Analysis of dose distribution reproducibility based on a fluence map of in vivo transit dose using an electronic portal imaging device

Biomed Phys Eng Express. 2023 Dec 13;10(1). doi: 10.1088/2057-1976/ad124a.

Abstract

Morphological changes can affect distribution of dose in patients. Determination of the dose distribution changes for each fraction radiotherapy can be done by relativein vivodosimetry (IVD). This study analysed the distribution of doses per fraction based on the fluence map recorded by the electronic portal imaging device (EPID) of the patient's transit dose. This research examined cases involving the cervix, breast, and nasopharynx. Transit dose analysis was performed by calculating the gamma index (GI) with composite and field-by-field methods. The gamma passing rate (GPR) value was assessed for its correlation with the subject's body weight. In the case of the nasopharynx, breast, and cervix, the GPR value decreased as the fraction increased. In the case of the nasopharynx, the correlation between the GPR and fraction radiotherapy showed no difference when using either composite or field-by-field methods. However, in cases involving the cervix and breast, there was a difference in the correlation values between the composite and field-by-field methods, where the subject had a significant correlation (p< 0.05) when it was done using a field-by-field method. In addition, the nasopharynx had the highest number of subjects with significant correlation (p< 0.05) between GPR and body weight, followed by the cervix and breast. In the nasopharynx, breast, and cervix, the reproducibility of the dose distribution decreased. This decreased reproducibility was associated with changes in body weight.

Keywords: GPR; IVD; body weight correlation; fluence map; transit dose analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Weight
  • Electronics
  • Female
  • Humans
  • Radiometry* / methods
  • Radiotherapy Dosage
  • Radiotherapy Planning, Computer-Assisted* / methods
  • Reproducibility of Results