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Table of Contents
Vol. 82, No. 5-6, 2004
Issue release date: February 2005
Section title: Laboratory Investigation
Stereotact Funct Neurosurg 2004;82:250–253
(DOI:10.1159/000083177)

Volumetric Resection Using the SurgiScope®: A Quantitative Accuracy Analysis of Robot-Assisted Resection

Amin D.V. · Lunsford L.D.
Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pa., USA

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Article / Publication Details

First-Page Preview
Abstract of Laboratory Investigation

Published online: February 17, 2005
Issue release date: February 2005

Number of Print Pages: 4
Number of Figures: 3
Number of Tables: 1

ISSN: 1011-6125 (Print)
eISSN: 1423-0372 (Online)

For additional information: http://www.karger.com/SFN

Abstract

Objective: This study evaluates the hypothesis that current image guidance technology can effectively guide the resection of a predefined intracranial volume from the surgical field in the absence of a visually distinct lesion. Methods: An in vitro model was constructed to simulate the resection of a visually nondistinct lesion. Preoperative CT was acquired, and the lesion was resected from the model with a cavitating ultrasonic aspirator using image guidance information provided by the SurgiScope® system. Results: On average, 77% of the 8.2-cm3 surgical target volume was removed. Over a series of 5 trials, the underresection volume was 1.9 cm3 on average or 23% of the surgical target volume. The overresection volume was 1.0 cm3 on average, representing 13% of the surgical target volume. Conclusion: This in vitro model developed to evaluate the accuracy and limitations of our current image guidance technology provided quantitative data to demonstrate the potential for robotic navigation systems to guide the volumetric resection in the absence of visual differentiation between the lesion and the surrounding brain.

© 2004 S. Karger AG, Basel


Article / Publication Details

First-Page Preview
Abstract of Laboratory Investigation

Published online: February 17, 2005
Issue release date: February 2005

Number of Print Pages: 4
Number of Figures: 3
Number of Tables: 1

ISSN: 1011-6125 (Print)
eISSN: 1423-0372 (Online)

For additional information: http://www.karger.com/SFN


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