Cerebellar tonsil ectopia measurement in type I Chiari malformation patients show poor inter-operator reliability.
Braden J LawrenceAintzane UrbizuPhilip A AllenFrancis LothR Shane TubbsAlexander C BunckJan-Robert KrögerBrandon G RocqueCasey MaduraJason A ChenMark G LucianoRichard G EllenbogenJohn N OshinskiBermans J IskandarBryn A MartinPublished in: Fluids and barriers of the CNS (2018)
The results demonstrated a large average range (7.7 mm) of measurements among the seven expert operators and support that, if economically feasible, two radiologists should make independent measurements before radiologic diagnosis of CM-I and surgery is contemplated. In the future, an objective diagnostic parameter for CM-I that utilizes automated algorithms and results in smaller inter-operator variation may improve patient selection.
Keyphrases
- machine learning
- end stage renal disease
- ejection fraction
- deep learning
- newly diagnosed
- chronic kidney disease
- minimally invasive
- artificial intelligence
- prognostic factors
- case report
- high throughput
- coronary artery bypass
- patient reported outcomes
- coronary artery disease
- current status
- percutaneous coronary intervention