Title
3D Microendoscopic Electrical Impedance Tomography for Margin Assessment during Robot-Assisted Laparoscopic Prostatectomy
Abstract
Radially configured microendoscopic electrical impedance probes intended for intraoperative surgical margin assessment during robot-assisted laparoscopic prostatectomy (RALP) were examined through simulation, bench-top experimentation, and ex vivo tissue studies. Three probe designs with 8, 9, and 17 electrodes, respectively, were analyzed through finite element method based simulations. One mm diameter spherical inclusions (σinclusion=1S/m) are positioned at various locations within a hemispherical background (σbackground=0.1S/m) of radius 5 mm. An 8-electrode configuration is not able to localize the inclusion at these positions while 9 and 17-electrode configurations are able to accurately reconstruct the inclusion at maximum depth of 1 mm and 3 mm, respectively. All three probe designs were constructed and evaluated using saline phantoms and ex vivo porcine and human prostate tissues. The 17-electrode probe performed best in saline phantom studies, accurately reconstructing high contrast, 1 mm diameter metal cylindrical inclusions in a saline bath (σsaline=0.1S/m) with a position and area error of 0.46 mm and 0.84 mm2, respectively. Additionally, the 17-electrode probe was able to adequately distinguish cancerous from benign tissues in three ex vivo human prostates. Simulations, bench-top saline experiments, and ex vivo tissue sampling suggest that for intraoperative surgical margin assessment during RALP, the 17-electrode probe (as compared to an 8 and 9 electrode probe) will be necessary to provide sufficient accuracy and sensitivity.
Year
DOI
Venue
2015
10.1109/TMI.2015.2407833
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Electrical impedance tomography, microendoscopic probe, prostate cancer, surgical margin assessment
Computer vision,Imaging phantom,Tomography,Laparoscopic Prostatectomy,Artificial intelligence,Surgery,Tissue sampling,Nuclear magnetic resonance,Mathematics,Electrical impedance tomography
Journal
Volume
Issue
ISSN
PP
99
0278-0062
Citations 
PageRank 
References 
4
0.90
5
Authors
6
Name
Order
Citations
PageRank
Aditya Mahara172.69
Shadab Khan2236.45
Ethan K. Murphy3164.84
A. R. Schned4124.11
elias s hyams542.25
R. J. Halter612626.47