Paper Info
Title
Towards intraoperative surgical margin assessment and visualization using bioimpedance properties of the tissue
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 1 MHz), 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.
Year
DOI
Venue
2015
10.1117/12.2082920
Proceedings of SPIE
Keywords
Field
DocType
Prostate Cancer,Electrical Impedance Spectroscopy,Minimally Invasive Surgery,Surgical Margin,Composite Impedance Metric
Positive Surgical Margin,Computer vision,Visualization,Surgical margin,Artificial intelligence,Prostatectomy,Prostate,Prostate cancer,Electrical impedance spectroscopy,Radiology,Biochemical recurrence,Physics
Conference
Volume
ISSN
Citations 
9414
0277-786X
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Shadab Khan1236.45
Aditya Mahara272.69
elias s hyams342.25
A. R. Schned4124.11
R. J. Halter512626.47