Literature DB >> 24922010

Combined analysis of V20, VS5, pulmonary fibrosis score on baseline computed tomography, and patient age improves prediction of severe radiation pneumonitis after concurrent chemoradiotherapy for locally advanced non-small-cell lung cancer.

Kayoko Tsujino1, Tomohisa Hashimoto2, Temiko Shimada3, Eisaku Yoden4, Osamu Fujii4, Yosuke Ota4, Miyako Satouchi3, Shunichi Negoro5, Shuji Adachi2, Toshinori Soejima4.   

Abstract

INTRODUCTION: We aimed to develop a more accurate model for predicting severe radiation pneumonitis (RP) after concurrent chemoradiotherapy for non-small-cell lung cancer.
METHODS: We retrospectively analyzed data from 122 patients with locally advanced non-small-cell lung cancer treated with concurrent chemoradiotherapy. Several dose-volume histogram metrics including absolute lung volume spared from a 5 Gy dose (VS5) were analyzed for an association with RP above NCI-CTC grade 3 (RP ≥ G3). Clinical factors including pulmonary fibrosis score (PFS) and pulmonary emphysema score on baseline chest computed tomography (CT) were also analyzed.
RESULTS: Fourteen patients (11.4%) developed RP greater than or equal to G3. On univariate analysis, all dose-volume histogram metrics, sex, and PFS on baseline CT were significantly (p < 0.05) associated with occurrence of RP greater than or equal to G3. Multivariate analysis revealed that V20 greater than or equal to 26%, VS5 less than 1500 cc, age greater than or equal to 68 years, and PFS on baseline CT greater than or equal to 2 were significant risk factors. Thus, we defined a new predictive risk score (PRS) that combines these factors. The cumulative incidence of RP greater than or equal to G3 at 12 months were 0%, 7.8%, 26.6%, and 71.4% when the PRS was 0, 3-5, 6-8, and 9-14, respectively (p < 0.001). This PRS was superior at predicting RP than both V20 and VS5 combined, or V20 alone by receiver operating characteristic analysis (area under the curve, 0.888 versus 0.779 versus 0.678).
CONCLUSIONS: V20, VS5, age, and PFS on baseline CT are independent and significant risk factors for occurrence of severe RP. Combining these factors may improve the predictability of severe RP.

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Mesh:

Year:  2014        PMID: 24922010     DOI: 10.1097/JTO.0000000000000187

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  36 in total

1.  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

Review 2.  Radiation-Induced Lung Injury: Assessment and Management.

Authors:  Alexander N Hanania; Walker Mainwaring; Yohannes T Ghebre; Nicola A Hanania; Michelle Ludwig
Journal:  Chest       Date:  2019-04-15       Impact factor: 9.410

Review 3.  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

4.  VMAT Planning With Xe-CT Functional Images Enables Radiotherapy Planning With Consideration of Lung Function.

Authors:  Nobuko Utsumi; Takeo Takahashi; Shogo Hatanaka; Masatsugu Hariu; Mio Saito; Shuichi Kondo; Rikana Soda; Keiichiro Nishimura; Takafumi Yamano; Wataru Watanabe; Munefumi Shimbo; Norinari Honda
Journal:  Cancer Diagn Progn       Date:  2021-07-03

5.  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

6.  Validation and optimization of a predictive model for radiation pneumonitis in patients with lung cancer.

Authors:  Charlott Mörth; Ioannis Kafantaris; Markus Castegren; Antonios Valachis
Journal:  Oncol Lett       Date:  2016-06-06       Impact factor: 2.967

7.  Radiation pneumonitis in lung cancer treated with volumetric modulated arc therapy.

Authors:  Kan Wu; Xiao Xu; Xiadong Li; Jiahao Wang; Lucheng Zhu; Xueqin Chen; Bing Wang; Minna Zhang; Bing Xia; Shenglin Ma
Journal:  J Thorac Dis       Date:  2018-12       Impact factor: 2.895

8.  Toxicity and dosimetric analysis of non-small cell lung cancer patients undergoing radiotherapy with 4DCT and image-guided intensity modulated radiotherapy: a regional centre's experience.

Authors:  Gareth C Livingston; Andrew J Last; Thomas P Shakespeare; Patrick M Dwyer; Justin Westhuyzen; Michael J McKay; Lisa Connors; Stephanie Leader; Stuart Greenham
Journal:  J Med Radiat Sci       Date:  2016-02-15

9.  Effect of tumor and normal lung volumes on the lung volume-dose parameters of IMRT in non-small-cell lung cancer.

Authors:  Xi Zou; Linzhen Lan; Lijing Zheng; Jinmei Chen; Feibao Guo; Chuanshu Cai; Jinsheng Hong; Weijian Zhang
Journal:  Clinics (Sao Paulo)       Date:  2021-07-05       Impact factor: 2.365

10.  Renal atrophy after stereotactic body radiotherapy for renal cell carcinoma.

Authors:  Takaya Yamamoto; Noriyuki Kadoya; Ken Takeda; Haruo Matsushita; Rei Umezawa; Kiyokazu Sato; Masaki Kubozono; Kengo Ito; Yojiro Ishikawa; Maiko Kozumi; Noriyoshi Takahashi; Yu Katagiri; Hiroshi Onishi; Keiichi Jingu
Journal:  Radiat Oncol       Date:  2016-05-26       Impact factor: 3.481

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