Literature DB >> 22342420

The features of radiation induced lung fibrosis related with dosimetric parameters.

Young-Taek Oh1, O Kyu Noh, Hyunsoo Jang, Mison Chun, Kyung Joo Park, Kwang Joo Park, Mi-Hwa Kim, Hae-Jin Park.   

Abstract

BACKGROUND AND
PURPOSE: Radiation induced lung fibrosis (RILF) is a major complication after lung irradiation and is very important for long term quality of life and could result in fatal respiratory insufficiency. However, there has been little information on dosimetric parameters for radiotherapy planning in the aspect of RILF. The features of RILF related with dosimetric parameters were evaluated. METHODS AND MATERIALS: Forty-eight patients with non-small cell lung carcinoma who underwent post-operative radiation therapy (PORT) without adjuvant chemotherapy were analyzed. The degree of lung fibrosis was estimated by fibrosis volume and the dosimetric parameters were calculated from the plan of 3-dimensional conformal radiotherapy.
RESULTS: The fibrosis volume and V-dose as dosimetric parameters showed significant correlation and the correlation coefficient ranged from 0.602 to 0.683 (P<0.01). The degree of the correlation line was steeper as the dose increase and threshold dose was not found. Mean lung dose (MLD) showed strong correlation with fibrosis volume (correlation coefficient = 0.726, P<0.01).
CONCLUSIONS: The fibrosis volume is continuously increased with V-dose as the reference dose increases. MLD is useful as a single parameter for comparing rival plans in the aspect of RILF.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22342420     DOI: 10.1016/j.radonc.2012.02.003

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  10 in total

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4.  [18F]-FDG uptake dose-response correlates with radiation pneumonitis in lung cancer patients.

Authors:  Matthew R McCurdy; Richard Castillo; Josue Martinez; Mohammad Najeeb Al Hallack; Jessica Lichter; Nicolas Zouain; Thomas Guerrero
Journal:  Radiother Oncol       Date:  2012-05-10       Impact factor: 6.280

5.  Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients.

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8.  CT-based quantitative evaluation of radiation-induced lung fibrosis: a study of interobserver and intraobserver variations.

Authors:  Jaesung Heo; Oyeon Cho; O Kyu Noh; Young-Taek Oh; Mison Chun; Mi-Hwa Kim; Hae-Jin Park
Journal:  Radiat Oncol J       Date:  2014-03-27

9.  New Clinical Features and Dosimetric Predictor Identification for Symptomatic Radiation Pneumonitis after Tangential Irradiation in Breast Cancer Patients.

Authors:  Ge Wen; Yu-Ting Tan; Xiao-Wen Lan; Zhi-Chun He; Jiang-Hua Huang; Jun-Tian Shi; Xiao Lin; Xiao-Bo Huang
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10.  Irradiated Human Umbilical Vein Endothelial Cells Undergo Endothelial-Mesenchymal Transition via the Snail/miR-199a-5p Axis to Promote the Differentiation of Fibroblasts into Myofibroblasts.

Authors:  Minxiao Yi; Bo Liu; Yang Tang; Fang Li; Wan Qin; Xianglin Yuan
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  10 in total

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