Literature DB >> 23871660

Validation of a radiobiological model for low-dose-rate prostate boost focal therapy treatment planning.

Annette Haworth1, Scott Williams, Hayley Reynolds, David Waterhouse, Gillian M Duchesne, Joseph Bucci, David Joseph, Sean Bydder, Martin Ebert.   

Abstract

PURPOSE: Low-dose-rate brachytherapy using iodine-125 seeds is a highly efficacious treatment for low-risk prostate cancer. We propose a bioeffect model may be used to target an ablative dose to the tumor with a lower, therapeutic dose to low-risk regions to maintain high rates of tumor control with reduced toxicity. We report on the validation of the model and derivation of the optimal cutpoint value of tumor control probability (TCP) that predicts for freedom from biochemical failure. METHODS AND MATERIALS: The TCP was calculated from postimplant dosimetry data for 423 prostate cancer patients from three Australian institutions. To apply the model, the prostate was mathematically divided into 12 subsections with tumor characteristics, including a nonuniform distribution of tumor cell density, derived from the literature.
RESULTS: When TCP values were above and below 0.62, the 5-year freedom from biochemical failure were 93.7% (95% confidence interval [CI], 90.4, 96.4%) and 88.8% (95% confidence interval, 81.3, 94.5%), respectively (p = 0.004).
CONCLUSIONS: Using postimplant dosimetry data, the TCP model was able to predict for freedom from biochemical failure. The cutpoint value that would be used clinically depends on the selection of the model parameters, but the potential for the model to be used in the optimization of treatment planning is demonstrated. Crown
Copyright © 2013. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brachytherapy; LDR; Prostate; Radiobiology; TCP

Mesh:

Year:  2013        PMID: 23871660     DOI: 10.1016/j.brachy.2013.04.008

Source DB:  PubMed          Journal:  Brachytherapy        ISSN: 1538-4721            Impact factor:   2.362


  4 in total

Review 1.  Recent developments and best practice in brachytherapy treatment planning.

Authors:  C D Lee
Journal:  Br J Radiol       Date:  2014-06-02       Impact factor: 3.039

2.  Association analysis between quantitative MRI features and hypoxia-related genetic profiles in prostate cancer: a pilot study.

Authors:  Yu Sun; Scott Williams; David Byrne; Simon Keam; Hayley M Reynolds; Catherine Mitchell; Darren Wraith; Declan Murphy; Annette Haworth
Journal:  Br J Radiol       Date:  2019-07-30       Impact factor: 3.039

Review 3.  Focal therapy for prostate cancer: the technical challenges.

Authors:  Annette Haworth; Scott Williams
Journal:  J Contemp Brachytherapy       Date:  2017-08-30

4.  A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy.

Authors:  Robert N Finnegan; Hayley M Reynolds; Martin A Ebert; Yu Sun; Lois Holloway; Jonathan R Sykes; Jason Dowling; Catherine Mitchell; Scott G Williams; Declan G Murphy; Annette Haworth
Journal:  Phys Imaging Radiat Oncol       Date:  2022-03-06
  4 in total

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