Literature DB >> 17998649

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.

T S Kehwar1.   

Abstract

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.

Entities:  

Mesh:

Year:  2005        PMID: 17998649     DOI: 10.4103/0973-1482.19597

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  24 in total

1.  Comparison between the four-field box and field-in-field techniques for conformal radiotherapy of the esophagus using dose-volume histograms and normal tissue complication probabilities.

Authors:  Farzaneh Allaveisi; Amir Nami Moghadam
Journal:  Jpn J Radiol       Date:  2017-04-18       Impact factor: 2.374

2.  Volumetric-modulated arc therapy vs. c-IMRT in esophageal cancer: a treatment planning comparison.

Authors:  Li Yin; Hao Wu; Jian Gong; Jian-Hao Geng; Fan Jiang; An-Hui Shi; Rong Yu; Yong-Heng Li; Shu-Kui Han; Bo Xu; Guang-Ying Zhu
Journal:  World J Gastroenterol       Date:  2012-10-07       Impact factor: 5.742

3.  Effects of full-neck volumetric-modulated arc therapy vs split-field intensity-modulated head and neck radiation therapy on low neck targets and structures.

Authors:  Shibu J Anamalayil; Boon-Keng K Teo; Alexander Lin; Robert A Lustig; Peter H Ahn
Journal:  Br J Radiol       Date:  2016-04-04       Impact factor: 3.039

4.  Radiation treatment parameters for re-irradiation of malignant glioma.

Authors:  M Niyazi; M Söhn; S B Schwarz; P Lang; C Belka; U Ganswindt
Journal:  Strahlenther Onkol       Date:  2012-02-22       Impact factor: 3.621

5.  A treatment planning method for sequentially combining radiopharmaceutical therapy and external radiation therapy.

Authors:  Robert F Hobbs; Todd McNutt; Sébastien Baechler; Bin He; Caroline E Esaias; Eric C Frey; David M Loeb; Richard L Wahl; Ori Shokek; George Sgouros
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-10-13       Impact factor: 7.038

6.  Response-driven imaging biomarkers for predicting radiation necrosis of the brain.

Authors:  Mohammad-Reza Nazem-Zadeh; Christopher H Chapman; Thomas Chenevert; Theodore S Lawrence; Randall K Ten Haken; Christina I Tsien; Yue Cao
Journal:  Phys Med Biol       Date:  2014-04-28       Impact factor: 3.609

7.  Effect of fluence smoothing on the quality of intensity-modulated radiation treatment plans.

Authors:  Puzhakkal Niyas; Kallikuzhiyil Kochunny Abdullah; Manthala Padannayil Noufal; Thekkedath Sankaran Nair
Journal:  Radiol Phys Technol       Date:  2016-03-07

Review 8.  Gastrointestinal radiation injury: symptoms, risk factors and mechanisms.

Authors:  Abobakr K Shadad; Frank J Sullivan; Joseph D Martin; Laurence J Egan
Journal:  World J Gastroenterol       Date:  2013-01-14       Impact factor: 5.742

9.  Efficacy of dose escalation on TCP, recurrence and second cancer risks: a mathematical study.

Authors:  V S K Manem; A Dhawan; M Kohandel; S Sivaloganathan
Journal:  Br J Radiol       Date:  2014-09-11       Impact factor: 3.039

10.  Mechanistic modelling of radiotherapy-induced lung toxicity.

Authors:  E S Rutkowska; I Syndikus; C R Baker; A E Nahum
Journal:  Br J Radiol       Date:  2012-12       Impact factor: 3.039

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.