Literature DB >> 23190583

Dose-distance metric that predicts late rectal bleeding in patients receiving radical prostate external-beam radiotherapy.

Richard Lee1, Elisa K Chan, Robert Kosztyla, Mitchell Liu, Vitali Moiseenko.   

Abstract

The relationship between rectal dose distribution and the incidence of late rectal complications following external-beam radiotherapy has been previously studied using dose-volume histograms or dose-surface histograms. However, they do not account for the spatial dose distribution. This study proposes a metric based on both surface dose and distance that can predict the incidence of rectal bleeding in prostate cancer patients treated with radical radiotherapy. One hundred and forty-four patients treated with radical radiotherapy for prostate cancer were prospectively followed to record the incidence of grade ≥2 rectal bleeding. Radiotherapy plans were used to evaluate a dose-distance metric that accounts for the dose and its spatial distribution on the rectal surface, characterized by a logistic weighting function with slope a and inflection point d₀. This was compared to the effective dose obtained from dose-surface histograms, characterized by the parameter n which describes sensitivity to hot spots. The log-rank test was used to determine statistically significant (p < 0.05) cut-off values for the dose-distance metric and effective dose that predict for the occurrence of rectal bleeding. For the dose-distance metric, only d₀ = 25 and 30 mm combined with a > 5 led to statistical significant cut-offs. For the effective dose metric, only values of n in the range 0.07-0.35 led to statistically significant cut-offs. The proposed dose-distance metric is a predictor of rectal bleeding in prostate cancer patients treated with radiotherapy. Both the dose-distance metric and the effective dose metric indicate that the incidence of grade ≥2 rectal bleeding is sensitive to localized damage to the rectal surface.

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Year:  2012        PMID: 23190583     DOI: 10.1088/0031-9155/57/24/8297

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  3 in total

1.  [Prediction of rectal toxicity of radiotherapy for prostate cancer based on multi-modality feature and multi-classifiers].

Authors:  Qiang He; Xuetao Wang; Xin Li; Xin Zhen
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-08-30

2.  A tensor-based population value decomposition to explain rectal toxicity after prostate cancer radiotherapy.

Authors:  Juan David Ospina; Frédéric Commandeur; Richard Ríos; Gaël Dréan; Juan Carlos Correa; Antoine Simon; Pascal Haigron; Renaud de Crevoisier; Oscar Acosta
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

3.  Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy.

Authors:  Jiawei Chen; Haibin Chen; Zichun Zhong; Zhuoyu Wang; Brian Hrycushko; Linghong Zhou; Steve Jiang; Kevin Albuquerque; Xuejun Gu; Xin Zhen
Journal:  Radiat Oncol       Date:  2018-07-06       Impact factor: 3.481

  3 in total

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