On-line optimization of intraoperative electron beam radiotherapy of the breast

Stefano Agostinelli, Marco Gusinu, Francesca Cavagnetto, Stefania Garelli, Michele Zeverino, Marina Guenzi, Renzo Corvò, Gianni Taccini

Research output: Contribution to journalArticle

Abstract

Purpose: To optimize the dose delivery to the breast lumpectomy target treated with intraoperative electron beam radiotherapy (IOERT). Materials and methods: Two tools have been developed in our MU calculation software NEMO X to improve the dose homogeneity and the in-vivo dosimetry effectiveness for IOERT treatments. Given the target (tumor bed) thickness measured by the surgeon, NEMO X can provide auto dose normalization to cover 95% of the target volume with 95% of the prescription dose (PD) and a "best guess" of the expected dosimeter dose (EDD) for a deep seated in-vivo dosimeter. The tools have been validated with the data of 91 patients treated with IOERT on a LIAC mobile accelerator. In-vivo dosimetry has been performed with microMOSFETs positioned on the shielding disk inserted between the tumor bed and the chest wall. Results: On average the auto normalization showed to provide better results if compared to conventional normalization rules in terms of mean target dose (|MTD-PD|/PD ≤ 5% in 95% vs. 53% of pts) and V107 percentage (〈V107〉 = 19% vs. 32%). In-vivo dosimetry MOSFET dose (MD) showed a better correlation with the EDD guessed by our tool than just by assuming that EDD = PD (|MD-EDD|/EDD ≤ 5% in 57 vs. 26% of pts). Conclusions: NEMO X provides two useful tools for the on-line optimization of the dose delivery in IOERT. This optimization can help to reduce unnecessary large over-dosage regions and allows introducing reliable action levels for in-vivo dosimetry.

Original languageEnglish
Pages (from-to)188-192
Number of pages5
JournalRadiotherapy and Oncology
Volume103
Issue number2
DOIs
Publication statusPublished - May 2012

Keywords

  • Dose normalization
  • In-vivo dosimetry
  • IORT
  • MOSFET
  • MU calculation

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Hematology

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