A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer

A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer

Abstract Background To establish a predictive model based on multisequence magnetic resonance imaging (MRI) using deep learning to identify wild-type (WT) epidermal growth factor receptor (EGFR), EGFR exon 19 deletion (19Del), and EGFR exon 21-point mutation (21L858R) simultaneously. Methods A total...

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Bibliographic Details
Main Authors: Ye Li, Xinna Lv, Cancan Chen, Ruize Yu, Bing Wang, Dawei Wang, Dailun Hou
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:European Radiology Experimental
Subjects:
Brain neoplasms
Carcinoma (non-small-cell lung)
Deep learning
ErbB receptors
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s41747-023-00396-z

Internet

https://doi.org/10.1186/s41747-023-00396-z

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