Noninvasive prediction of T-score in IgA nephropathy using machine learning within the Oxford classification system
The classification diagnostic model based on CT radiomics and clinical features combined with machine learning can accurately predict the Oxford classification T-score in patients with IgAN.
Authors
- Jinjin Hai
- Genyang Cheng
- Q. Li
- Jingyu Dou
- Lijie Zhang
- Shuhua Jin
- Lu Wen
- Xiaoyue Ma
- Bin Yan
Institutions
- PLA Information Engineering University (CN)
- Henan University of Engineering (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2026-01-09
- DOI
- https://doi.org/10.3389/fendo.2025.1686670
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Henan Province