Literature DB >> 8416870

Modeling of normal tissue response to radiation: the critical volume model.

A Niemierko1, M Goitein.   

Abstract

PURPOSE: A model for calculating normal tissue complication probability in response to therapeutic doses of radiation is presented. METHODS AND MATERIALS: The model which we call the "critical volume model" is based on a concept of functional subunits defined either structurally (e.g., nephrons) or functionally, and an assumption that normal tissue complication probability is fully determined by the number or fraction of surviving functional subunits composing an organ or tissue. The essential features of the model are that it takes into account variations in tissue radiosensitivity and architecture of an organ for a single patient and for a patient population, and predicts the normal tissue complication probability under conditions of 3-dimensional inhomogeneity of the dose distribution. The model can be used for Integral Response, or "parallel," organs (where all functional subunits are performing the same function in parallel and the output of the organ is the sum of the outputs of the functional subunits and for Critical Element, or "serial," organs (where damage to one functional subunit results in an expression of damage for the whole organ). The model combines into one compact scheme new concepts and several ideas and models which have been previously developed by other investigators.
RESULTS: The behavior of the model is presented and discussed for the example of the kidney, with clinical nephritis as the functional endpoint.
CONCLUSIONS: The model has the potential to be a useful tool for evaluation and optimization of 3-dimensional treatment plans for a variety of types of normal tissues.

Entities:  

Mesh:

Year:  1993        PMID: 8416870     DOI: 10.1016/0360-3016(93)90156-p

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


  35 in total

1.  Dosimetric comparison of free-breathing and deep inspiration breath-hold radiotherapy for lung cancer.

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2.  Objective assessment of image quality VI: imaging in radiation therapy.

Authors:  Harrison H Barrett; Matthew A Kupinski; Stefan Müeller; Howard J Halpern; John C Morris; Roisin Dwyer
Journal:  Phys Med Biol       Date:  2013-11-21       Impact factor: 3.609

3.  Analysis of outcomes in radiation oncology: an integrated computational platform.

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Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

4.  A Prospective Comparison of the Effects of Interfractional Variations on Proton Therapy and Intensity Modulated Radiation Therapy for Prostate Cancer.

Authors:  Maryam Moteabbed; Alexei Trofimov; Gregory C Sharp; Yi Wang; Anthony L Zietman; Jason A Efstathiou; Hsiao-Ming Lu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-12-29       Impact factor: 7.038

Review 5.  Role of external beam radiation therapy in management of hepatocellular carcinoma.

Authors:  Hanish Sharma
Journal:  J Clin Exp Hepatol       Date:  2014-07-19

6.  A framework for implementation of organ effect models in TOPAS with benchmarks extended to proton therapy.

Authors:  J Ramos-Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

7.  Extracting the normal lung dose-response curve from clinical DVH data: a possible role for low dose hyper-radiosensitivity, increased radioresistance.

Authors:  J J Gordon; K Snyder; H Zhong; K Barton; Z Sun; I J Chetty; M Matuszak; R K Ten Haken
Journal:  Phys Med Biol       Date:  2015-08-21       Impact factor: 3.609

8.  Pharmacotherapy for chronic hemorrhagic radiation proctitis.

Authors:  Yunus A Gul; Subhita Prasannan; Faisal M Jabar; Abdul R H Shaker; Kevin Moissinac
Journal:  World J Surg       Date:  2002-09-26       Impact factor: 3.352

Review 9.  Challenge and hope in radiotherapy of hepatocellular carcinoma.

Authors:  Jinsil Seong
Journal:  Yonsei Med J       Date:  2009-10-20       Impact factor: 2.759

10.  The incidence of rectal bleeding following three-dimensional conformal radiotherapy of prostatic cancer.

Authors:  C Kurtman
Journal:  Int Urol Nephrol       Date:  2001       Impact factor: 2.370

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