Whole-lung computed tomography radiomics combined with clinical features for differentiating multidrug-resistant tuberculosis from drug-sensitive tuberculosis: a retrospective multi-center study
Integrating whole-lung CT radiomics with clinical features significantly enhances the diagnostic accuracy of MDR-TB. The combined model outperforms individual models, underscoring the potential of radiomic-clinical data integration. This approach could expand MDR-TB screening coverage without additional economic burden, thereby facilitating prevention and control.
Authors
- Shulin Song
- Yibo Lu
- Di Wu (ORCID: https://orcid.org/0009-0009-0405-8350)
- Guanqiao Jin (ORCID: https://orcid.org/0000-0003-2142-9001)
- Donghui Gan
- Song Chen (ORCID: https://orcid.org/0000-0001-6412-5740)
- Qiao Zhu
- C. Chen
Institutions
- Guangxi Medical University (CN)
- The Fourth People's Hospital (CN)
- Beibu Gulf University (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/jtd-2025-1405
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00