Prediction of Venous Trans-Stenotic Pressure Gradient Using Shape Features Derived From Magnetic Resonance Venography in Idiopathic Intracranial Hypertension Patients.
Chao MaHaoyu ZhuShikai LiangYuzhou ChangDapeng MoChuhan JiangYupeng ZhangPublished in: Korean journal of radiology (2024)
Our study presents the feasibility of a novel model for predicting high TPG in IIH patients using radiomics analysis of noninvasive MRV-based shape features. This information may aid clinicians in identifying patients who may benefit from stenting.
Keyphrases
- end stage renal disease
- magnetic resonance
- ejection fraction
- newly diagnosed
- chronic kidney disease
- blood pressure
- peritoneal dialysis
- prognostic factors
- palliative care
- healthcare
- squamous cell carcinoma
- coronary artery disease
- antiplatelet therapy
- patient reported outcomes
- percutaneous coronary intervention
- contrast enhanced
- social media
- patient reported