| Analytical approach to estimate normal tissue complication probability using best fit of normal tissue tolerance doses into the NTCP equation of the linear quadratic model. | |
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MedLine Citation:
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PMID: 17998649 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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AIMS AND OBJECTIVES: Aims and objectives of this study are to get the best fit of the normal tissue tolerance doses to the NTCP model of the linear quadratic model. METHODS AND MATERIALS: To compute the NTCP, the modified form of the Poisson cell kill model of NTCP, based on linear-quadratic model, is used. The model has been applied to compute the parameters of the NTCP model using clinical tolerance doses of various normal tissues / organs extracted from published reports of various authors. The normal tissue tolerance doses are calculated for partial volumes of the organs using the values of above-said parameters for published data on normal tissue tolerance doses. In this article, a graphical representation of the computed NTCP for bladder, brain, heart and rectum is presented. RESULTS AND CONCLUSION: A fairly good correspondence is found between the curves of 2 sets of data for brain, heart and rectum. Hence the model may, therefore, be used to interpolate clinical data to provide an estimate of NTCP for these organs for any altered fractionated treatment schedule. |
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Authors:
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T S Kehwar |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of cancer research and therapeutics Volume: 1 ISSN: 1998-4138 ISO Abbreviation: - Publication Date: 2005 Jul-Sep |
Date Detail:
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Created Date: 2007-11-13 Completed Date: 2007-12-13 Revised Date: 2009-01-12 |
Medline Journal Info:
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Nlm Unique ID: 101249598 Medline TA: J Cancer Res Ther Country: India |
Other Details:
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Languages: eng Pagination: 168-79 Citation Subset: IM |
Affiliation:
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Department of Radiotherapy, Postgraduate Institute of Medical Education and Research, Chandigarh - 160 012, India. drkehwar@yahoo.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Humans Models, Biological* Neoplasms / radiotherapy* Probability Radiation Tolerance* Radiotherapy / adverse effects* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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