Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Neurology (clinical),Neurology,Oncology
Link
https://link.springer.com/content/pdf/10.1007/s11060-022-03946-4.pdf
Reference40 articles.
1. Bray F, Ferlay J, Soerjomataram I et al (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68:394–424. https://doi.org/10.3322/caac.21492
2. Molina JR, Yang P, Cassivi SD et al (2008) Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. Mayo Clin Proc 83:584–594. https://doi.org/10.4065/83.5.584
3. Schouten LJ, Rutten J, Huveneers HAM, Twijnstra A (2002) Incidence of brain metastases in a cohort of patients with carcinoma of the breast, colon, kidney, and lung and melanoma. Cancer 94:2698–2705. https://doi.org/10.1002/cncr.10541
4. Chi A, Komaki R (2010) Treatment of brain metastasis from lung cancer. Cancers 2:2100–2137. https://doi.org/10.3390/cancers2042100
5. Shin D-Y, Na II, Kim CH et al (2014) EGFR mutation and brain metastasis in pulmonary adenocarcinomas. J Thorac Oncol 9:195–199. https://doi.org/10.1097/JTO.0000000000000069
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