Development and validation of a CT-radiomics model for the diagnosis of lung cancer associated with cystic airspaces: a multicenter study

We have developed and validated a hybrid model that can offer valuable assistance in preoperatively distinguishing between LCCA and benign cystic lesions, thereby facilitating clinical decision-making.

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Publication Details

Journal
BMC Cancer
Published
2025-12-09
DOI
https://doi.org/10.1186/s12885-025-15434-9
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a CT-radiomics model for the diagnosis of lung cancer associated with cystic airspaces: a multicenter study

Yuanyong Wang, Hengyan Li, Jiangshan Ai, Man Wang et al.
BMC Cancer
Radiomics and Machine Learning in Medical Imaging
article

Development and validation of a CT-radiomics model for the diagnosis of lung cancer associated with cystic airspaces: a multicenter study

Yuanyong Wang, Hengyan Li, Jiangshan Ai, Man Wang, Shiwen Ai, Lianzheng Zhao
article en

Abstract

We have developed and validated a hybrid model that can offer valuable assistance in preoperatively distinguishing between LCCA and benign cystic lesions, thereby facilitating clinical decision-making.

BMC CancerVol. 26(1)
Qingdao University (CN), Shanghai Jiao Tong University (CN), Peking University (CN), Peking University Cancer Hospital (CN), Affiliated Hospital of Qingdao University (CN), Shanghai First People's Hospital (CN), Affiliated Hospital of Jining Medical University (CN)
Openalex Percentile: Top 46%
Radiomics and Machine Learning in Medical Imaging
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Development and validation of a CT-radiomics model for the diagnosis of lung cancer associated with cystic airspaces: a multicenter study — Yuanyong Wang, Hengyan Li, et al. · BMC Cancer (2025) | TGRS Research Map | TGRS