Publications
Hisey, Rebecca; Peramakumar, Denesh; Wiseman, Vanessa; Zaza, Farah; Abolmaesumi, Iona; Klosa, Elizabeth; Wong, Aden; Fichtinger, Gabor; Zevin, Boris
Feasibility of Learner-Led Model Building for Simulation-Based Training in Open Inguinal Hernia Repair: A Randomized Controlled Trial Journal Article
In: Journal of Surgical Education, vol. 83, no. 9, pp. 104054, 2026.
@article{hisey2026,
title = {Feasibility of Learner-Led Model Building for Simulation-Based Training in Open Inguinal Hernia Repair: A Randomized Controlled Trial},
author = {Rebecca Hisey and Denesh Peramakumar and Vanessa Wiseman and Farah Zaza and Iona Abolmaesumi and Elizabeth Klosa and Aden Wong and Gabor Fichtinger and Boris Zevin},
year = {2026},
date = {2026-01-01},
journal = {Journal of Surgical Education},
volume = {83},
number = {9},
pages = {104054},
publisher = {Elsevier},
abstract = {Objectives (1) To establish the feasibility of novice learners building inguinal hernia models for simulation-based training in open inguinal hernia repairs (IHR). (2) To examine the associations between participation in model building and learners’ self-reported confidence in understanding of the inguinal canal anatomy, the anatomic accuracy of learner-constructed models, and technical performance during a simulated open IHR. We hypothesized that learner-led model construction is feasible, supports acquisition of relevant anatomy knowledge, and improves performance in some steps of a simulated open IHR. Design Prospective randomized controlled trial. Setting Queen’s University, Kingston, Ontario, Canada; institutional academic training environment. Participants Forty-eight novice learners (second-year medical students) with minimal prior exposure to open or laparoscopic IHR were enrolled and randomly …},
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}
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 …},
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pubstate = {published},
tppubtype = {article}
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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 …
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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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}
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Klosa, Elizabeth; Hisey, Rebecca; Hashtrudi-Zaad, Kian; Zevin, Boris; Ungi, Tamas; Fichtinger, Gabor
Comparing methods of identifying tissues for workflow recognition of simulated open hernia repair Conference
2023.
@conference{nokey,
title = {Comparing methods of identifying tissues for workflow recognition of simulated open hernia repair},
author = {Elizabeth Klosa and Rebecca Hisey and Kian Hashtrudi-Zaad and Boris Zevin and Tamas Ungi and Gabor Fichtinger},
url = {https://imno.ca/sites/default/files/ImNO2023Proceedings.pdf},
year = {2023},
date = {2023-03-24},
urldate = {2024-03-24},
keywords = {},
pubstate = {published},
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Hashtrudi-Zaad, Kian; Hisey, Rebecca; Klosa, Elizabeth; Zevin, Boris; Ungi, Tamas; Fichtinger, Gabor
Using object detection for surgical tool recognition in simulated open inguinal hernia repair surgery Journal Article
In: vol. 12466, pp. 96-101, 2023.
@article{fichtinger2023p,
title = {Using object detection for surgical tool recognition in simulated open inguinal hernia repair surgery},
author = {Kian Hashtrudi-Zaad and Rebecca Hisey and Elizabeth Klosa and Boris Zevin and Tamas Ungi and Gabor Fichtinger},
url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12466/124660E/Using-object-detection-for-surgical-tool-recognition-in-simulated-open/10.1117/12.2654393.short},
year = {2023},
date = {2023-01-01},
volume = {12466},
pages = {96-101},
publisher = {SPIE},
abstract = {Following the shift from time-based medical education to a competency-based approach, a computer-assisted training platform would help relieve some of the new time burden placed on physicians. A vital component of these platforms is the computation of competency metrics which are based on surgical tool motion. Recognizing the class and motion of surgical tools is one step in the development of a training platform. Object detection can achieve tool recognition. While previous literature has reported on tool recognition in minimally invasive surgeries, open surgeries have not received the same attention. Open Inguinal Hernia Repair (OIHR), a common surgery that general surgery residents must learn, is an example of such surgeries. We present a method for object detection to recognize surgical tools in simulated OIHR. Images were extracted from six video recordings of OIHR performed on phantoms. Tools …},
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tppubtype = {article}
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Klosa, Elizabeth; Hisey, Rebecca; Hashtrudi-Zaad, Kian; Zevin, Boris; Ungi, Tamas; Fichtinger, Gabor
Identifying tool-tissue interactions to distinguish steps in simulated open inguinal hernia repair Journal Article
In: vol. 12466, pp. 479-486, 2023.
@article{fichtinger2023s,
title = {Identifying tool-tissue interactions to distinguish steps in simulated open inguinal hernia repair},
author = {Elizabeth Klosa and Rebecca Hisey and Kian Hashtrudi-Zaad and Boris Zevin and Tamas Ungi and Gabor Fichtinger},
url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12466/1246620/Identifying-tool-tissue-interactions-to-distinguish-steps-in-simulated-open/10.1117/12.2654394.short},
year = {2023},
date = {2023-01-01},
volume = {12466},
pages = {479-486},
publisher = {SPIE},
abstract = {As medical education adopts a competency-based training approach, assessment of skills and timely provision of formative feedback is required. Provision of such assessment and feedback places a substantial time burden on surgeons. To reduce this time burden, we look to develop a computer-assisted training platform to provide both instruction and feedback to residents learning open Inguinal Hernia Repairs (IHR). To provide feedback on residents’ technical skills, we must first find a method of workflow recognition of the IHR. We thus aim to recognize and distinguish between workflow steps of an open IHR based on the presence and frequencies of different tool-tissue interactions occurring during each step. Based on ground truth tissue segmentations and tool bounding boxes, we identify the visible tissues within a bounding box. This provides an estimation of which tissues a tool is interacting with. The …},
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tppubtype = {article}
}
Klosa, Elizabeth; Hisey, Rebecca; Nazari, Tahmina; Wiggers, Theo; Zevin, Boris; Ungi, Tamas; Fichtinger, Gabor
Identifying tissues for task recognition in training of open inguinal hernia repairs Conference
Imaging Network of Ontario Symposium, 2022.
@conference{Klosa2022b,
title = {Identifying tissues for task recognition in training of open inguinal hernia repairs},
author = {Elizabeth Klosa and Rebecca Hisey and Tahmina Nazari and Theo Wiggers and Boris Zevin and Tamas Ungi and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/03/Klosa2022b.pdf},
year = {2022},
date = {2022-02-01},
urldate = {2022-02-01},
booktitle = {Imaging Network of Ontario Symposium},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Klosa, Elizabeth; Hisey, Rebecca; Nazari, Tahmina; Wiggers, Theo; Zevin, Boris; Ungi, Tamas; Fichtinger, Gabor
Tissue segmentation for workflow recognition in open inguinal hernia repair training Conference
SPIE Medical Imaging, SPIE Medical Imaging SPIE Medical Imaging, San Diego, 2022.
@conference{Klosa2022a,
title = {Tissue segmentation for workflow recognition in open inguinal hernia repair training},
author = {Elizabeth Klosa and Rebecca Hisey and Tahmina Nazari and Theo Wiggers and Boris Zevin and Tamas Ungi and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Klosa2022a.pdf},
year = {2022},
date = {2022-02-01},
urldate = {2022-02-01},
booktitle = {SPIE Medical Imaging},
publisher = {SPIE Medical Imaging},
address = {San Diego},
organization = {SPIE Medical Imaging},
abstract = {PURPOSE: As medical education adopts a competency-based training method, experts are spending substantial amounts of time instructing and assessing trainees’ competence. In this study, we look to develop a computer-assisted training platform that can provide instruction and assessment of open inguinal hernia repairs without needing an expert observer. We recognize workflow tasks based on the tool-tissue interactions, suggesting that we first need a method to identify tissues. This study aims to train a neural network in identifying tissues in a low-cost phantom as we work towards identifying the tool-tissue interactions needed for task recognition. METHODS: Eight simulated tissues were segmented throughout five videos from experienced surgeons who performed open inguinal hernia repairs on phantoms. A U-Net was trained using leave-one-user-out cross validation. The average F-score, false positive rate and false negative rate were calculated for each tissue to evaluate the U-Net’s performance. RESULTS: Higher F-scores and lower false negative and positive rates were recorded for the skin, hernia sac, spermatic cord, and nerves, while slightly lower metrics were recorded for the subcutaneous tissue, Scarpa’s fascia, external oblique aponeurosis and superficial epigastric vessels. CONCLUSION: The U-Net performed better in recognizing tissues that were relatively larger in size and more prevalent, while struggling to recognize smaller tissues only briefly visible. Since workflow recognition does not require perfect segmentation, we believe our U-Net is sufficient in recognizing the tissues of an inguinal hernia repair phantom. Future studies will explore combining our segmentation U-Net with tool detection as we work towards workflow recognition.},
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}