Prediction of femoral head collapse in osteonecrosis using deep learning segmentation and radiomics texture analysis of MRI
This study presents an automated pipeline for predicting femoral head collapse in ONFH with acceptable performance. Further research is necessary to determine the clinical applicability of this radiomics-based approach and to assess its potential to assist in treatment decision-making for ONFH.
Authors
- Yufeng Wu (ORCID: https://orcid.org/0000-0002-9086-6080)
- Wei He (ORCID: https://orcid.org/0000-0002-2755-9504)
- Shihua Gao (ORCID: https://orcid.org/0000-0003-4143-3067)
- Hao‐Ran Zhu (ORCID: https://orcid.org/0000-0003-0802-9089)
- Ziqi Li (ORCID: https://orcid.org/0000-0002-6345-4347)
- Moshan Wen
- Jiewei Peng
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Sun Yat-sen University (CN)
- Guangzhou University (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- The Third Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1186/s12911-024-02722-w
- Citations
- 8
- Primary Topic
- Bone and Joint Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.82
Funders
- Zhongshan Science and Technology Bureau