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Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures

Michael Pinto, Kevin C. Zorn, Jean-Philippe Tremblay, Joannie Desroches, Frédérick Dallaire, Kelly Aubertin, Eric Marple, Chris Kent, Frédéric Leblond, Dominique Trudel and Frédéric Lesage

Article (2019)

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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.

Uncontrolled Keywords

*Raman spectroscopy; *prostate cancer; *robotic surgery

Subjects: 2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering
2500 Electrical and electronic engineering > 2505 Photonic devices and networks
2600 Robotics > 2600 Robotics
9000 Health sciences > 9000 Health sciences
Department: Department of Electrical Engineering
Department of Engineering Physics
Funders: MEDTEQ/NSERC-CRD
PolyPublie URL: https://publications.polymtl.ca/5089/
Journal Title: Journal of Biomedical Optics (vol. 24, no. 2)
Publisher: SPIE
DOI: 10.1117/1.jbo.24.2.025001
Official URL: https://doi.org/10.1117/1.jbo.24.2.025001
Date Deposited: 04 Aug 2022 15:18
Last Modified: 10 Apr 2024 12:28
Cite in 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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