Health AI Central
Peer-Reviewed Publication
J Imaging Inform Med2026September 25, 2026Journal Article

Combined Model Integrating Clinical-Imaging and Deep Learning to Discriminate Between Persistent Inflammatory and Malignant Subsolid Pulmonary Nodules.

Pei-Ling Zou1,2, Chong Fu3, Yi-Bo Feng4, Qian-Rui Fan4, Da-Wei Wang4, Tian-You Luo1, Xing-Tao Huang5, Qi Li6,7
1Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
2Department of Radiology, Shapingba Hospital Affiliated to Chongqing University (Shapingba District People's Hospital of Chongqing), Chongqing, China.
3Department of Health Management Center, Chongqing University Affiliated Renji Hospital, The Fifth People's Hospital of Chongqing), Chongqing, China.
4Institute of Research, Infervision Medical Technology Co, Ltd, 25 F Building E, Yuanyang International Center, Chaoyang District, Beijing, China.
5Department of Nuclear Medicine, Chongqing University Affiliated Renji Hospital (The Fifth People's Hospital of Chongqing), Chongqing, China.
6Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China. 202770@hospital.cqmu.edu.cn.
7Department of Radiology, Changdu People's Hospital of Xizang, Xizang, China. 202770@hospital.cqmu.edu.cn.
PubMed DOI

Abstract

This study aimed to develop a combined model integrating clinical, computed tomography (CT), and deep learning (DL) features to discriminate malignant subsolid nodules (M-SSNs) from persistent inflammatory subsolid nodules (PI-SSNs). A total of 573 patients with subsolid nodules (SSNs) who underwent preoperative chest CT and surgical resection at Center 1 were assigned to training and internal val…

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