2009
DOI: 10.1016/j.ijrobp.2008.09.044
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Quantifying the Dosimetric Trade-Offs When Using Intensity-Modulated Radiotherapy to Treat Concave Targets Containing Normal Tissues

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Cited by 4 publications
(2 citation statements)
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“…A previously published LPO algorithm (DeGersem et al 2001) will be used as the algorithm for MLC optimization implemented without restriction on leaf movements. The test phantom features a concave-shaped target volume that wraps around a circular organ at risk which has been used in a number of different other studies to assess IMRT and IMAT optimization (Gillis et al 2005, Mahan et al 2005, Zhang et al 2005, Oliver et al 2008, Reese et al 2009. Unconstrained IMAT plans will then be compared against each other with different optimization strategies and initial conditions.…”
Section: Introductionmentioning
confidence: 99%
“…A previously published LPO algorithm (DeGersem et al 2001) will be used as the algorithm for MLC optimization implemented without restriction on leaf movements. The test phantom features a concave-shaped target volume that wraps around a circular organ at risk which has been used in a number of different other studies to assess IMRT and IMAT optimization (Gillis et al 2005, Mahan et al 2005, Zhang et al 2005, Oliver et al 2008, Reese et al 2009. Unconstrained IMAT plans will then be compared against each other with different optimization strategies and initial conditions.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, when sparing organs at risk, the dose is redistributed to other normal tissues, possibly causing unintended tissue toxicity. 2 , 3 Therefore, clinical trial evidence is needed to support the theoretical dosimetric superiority of IMRT for its routine application in specific clinical scenarios.…”
mentioning
confidence: 99%