Development of a combined radiomics and CT feature-based model for differentiating malignant from benign subcentimeter solid pulmonary nodules

Development of a combined radiomics and CT feature-based model for differentiating malignant from benign subcentimeter solid pulmonary nodules

Abstract Background We aimed to develop a combined model based on radiomics and computed tomography (CT) imaging features for use in differential diagnosis of benign and malignant subcentimeter (≤ 10 mm) solid pulmonary nodules (SSPNs). Methods A total of 324 patients with SSPNs were analyzed retros...

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Bibliographic Details
Main Authors: Jianing Liu, Linlin Qi, Yawen Wang, Fenglan Li, Jiaqi Chen, Shulei Cui, Sainan Cheng, Zhen Zhou, Lin Li, Jianwei Wang
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:European Radiology Experimental
Subjects:
Diagnosis (differential)
Machine learning
Nomograms
Solitary pulmonary nodule
Tomography (x-ray computed)
Online Access:https://doi.org/10.1186/s41747-023-00400-6

Internet

https://doi.org/10.1186/s41747-023-00400-6

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