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Study on the RBE estimation for carbon beam scanning irradiation using a solid-state microdosimeter.

Soorim Han1, Seung Hoon Yoo1, Jae Ik Shin1

  • 1Division of Heavy-Ion Clinical Research, Korea Institute of Radiological and Medical Sciences, Seoul, Korea.

Medical Physics
|November 17, 2019
PubMed
Summary

This study investigated how field size impacts Relative Biological Effectiveness (RBE) in carbon scanning beam therapy. Larger scanned areas improved RBE estimation accuracy, suggesting a potential QA tool.

Keywords:
LET measurementRBE predictionSOI detectorcarbon scanning beam

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Quality Assurance

Background:

  • Accurate estimation of Relative Biological Effectiveness (RBE) is crucial for effective carbon-pencil beam scanning radiotherapy.
  • Understanding the influence of field size on RBE is essential for optimizing treatment planning and delivery.

Purpose of the Study:

  • To investigate the effect of field size on the estimated RBE for carbon scanning beam irradiation.
  • To evaluate the performance of a silicon-on-insulator (SOI) microdosimeter system for RBE measurements.

Main Methods:

  • Utilized a silicon-on-insulator (SOI) microdosimeter system for lineal energy measurements.
  • Derived RBE values using the modified microdosimetric kinetic model (MKM) at various depths and scanned areas within a water phantom.
  • Compared microdosimeter-derived RBE with Treatment Planning System (TPS) estimations.

Main Results:

  • The difference between SOI microdosimeter/MKM-derived RBE and TPS-estimated RBE was within 6.5% at the Spread-Out Bragg Peak (SOBP) region.
  • Scanned-beam RBE values with a larger scanned area (1.0 x 1.0 cm²) showed better agreement with TPS estimations compared to spot-beam conditions.

Conclusions:

  • The silicon-on-insulator (SOI) microdosimeter system demonstrates potential as a quality assurance (QA) tool for RBE evaluation in carbon-pencil beam scanning radiotherapy.
  • Field size significantly influences RBE estimation accuracy, with larger scanned areas yielding results closer to TPS predictions.