Dual-energy CT-based radiomics in predicting EGFR mutation status non-invasively in lung adenocarcinoma

Dual-energy CT-based radiomics in predicting EGFR mutation status non-invasively in lung adenocarcinoma

Objectives: Patients with epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma (LUAD) can benefit from individualized targeted therapy. This study aims to develop, compare, analyse prediction models based on dual-energy spectral computed tomography (DESCT) and CT-based radiomic f...

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Bibliographic Details
Main Authors: Jing-Wen Ma, Xu Jiang, Yan-Mei Wang, Jiu-Ming Jiang, Lei Miao, Lin-Lin Qi, Jia-Xing Zhang, Xin Wen, Jian-Wei Li, Meng Li, Li Zhang
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
CT-based radiomics
Dual-energy spectral CT
EGFR mutation
Lung adenocarcinoma
Nomogram
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024004031

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http://www.sciencedirect.com/science/article/pii/S2405844024004031

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