Literature DB >> 21198416

NTCP modelling of lung toxicity after SBRT comparing the universal survival curve and the linear quadratic model for fractionation correction.

Berit M Wennberg1, Pia Baumann, Giovanna Gagliardi, Jan Nyman, Ninni Drugge, Morten Hoyer, Anders Traberg, Kristina Nilsson, Elisabeth Morhed, Lars Ekberg, Lena Wittgren, Jo-Åsmund Lund, Nina Levin, Christer Sederholm, Rolf Lewensohn, Ingmar Lax.   

Abstract

BACKGROUND: In SBRT of lung tumours no established relationship between dose-volume parameters and the incidence of lung toxicity is found. The aim of this study is to compare the LQ model and the universal survival curve (USC) to calculate biologically equivalent doses in SBRT to see if this will improve knowledge on this relationship.
MATERIAL AND METHODS: Toxicity data on radiation pneumonitis grade 2 or more (RP2+) from 57 patients were used, 10.5% were diagnosed with RP2+. The lung DVHs were corrected for fractionation (LQ and USC) and analysed with the Lyman- Kutcher-Burman (LKB) model. In the LQ-correction α/β = 3 Gy was used and the USC parameters used were: α/β = 3 Gy, D(0) = 1.0 Gy, [Formula: see text] = 10, α = 0.206 Gy(-1) and d(T) = 5.8 Gy. In order to understand the relative contribution of different dose levels to the calculated NTCP the concept of fractional NTCP was used. This might give an insight to the questions of whether "high doses to small volumes" or "low doses to large volumes" are most important for lung toxicity. RESULTS AND DISCUSSION: NTCP analysis with the LKB-model using parameters m = 0.4, D(50) = 30 Gy resulted for the volume dependence parameter (n) with LQ correction n = 0.87 and with USC correction n = 0.71. Using parameters m = 0.3, D(50) = 20 Gy n = 0.93 with LQ correction and n = 0.83 with USC correction. In SBRT of lung tumours, NTCP modelling of lung toxicity comparing models (LQ,USC) for fractionation correction, shows that low dose contribute less and high dose more to the NTCP when using the USC-model. Comparing NTCP modelling of SBRT data and data from breast cancer, lung cancer and whole lung irradiation implies that the response of the lung is treatment specific. More data are however needed in order to have a more reliable modelling.

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Year:  2011        PMID: 21198416     DOI: 10.3109/0284186X.2010.543695

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  8 in total

1.  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

2.  Predicting radiation pneumonitis after stereotactic ablative radiation therapy in patients previously treated with conventional thoracic radiation therapy.

Authors:  Hui Liu; Xu Zhang; Yevgeniy Y Vinogradskiy; Stephen G Swisher; Ritsuko Komaki; Joe Y Chang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-04-27       Impact factor: 7.038

3.  (Radio)biological optimization of external-beam radiotherapy.

Authors:  Alan E Nahum; Julien Uzan
Journal:  Comput Math Methods Med       Date:  2012-11-06       Impact factor: 2.238

4.  A Unified Dose Response Relationship to Predict High Dose Fractionation Response in the Lung Cancer Stereotactic Body Radiation Therapy.

Authors:  Than S Kehwar; Kashmiri L Chopra; Durg V Rai
Journal:  J Med Phys       Date:  2017 Oct-Dec

Review 5.  Radiobiological Optimization in Lung Stereotactic Body Radiation Therapy: Are We Ready to Apply Radiobiological Models?

Authors:  Marco D'Andrea; Silvia Strolin; Sara Ungania; Alessandra Cacciatore; Vicente Bruzzaniti; Raffaella Marconi; Marcello Benassi; Lidia Strigari
Journal:  Front Oncol       Date:  2018-01-08       Impact factor: 6.244

6.  Influence of respiratory motion management technique on radiation pneumonitis risk with robotic stereotactic body radiation therapy.

Authors:  Christopher H Chapman; Christopher McGuinness; Alexander R Gottschalk; Sue S Yom; Adam A Garsa; Mekhail Anwar; Steve E Braunstein; Atchar Sudhyadhom; Paul Keall; Martina Descovich
Journal:  J Appl Clin Med Phys       Date:  2018-04-26       Impact factor: 2.102

7.  Influence of Using a Contrast-Enhanced CT Image as the Primary Image on CyberKnife Brain Radiosurgery Treatment Plans.

Authors:  Jianping Zhang; Lin Wang; Benhua Xu; Miaoyun Huang; Yuangui Chen; Xiaobo Li
Journal:  Front Oncol       Date:  2021-09-16       Impact factor: 6.244

8.  Significance of low-dose radiation distribution in development of radiation pneumonitis after helical-tomotherapy-based hypofractionated radiotherapy for pulmonary metastases.

Authors:  In-Young Jo; Chul-Seung Kay; Ji-Yoon Kim; Seok-Hyun Son; Yong-Nam Kang; Ji-Young Jung; Ki-Jun Kim
Journal:  J Radiat Res       Date:  2013-06-11       Impact factor: 2.724

  8 in total

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