Literature DB >> 23957564

Quantification of radiation-induced lung damage with CT scans: the possible benefit for radiogenomics.

Dirk De Ruysscher1, Hoda Sharifi, Gilles Defraene, Sarah L Kerns, Melissa Christiaens, Kim De Ruyck, Stéphanie Peeters, Johan Vansteenkiste, Robert Jeraj, Frank Van Den Heuvel, Wouter van Elmpt.   

Abstract

BACKGROUND: Radiation-induced lung damage (RILD) is an important problem. Although physical parameters such as the mean lung dose are used in clinical practice, they are not suited for individualised radiotherapy. Objective, quantitative measurements of RILD on a continuous instead of on an ordinal, semi-quantitative, semi-subjective scale, are needed.
METHODS: Hounsfield unit (HU) changes before versus three months post-radiotherapy were correlated per voxel with the radiotherapy dose in 95 lung cancer patients. Deformable registration was used to register pre- and post-CT scans and the density increase was quantified for various dose bins. The dose-response curve for increased HU was quantified using the slope of a linear regression (HU/Gy). The end-point for the toxicity analysis was dyspnoea ≥ grade 2.
RESULTS: Radiation dose was linearly correlated with the change in HU (mean R(2) = 0.74 ± 0.28). No differences in HU/Gy between groups treated with stereotactic radiotherapy, conventional radiotherapy alone, sequential or concurrent chemo- radiotherapy were observed. In the whole patient group, 33/95 (34.7%) had dyspnoea ≥ G2. Of the 48 patients with a HU/Gy below the median, 16 (33.3%) developed dyspnoea ≥ G2, while in the 47 patients with a HU/Gy above the median, 17 (36.1%) had dyspnoea ≥ G2 (not significant). Individual patients showed a nearly 21-fold difference in radiosensitivity, with HU/Gy ranging from 0 to 10 HU/Gy.
CONCLUSIONS: HU changes identify objectively the whole range of individual radiosensitivity on a continuous, quantitative scale. CT density changes may allow more robust and accurate radiogenomics studies.

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Year:  2013        PMID: 23957564     DOI: 10.3109/0284186X.2013.813074

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


  11 in total

Review 1.  Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities.

Authors:  Wouter van Elmpt; Catharina M L Zegers; Marco Das; Dirk De Ruysscher
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

Review 2.  Texture analysis of medical images for radiotherapy applications.

Authors:  Elisa Scalco; Giovanna Rizzo
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Review 3.  Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply?

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Journal:  Br J Radiol       Date:  2016-06-20       Impact factor: 3.039

Review 4.  Radiation oncology in the era of precision medicine.

Authors:  Michael Baumann; Mechthild Krause; Jens Overgaard; Jürgen Debus; Søren M Bentzen; Juliane Daartz; Christian Richter; Daniel Zips; Thomas Bortfeld
Journal:  Nat Rev Cancer       Date:  2016-03-18       Impact factor: 60.716

5.  Impact of single-nucleotide polymorphisms on radiation pneumonitis in cancer patients.

Authors:  Cheng-Xian Guo; Jing Wang; Li-Hua Huang; Jin-Gao Li; Xiang Chen
Journal:  Mol Clin Oncol       Date:  2015-10-30

6.  Association between morphologic CT imaging traits and prognostically relevant gene signatures in women with high-grade serous ovarian cancer: a hypothesis-generating study.

Authors:  Hebert Alberto Vargas; Maura Miccò; Seong Im Hong; Debra A Goldman; Fanny Dao; Britta Weigelt; Robert A Soslow; Hedvig Hricak; Douglas A Levine; Evis Sala
Journal:  Radiology       Date:  2014-11-10       Impact factor: 11.105

7.  Quantitative Analysis of Radiation-Associated Parenchymal Lung Change.

Authors:  Edward Chandy; Adam Szmul; Alkisti Stavropoulou; Joseph Jacob; Catarina Veiga; David Landau; James Wilson; Sarah Gulliford; John D Fenwick; Maria A Hawkins; Crispin Hiley; Jamie R McClelland
Journal:  Cancers (Basel)       Date:  2022-02-14       Impact factor: 6.639

8.  Advancing our quantitative understanding of radiotherapy normal tissue morbidity.

Authors:  Joseph O Deasy; Ludvig P Muren
Journal:  Acta Oncol       Date:  2014-05       Impact factor: 4.089

9.  Four-dimensional computed tomography-based biomechanical measurements of pulmonary function and their correlation with clinical outcome for lung stereotactic body radiation therapy patients.

Authors:  Hoda Sharifi; Gary C McDonald; Joon Kyu Lee; Munther I Ajlouni; Indrin J Chetty; Hualiang Zhong
Journal:  Quant Imaging Med Surg       Date:  2019-07

10.  The Value of CBCT-based Tumor Density and Volume Variations in Prediction of Early Response to Chemoradiation Therapy in Advanced NSCLC.

Authors:  Qiang Wen; Jian Zhu; Xue Meng; Changsheng Ma; Tong Bai; Xindong Sun; Jinming Yu
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

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