Lung CT‐based multi‐lesion radiomic model to differentiate between nontuberculous mycobacteria and Mycobacterium tuberculosis
This is the first radiomic study to use multiple lesion types to distinguish NTM-LD and MTB-LD. The developed MLR model performed well in differentiating the two diseases, and the lesion types with high importance exhibited the potential to assist experienced radiologists in clinical decision-making.
Authors
- Liang Wan (ORCID: https://orcid.org/0000-0001-5501-9575)
- Lingshan Zhong (ORCID: https://orcid.org/0000-0001-6716-6062)
- Zhiheng Xing (ORCID: https://orcid.org/0000-0003-2695-9183)
- Yanlin Hu
- Wenlong Ding (ORCID: https://orcid.org/0000-0003-0271-9425)
- Li Wang (ORCID: https://orcid.org/0000-0001-7692-5067)
- Hongying Liu (ORCID: https://orcid.org/0000-0002-8475-2749)
Institutions
- Tianjin University (CN)
- Tianjin haihe hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1002/mp.17537
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Natural Science Foundation of Tianjin City