An early lung cancer diagnosis model for non-smokers incorporating ct imaging analysis and circulating genetically abnormal cells (CACs)

An early lung cancer diagnosis model for non-smokers incorporating ct imaging analysis and circulating genetically abnormal cells (CACs)

Abstract Background An increase in the prevalence of lung cancer that is not smoking-related has been noticed in recent years. Unfortunately, these patients are not included in low dose computer tomography (LDCT) screening programs and are not actually considered in early diagnosis. Therefore, impro...

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Bibliographic Details
Main Authors: Ran Ni, Yongjie Huang, Lei Wang, Hongjie Chen, Guorui Zhang, Yali Yu, Yinglan Kuang, Yuyan Tang, Xing Lu, Hong Liu
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
Subjects:
LC
Non-smoker
Artificial intelligence
Liquid biopsy
Prediction model
Early diagnosis
Online Access:https://doi.org/10.1186/s12885-024-13268-5
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https://doi.org/10.1186/s12885-024-13268-5

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