A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma-Reference-Cited by-同舟云学术

A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma

Published:2021-02-05 Issue:8 Volume:31 Page:6259-6268
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Chang Cheng,Zhou Shihong,Yu Hong,Zhao Wenlu,Ge Yaqiong,Duan Shaofeng,Wang Rui,Qian Xiaohua,Lei Bei,Wang Lihua,Liu Liu,Ruan Maomei,Yan Hui,Sun Xiaoyan,Xie Wenhui

Funder

Natural Science Foundation of Shanghai

Special project of integrated traditional Chinese and Western medicine in general hospital of Shanghai Health Committee

Shanghai Sailing Program

National Natural Science Foundation of China

Shanghai Municipal Population and Family Planning Commission

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-020-07676-x.pdf

Reference31 articles.

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2. Jia Y, Yun CH, Park E et al (2016) Overcoming EGFR T790M and C797S resistance with mutant-selective allosteric inhibitors. Nature 534:129–132

3. Gainor JF, Varghese AM, Ou SH et al (2013) ALK rearrangements are mutually exclusive with mutations in EGFR or KRAS: an analysis of 1,683 patients with non–small cell lung cancer. Clin Cancer Res 19:4273–4281

4. Steuer CE, Ramalingam SS (2015) Targeting EGFR in lung cancer: lessons learned and future perspectives. Mol Aspects Med 45:67–73

5. Tricker EM, Xu C, Uddin S et al (2015) Combined EGFR/MEK inhibition prevents the emergence of resistance in EGFR-mutant lung cancer. Cancer Discov 5:960–971

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