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Gamma Knife radiosurgery with CT image-based dose calculation.

Andy Yuanguang Xu1, Jagdish Bhatnagar, Greg Bednarz

  • 1University of Pittsburgh Cancer Institute. andyxu55@gmail.com.

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|December 25, 2015
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Summary
This summary is machine-generated.

The new Leksell GammaPlan software

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Area of Science:

  • Medical Physics
  • Radiosurgery
  • Radiation Oncology

Background:

  • Leksell GammaPlan software version 10 introduced advanced features for Gamma Knife radiosurgery.
  • These include CT image-based automatic skull definition and a convolution algorithm for tissue inhomogeneity correction.

Purpose of the Study:

  • To evaluate the clinical impact of these new GammaPlan features on treatment planning.
  • To compare dose calculation accuracy between TMR 10 and convolution algorithms.

Main Methods:

  • Retrospective analysis of 65 patients treated with CT-guided Gamma Knife radiosurgery.
  • Dose calculations were performed using TMR 10 and convolution algorithms with different skull definition methods.
  • Comparison of treatment time, target coverage, selectivity, gradient index, and dose statistics.

Main Results:

  • Convolution algorithm showed significant differences compared to TMR 10, averaging 8.4% in treatment time.
  • Maximum differences observed for treatment time, isodose volumes, and indices varied up to 16.8%.
  • Imaging skull definition had minimal impact, while convolution algorithm demonstrated potential for optimal dose calculation.

Conclusions:

  • The convolution algorithm in Leksell GammaPlan v10 offers improved accuracy for Gamma Knife treatment planning.
  • Routine clinical implementation of the convolution algorithm is recommended for enhanced radiosurgery outcomes.
  • CT-based skull definition is reliable, with minor variations in specific cases.