Toward Image-Guided, Robot-Assisted Focal Prostate Resection: Do Enhanced Dexterity and Visualization Improve Performance?

Focal prostate treatment (aka "male lumpectomy") has the potential to reduce invasiveness for prostate cancer patients. However, clinical deployment has been impeded by the difficulty of performing surgery through the urethra, which we hypothesize relates to both instrument dexterity and visualization limitations. To evaluate this hypothesis, in this paper we propose a system consisting of an endoscopic robot to enhance dexterity and an image-guidance display updated periodically during surgery based on MRI images. To evaluate the system, in this paper we compare four conditions: unaided manual resection using an endoscope, robot-aided surgery without image guidance, image guidance without the robot, and both robot and image guidance together. We find that while the robot and image guidance improve performance individually, the combination of the two provides the greatest improvement.

Authors

Institutions

Publication Details

Journal
Journal of Medical Robotics Research
Published
2025-12-20
DOI
https://doi.org/10.1142/s2424905x26500017
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward Image-Guided, Robot-Assisted Focal Prostate Resection: Do Enhanced Dexterity and Visualization Improve Performance?

Ahmed Ghazi, Robert J. Webster, Jesse F. d’Almeida, William A. Grissom et al.
Journal of Medical Robotics Research
Soft Robotics and Applications
article

Toward Image-Guided, Robot-Assisted Focal Prostate Resection: Do Enhanced Dexterity and Visualization Improve Performance?

Ahmed Ghazi, Robert J. Webster, Jesse F. d’Almeida, William A. Grissom, Christopher E. Vaughn, Sarah Garrow, Nicholas Kavoussi, Tayfun Efe Ertop, S. Duke Herrell, Jason Shrand, Stephan Stern, Shaan Setia, Amy E. McCart Reed
article en

Abstract

Focal prostate treatment (aka "male lumpectomy") has the potential to reduce invasiveness for prostate cancer patients. However, clinical deployment has been impeded by the difficulty of performing surgery through the urethra, which we hypothesize relates to both instrument dexterity and visualization limitations. To evaluate this hypothesis, in this paper we propose a system consisting of an endoscopic robot to enhance dexterity and an image-guidance display updated periodically during surgery based on MRI images. To evaluate the system, in this paper we compare four conditions: unaided manual resection using an endoscope, robot-aided surgery without image guidance, image guidance without the robot, and both robot and image guidance together. We find that while the robot and image guidance improve performance individually, the combination of the two provides the greatest improvement.

Journal of Medical Robotics Research
Johns Hopkins University (US), Vanderbilt University (US), Knoxville College (US), Case Western Reserve University (US), University of Tennessee at Knoxville (US), Vanderbilt University Medical Center (US)
Openalex Percentile: Top 59%
Soft Robotics and Applications
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.