Literature DB >> 22541965

Dosimetric analysis of radiation-induced gastric bleeding.

Mary Feng1, Daniel Normolle, Charlie C Pan, Laura A Dawson, Sudha Amarnath, William D Ensminger, Theodore S Lawrence, Randall K Ten Haken.   

Abstract

PURPOSE: Radiation-induced gastric bleeding has been poorly understood. In this study, we described dosimetric predictors for gastric bleeding after fractionated radiation therapy. METHODS AND MATERIALS: The records of 139 sequential patients treated with 3-dimensional conformal radiation therapy (3D-CRT) for intrahepatic malignancies were reviewed. Median follow-up was 7.4 months. The parameters of a Lyman normal tissue complication probability (NTCP) model for the occurrence of ≥grade 3 gastric bleed, adjusted for cirrhosis, were fitted to the data. The principle of maximum likelihood was used to estimate parameters for NTCP models.
RESULTS: Sixteen of 116 evaluable patients (14%) developed gastric bleeds at a median time of 4.0 months (mean, 6.5 months; range, 2.1-28.3 months) following completion of RT. The median and mean maximum doses to the stomach were 61 and 63 Gy (range, 46-86 Gy), respectively, after biocorrection of each part of the 3D dose distributions to equivalent 2-Gy daily fractions. The Lyman NTCP model with parameters adjusted for cirrhosis predicted gastric bleed. Best-fit Lyman NTCP model parameters were n=0.10 and m=0.21 and with TD₅₀ (normal) = 56 Gy and TD₅₀ (cirrhosis) = 22 Gy. The low n value is consistent with the importance of maximum dose; a lower TD₅₀ value for the cirrhosis patients points out their greater sensitivity.
CONCLUSIONS: This study demonstrates that the Lyman NTCP model has utility for predicting gastric bleeding and that the presence of cirrhosis greatly increases this risk. These findings should facilitate the design of future clinical trials involving high-dose upper abdominal radiation.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22541965      PMCID: PMC3423508          DOI: 10.1016/j.ijrobp.2012.02.029

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  18 in total

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8.  Analysis of radiation-induced liver disease using the Lyman NTCP model.

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Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-07-15       Impact factor: 7.038

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  6 in total

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