Towards intraoperative surgical margin assessment and visualization using bioimpedance properties of the tissue

Shadab Khan; Aditya Mahara; Elias S. Hyams; Alan Schned; Ryan Halter

doi:10.1117/12.2082920

20 March 2015 Towards intraoperative surgical margin assessment and visualization using bioimpedance properties of the tissue

Shadab Khan, Aditya Mahara, Elias S. Hyams, Alan Schned, Ryan Halter

Author Affiliations +

Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 94141C (2015) https://doi.org/10.1117/12.2082920
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Prostate cancer (PCa) has a high 10-year recurrence rate, making PCa the second leading cause of cancer-specific mortality among men in the USA. PCa recurrences are often predicted by assessing the status of surgical margins (SM) with positive surgical margins (PSM) increasing the chances of biochemical recurrence by 2-4 times. To this end, an SM assessment system using Electrical Impedance Spectroscopy (EIS) was developed with a microendoscopic probe. This system measures the tissue bioimpedance over a range of frequencies (1 kHz to 1MHz), and computes a Composite Impedance Metric (CIM). CIM can be used to classify tissue as benign or cancerous. The system was used to collect the impedance spectra from excised prostates, which were obtained from men undergoing radical prostatectomy. The data revealed statistically significant (p<0.05) differences in the impedance properties of the benign and tumorous tissues, and between different tissue morphologies. To visualize the results of SM-assessment, a visualization tool using da Vinci stereo laparoscope is being developed. Together with the visualization tool, the EIS-based SM assessment system can be potentially used to intraoperatively classify tissues and display the results on the surgical console with a video feed of the surgical site, thereby augmenting a surgeon’s view of the site and providing a potential solution to the intraoperative SM assessment needs.

Citation Download Citation

Shadab Khan, Aditya Mahara, Elias S. Hyams, Alan Schned, and Ryan Halter "Towards intraoperative surgical margin assessment and visualization using bioimpedance properties of the tissue", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94141C (20 March 2015); https://doi.org/10.1117/12.2082920

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