Prediction model for growth trends of subpleural subsolid nodules using CT radiomics and radiological features

Prediction model for growth trends of subpleural subsolid nodules using CT radiomics and radiological features

Abstract Subpleural subsolid nodules (SSNs) pose challenges in early malignant transformation risk stratification, leading to over-surveillance or delayed treatment. To develop a radiological-radiomics combined model for predicting growth of subpleural SSNs and optimizing individualized follow-up st...

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Bibliographic Details
Main Authors: Chengxiu Yuan, Hui Li, Jinliang Zhang, Congcong Gao, Zhe Wang, Minghui Sun, Yan Jiang, Hankang Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Subsolid nodules
Subpleural nodules
Radiomics
Radiological
Growth prediction
Online Access:https://doi.org/10.1038/s41598-025-08860-z
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https://doi.org/10.1038/s41598-025-08860-z

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