Radiogenomic System for Non-Invasive Identification of Multiple Actionable Mutations and PD-L1 Expression in Non-Small Cell Lung Cancer Based on CT Images

Radiogenomic System for Non-Invasive Identification of Multiple Actionable Mutations and PD-L1 Expression in Non-Small Cell Lung Cancer Based on CT Images

Purpose: Personalized treatments such as targeted therapy and immunotherapy have revolutionized the predominantly therapeutic paradigm for non-small cell lung cancer (NSCLC). However, these treatment decisions require the determination of targetable genomic and molecular alterations through invasive...

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Bibliographic Details
Main Authors: Jun Shao, Jiechao Ma, Shu Zhang, Jingwei Li, Hesen Dai, Shufan Liang, Yizhou Yu, Weimin Li, Chengdi Wang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Cancers
Subjects:
actionable mutations
non-small cell lung cancer
deep learning
radiomics
molecular status
Online Access:https://www.mdpi.com/2072-6694/14/19/4823

Internet

https://www.mdpi.com/2072-6694/14/19/4823

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