Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks

Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks

Abstract Objective The infiltration status of pulmonary ground-glass nodules (GGNs) exhibits significant variability, demanding tailored surgical strategies and individualized postoperative adjuvant therapies. This study explored the preoperative assessment of GGN infiltration status using computed...

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Bibliographic Details
Main Authors: Kun Mei, Zikang Feng, Hui Liu, Min Wang, Chao Ce, Shi Yin, Xiaoying Zhang, Bin Wang
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Cancer
Subjects:
Neural network imaging
Pulmonary ground-glass nodule infiltrating status
Surgical method
Online Access:https://doi.org/10.1186/s12885-025-14027-w
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https://doi.org/10.1186/s12885-025-14027-w

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