Machine learning to predict radiomics models of classical trigeminal neuralgia response to percutaneous balloon compression treatment
The combination of machine learning and clinical imaging and clinical information has the good potential of predicting PBC in CTN treatment. The efficacy of CTN is suitable for clinical applications of CTN patients after PBC.
Authors
- Jingyi Yang (ORCID: https://orcid.org/0009-0009-6304-0433)
- Dongyuan Xu (ORCID: https://orcid.org/0000-0002-9563-9864)
- Chengjian Qin
- Keyu Chen (ORCID: https://orcid.org/0009-0006-0935-5109)
- Yixuan Zhou
- Nanxiang Xiong
- Yuankun Cai (ORCID: https://orcid.org/0000-0001-9735-200X)
- Lei Shen (ORCID: https://orcid.org/0000-0001-7145-0154)
- Ji Wu (ORCID: https://orcid.org/0000-0001-5330-4778)
- Songshan Chai
- Xuanlei Wei
- Deling Qin
Institutions
- Wuhan University (CN)
- Zhongnan Hospital of Wuhan University (CN)
- Affiliated Hospital of Youjiang Medical University for Nationalities (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-11-27
- DOI
- https://doi.org/10.3389/fneur.2024.1443124
- Primary Topic
- Trigeminal Neuralgia and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00