Comparison of the radiomics-based predictive models using machine learning and nomogram for epidermal growth factor receptor mutation status and subtypes in lung adenocarcinoma-Reference-Cited by-同舟云学术

Comparison of the radiomics-based predictive models using machine learning and nomogram for epidermal growth factor receptor mutation status and subtypes in lung adenocarcinoma

Published:2023-02-14 Issue:1 Volume:46 Page:395-403
ISSN:2662-4729
Container-title:Physical and Engineering Sciences in Medicine
language:en
Short-container-title:Phys Eng Sci Med

Author:

Kawazoe Yusuke,Shiinoki Takehiro^ORCID,Fujimoto Koya,Yuasa Yuki,Hirano Tsunahiko,Matsunaga Kazuto,Tanaka Hidekazu

Funder

Japan Society for the Promotion of Science

Takeda Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s13246-023-01232-9.pdf

Reference31 articles.

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2. Rizzo S, Petrella F, Buscarino V, De Maria F, Raimondi S, Barberis M et al (2016) CT radiogenomic characterization of EGFR, K-RAS, and ALK mutations in non-small cell lung cancer. Eur Radiol 26:32–42. https://doi.org/10.1007/s00330-015-3814-0

3. Mitsudomi T, Yatabe Y (2007) Mutations of the epidermal growth factor receptor gene and related genes as determinants of epidermal growth factor receptor tyrosine kinase inhibitors sensitivity in lung cancer. Cancer Sci 98:1817–1824. https://doi.org/10.1111/j.1349-7006.2007.00607.x

4. Jänne PA, Engelman JA, Johnson BE (2005) Epidermal growth factor receptor mutations in non-small-cell lung cancer: implications for treatment and tumor biology. J Clin Oncol 23:3227–3234. https://doi.org/10.1200/JCO.2005.09.985

5. Maemondo M, Inoue A, Kobayashi K, Sugawara S, Oizumi S, Isobe H et al (2010) Gefitinib or chemotherapy for non–small-cell lung cancer with mutated EGFR. N Engl J Med 362:2380–2388. https://doi.org/10.1056/nejmoa0909530

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