Treatment Planning Optimization for Linear Accelerator Radiosurgery

Sanford L Meeks; John M Buatti; Francis J Bova; William A Friedman; William M Mendenhall

doi:10.1016/S0360-3016(98)00044-3

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Treatment Planning Optimization for Linear Accelerator Radiosurgery

Journal article

Peer reviewed

Treatment Planning Optimization for Linear Accelerator Radiosurgery

Sanford L Meeks, John M Buatti, Francis J Bova, William A Friedman and William M Mendenhall

International journal of radiation oncology, biology, physics, Vol.41(1), pp.183-197

1998

DOI: 10.1016/S0360-3016(98)00044-3

PMID: 9588933

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Abstract

Purpose: Linear accelerator radiosurgery uses multiple arcs delivered through circular collimators to produce a nominally spherical dose distribution. Production of dose distributions that conform to irregular lesions or conformally avoid critical neural structures requires a detailed understanding of the available treatment planning parameters. Methods and Materials: Treatment planning parameters that may be manipulated within a single isocenter to provide conformal avoidance and dose conformation to ellipsoidal lesions include differential arc weighting and gantry start/stop angles. More irregular lesions require the use of multiple isocenters. Iterative manipulation of treatment planning variables can be difficult and computationally expensive, especially if the effects of these manipulations are not well defined. Effects of treatment parameter manipulation are explained and illustrated. This is followed by description of the University of Florida Stereotactic Radiosurgery Treatment Planning Algorithm. This algorithm organizes the manipulations into a practical approach for radiosurgery treatment planning. Results: Iterative treatment planning parameters may be efficiently manipulated to achieve optimal treatment plans by following the University of Florida Treatment Planning Algorithm. The ability to produce conformal stereotactic treatment plans using the algorithm is demonstrated for a variety of clinical presentations. Conclusion: The standard dose distribution produced in linear accelerator radiosurgery is spherical, but manipulation of available treatment planning parameters may result in optimal dose conformation. The University of Florida Treatment Planning Algorithm organizes available treatment parameters to efficiently produce conformal radiosurgery treatment plans.

Conformal

Linac

Treatment planning

Optimization

Radiosurgery

Details

Title: Subtitle: Treatment Planning Optimization for Linear Accelerator Radiosurgery
Creators: Sanford L Meeks - Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, FL, USA
John M Buatti - Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, FL, USA
Francis J Bova - Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, FL, USA
William A Friedman - Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA
William M Mendenhall - Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, FL, USA
Resource Type: Journal article
Publication Details: International journal of radiation oncology, biology, physics, Vol.41(1), pp.183-197
DOI: 10.1016/S0360-3016(98)00044-3
PMID: 9588933
NLM abbreviation: Int J Radiat Oncol Biol Phys
ISSN: 0360-3016
eISSN: 1879-355X
Publisher: Elsevier Inc
Language: English
Date published: 1998
Academic Unit: Radiation Oncology; Neurosurgery; Otolaryngology
Record Identifier: 9984040571402771

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