A multiomics approach-based prediction of radiation pneumonia in lung cancer patients: impact on survival outcome-Reference-Cited by-同舟云学术

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A multiomics approach-based prediction of radiation pneumonia in lung cancer patients: impact on survival outcome

Published:2023-05-08 Issue:11 Volume:149 Page:8923-8934
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Niu Lishui,Chu Xianjing,Yang Xianghui,Zhao Hongxiang,Chen Liu,Deng Fuxing,Liang Zhan,Jing Di,Zhou Rongrong

Funder

Youth Science Foundation of Xiangya Hospital

National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University

Chen Xiao-Ping Foundation for the Development of Science and Technology of Hubei Province

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-04827-7.pdf

Reference43 articles.

1. Avanzo M, Stancanello J, Pirrone G, Sartor G (2020) Radiomics and deep learning in lung cancer. Strahlenther Onkol 196(10):879–887. https://doi.org/10.1007/s00066-020-01625-9

2. Bezjak A, Rumble RB, Rodrigues G, Hope A, Warde P, Members of the IMRT Indications Expert Panel (2012) Intensity-modulated radiotherapy in the treatment of lung cancer. Clin Oncol (r Coll Radiol) 24(7):508–520. https://doi.org/10.1016/j.clon.2012.05.007

3. Bledsoe TJ, Nath SK, Decker RH (2017) Radiation pneumonitis. Clin Chest Med 38(2):201–208. https://doi.org/10.1016/j.ccm.2016.12.004

4. Boonyawan K, Gomez DR, Komaki R et al (2018) Clinical and dosimetric factors predicting grade ≥2 radiation pneumonitis after postoperative radiotherapy for patients with non-small cell lung carcinoma. Int J Radiat Oncol Biol Phys 101(4):919–926. https://doi.org/10.1016/j.ijrobp.2018.04.012

5. Chun SG, Hu C, Choy H et al (2017) Impact of intensity-modulated radiation therapy technique for locally advanced non-small-cell lung cancer: a secondary analysis of the NRG oncology RTOG 0617 randomized clinical trial. J Clin Oncol 35(1):56–62. https://doi.org/10.1200/JCO.2016.69.1378

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