Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs.

Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs. Research Abstract Details 

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Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs. Abstract Text:

Ron Alterovitz,Etienne Lessard,Jean Pouliot,I-Chow Joe Hsu,James F O'Brien,Ken Goldberg,

Prostate cancer is increasingly treated with high-dose-rate (HDR) brachytherapy, a type of radiotherapy in which a radioactive source is guided through catheters temporarily implanted in the prostate. Clinicians must set dwell times for the source inside the catheters so the resulting dose distribution minimizes deviation from dose prescriptions that conform to patient-specific anatomy. The primary contribution of this paper is to take the well-established dwell times optimization problem defined by Inverse Planning by Simulated Annealing (IPSA) developed at UCSF and exactly formulate it as a linear programming (LP) problem. Because LP problems can be solved exactly and deterministically, this formulation provides strong performance guarantees: one can rapidly find the dwell times solution that globally minimizes IPSA's objective function for any patient case and clinical criteria parameters. For a sample of 20 prostates with volume ranging from 23 to 103 cc, the new LP method optimized dwell times in less than 15 s per case on a standard PC. The dwell times solutions currently being obtained clinically using simulated annealing (SA), a probabilistic method, were quantitatively compared to the mathematically optimal solutions obtained using the LP method. The LP method resulted in significantly improved objective function values compared to SA (P = 1.54 x 10(-7)), but none of the dosimetric indices indicated a statistically significant difference (P < 0.01). The results indicate that solutions generated by the current version of IPSA are clinically equivalent to the mathematically optimal solutions.

Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs. Publishing Authors By Initials

R Alterovitz,E Lessard,J Pouliot,IC Hsu,JF O'Brien,K Goldberg,

For similar relative biological effectiveness research abstracts see: relative biological effectiveness research

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Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Medical physics

VOLUME: 33

Page Numbers: 4012-9

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ISSN: 0094-2405

DAY: 3

MONTH: Nov

YEAR: 2006

Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs. Information

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LANGUAGE: eng

NlmUniqueID: 425746

Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs. Keywords Mesh Terms:

KEYWORDS: Relative Biological Effectiveness

MESH TERMS: methods

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Grant and Affiliation Information for Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs.

AFFILIATION: Department of Industrial Engineering and Operations Research, University of California, Berkeley, 4141 Etcheverry Hall, Berkeley, California 94720-1777, USA. ron@ieor.bankeley.edu

Country: United States

AGENCY: United States NIBIB

GRANT: R21 EB003452

ACRONYM: EB

MEDLINETA: Med Phys

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