Literature DB >> 2562974

Direct estimation of latent time for radiation injury in late-responding normal tissues: gut, lung, and spinal cord.

S M Bentzen1, H D Thames, E L Travis, K K Ang, E Van der Schueren, L Dewit, D O Dixon.   

Abstract

Mixture models are proposed for simultaneous analysis of the latency and fractionation characteristics of radiation injury in late-responding normal tissues. The method is an extension of the direct analysis for quantal response data. Conceptually, the application of the mixture model is based on the biological observation that over a wide range of doses a proportion of the irradiated subjects will never express damage. Mixture models allow the time of occurrence to be utilized in the analysis. Furthermore, this type of model takes time-censored observations into account in a natural way and provides an adequate framework for modelling and analysis of effect-dependent latency. Mixture models with complete and incomplete repair are applied to dose-incidence data for four late endpoints in rodents: death from radiation-induced pneumonitis, leg paralysis after spinal-cord irradiation, and radiation-induced rectal stenosis and anal discharge. Radiation-induced pneumonitis had an effect-dependent latency. The modelling of this phenomenon correlates well with the results of histologic studies. Interestingly, the ratio of hazard rates was not constant for this endpoint. The dominating feature in the latency of radiation injury to the spinal cord was a strong dependency on dose per fraction. After correction for this effect a tendency towards a longer latent time for lower effect levels was observed. For the rectal complications, there was no difference between latency with radiation only vs. radiation combined with cis-platin.

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Year:  1989        PMID: 2562974     DOI: 10.1080/09553008914550041

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  8 in total

1.  Modulation of fibrinolysis by ionizing radiation.

Authors:  J S Rao; A Rayford; M Yamamoto; K K Ang; P Tofilon; R Sawaya
Journal:  J Neurooncol       Date:  1994       Impact factor: 4.130

2.  External beam radiotherapy for primary spinal cord tumors.

Authors:  H C Chun; R K Schmidt-Ullrich; A Wolfson; O F Tercilla; R H Sagerman; G A King
Journal:  J Neurooncol       Date:  1990-12       Impact factor: 4.130

Review 3.  Preclinical Risk Evaluation of Normal Tissue Injury With Novel Radiosensitizers.

Authors:  Sonja Dragojevic; Jianxiong Ji; Pankaj K Singh; Margaret A Connors; Robert W Mutter; Scott C Lester; Surabhi M Talele; Wenjuan Zhang; Brett L Carlson; Nicholas B Remmes; Sean S Park; William F Elmquist; Sunil Krishnan; Erik J Tryggestad; Jann N Sarkaria
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-08-14       Impact factor: 7.038

4.  Analysis of radiation pneumonitis risk using a generalized Lyman model.

Authors:  Susan L Tucker; H Helen Liu; Zhongxing Liao; Xiong Wei; Shulian Wang; Hekun Jin; Ritsuko Komaki; Mary K Martel; Radhe Mohan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-10-01       Impact factor: 7.038

5.  Hyperbaric oxygen therapy for radiation-induced brachial plexopathy, a case report and literature review.

Authors:  Hayley B Stowe; Brandon T Mullins; Bhishamjit S Chera
Journal:  Rep Pract Oncol Radiother       Date:  2019-11-18

6.  Failure-specific prognostic factors after continuous hyperfractionated accelerated radiotherapy (CHART) or conventional radiotherapy in locally advanced non-small-cell lung cancer: a competing risks analysis.

Authors:  O U Ataman; S M Bentzen; M I Saunders; S Dische
Journal:  Br J Cancer       Date:  2001-10-19       Impact factor: 7.640

Review 7.  Review of stereotactic radiosurgery for intramedullary spinal lesions.

Authors:  Hyung-Ki Park; Jae-Chil Chang
Journal:  Korean J Spine       Date:  2013-03-31

8.  Multivariate NTCP Model of Hypothyroidism After Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma.

Authors:  Guanzhu Shen; Yinglin Peng; Jian Li; Haijun Wu; Guangshun Zhang; Chong Zhao; Xiaowu Deng
Journal:  Front Oncol       Date:  2021-08-23       Impact factor: 6.244

  8 in total

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