A dosimetric comparison of real-time adaptive and non-adaptive radiotherapy: A multi-institutional study encompassing robotic, gimbaled, multileaf collimator and couch tracking

Radiother Oncol. 2016 Apr;119(1):159-65. doi: 10.1016/j.radonc.2016.03.006. Epub 2016 Mar 22.

Abstract

Purpose: A study of real-time adaptive radiotherapy systems was performed to test the hypothesis that, across delivery systems and institutions, the dosimetric accuracy is improved with adaptive treatments over non-adaptive radiotherapy in the presence of patient-measured tumor motion.

Methods and materials: Ten institutions with robotic(2), gimbaled(2), MLC(4) or couch tracking(2) used common materials including CT and structure sets, motion traces and planning protocols to create a lung and a prostate plan. For each motion trace, the plan was delivered twice to a moving dosimeter; with and without real-time adaptation. Each measurement was compared to a static measurement and the percentage of failed points for γ-tests recorded.

Results: For all lung traces all measurement sets show improved dose accuracy with a mean 2%/2mm γ-fail rate of 1.6% with adaptation and 15.2% without adaptation (p<0.001). For all prostate the mean 2%/2mm γ-fail rate was 1.4% with adaptation and 17.3% without adaptation (p<0.001). The difference between the four systems was small with an average 2%/2mm γ-fail rate of <3% for all systems with adaptation for lung and prostate.

Conclusions: The investigated systems all accounted for realistic tumor motion accurately and performed to a similar high standard, with real-time adaptation significantly outperforming non-adaptive delivery methods.

Keywords: Couch tracking; Gimbaled tracking; MLC tracking; Organ motion; Robotic tracking.

Publication types

  • Comparative Study
  • Multicenter Study

MeSH terms

  • Computer Systems
  • Humans
  • Lung Neoplasms / radiotherapy*
  • Male
  • Movement
  • Prostatic Neoplasms / radiotherapy
  • Radiotherapy Dosage
  • Radiotherapy Planning, Computer-Assisted* / methods
  • Robotics / instrumentation*