{"id":2391,"date":"2024-03-09T16:25:37","date_gmt":"2024-03-09T16:25:37","guid":{"rendered":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/natasja-janssen\/"},"modified":"2024-03-09T16:25:37","modified_gmt":"2024-03-09T16:25:37","slug":"natasja-janssen","status":"publish","type":"qsc_member","link":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/natasja-janssen\/","title":{"rendered":"Natasja Janssen"},"content":{"rendered":"
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Natasja Janssen<\/h1>\n<\/div>\n
Postdoctoral Fellow<\/div>\n
School of Computing<\/div>\n
Queen’s University<\/div>\n
Member from August 2018<\/em> to present<\/em><\/div>\n
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\n\tNatasja Janssen received her BSc and Msc in Technical Medicine from the University of Twente in Enschede, the Netherlands. She graduated in 2013 and started to work in the Netherlands Cancer Institute as a PhD student at both the departments of radiation and surgical oncology. Her PhD research was focused on improving surgical outcome for patients with non-palpable breast cancer in which she worked closely together with a variety of clinicians such as radiation oncologists, radiologists, surgical oncologists and pathologists but also physicists and computer engineers. In September 2018 she defended her PhD thesis ‘Navigating towards the unseen margins of non-palpable breast cancer’ at the University of Amsterdam. She is now working as a post-doctoral researcher in the Perk Lab. Her research interests remain image-guided medical interventions and surgical navigation, aiming to improve patient outcome.<\/p>\n

Natasja is a Perk Lab alumna, returned to academia in The Netherlands.
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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<\/p>

211 Three-Dimensional Navigated Mass Spectrometry for Intraoperative Margin Assessment During Breast Cancer Surgery Journal Article<\/span> <\/p>

In: <\/span>Laboratory Investigation, <\/span>vol. 105, <\/span>no. 3, <\/span>2025<\/span>.<\/p>

Abstract<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{othman2025,
\r\ntitle = {211 Three-Dimensional Navigated Mass Spectrometry for Intraoperative Margin Assessment During Breast Cancer Surgery},
\r\nauthor = {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},
\r\nyear  = {2025},
\r\ndate = {2025-01-01},
\r\njournal = {Laboratory Investigation},
\r\nvolume = {105},
\r\nnumber = {3},
\r\npublisher = {Elsevier},
\r\nabstract = {Background 
\r\nIntraoperative 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 \u2026},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
Background 
\r\nIntraoperative 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 \u2026<\/div>
Close<\/a><\/p><\/div><\/div><\/div>
 Kaufmann, Martin;  Jamzad, Amoon;  Ungi, Tamas;  Rodgers, Jessica R;  Koster, Teaghan;  Yeung, Chris;  Ehrlich, Josh;  Santilli, Alice;  Asselin, Mark;  Janssen, Natasja;  McMullen, Julie;  Solberg, Kathryn;  Cheesman, Joanna;  Carlo, Alessia Di;  Ren, Kevin Yi Mi;  Varma, Sonal;  Merchant, Shaila;  Engel, Cecil Jay;  Walker, G Ross;  Gallo, Andrea;  Jabs, Doris;  Mousavi, Parvin;  Fichtinger, Gabor;  Rudan, John F<\/p>
Abstract PO2-23-07: Three-dimensional navigated mass spectrometry for intraoperative margin assessment during breast cancer surgery<\/a> Journal Article<\/span> <\/p>
In: <\/span>Cancer Research, <\/span>vol. 84, <\/span>iss. 9_Supplement, <\/span>pp. PO2-23-07-PO2-23-07, <\/span>2024<\/span>.<\/p>
Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>
@article{fichtinger2024c,
\r\ntitle = {Abstract PO2-23-07: Three-dimensional navigated mass spectrometry for intraoperative margin assessment during breast cancer surgery},
\r\nauthor = {Martin Kaufmann and Amoon Jamzad and Tamas Ungi and Jessica R Rodgers and Teaghan Koster and Chris Yeung and Josh Ehrlich and Alice Santilli and Mark Asselin and Natasja Janssen and Julie McMullen and Kathryn Solberg and Joanna Cheesman and Alessia Di Carlo and Kevin Yi Mi Ren and Sonal Varma and Shaila Merchant and Cecil Jay Engel and G Ross Walker and Andrea Gallo and Doris Jabs and Parvin Mousavi and Gabor Fichtinger and John F Rudan},
\r\nurl = {https:\/\/aacrjournals.org\/cancerres\/article\/84\/9_Supplement\/PO2-23-07\/743683},
\r\nyear  = {2024},
\r\ndate = {2024-01-01},
\r\njournal = {Cancer Research},
\r\nvolume = {84},
\r\nissue = {9_Supplement},
\r\npages = {PO2-23-07-PO2-23-07},
\r\npublisher = {The American Association for Cancer Research},
\r\nabstract = {Positive resection margins occur in approximately 25% of breast cancer (BCa) surgeries, requiring re-operation. Margin status is not routinely available during surgery; thus, technologies that identify residual cancer on the specimen or cavity are needed to provide intraoperative decision support that may reduce positive margin rates. Rapid evaporative ionization mass spectrometry (REIMS) is an emerging technique that chemically profiles the plume generated by tissue cauterization to classify the ablated tissue as either cancerous or non-cancerous, on the basis of detected lipid species. Although REIMS can distinguish cancer and non-cancerous breast tissue by the signals generated, it does not indicate the location of the classified tissue in real-time. Our objective was to combine REIMS with spatio-temporal navigation (navigated REIMS), and to compare performance of navigated REIMS with conventional \u2026},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
Positive resection margins occur in approximately 25% of breast cancer (BCa) surgeries, requiring re-operation. Margin status is not routinely available during surgery; thus, technologies that identify residual cancer on the specimen or cavity are needed to provide intraoperative decision support that may reduce positive margin rates. Rapid evaporative ionization mass spectrometry (REIMS) is an emerging technique that chemically profiles the plume generated by tissue cauterization to classify the ablated tissue as either cancerous or non-cancerous, on the basis of detected lipid species. Although REIMS can distinguish cancer and non-cancerous breast tissue by the signals generated, it does not indicate the location of the classified tissue in real-time. Our objective was to combine REIMS with spatio-temporal navigation (navigated REIMS), and to compare performance of navigated REIMS with conventional \u2026<\/div>
Close<\/a><\/p><\/div>