Differentiation of early-stage tumors from benign lesions manifesting as pure ground-glass nodule: a clinical prediction study based on AI-derived quantitative parameters

Differentiation of early-stage tumors from benign lesions manifesting as pure ground-glass nodule: a clinical prediction study based on AI-derived quantitative parameters

ObjectivesDifferentiating between benign and malignant pure ground-glass nodule (pGGN) is of great clinical significance. The aim of our study was to evaluate whether AI-derived quantitative parameters could predict benignity versus early-stage tumors manifesting as pGGN.MethodsA total of 1,538 pati...

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Bibliographic Details
Main Authors: Shuxiang Chen, Huijuan Zhang, Yifan Chen, Shuo Chen, Wenfu Cao, Yongxiu Tong
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Oncology
Subjects:
lung
pure ground-glass nodule
identification
nomogram
CT
AI
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1573735/full
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