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Is ad-hoc plan adaptation based on 2-Step IMRT feasible?

Klaus Bratengeier1, Bülent Polat, Mark Gainey

  • 1Klinik und Poliklinik für Strahlentherapie, Universität Würzburg, 97080 Würzburg, Germany. Bratengeier_K@klinik.uni-wuerzburg.de

Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|October 3, 2009
PubMed
Summary
This summary is machine-generated.

Adapting Intensity-Modulated Radiation Therapy (IMRT) plans using a geometry-based 2-Step algorithm effectively manages anatomical changes. This method offers a promising approach for maintaining plan quality in prostate cancer treatment.

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Area of Science:

  • Radiation Oncology
  • Medical Physics

Background:

  • Intensity-Modulated Radiation Therapy (IMRT) requires adaptation to anatomical changes for optimal treatment.
  • Prostate and rectum deformations pose challenges in maintaining target coverage and organ-at-risk sparing.

Purpose of the Study:

  • To explore the efficacy of a geometry-based 2-Step method for adapting step-and-shoot IMRT plans.
  • To evaluate the benefits of beam segment adaptation in response to target and organ-at-risk geometric changes.

Main Methods:

  • Retrospective analysis of six prostate cancer planning cases with significant rectal and prostate deformation.
  • Comparison of three adaptation strategies: original plan with optimized isocenter (B), newly optimized plan (C), and 2-Step adapted plan (D).
  • Dosimetric evaluation using dose-volume histogram (DVH) parameters for target volumes and organs at risk (rectum, bladder).

Main Results:

  • The 2-Step adapted plan (D) achieved target coverage comparable to the newly optimized plan (C).
  • Plan B showed poor target coverage and increased rectal V(80).
  • The adapted plan (D) resulted in intermediate rectal dose load, while other parameters were similar to the newly optimized plan (C).

Conclusions:

  • The 2-Step IMRT adaptation algorithm shows encouraging results for interfractional changes.
  • The adapted plans were superior to those with only isocenter optimization.
  • This method offers a viable alternative to full re-optimization, with only marginally inferior results.