Faizan; Barsuk, Jeffrey; McGaghie, William; Sibbald, Matthew; Akuffo-Addo, Edgar; Dalson, Jaycie; Agyei, Kwame; Mohsen, Samiha; Yusuf, Safia; Juando-Prats, Clara; Simpson, Jory; Sohi, Gursharan; Giglio, Bianca; Davidovic, Vanja; Yilmaz, Recai; Albeloushi, Abdulmajeed; Alhantoobi, Mohamed; Uthamacumaran, Abicumaran; Lapointe, Jason; Alhaj, Ahmad; Saeedi, Rothaina; Tee, Trisha; Maestro, Rolando Del; Tran, Victoria
C-CASE 2024: Surgical Education Through Innovation: Canadian Conference for the Advancement of Surgical Education, Oct. 17-18, 2024, Toronto, Ontario Journal Article
In: Canadian journal of surgery. Journal canadien de chirurgie, vol. 68, no. 1suppl1, pp. S1-S13, 2025.
@article{ordaz2025b,
title = {C-CASE 2024: Surgical Education Through Innovation: Canadian Conference for the Advancement of Surgical Education, Oct. 17-18, 2024, Toronto, Ontario},
author = {Daniel Josué Guerra Ordaz and Magdalena Cordoba and Éolie Delisle and Rocío Branes and Sophie Nguyen and Waiel Abdulaziz Daghistani and Maryam Mozafarinia and Carlos Cordoba and Jessica Maher and Marisa Dorling and Kirk Haan and Danah Fahad and Alexander Moise and Gizelle Francis and Youssef Omar and Elysia Grose and Timothy Phillips and Alexandra D'Souza and Shaishav Datta and Kyle Wanzel and Retage Al Bader and Clementine Affana and Ashish Kumar and Nancy Posel and David Fleiszer and Emily Lan-Vy Nguyen and Prachikumari Patel and Ahmer Irfan and Jason Aubrey and Taylor M Coe and Hala Muaddi and Roxana Bucur and Nadia Rukavina and Chaya Shwaartz and Khaled Skaik and Wassim Elmasry and Devon Haseltine and Matthew Bilson and Mahmoud Moustafa and Amrit Das and Maryam Wagner and Carlos Gomez-Garibello and Cariane Driad and Xavier Sonesaksith-Turcotte and Émilie Sandman and Lily Trang Huynh and Prevost Jantchou and Marie-Lyne Nault and Jasmine Ng and Jaskarn Dhaliwal and Henna Salim and Ayesha Shakeel and Suffia Malik and Wiley Chung and Lucy Yang and Abdullah Al-Ani and Mohamed Bondok and Helen Chung and Patrick Gooi and Giancarlo Sticca and Joseph Petruccelli and Dominique Dorion and Yousef Abdelkhalek Saber Omar and Kalpesh Hathi and Timothy Philips and Lalenthra Naidoo and Xin Yu Yang and Gabrielle Massé and Jean-François Tremblay and Franck Vandenbroucke-Menu and Mai-Kim Gervais and Julien Letendre and Hugues Jeanmart and Ariane Lacaille-Ranger and Farbod Niazi and Abrar Ahmed and Zeel Patel and Saman Arfaie and Crystal Ma and Gregory Mikerov and Jack Legler and Emily Steinberg and Elie Fadel and Liam Murad and Julia Biris and Charles Desgagné and Justine Colivas and Brandon Noyon and Adam Dubrowski and Érica Patocskai and Jason Kreutz and Donald McPhalen and Claire Temple-Oberle and Sonaina Chopra and Jasmin Dhanoa and Jason M Harley and Anita Acai and Amy Keuhl and Quang Ngo and Jonathan Sherbino and Ereny Bassilious and Elif Bilgic and Anushka Pradhan and Emily Volfson and Zackary Tsang and Megan Mak and Mojgan Hodaie and Denesh Peramakumar and Rebecca Hisey and Elizabeth Klosa and Aden Wong and Farah Zaza and Gabor Fichtinger and Boris Zevin and James Lisondra and Remi Gao and Albert Fung and Alicia Belaiche and Johanie Victoria Piché and Adam Hocini and Myriam Belaiche and Louise McNaughton-Filion and Constance Bouthillier and Tomas Cordoba and Charlotte McEwen and Iqbal Jaffer and Faizan Amin and Jeffrey Barsuk and William McGaghie and Matthew Sibbald and Edgar Akuffo-Addo and Jaycie Dalson and Kwame Agyei and Samiha Mohsen and Safia Yusuf and Clara Juando-Prats and Jory Simpson and Gursharan Sohi and Bianca Giglio and Vanja Davidovic and Recai Yilmaz and Abdulmajeed Albeloushi and Mohamed Alhantoobi and Abicumaran Uthamacumaran and Jason Lapointe and Ahmad Alhaj and Rothaina Saeedi and Trisha Tee and Rolando Del Maestro and Victoria Tran},
year = {2025},
date = {2025-01-01},
journal = {Canadian journal of surgery. Journal canadien de chirurgie},
volume = {68},
number = {1suppl1},
pages = {S1-S13},
abstract = {C-CASE 2024: Surgical Education Through Innovation: Canadian Conference for the Advancement of Surgical Education, Oct. 17-18, 2024, Toronto, Ontario C-CASE 2024: Surgical Education Through Innovation: Canadian Conference for the Advancement of Surgical Education, Oct. 17-18, 2024, Toronto, Ontario Can J Surg. 2025 Feb 6;68(1suppl1):S1-S13. doi: 10.1503/cjs.000225. Print 2025 Jan-Feb. Authors Daniel Josué Guerra Ordaz 1 , Magdalena Cordoba 1 , Éolie Delisle 1 , Rocío Branes 1 , Sophie Nguyen 1 , Waiel Abdulaziz Daghistani 1 , Maryam Mozafarinia 1 , Carlos Cordoba 1 , Jessica Maher 2 , Marisa Dorling 2 , Kirk Haan 2 , Danah Fahad 2 , Alexander Moise 2 , Gizelle Francis 2 , Youssef Omar 2 , Elysia Grose 2 , Timothy Phillips 2 , Alexandra D'Souza 3 , Shaishav Datta 3 , Kyle Wanzel 3 , Retage Al Bader 4 , Clementine Affana 4 , Ashish Kumar 4 , Nancy Posel 5 , David Fleiszer 5 , Emily Lan-Vy …},
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}
C-CASE 2024: Surgical Education Through Innovation: Canadian Conference for the Advancement of Surgical Education, Oct. 17-18, 2024, Toronto, Ontario C-CASE 2024: Surgical Education Through Innovation: Canadian Conference for the Advancement of Surgical Education, Oct. 17-18, 2024, Toronto, Ontario Can J Surg. 2025 Feb 6;68(1suppl1):S1-S13. doi: 10.1503/cjs.000225. Print 2025 Jan-Feb. Authors Daniel Josué Guerra Ordaz 1 , Magdalena Cordoba 1 , Éolie Delisle 1 , Rocío Branes 1 , Sophie Nguyen 1 , Waiel Abdulaziz Daghistani 1 , Maryam Mozafarinia 1 , Carlos Cordoba 1 , Jessica Maher 2 , Marisa Dorling 2 , Kirk Haan 2 , Danah Fahad 2 , Alexander Moise 2 , Gizelle Francis 2 , Youssef Omar 2 , Elysia Grose 2 , Timothy Phillips 2 , Alexandra D'Souza 3 , Shaishav Datta 3 , Kyle Wanzel 3 , Retage Al Bader 4 , Clementine Affana 4 , Ashish Kumar 4 , Nancy Posel 5 , David Fleiszer 5 , Emily Lan-Vy …
Ordaz, Daniel Josué Guerra; Maher, Jessica; D’Souza, Alexandra; Bader, Retage Al; Posel, Nancy; Nguyen, Emily Lan-Vy; Skaik, Khaled; Driad, Cariane; Ng, Jasmine; Yang, Lucy; Sticca, Giancarlo; Francis, Gizelle; Yang, Xin Yu; Niazi, Farbod; Petruccelli, Joseph; Mikerov, Gregory; Colivas, Justine; Kreutz, Jason; Chopra, Sonaina; Pradhan, Anushka; Volfson, Emily; Peramakumar, Denesh; Patel, Prachikumari; Belaiche, Alicia; Bouthillier, Constance; McEwen, Charlotte; Akuffo-Addo, Edgar; Sohi, Gursharan; Giglio, Bianca; Tran, Victoria; Skakum, Megan; Allen, Rachael; Das, Amrit; McKenna, Alyson; Cordoba, Magdalena; Delisle, Éolie; Branes, Rocío; Nguyen, Sophie; Daghistani, Waiel Abdulaziz; Mozafarinia, Maryam; Cordoba, Carlos; Dorling, Marisa; Haan, Kirk; Fahad, Danah; Moise, Alexander; Omar, Youssef; Grose, Elysia; Phillips, Timothy; Datta, Shaishav; Wanzel, Kyle; Affana, Clementine; Kumar, Ashish; Fleiszer, David; Irfan, Ahmer; Aubrey, Jason; Coe, Taylor M; Muaddi, Hala; Bucur, Roxana; Rukavina, Nadia; Shwaartz, Chaya; Elmasry, Wassim; Haseltine, Devon; Bilson, Matthew; Moustafa, Mahmoud; Wagner, Maryam; Gomez-Garibello, Carlos; Sonesaksith-Turcotte, Xavier; Sandman, Émilie; Huynh, Lily Trang; Jantchou, Prevost; Nault, Marie-Lyne; Dhaliwal, Jaskarn; Salim, Henna; Shakeel, Ayesha; Malik, Suffia; Chung, Wiley; Al-Ani, Abdullah; Bondok, Mohamed; Chung, Helen; Gooi, Patrick; Dorion, Dominique; Omar, Yousef Abdelkhalek Saber; Hathi, Kalpesh; Philips, Timothy; Naidoo, Lalenthra; Massé, Gabrielle; Tremblay, Jean-François; Vandenbroucke-Menu, Franck; Gervais, Mai-Kim; Letendre, Julien; Jeanmart, Hugues; Lacaille-Ranger, Ariane; Ahmed, Abrar; Patel, Zeel; Arfaie, Saman; Ma, Crystal; Legler, Jack; Steinberg, Emily; Fadel, Elie; Murad, Liam; Biris, Julia; Desgagné, Charles; Noyon, Brandon; Dubrowski, Adam; Patocskai, Érica; McPhalen, Donald; Temple-Oberle, Claire; Dhanoa, Jasmin; Harley, Jason M; Acai, Anita; Keuhl, Amy; Ngo, Quang; Sherbino, Jonathan; Bassilious, Ereny; Bilgic, Elif; Tsang, Zackary; Mak, Megan; Hodaie, Mojgan; Hisey, Rebecca; Klosa, Elizabeth; Wong, Aden; Zaza, Farah; Fichtinger, Gabor; Zevin, Boris; Lisondra, James; Gao, Remi; Fung, Albert; Piché, Johanie Victoria; Hocini, Adam; Belaiche, Myriam; McNaughton-Filion, Louise; Cordoba, Tomas; Jaffer, Iqbal; Amin, Faizan; Barsuk, Jeffrey; McGaghie, William; Sibbald, Matthew; Dalson, Jaycie; Agyei, Kwame; Mohsen, Samiha; Yusuf, Safia; Juando-Prats, Clara; Simpson, Jory; Davidovic, Vanja; Yilmaz, Recai; Albeloushi, Abdulmajeed; Alhantoobi, Mohamed; Uthamacumaran, Abicumaran; Lapointe, Jason; Alhaj, Ahmad
C-CASE 2024: Surgical Education Through Innovation01. A 25-year retrospective of Canadian plastic surgery research and its influence: a thorough bibliometric study02 … Journal Article
In: vol. 68, no. 1suppl1, pp. S1-S13, 2025.
@article{ordaz2025,
title = {C-CASE 2024: Surgical Education Through Innovation01. A 25-year retrospective of Canadian plastic surgery research and its influence: a thorough bibliometric study02 …},
author = {Daniel Josué Guerra Ordaz and Jessica Maher and Alexandra D’Souza and Retage Al Bader and Nancy Posel and Emily Lan-Vy Nguyen and Khaled Skaik and Cariane Driad and Jasmine Ng and Lucy Yang and Giancarlo Sticca and Gizelle Francis and Xin Yu Yang and Farbod Niazi and Joseph Petruccelli and Gregory Mikerov and Justine Colivas and Jason Kreutz and Sonaina Chopra and Anushka Pradhan and Emily Volfson and Denesh Peramakumar and Prachikumari Patel and Alicia Belaiche and Constance Bouthillier and Charlotte McEwen and Edgar Akuffo-Addo and Gursharan Sohi and Bianca Giglio and Victoria Tran and Megan Skakum and Rachael Allen and Amrit Das and Alyson McKenna and Magdalena Cordoba and Éolie Delisle and Rocío Branes and Sophie Nguyen and Waiel Abdulaziz Daghistani and Maryam Mozafarinia and Carlos Cordoba and Marisa Dorling and Kirk Haan and Danah Fahad and Alexander Moise and Youssef Omar and Elysia Grose and Timothy Phillips and Shaishav Datta and Kyle Wanzel and Clementine Affana and Ashish Kumar and David Fleiszer and Ahmer Irfan and Jason Aubrey and Taylor M Coe and Hala Muaddi and Roxana Bucur and Nadia Rukavina and Chaya Shwaartz and Wassim Elmasry and Devon Haseltine and Matthew Bilson and Mahmoud Moustafa and Maryam Wagner and Carlos Gomez-Garibello and Xavier Sonesaksith-Turcotte and Émilie Sandman and Lily Trang Huynh and Prevost Jantchou and Marie-Lyne Nault and Jaskarn Dhaliwal and Henna Salim and Ayesha Shakeel and Suffia Malik and Wiley Chung and Abdullah Al-Ani and Mohamed Bondok and Helen Chung and Patrick Gooi and Dominique Dorion and Yousef Abdelkhalek Saber Omar and Kalpesh Hathi and Timothy Philips and Lalenthra Naidoo and Gabrielle Massé and Jean-François Tremblay and Franck Vandenbroucke-Menu and Mai-Kim Gervais and Julien Letendre and Hugues Jeanmart and Ariane Lacaille-Ranger and Abrar Ahmed and Zeel Patel and Saman Arfaie and Crystal Ma and Jack Legler and Emily Steinberg and Elie Fadel and Liam Murad and Julia Biris and Charles Desgagné and Brandon Noyon and Adam Dubrowski and Érica Patocskai and Donald McPhalen and Claire Temple-Oberle and Jasmin Dhanoa and Jason M Harley and Anita Acai and Amy Keuhl and Quang Ngo and Jonathan Sherbino and Ereny Bassilious and Elif Bilgic and Zackary Tsang and Megan Mak and Mojgan Hodaie and Rebecca Hisey and Elizabeth Klosa and Aden Wong and Farah Zaza and Gabor Fichtinger and Boris Zevin and James Lisondra and Remi Gao and Albert Fung and Johanie Victoria Piché and Adam Hocini and Myriam Belaiche and Louise McNaughton-Filion and Tomas Cordoba and Iqbal Jaffer and Faizan Amin and Jeffrey Barsuk and William McGaghie and Matthew Sibbald and Jaycie Dalson and Kwame Agyei and Samiha Mohsen and Safia Yusuf and Clara Juando-Prats and Jory Simpson and Vanja Davidovic and Recai Yilmaz and Abdulmajeed Albeloushi and Mohamed Alhantoobi and Abicumaran Uthamacumaran and Jason Lapointe and Ahmad Alhaj},
year = {2025},
date = {2025-01-01},
volume = {68},
number = {1suppl1},
pages = {S1-S13},
publisher = {Canadian Journal of Surgery},
abstract = {Background:
Bibliometric analysis is used to assess and interpret the academic output and impact within a specific field. We aimed to measure the quantity and quality of plastic surgery research conducted by Canadian authors from 1999 to 2023.
Methods:
An extensive bibliometric analysis was carried out using the Web of Science Core Collection, retrieving data from 60 leading plastic surgery journals, focusing on original articles and reviews published between 1999 and 2023. The InCites Benchmarking & Analytics platform was used to evaluate the quantity and quality of the publications. The quality was assessed using 2 main metrics: category-normalized citation impact (CNCI) and the percentage of publications in the top quartile of journals based on impact factors. We employed VOSviewer to visualize notable keywords and map collaborative relationships among universities over various periods.
Results …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Background:
Bibliometric analysis is used to assess and interpret the academic output and impact within a specific field. We aimed to measure the quantity and quality of plastic surgery research conducted by Canadian authors from 1999 to 2023.
Methods:
An extensive bibliometric analysis was carried out using the Web of Science Core Collection, retrieving data from 60 leading plastic surgery journals, focusing on original articles and reviews published between 1999 and 2023. The InCites Benchmarking & Analytics platform was used to evaluate the quantity and quality of the publications. The quality was assessed using 2 main metrics: category-normalized citation impact (CNCI) and the percentage of publications in the top quartile of journals based on impact factors. We employed VOSviewer to visualize notable keywords and map collaborative relationships among universities over various periods.
Results …
Bibliometric analysis is used to assess and interpret the academic output and impact within a specific field. We aimed to measure the quantity and quality of plastic surgery research conducted by Canadian authors from 1999 to 2023.
Methods:
An extensive bibliometric analysis was carried out using the Web of Science Core Collection, retrieving data from 60 leading plastic surgery journals, focusing on original articles and reviews published between 1999 and 2023. The InCites Benchmarking & Analytics platform was used to evaluate the quantity and quality of the publications. The quality was assessed using 2 main metrics: category-normalized citation impact (CNCI) and the percentage of publications in the top quartile of journals based on impact factors. We employed VOSviewer to visualize notable keywords and map collaborative relationships among universities over various periods.
Results …
Lopes, Alana; Rasmussen, Sean; Au, Ryan; Chakravarthy, Vignesh; Chinnery, Tricia; Christie, Jaryd; Djordjevic, Bojana; Gomez, Jose A.; Grindrod, Natalie; Policelli, Robert; Sharma, Anurag; Tran, Christopher; Walsh, Joanna C.; Wehrli, Bret; Ward, Aaron D.; Cecchini, Matthew J.
Identification of Distinct Visual Scan Paths for Pathologists in Rare-Element Search Tasks Journal Article
In: Int J Surg Pathol, vol. 33, no. 4, pp. 861–870, 2024, ISSN: 1940-2465.
@article{Lopes2024,
title = {Identification of Distinct Visual Scan Paths for Pathologists in Rare-Element Search Tasks},
author = {Alana Lopes and Sean Rasmussen and Ryan Au and Vignesh Chakravarthy and Tricia Chinnery and Jaryd Christie and Bojana Djordjevic and Jose A. Gomez and Natalie Grindrod and Robert Policelli and Anurag Sharma and Christopher Tran and Joanna C. Walsh and Bret Wehrli and Aaron D. Ward and Matthew J. Cecchini},
doi = {10.1177/10668969241294239},
issn = {1940-2465},
year = {2024},
date = {2024-11-20},
urldate = {2024-11-20},
journal = {Int J Surg Pathol},
volume = {33},
number = {4},
pages = {861--870},
publisher = {SAGE Publications},
abstract = {<jats:sec>
<jats:title>Background</jats:title>
<jats:p>The search for rare elements, like mitotic figures, is crucial in pathology. Combining digital pathology with eye-tracking technology allows for the detailed study of how pathologists complete these important tasks.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Objectives</jats:title>
<jats:p>To determine if pathologists have distinct search characteristics in domain- and nondomain-specific tasks.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Design</jats:title>
<jats:p>Six pathologists and six graduate students were recruited as observers. Each observer was given five digital “Where's Waldo?” puzzles and asked to search for the Waldo character as a nondomain-specific task. Each pathologist was then given five images of a breast digital pathology slide to search for a single mitotic figure as a domain-specific task. The observers’ eye gaze data were collected.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results</jats:title>
<jats:p>
Pathologists’ median fixation duration was 244 ms, compared to 300 ms for nonpathologists searching for Waldo (
<jats:italic>P </jats:italic>
< .001), and compared to 233 ms for pathologists searching for mitotic figures (
<jats:italic>P </jats:italic>
= .003). Pathologists’ median fixation and saccade rates were 3.17/second and 2.77/second, respectively, compared to 2.61/second and 2.47/second for nonpathologists searching for Waldo (
<jats:italic>P </jats:italic>
< .001), and compared to 3.34/second and 3.09/second for pathologists searching for mitotic figures (
<jats:italic>P </jats:italic>
= .222 and
<jats:italic>P </jats:italic>
= .187, respectively). There was no significant difference between the two cohorts in their accuracy in identifying the target of their search.
</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>When searching for rare elements during a nondomain-specific search task, pathologists’ search characteristics were fundamentally different compared to nonpathologists, indicating pathologists can rapidly classify the objects of their fixations without compromising accuracy. Further, pathologists’ search characteristics were fundamentally different between a domain-specific and nondomain-specific rare-element search task.</jats:p>
</jats:sec>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:sec>
<jats:title>Background</jats:title>
<jats:p>The search for rare elements, like mitotic figures, is crucial in pathology. Combining digital pathology with eye-tracking technology allows for the detailed study of how pathologists complete these important tasks.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Objectives</jats:title>
<jats:p>To determine if pathologists have distinct search characteristics in domain- and nondomain-specific tasks.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Design</jats:title>
<jats:p>Six pathologists and six graduate students were recruited as observers. Each observer was given five digital “Where's Waldo?” puzzles and asked to search for the Waldo character as a nondomain-specific task. Each pathologist was then given five images of a breast digital pathology slide to search for a single mitotic figure as a domain-specific task. The observers’ eye gaze data were collected.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results</jats:title>
<jats:p>
Pathologists’ median fixation duration was 244 ms, compared to 300 ms for nonpathologists searching for Waldo (
<jats:italic>P </jats:italic>
< .001), and compared to 233 ms for pathologists searching for mitotic figures (
<jats:italic>P </jats:italic>
= .003). Pathologists’ median fixation and saccade rates were 3.17/second and 2.77/second, respectively, compared to 2.61/second and 2.47/second for nonpathologists searching for Waldo (
<jats:italic>P </jats:italic>
< .001), and compared to 3.34/second and 3.09/second for pathologists searching for mitotic figures (
<jats:italic>P </jats:italic>
= .222 and
<jats:italic>P </jats:italic>
= .187, respectively). There was no significant difference between the two cohorts in their accuracy in identifying the target of their search.
</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>When searching for rare elements during a nondomain-specific search task, pathologists’ search characteristics were fundamentally different compared to nonpathologists, indicating pathologists can rapidly classify the objects of their fixations without compromising accuracy. Further, pathologists’ search characteristics were fundamentally different between a domain-specific and nondomain-specific rare-element search task.</jats:p>
</jats:sec>
<jats:title>Background</jats:title>
<jats:p>The search for rare elements, like mitotic figures, is crucial in pathology. Combining digital pathology with eye-tracking technology allows for the detailed study of how pathologists complete these important tasks.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Objectives</jats:title>
<jats:p>To determine if pathologists have distinct search characteristics in domain- and nondomain-specific tasks.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Design</jats:title>
<jats:p>Six pathologists and six graduate students were recruited as observers. Each observer was given five digital “Where's Waldo?” puzzles and asked to search for the Waldo character as a nondomain-specific task. Each pathologist was then given five images of a breast digital pathology slide to search for a single mitotic figure as a domain-specific task. The observers’ eye gaze data were collected.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results</jats:title>
<jats:p>
Pathologists’ median fixation duration was 244 ms, compared to 300 ms for nonpathologists searching for Waldo (
<jats:italic>P </jats:italic>
< .001), and compared to 233 ms for pathologists searching for mitotic figures (
<jats:italic>P </jats:italic>
= .003). Pathologists’ median fixation and saccade rates were 3.17/second and 2.77/second, respectively, compared to 2.61/second and 2.47/second for nonpathologists searching for Waldo (
<jats:italic>P </jats:italic>
< .001), and compared to 3.34/second and 3.09/second for pathologists searching for mitotic figures (
<jats:italic>P </jats:italic>
= .222 and
<jats:italic>P </jats:italic>
= .187, respectively). There was no significant difference between the two cohorts in their accuracy in identifying the target of their search.
</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>When searching for rare elements during a nondomain-specific search task, pathologists’ search characteristics were fundamentally different compared to nonpathologists, indicating pathologists can rapidly classify the objects of their fixations without compromising accuracy. Further, pathologists’ search characteristics were fundamentally different between a domain-specific and nondomain-specific rare-element search task.</jats:p>
</jats:sec>
Elkind, Emese; Tun, Aung Tin; Radcliffe, Olivia; Connolly, Laura; Davison, Colleen; Purkey, Eva; Mousavi, Parvin; Fichtinger, Gabor; Thornton, Kanchana
Canadian Association for Global Health, 2024.
@conference{Elkind2024b,
title = {Enhancing healthcare access by developing low-cost 3D printed prosthetics along the Thai-Myanmar border},
author = {Emese Elkind and Aung Tin Tun and Olivia Radcliffe and Laura Connolly and Colleen Davison and Eva Purkey and Parvin Mousavi and Gabor Fichtinger and Kanchana Thornton
},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/10/EElkind_CCGH2024.pdf},
year = {2024},
date = {2024-10-25},
urldate = {2024-10-25},
publisher = {Canadian Association for Global Health},
abstract = {Background/Objective
Inadequacies in the Burmese healthcare system, heightened by the 2021 military coup of the civil war in Myanmar and the COVID-19 pandemic, have driven thousands of refugees to Thailand seeking medical aid. Without immigration status, these refugees, especially those who have experienced limb loss, are challenged by the inability to receive healthcare. Burma Children Medical Fund (BCMF, www.burmachildren.com) based in Mae Sot, Tak, Thailand focuses on funding underserved Burmese communities’ medical treatment and providing support services.
Prosthetics in lower-income countries are usually passive, therefore, patients cannot fully perform their daily functions, impacting their abilities to work and affecting family caretakers. BCMF aims to make body-powered prosthetics that work best in low-resource settings using open-source designs, which only allow for fixed hand positions. The usage of prosthetic arms depends heavily on their functionality and comfort. Patients are more likely to consistently use prosthetics if it aids them in returning to normalcy and reducing family burdens. My objective is to design an interchangeable hand to enable critical rotational movements.
Methodology
The BCMF prosthetics project makes custom-fitted, low-cost, 3D-printed prostheses. BCMF uses open-source prosthetic models such as the Kwawu Arm 2.0, which provides an OpenSCAD (openscad.org) file for adjusting the model to the recipient's measurements. To maintain BCMF’s workflow, the interchangeable wrist model was created using the 3D design software, Autodesk Fusion 360, and designs from NIOP Q-C v1 and v2 Quick-Connect Wrist. The wrist was merged onto the Kwawu Arm, printed, assembled, and tested. This is an iterative process where patient feedback ensures the prosthetics cater to the diverse needs of the recipients.
Results
Since the launch of the prosthetics project in 2019, BCMF has provided 3D-printed prosthetics to 76 patients. The interchangeable hand provides a solution to many patients' everyday activities and can rotate the hand 360 degrees.
Conclusions
This project provides a low-cost solution to healthcare challenges in the context of poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities.
Relevance to Sub-Theme
This presentation aligns with sub-theme 2 by developing and testing methods to improve healthcare access and quality in areas affected by war, migration, poverty, and racial disparities.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Background/Objective
Inadequacies in the Burmese healthcare system, heightened by the 2021 military coup of the civil war in Myanmar and the COVID-19 pandemic, have driven thousands of refugees to Thailand seeking medical aid. Without immigration status, these refugees, especially those who have experienced limb loss, are challenged by the inability to receive healthcare. Burma Children Medical Fund (BCMF, www.burmachildren.com) based in Mae Sot, Tak, Thailand focuses on funding underserved Burmese communities’ medical treatment and providing support services.
Prosthetics in lower-income countries are usually passive, therefore, patients cannot fully perform their daily functions, impacting their abilities to work and affecting family caretakers. BCMF aims to make body-powered prosthetics that work best in low-resource settings using open-source designs, which only allow for fixed hand positions. The usage of prosthetic arms depends heavily on their functionality and comfort. Patients are more likely to consistently use prosthetics if it aids them in returning to normalcy and reducing family burdens. My objective is to design an interchangeable hand to enable critical rotational movements.
Methodology
The BCMF prosthetics project makes custom-fitted, low-cost, 3D-printed prostheses. BCMF uses open-source prosthetic models such as the Kwawu Arm 2.0, which provides an OpenSCAD (openscad.org) file for adjusting the model to the recipient's measurements. To maintain BCMF’s workflow, the interchangeable wrist model was created using the 3D design software, Autodesk Fusion 360, and designs from NIOP Q-C v1 and v2 Quick-Connect Wrist. The wrist was merged onto the Kwawu Arm, printed, assembled, and tested. This is an iterative process where patient feedback ensures the prosthetics cater to the diverse needs of the recipients.
Results
Since the launch of the prosthetics project in 2019, BCMF has provided 3D-printed prosthetics to 76 patients. The interchangeable hand provides a solution to many patients' everyday activities and can rotate the hand 360 degrees.
Conclusions
This project provides a low-cost solution to healthcare challenges in the context of poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities.
Relevance to Sub-Theme
This presentation aligns with sub-theme 2 by developing and testing methods to improve healthcare access and quality in areas affected by war, migration, poverty, and racial disparities.
Inadequacies in the Burmese healthcare system, heightened by the 2021 military coup of the civil war in Myanmar and the COVID-19 pandemic, have driven thousands of refugees to Thailand seeking medical aid. Without immigration status, these refugees, especially those who have experienced limb loss, are challenged by the inability to receive healthcare. Burma Children Medical Fund (BCMF, www.burmachildren.com) based in Mae Sot, Tak, Thailand focuses on funding underserved Burmese communities’ medical treatment and providing support services.
Prosthetics in lower-income countries are usually passive, therefore, patients cannot fully perform their daily functions, impacting their abilities to work and affecting family caretakers. BCMF aims to make body-powered prosthetics that work best in low-resource settings using open-source designs, which only allow for fixed hand positions. The usage of prosthetic arms depends heavily on their functionality and comfort. Patients are more likely to consistently use prosthetics if it aids them in returning to normalcy and reducing family burdens. My objective is to design an interchangeable hand to enable critical rotational movements.
Methodology
The BCMF prosthetics project makes custom-fitted, low-cost, 3D-printed prostheses. BCMF uses open-source prosthetic models such as the Kwawu Arm 2.0, which provides an OpenSCAD (openscad.org) file for adjusting the model to the recipient's measurements. To maintain BCMF’s workflow, the interchangeable wrist model was created using the 3D design software, Autodesk Fusion 360, and designs from NIOP Q-C v1 and v2 Quick-Connect Wrist. The wrist was merged onto the Kwawu Arm, printed, assembled, and tested. This is an iterative process where patient feedback ensures the prosthetics cater to the diverse needs of the recipients.
Results
Since the launch of the prosthetics project in 2019, BCMF has provided 3D-printed prosthetics to 76 patients. The interchangeable hand provides a solution to many patients' everyday activities and can rotate the hand 360 degrees.
Conclusions
This project provides a low-cost solution to healthcare challenges in the context of poly-crisis experienced in Myanmar, enhancing the resilience and adaptability of affected refugee communities.
Relevance to Sub-Theme
This presentation aligns with sub-theme 2 by developing and testing methods to improve healthcare access and quality in areas affected by war, migration, poverty, and racial disparities.
Warren, Jade; Jamzad, Amoon; Jamaspishvili, Tamara; Iseman, Rachael; Syeda, Ayesha; Kaufmann, Martin; Rudan, John; Fichtinger, Gabor; Berman, David M.; Mousavi, Parvin
Towards Improving Surgical Margins in Tumour Resection Using Mass Spectrometry Imaging Proceedings
2024, ISBN: 979-8-3503-7163-5.
@proceedings{10667088,
title = {Towards Improving Surgical Margins in Tumour Resection Using Mass Spectrometry Imaging},
author = {Jade Warren and Amoon Jamzad and Tamara Jamaspishvili and Rachael Iseman and Ayesha Syeda and Martin Kaufmann and John Rudan and Gabor Fichtinger and David M. Berman and Parvin Mousavi},
doi = {10.1109/CCECE59415.2024.10667088},
isbn = {979-8-3503-7163-5},
year = {2024},
date = {2024-09-21},
urldate = {2024-09-21},
abstract = {Successful cancer resection is limited by the inability to differentiate between cancer and normal tissue intraoperatively. Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) is an emerging and powerful analytical technique that offers a rapid and low cost approach for assessing surgical margins by generating detailed metabolic profiles. However, exploiting this data for tissue characterization based on molecular signals requires machine learning methods to handle its complexity. In this work, we utilize machine learning models for the characterization of tissue using DESI-MSI data obtained from prostate tissue samples. We use ViPRE, a novel open-source software, to annotate a large DESI-MSI dataset. We explore various machine learning models and train test schemes for cancer classification. Cross-validation of our models result in high balanced accuracy, sensitivity and specificity for cancer classification. Furthermore, we simulate the prospective application of perioperative tissue characterization, generating a qualitative visual prediction for whole slides that match pathology annotations. Finally, the application of linear transformation and classification algorithms on DESI-MSI data effectively distinguished between the molecular profiles associated with different cancer grades. Our findings highlight the promise of combining machine learning with large DESI-MSI datasets for tissue characterization, thereby improving surgical margin precision.},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Successful cancer resection is limited by the inability to differentiate between cancer and normal tissue intraoperatively. Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) is an emerging and powerful analytical technique that offers a rapid and low cost approach for assessing surgical margins by generating detailed metabolic profiles. However, exploiting this data for tissue characterization based on molecular signals requires machine learning methods to handle its complexity. In this work, we utilize machine learning models for the characterization of tissue using DESI-MSI data obtained from prostate tissue samples. We use ViPRE, a novel open-source software, to annotate a large DESI-MSI dataset. We explore various machine learning models and train test schemes for cancer classification. Cross-validation of our models result in high balanced accuracy, sensitivity and specificity for cancer classification. Furthermore, we simulate the prospective application of perioperative tissue characterization, generating a qualitative visual prediction for whole slides that match pathology annotations. Finally, the application of linear transformation and classification algorithms on DESI-MSI data effectively distinguished between the molecular profiles associated with different cancer grades. Our findings highlight the promise of combining machine learning with large DESI-MSI datasets for tissue characterization, thereby improving surgical margin precision.
Policelli, Robert; Dammak, Salma; Ward, Aaron D.; Kassam, Zahra; Johnson, Carol; Ramsewak, Darryl; Syed, Zafir; Siddiqi, Lubna; Siddique, Naman; Kim, Dongkeun; Marshall, Harry
A Visual Aid Tool for Detection of Pancreatic Tumour-Vessel Contact on Staging CT: A Retrospective Cohort Study Journal Article
In: Can Assoc Radiol J, vol. 75, no. 3, pp. 575–583, 2024, ISSN: 1488-2361.
@article{Policelli2023,
title = {A Visual Aid Tool for Detection of Pancreatic Tumour-Vessel Contact on Staging CT: A Retrospective Cohort Study},
author = {Robert Policelli and Salma Dammak and Aaron D. Ward and Zahra Kassam and Carol Johnson and Darryl Ramsewak and Zafir Syed and Lubna Siddiqi and Naman Siddique and Dongkeun Kim and Harry Marshall},
doi = {10.1177/08465371231217155},
issn = {1488-2361},
year = {2024},
date = {2024-08-01},
journal = {Can Assoc Radiol J},
volume = {75},
number = {3},
pages = {575--583},
publisher = {SAGE Publications},
abstract = {<jats:p> Purpose: In pancreatic adenocarcinoma, the difficult distinction between normal and affected pancreas on CT studies may lead to discordance between the pre-surgical assessment of vessel involvement and intraoperative findings. We hypothesize that a visual aid tool could improve the performance of radiology residents when detecting vascular invasion in pancreatic adenocarcinoma patients. Methods: This study consisted of 94 pancreatic adenocarcinoma patient CTs. The visual aid compared the estimated body fat density of each patient with the densities surrounding the superior mesenteric artery and mapped them onto the CT scan. Four radiology residents annotated the locations of perceived vascular invasion on each scan with the visual aid overlaid on alternating scans. Using 3 expert radiologists as the reference standard, we quantified the area under the receiver operating characteristic curve to determine the performance of the tool. We then used sensitivity, specificity, balanced accuracy ((sensitivity + specificity)/2), and spatial metrics to determine the performance of the residents with and without the tool. Results: The mean area under the curve was 0.80. Radiology residents’ sensitivity/specificity/balanced accuracy for predicting vascular invasion were 50%/85%/68% without the tool and 81%/79%/80% with it compared to expert radiologists, and 58%/85%/72% without the tool and 78%/77%/77% with it compared to the surgical pathology. The tool was not found to impact the spatial metrics calculated on the resident annotations of vascular invasion. Conclusion: The improvements provided by the visual aid were predominantly reflected by increased sensitivity and accuracy, indicating the potential of this tool as a learning aid for trainees. </jats:p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:p> Purpose: In pancreatic adenocarcinoma, the difficult distinction between normal and affected pancreas on CT studies may lead to discordance between the pre-surgical assessment of vessel involvement and intraoperative findings. We hypothesize that a visual aid tool could improve the performance of radiology residents when detecting vascular invasion in pancreatic adenocarcinoma patients. Methods: This study consisted of 94 pancreatic adenocarcinoma patient CTs. The visual aid compared the estimated body fat density of each patient with the densities surrounding the superior mesenteric artery and mapped them onto the CT scan. Four radiology residents annotated the locations of perceived vascular invasion on each scan with the visual aid overlaid on alternating scans. Using 3 expert radiologists as the reference standard, we quantified the area under the receiver operating characteristic curve to determine the performance of the tool. We then used sensitivity, specificity, balanced accuracy ((sensitivity + specificity)/2), and spatial metrics to determine the performance of the residents with and without the tool. Results: The mean area under the curve was 0.80. Radiology residents’ sensitivity/specificity/balanced accuracy for predicting vascular invasion were 50%/85%/68% without the tool and 81%/79%/80% with it compared to expert radiologists, and 58%/85%/72% without the tool and 78%/77%/77% with it compared to the surgical pathology. The tool was not found to impact the spatial metrics calculated on the resident annotations of vascular invasion. Conclusion: The improvements provided by the visual aid were predominantly reflected by increased sensitivity and accuracy, indicating the potential of this tool as a learning aid for trainees. </jats:p>
Kim, Andrew S.; Yeung, Chris; Szabo, Robert; Sunderland, Kyle; Hisey, Rebecca; Morton, David; Kikinis, Ron; Diao, Babacar; Mousavi, Parvin; Ungi, Tamas; Fichtinger, Gabor
SPIE, 2024.
@proceedings{Kim2024,
title = {Percutaneous nephrostomy needle guidance using real-time 3D anatomical visualization with live ultrasound segmentation},
author = {Andrew S. Kim and Chris Yeung and Robert Szabo and Kyle Sunderland and Rebecca Hisey and David Morton and Ron Kikinis and Babacar Diao and Parvin Mousavi and Tamas Ungi and Gabor Fichtinger},
editor = {Maryam E. Rettmann and Jeffrey H. Siewerdsen},
doi = {10.1117/12.3006533},
year = {2024},
date = {2024-03-29},
urldate = {2024-03-29},
publisher = {SPIE},
abstract = {
PURPOSE: Percutaneous nephrostomy is a commonly performed procedure to drain urine to provide relief in patients with hydronephrosis. Conventional percutaneous nephrostomy needle guidance methods can be difficult, expensive, or not portable. We propose an open-source real-time 3D anatomical visualization aid for needle guidance with live ultrasound segmentation and 3D volume reconstruction using free, open-source software. METHODS: Basic hydronephrotic kidney phantoms were created, and recordings of these models were manually segmented and used to train a deep learning model that makes live segmentation predictions to perform live 3D volume reconstruction of the fluid-filled cavity. Participants performed 5 needle insertions with the visualization aid and 5 insertions with ultrasound needle guidance on a kidney phantom in randomized order, and these were recorded. Recordings of the trials were analyzed for needle tip distance to the center of the target calyx, needle insertion time, and success rate. Participants also completed a survey on their experience. RESULTS: Using the visualization aid showed significantly higher accuracy, while needle insertion time and success rate were not statistically significant at our sample size. Participants mostly responded positively to the visualization aid, and 80% found it easier to use than ultrasound needle guidance. CONCLUSION: We found that our visualization aid produced increased accuracy and an overall positive experience. We demonstrated that our system is functional and stable and believe that the workflow with this system can be applied to other procedures. This visualization aid system is effective on phantoms and is ready for translation with clinical data.},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
PURPOSE: Percutaneous nephrostomy is a commonly performed procedure to drain urine to provide relief in patients with hydronephrosis. Conventional percutaneous nephrostomy needle guidance methods can be difficult, expensive, or not portable. We propose an open-source real-time 3D anatomical visualization aid for needle guidance with live ultrasound segmentation and 3D volume reconstruction using free, open-source software. METHODS: Basic hydronephrotic kidney phantoms were created, and recordings of these models were manually segmented and used to train a deep learning model that makes live segmentation predictions to perform live 3D volume reconstruction of the fluid-filled cavity. Participants performed 5 needle insertions with the visualization aid and 5 insertions with ultrasound needle guidance on a kidney phantom in randomized order, and these were recorded. Recordings of the trials were analyzed for needle tip distance to the center of the target calyx, needle insertion time, and success rate. Participants also completed a survey on their experience. RESULTS: Using the visualization aid showed significantly higher accuracy, while needle insertion time and success rate were not statistically significant at our sample size. Participants mostly responded positively to the visualization aid, and 80% found it easier to use than ultrasound needle guidance. CONCLUSION: We found that our visualization aid produced increased accuracy and an overall positive experience. We demonstrated that our system is functional and stable and believe that the workflow with this system can be applied to other procedures. This visualization aid system is effective on phantoms and is ready for translation with clinical data.
Klosa, Elizabeth; Levendovics, Renáta; Takács, Kristóf; Fichtinger, Gabor; Haidegger, Tamás
Exploring heart rate variability metrics for stress assessment in robot-assisted surgery training Conference
2024.
@conference{nokey,
title = {Exploring heart rate variability metrics for stress assessment in robot-assisted surgery training},
author = {Elizabeth Klosa and Renáta Levendovics and Kristóf Takács and Gabor Fichtinger and Tamás Haidegger},
url = {https://www.imno.ca/sites/default/files/ImNO2024-Proceedings.pdf},
year = {2024},
date = {2024-03-20},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}