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Robustness Analysis for External Beam Radiation Therapy Treatment Plans: Describing Uncertainty Scenarios and Reporting Their Dosimetric Consequences.
Yock, Adam D; Mohan, Radhe; Flampouri, Stella; Bosch, Walter; Taylor, Paige A; Gladstone, David; Kim, Siyong; Sohn, Jason; Wallace, Robert; Xiao, Ying; Buchsbaum, Jeff.
Affiliation
  • Yock AD; Vanderbilt University Medical Center, Nashville, Tennessee.
  • Mohan R; University of Texas, MD Anderson Cancer Center, Houston, Texas.
  • Flampouri S; University of Florida, Health Proton Therapy Institute, Jacksonville, Florida.
  • Bosch W; Washington University, St. Louis, Missouri.
  • Taylor PA; University of Texas, MD Anderson Cancer Center, Houston, Texas.
  • Gladstone D; Geisel School of Medicine at Dartmouth, Hannover, New Hampshire.
  • Kim S; Virginia Commonwealth University, Richmond, Virginia.
  • Sohn J; Allegheny Health Network, Pittsburgh, Pennsylvania.
  • Wallace R; Cedars-Sinai Medical Center, Los Angeles, California.
  • Xiao Y; University of Pennsylvania, Philadelphia, Pennsylvania.
  • Buchsbaum J; National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: jeff.buchsbaum@nih.gov.
Pract Radiat Oncol ; 9(4): 200-207, 2019.
Article in En | MEDLINE | ID: mdl-30562614
ABSTRACT

PURPOSE:

With external beam radiation therapy, uncertainties in treatment planning and delivery can result in an undesirable dose distribution delivered to the patient that can compromise the benefit of treatment. Techniques including geometric margins and probabilistic optimization have been used effectively to mitigate the effects of uncertainties. However, their broad application is inconsistent and can compromise the conclusions derived from cross-technique and cross-modality comparisons. METHODS AND MATERIALS Conventional methods to deal with treatment planning and delivery uncertainties are described, and robustness analysis is presented as a framework that is applicable across treatment techniques and modalities.

RESULTS:

This report identifies elements that are imperative to include when conducting a robustness analysis and describing uncertainties and their dosimetric effects.

CONCLUSION:

The robustness analysis approach described here is presented to promote reliable plan evaluation and dose reporting, particularly during clinical trials conducted across institutions and treatment modalities.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy Dosage / Radiotherapy Planning, Computer-Assisted Type of study: Prognostic_studies Limits: Humans Language: En Journal: Pract Radiat Oncol Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy Dosage / Radiotherapy Planning, Computer-Assisted Type of study: Prognostic_studies Limits: Humans Language: En Journal: Pract Radiat Oncol Year: 2019 Document type: Article