Prognostic Effect of Trigeminal Neuralgia Treated With Percutaneous Balloon Compression by Machine Learning-based Modeling of Radiomic Morphological Features.
Screening clinical information by machine learning, combined with a clinical imaging histology nomogram, has good potential for predicting the prognosis of a patient's TN treated with percutaneous balloon compression, and is suitable for clinical application in patients with TN after percutaneous balloon compression.
Authors
- Jingyi Yang (ORCID: https://orcid.org/0009-0009-6304-0433)
- Dongyuan Xu (ORCID: https://orcid.org/0000-0002-9563-9864)
- Keyu Chen (ORCID: https://orcid.org/0009-0006-0935-5109)
- Nanxiang Xiong
- Yuankun Cai (ORCID: https://orcid.org/0000-0001-9735-200X)
- Lei Shen (ORCID: https://orcid.org/0000-0001-7145-0154)
- Hao Mei (ORCID: https://orcid.org/0000-0003-0242-7035)
- Ji Wu (ORCID: https://orcid.org/0000-0001-5330-4778)
- Songshan Chai
Institutions
- Wuhan University (CN)
- Zhongnan Hospital of Wuhan University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2024-12-01
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00