Reduced-order parameter optimization for simplifying prostate IMRT planning.

Reduced-order parameter optimization for simplifying prostate IMRT planning. Research Abstract Details 

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Reduced-order parameter optimization for simplifying prostate IMRT planning. Abstract Text:

Renzhi Lu,Richard J Radke,Laura Happersett,Jie Yang,Chen-Shou Chui,Ellen Yorke,Andrew Jackson,

Intensity-modulated radiotherapy (IMRT) has become an effective tool for cancer treatment with radiation. However, even expert radiation planners still need to spend a substantial amount of time manually adjusting IMRT optimization parameters such as dose limits and costlet weights in order to obtain a clinically acceptable plan. In this paper, we describe two main advances that simplify the parameter adjustment process for five-field prostate IMRT planning. First, we report the results of a sensitivity analysis that quantifies the effect of each hand-tunable parameter of the IMRT cost function on each clinical objective and the overall quality of the resulting plan. Second, we show that a recursive random search over the six most sensitive parameters as an outer loop in IMRT planning can quickly and automatically determine parameters for the cost function that lead to a plan meeting the clinical requirements. Our experiments on a ten-patient dataset show that for 70% of the cases, we can automatically determine a plan in 10 min (on the average) that is either clinically acceptable or requires only minor adjustment by the planner. The outer-loop optimization can be easily integrated into a traditional IMRT planning system.

Reduced-order parameter optimization for simplifying prostate IMRT planning. Publishing Authors By Initials

R Lu,RJ Radke,L Happersett,J Yang,CS Chui,E Yorke,A Jackson,

For similar investigative techniques: epidemiologic methods: statistics as topic: sensitivity and specificity research abstracts see: investigative techniques: epidemiologic methods: statistics as topic: sensitivity and specificity research

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Reduced-order parameter optimization for simplifying prostate IMRT planning. Journal Published:

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

Journal: Physics in medicine and biology

VOLUME: 52

Page Numbers: 849-70

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ISSN: 0031-9155

DAY: 16

MONTH: 01

YEAR: 2007

Reduced-order parameter optimization for simplifying prostate IMRT planning. Information

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LANGUAGE: eng

NlmUniqueID: 401220

Reduced-order parameter optimization for simplifying prostate IMRT planning. Keywords Mesh Terms:

KEYWORDS: Sensitivity and Specificity

MESH TERMS: statistics & numerical data

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Grant and Affiliation Information for Reduced-order parameter optimization for simplifying prostate IMRT planning.

AFFILIATION: Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. lur@rpi.edu

Country: England

AGENCY: United States NCI

GRANT: 5P01CA59017-13

ACRONYM: CA

MEDLINETA: Phys Med Biol

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