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Title: Cluster model analysis of late rectal bleeding after IMRT of prostate cancer: A case-control study

Abstract

Purpose: Cluster models are newly developed normal-tissue complication probability models in which the spatial aspects of radiation-induced injury are taken into account by considering the size of spatially contiguous aggregates of damaged tissue units. The purpose of this study was to test the validity of a two-dimensional cluster model of late rectal toxicity based on maximum cluster size of damage to rectal surface. Methods and Materials: A paired case-control study was performed in which each of 9 patients experiencing Grade 2 or higher late rectal toxicity after intensity-modulated radiation therapy of localized prostate cancer was paired with a patient having a similar rectal dose-surface histogram but free of rectal toxicity. Numeric simulations were performed to determine the distribution of maximum cluster size on each rectal surface for each of many different choices of possible model parameters. Results: Model parameters were found for which patients with rectal toxicity were consistently more likely to have a significantly larger mean maximum cluster size than their matched controls. These parameter values correspond to a 50% probability of tissue-unit damage at doses near 30 Gy. Conclusions: This study suggests that a cluster model based on maximum cluster size of damage to rectal surface successfully incorporatesmore » spatial information beyond that contained in the rectal dose-surface histogram and may therefore provide a useful new tool for predicting rectal normal-tissue complication probability after radiotherapy.« less

Authors:
 [1];  [2];  [3];  [3];  [4];  [2]
  1. Department of Biostatistics and Applied Mathematics, University of Texas M.D. Anderson Cancer Center, Houston, TX (United States). E-mail: sltucker@mdanderson.org
  2. Department of Biostatistics and Applied Mathematics, University of Texas M.D. Anderson Cancer Center, Houston, TX (United States)
  3. Department of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston, TX (United States)
  4. Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, Houston, TX (United States)
Publication Date:
OSTI Identifier:
20793408
Resource Type:
Journal Article
Resource Relation:
Journal Name: International Journal of Radiation Oncology, Biology and Physics; Journal Volume: 64; Journal Issue: 4; Other Information: DOI: 10.1016/j.ijrobp.2005.10.029; PII: S0360-3016(05)02943-3; Copyright (c) 2006 Elsevier Science B.V., Amsterdam, Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; CARCINOMAS; CLUSTER MODEL; DAMAGE; INJURIES; PATIENTS; PROSTATE; RADIATION DOSES; RADIOTHERAPY; TOXICITY

Citation Formats

Tucker, Susan L., Zhang Ming, Dong Lei, Mohan, Radhe, Kuban, Deborah, and Thames, Howard D.. Cluster model analysis of late rectal bleeding after IMRT of prostate cancer: A case-control study. United States: N. p., 2006. Web. doi:10.1016/J.IJROBP.2005.1.
Tucker, Susan L., Zhang Ming, Dong Lei, Mohan, Radhe, Kuban, Deborah, & Thames, Howard D.. Cluster model analysis of late rectal bleeding after IMRT of prostate cancer: A case-control study. United States. doi:10.1016/J.IJROBP.2005.1.
Tucker, Susan L., Zhang Ming, Dong Lei, Mohan, Radhe, Kuban, Deborah, and Thames, Howard D.. Wed . "Cluster model analysis of late rectal bleeding after IMRT of prostate cancer: A case-control study". United States. doi:10.1016/J.IJROBP.2005.1.
@article{osti_20793408,
title = {Cluster model analysis of late rectal bleeding after IMRT of prostate cancer: A case-control study},
author = {Tucker, Susan L. and Zhang Ming and Dong Lei and Mohan, Radhe and Kuban, Deborah and Thames, Howard D.},
abstractNote = {Purpose: Cluster models are newly developed normal-tissue complication probability models in which the spatial aspects of radiation-induced injury are taken into account by considering the size of spatially contiguous aggregates of damaged tissue units. The purpose of this study was to test the validity of a two-dimensional cluster model of late rectal toxicity based on maximum cluster size of damage to rectal surface. Methods and Materials: A paired case-control study was performed in which each of 9 patients experiencing Grade 2 or higher late rectal toxicity after intensity-modulated radiation therapy of localized prostate cancer was paired with a patient having a similar rectal dose-surface histogram but free of rectal toxicity. Numeric simulations were performed to determine the distribution of maximum cluster size on each rectal surface for each of many different choices of possible model parameters. Results: Model parameters were found for which patients with rectal toxicity were consistently more likely to have a significantly larger mean maximum cluster size than their matched controls. These parameter values correspond to a 50% probability of tissue-unit damage at doses near 30 Gy. Conclusions: This study suggests that a cluster model based on maximum cluster size of damage to rectal surface successfully incorporates spatial information beyond that contained in the rectal dose-surface histogram and may therefore provide a useful new tool for predicting rectal normal-tissue complication probability after radiotherapy.},
doi = {10.1016/J.IJROBP.2005.1},
journal = {International Journal of Radiation Oncology, Biology and Physics},
number = 4,
volume = 64,
place = {United States},
year = {Wed Mar 15 00:00:00 EST 2006},
month = {Wed Mar 15 00:00:00 EST 2006}
}