Development of a Nomogram Based on 3D CT Radiomics Signature to Predict the Mutation Status of EGFR Molecular Subtypes in Lung Adenocarcinoma: A Multicenter Study.

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作者： Guojin,Zhang ^[1] ; Liangna,Deng ^[2] ; Jing,Zhang ^[3] ; Yuntai,Cao ^[4] ; Shenglin,Li ^[5] ; Jialiang,Ren ^[3] ; Rong,Qian ^[6] ; Shengkun,Peng ^[1] ; Xiaodi,Zhang ^[2] ; Junlin,Zhou ^[1] ; Zhuoli,Zhang ^[2] ; Weifang,Kong ^[7] ; Hong,Pu ^[3]

作者单位： Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. ^[1] Department of Radiology, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China. ^[2] Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China. ^[3] Department of Radiology, Fifth Affiliated Hospital of Zunyi Medical University, Zhuhai, China. ^[4] Department of Radiology, Affiliated Hospital of Qinghai University, Xining, China. ^[5] Department of Pharmaceuticals Diagnosis, GE Healthcare, Beijing, China. ^[6] Clinical Science Department, Philips (China) Investment Co., Ltd., Chengdu, China. ^[7] Department of Radiology and BME, University of California Irvine, Irvine, CA, United States. ^[8]

关键词 EGFR NSCLC computed tomography lung adenocarcinoma radiomics

DOI 10.3389/fonc.2022.889293

PMID 35574401

发布时间 2022-05-19

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Frontiers in oncology

2022年12卷

889293页

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Development of a Nomogram Based on 3D CT Radiomics Signature to Predict the Mutation Status of EGFR Molecular Subtypes in Lung Adenocarcinoma: A Multicenter Study.

Frontiers in oncology

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Frontiers in oncology

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Development of a Nomogram Based on 3D CT Radiomics Signature to Predict the Mutation Status of EGFR Molecular Subtypes in Lung Adenocarcinoma: A Multicenter Study.

Frontiers in oncology

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Frontiers in oncology

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