Deep learning analysis to predict EGFR mutation status in lung adenocarcinoma manifesting as pure ground-glass opacity nodules on CT

Deep learning analysis to predict EGFR mutation status in lung adenocarcinoma manifesting as pure ground-glass opacity nodules on CT

BackgroundEpidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) showed potency as a non-invasive therapeutic approach in pure ground-glass opacity nodule (pGGN) lung adenocarcinoma. However, optimal methods of extracting information about EGFR mutation from pGGN lung adenocarcinoma...

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Bibliographic Details
Main Authors: Hyun Jung Yoon, Jieun Choi, Eunjin Kim, Sang-Won Um, Noeul Kang, Wook Kim, Geena Kim, Hyunjin Park, Ho Yun Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
lung adenocarcinoma
ground-glass opacity nodule
computed tomography
deep learning
epidermal growth factor receptor
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.951575/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.951575/full

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