4.2 Article

Comparison of dose and catheter optimization algorithms in prostate high-dose-rate brachytherapy

期刊

BRACHYTHERAPY
卷 15, 期 1, 页码 102-111

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.brachy.2015.09.010

关键词

HDR brachytherapy; Dose optimization; Needle planning; Inverse planning

资金

  1. Canadian Institutes of Health Research (CIHR) [222048]
  2. CREATE Medical Physics Research Training Network grant of the Natural Sciences and Engineering Research Council [432290]
  3. National Sciences and Engineering Research Council of Canada (NSERC)

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PURPOSE: The purpose of this work was to compare the hybrid inverse treatment planning optimization (HIPO), inverse dose-volume histogram-based optimization (DVHO), and fast simulated annealing stochastic algorithm (IPSA). The catheter optimization algorithm HIPO was also compared with the Centroidal Voronoi Tessellation (CVT) algorithm. METHODS AND MATERIALS: In this study, eight high-dose-rate prostate cases were randomly selected from an anonymized bank of patients. Oncentra Prostate v4.1 was used to run DVHO and the HIPO catheter optimization (HIPO_cat), whereas Oncentra Brachy v4.3 was used for the remaining For fixed catheter configurations, DVHO plans were compared with IPSA and HIPO. For catheter positions optimization, CVT and HIPO_cat algorithms were compared with standard clinical template plans. CVT catheters were further restrained to the template grid (CVT_grid) and compared with HIPO_cat. RESULTS: For dose optimization, IPSA and HIPO were not different from each other. The urethra D-10 and the computation time were found significantly better with IPSA and HIPO compared with DVHO (p < 0.0001). All other dosimetric indices were not statistically different from each others (p > 0.05). For catheter placement, CVT plans were better, whereas HIPO_cat plans were significantly worse (p < 0.05) than standard clinical plans. CVT_grid plans were similar to clinical plans and fulfilling American Brachytherapy Society guidelines down to 12 catheters, whereas HIPO_cat plans do not for all catheter numbers. The CVT algorithm run time was significantly faster than HIPO_cat (p < 0.0001). CONCLUSIONS: Dose optimization engines IPSA, DVHO, and HIPO give similar dosimetric results. The CVT approach was found to be better than HIPO_cat and was able to reduce the number of catheters significantly. (C) 2016 American Brachytherapy Society. Published by Elsevier Inc. All rights reserved.

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