Literature DB >> 21497454

Investigation of the relationship between gross tumor volume location and pneumonitis rates using a large clinical database of non-small-cell lung cancer patients.

Yevgeniy Vinogradskiy1, Susan L Tucker, Zhongxing Liao, Mary K Martel.   

Abstract

PURPOSE: Studies have suggested that function may vary throughout the lung, and that patients who have tumors located in the base of the lung are more susceptible to radiation pneumonitis. The purpose of our study was to investigate the relationship between gross tumor volume (GTV) location and pneumonitis rates using a large clinical database of 547 patients with non-small-cell lung cancer. METHODS AND MATERIALS: The GTV centroids of all patients were mapped onto one common coordinate system, in which the boundaries of the coordinate system were defined by the extreme points of each individual patient lung. The data were qualitatively analyzed by graphing all centroids and displaying the data according to the presence of severe pneumonitis, tumor stage, and smoking status. The centroids were grouped according to superior-inferior segments, and the pneumonitis rates were analyzed. In addition, we incorporated the GTV centroid information into a Lyman-Kutcher-Burman normal tissue complication probability model and tested whether adding spatial information significantly improved the fit of the model.
RESULTS: Of the 547 patients analyzed, 111 (20.3%) experienced severe radiation pneumonitis. The pneumonitis incidence rates were 16%, 23%, and 21% for the superior, middle, and inferior thirds of the lung, respectively. Qualitatively, the GTV centroids of nonsmokers were notably absent from the superior portion of the lung. In addition, the GTV centroids of patients who had Stage III and IV clinical staging were concentrated toward the medial edge of the lung. The comparison between the GTV centroid model and the conventional dose-volume model did not yield a statistically significant difference in model fit.
CONCLUSIONS: Lower pneumonitis rates were noted for the superior portion of the lung; however the differences were not statistically significant. For our patient cohort, incorporating GTV centroid information did not lead to a statistically significant improvement in the fit of the pneumonitis model. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21497454     DOI: 10.1016/j.ijrobp.2011.02.009

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  6 in total

Review 1.  Prediction of radiation pneumonitis in lung cancer patients: a systematic review.

Authors:  Xiao-Jing Zhang; Jian-Guo Sun; Jie Sun; Hua Ming; Xin-Xin Wang; Lei Wu; Zheng-Tang Chen
Journal:  J Cancer Res Clin Oncol       Date:  2012-07-29       Impact factor: 4.553

Review 2.  Nondosimetric risk factors for radiation-induced lung toxicity.

Authors:  Feng-Ming Spring Kong; Shulian Wang
Journal:  Semin Radiat Oncol       Date:  2014-12-15       Impact factor: 5.934

3.  Prediction of radiation pneumonitis with machine learning using 4D-CT based dose-function features.

Authors:  Yoshiyuki Katsuta; Noriyuki Kadoya; Shina Mouri; Shohei Tanaka; Takayuki Kanai; Kazuya Takeda; Takaya Yamamoto; Kengo Ito; Tomohiro Kajikawa; Yujiro Nakajima; Keiichi Jingu
Journal:  J Radiat Res       Date:  2022-01-20       Impact factor: 2.724

4.  Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer.

Authors:  Weijie Lei; Jing Jia; Ruifen Cao; Jing Song; Liqin Hu
Journal:  J Appl Clin Med Phys       Date:  2017-06-28       Impact factor: 2.102

Review 5.  Prevention and treatment of radiotherapy-induced side effects.

Authors:  Lara Barazzuol; Rob P Coppes; Peter van Luijk
Journal:  Mol Oncol       Date:  2020-06-24       Impact factor: 6.603

6.  Dyspnea in Patients Receiving Radical Radiotherapy for Non-Small Cell Lung Cancer: A Prospective Study.

Authors:  Angela Sardaro; Fiona McDonald; Lilia Bardoscia; Konstantin Lavrenkov; Shalini Singh; Sue Ashley; Daphne Traish; Cristina Ferrari; Icro Meattini; Artor Niccoli Asabella; Michael Brada
Journal:  Front Oncol       Date:  2020-12-23       Impact factor: 6.244

  6 in total

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