A computed tomography-based lung radiomics nomogram to identify acute exacerbation of chronic obstructive pulmonary disease: a multi-institutional validation study
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
Authors
- Xiuxiu Zhou (ORCID: https://orcid.org/0000-0003-2405-0566)
- Shiyuan Liu (ORCID: https://orcid.org/0000-0002-2146-1936)
- Taohu Zhou (ORCID: https://orcid.org/0000-0001-6208-2249)
- Yi Wang (ORCID: https://orcid.org/0000-0002-4389-3422)
- Yueze Li (ORCID: https://orcid.org/0009-0007-9247-9504)
- Jie Li
- Yanqing Ma (ORCID: https://orcid.org/0000-0001-9196-4988)
- Yu Guan (ORCID: https://orcid.org/0000-0001-9416-058X)
- Fan Li (ORCID: https://orcid.org/0000-0002-1128-7559)
- Hanxiao Zhang (ORCID: https://orcid.org/0000-0002-8800-8693)
- Xiulan Xie
Institutions
- University of Shanghai for Science and Technology (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/jtd-2025-972
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00