A simple and reliable index for scoring rival stereotactic radiosurgery plans

Thomas H Wagner; Francis J Bova; William A Friedman; John M Buatti; Lionel G Bouchet; Sanford L Meeks

doi:10.1016/S0360-3016(03)01563-3

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A simple and reliable index for scoring rival stereotactic radiosurgery plans

Journal article

Peer reviewed

A simple and reliable index for scoring rival stereotactic radiosurgery plans

Thomas H Wagner, Francis J Bova, William A Friedman, John M Buatti, Lionel G Bouchet and Sanford L Meeks

International journal of radiation oncology, biology, physics, Vol.57(4), pp.1141-1149

2003

DOI: 10.1016/S0360-3016(03)01563-3

PMID: 14575847

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Abstract

A simple and robust index for ranking rival stereotactic radiosurgery plans is presented. The radiosurgery plan score index, CGI (Conformity/Gradient Index), is an average of a conformity score and a gradient score. Computation of the CGI score is simple, requiring only three pieces of data: (1) the total volume irradiated to the prescription isodose level, (2) the volume of the target, and (3) the total volume irradiated at half of the prescription isodose level. The overall CGI Index is a simple function of these three pieces of data. When multiple sets of rival stereotactic radiosurgery plans were ranked with respect to this single score index, the resulting plan rankings closely matched the plan rankings according to biologic indices (calculated nontarget brain normal tissue complication probabilities). The CGI is a simple and fast plan evaluation tool that can assist the radiosurgery planner in evaluating and optimizing multiple candidate radiosurgery plans.

Brain neoplasms

Stereotactic

Radiosurgery

Computer-assisted radiotherapy planning

Details

Title: Subtitle: A simple and reliable index for scoring rival stereotactic radiosurgery plans
Creators: Thomas H Wagner - Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, USA
Francis J Bova - Department of Neurosurgery, University of Florida, Gainesville, FL, USA
William A Friedman - Department of Neurosurgery, University of Florida, Gainesville, FL, USA
John M Buatti - Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
Lionel G Bouchet - Department of Neurosurgery, University of Florida, Gainesville, FL, USA
Sanford L Meeks - Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
Resource Type: Journal article
Publication Details: International journal of radiation oncology, biology, physics, Vol.57(4), pp.1141-1149
DOI: 10.1016/S0360-3016(03)01563-3
PMID: 14575847
NLM abbreviation: Int J Radiat Oncol Biol Phys
ISSN: 0360-3016
eISSN: 1879-355X
Publisher: Elsevier Inc
Language: English
Date published: 2003
Academic Unit: Radiation Oncology; Neurosurgery; Otolaryngology
Record Identifier: 9984040486502771

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