Patient-specific dosimetric endpoints based treatment plan quality control in radiotherapy

Ting Song, David Staub, Mingli Chen, Weiguo Lu, Zhen Tian, Xun Jia, Yongbao Li, Linghong Zhou, Steve B. Jiang, Xuejun Gu

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

In intensity modulated radiotherapy (IMRT), the optimal plan for each patient is specific due to unique patient anatomy. To achieve such a plan, patient-specific dosimetric goals reflecting each patient's unique anatomy should be defined and adopted in the treatment planning procedure for plan quality control. This study is to develop such a personalized treatment plan quality control tool by predicting patient-specific dosimetric endpoints (DEs). The incorporation of patient specific DEs is realized by a multi-OAR geometry-dosimetry model, capable of predicting optimal DEs based on the individual patient's geometry. The overall quality of a treatment plan is then judged with a numerical treatment plan quality indicator and characterized as optimal or suboptimal. Taking advantage of clinically available prostate volumetric modulated arc therapy (VMAT) treatment plans, we built and evaluated our proposed plan quality control tool. Using our developed tool, six of twenty evaluated plans were identified as sub-optimal plans. After plan re-optimization, these suboptimal plans achieved better OAR dose sparing without sacrificing the PTV coverage, and the dosimetric endpoints of the re-optimized plans agreed well with the model predicted values, which validate the predictability of the proposed tool. In conclusion, the developed tool is able to accurately predict optimally achievable DEs of multiple OARs, identify suboptimal plans, and guide plan optimization. It is a useful tool for achieving patient-specific treatment plan quality control.

Original languageEnglish (US)
Pages (from-to)8213-8227
Number of pages15
JournalPhysics in Medicine and Biology
Volume60
Issue number21
DOIs
StatePublished - Oct 8 2015

Keywords

  • bagging ensemble learning
  • dosimetric endpoints
  • IMRT plan quality control

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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