Development of a radiomics-based model using computed tomography imaging to assess the incidence of extrapulmonary organ involvement in Mycoplasma pneumoniae pneumonia and to predict recovery times: a multicenter study
This study demonstrated that incorporating radiomics significantly improved the predictive accuracy of clinical laboratory parameters and imaging features for assessing extrapulmonary organ involvement and forecasting recovery durations in MPP patients. This approach provided an effective tool to enhance diagnostic efficiency for clinicians.
Authors
- Huan Xin Meng (ORCID: https://orcid.org/0000-0002-7577-6626)
- Jiawei Hao (ORCID: https://orcid.org/0000-0001-7524-4024)
- Shan Gao (ORCID: https://orcid.org/0000-0003-1066-0531)
- Liyong Zhuo
- Zijun Song
- Xiaoping Yin
Institutions
- Ministry of Science and Technology (VN)
- Affiliated Hospital of Hebei University (CN)
- Baoding People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-01-15
- DOI
- https://doi.org/10.3389/fmed.2025.1732165
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00