Michael Pinto, Kevin C. Zorn, Jean-Philippe Tremblay, Joannie Desroches, Frédérick Dallaire, Kelly Aubertin, Eric Marple, Chris Kent, Frédéric Leblond, Dominique Trudel et Frédéric Lesage
Article de revue (2019)
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Libre accès au plein texte de ce document Version officielle de l'éditeur Conditions d'utilisation: Creative Commons: Attribution (CC BY) Télécharger (762kB) |
Abstract
Surgical excision of the whole prostate through a radical prostatectomy procedure is part of the standard of care for prostate cancer. Positive surgical margins (cancer cells having spread into surrounding nonresected tissue) occur in as many as 1 in 5 cases and strongly correlate with disease recurrence and the requirement of adjuvant treatment. Margin assessment is currently only performed by pathologists hours to days following surgery and the integration of a real-time surgical readout would benefit current prostatectomy procedures. Raman spectroscopy is a promising technology to assess surgical margins: its in vivo use during radical prostatectomy could help insure the extent of resected prostate and cancerous tissue is maximized. We thus present the design and development of a dual excitation Raman spectroscopy system (680- and 785-nm excitations) integrated to the robotic da Vinci surgical platform for in vivo use. Following validation in phantoms, spectroscopic data from 20 whole human prostates immediately following radical prostatectomy are obtained using the system. With this dataset, we are able to distinguish prostate from extra prostatic tissue with an accuracy, sensitivity, and specificity of 91%, 90.5%, and 96%, respectively. Finally, the integrated Raman spectroscopy system is used to collect preliminary spectroscopic data at the surgical margin in vivo in four patients.
Mots clés
*Raman spectroscopy; *prostate cancer; *robotic surgery
Sujet(s): |
2500 Génie électrique et électronique > 2500 Génie électrique et électronique 2500 Génie électrique et électronique > 2505 Dispositifs et réseaux photoniques 2600 Robotique > 2600 Robotique 9000 Sciences de la santé > 9000 Sciences de la santé |
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Département: |
Département de génie électrique Département de génie physique |
Organismes subventionnaires: | MEDTEQ/NSERC-CRD |
URL de PolyPublie: | https://publications.polymtl.ca/5089/ |
Titre de la revue: | Journal of Biomedical Optics (vol. 24, no 2) |
Maison d'édition: | SPIE |
DOI: | 10.1117/1.jbo.24.2.025001 |
URL officielle: | https://doi.org/10.1117/1.jbo.24.2.025001 |
Date du dépôt: | 04 août 2022 15:18 |
Dernière modification: | 07 avr. 2025 14:53 |
Citer en APA 7: | Pinto, M., Zorn, K. C., Tremblay, J.-P., Desroches, J., Dallaire, F., Aubertin, K., Marple, E., Kent, C., Leblond, F., Trudel, D., & Lesage, F. (2019). Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures. Journal of Biomedical Optics, 24(2), 025001 (10 pages). https://doi.org/10.1117/1.jbo.24.2.025001 |
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