Assessment of three MR perfusion software packages in predicting final infarct volume after mechanical thrombectomy.

Alexandre Bani SadrTae-Hee ChoMatteo CappucciMarc HermierRoxana AmeliAndrea FilipRoberto RivaLaurent DerexCharles De BourguignonLaura MechtouffOmer F EkerNorbert NighoghossianYves Berthezene

Published in: Journal of neurointerventional surgery (2022)

Automated MRI perfusion software packages estimate FIV with high variability in measurement despite using the same dataset. This highlights the need for routine expert evaluation and correction of automated package output data for appropriate patient management.

Keyphrases

contrast enhanced
magnetic resonance imaging
deep learning
machine learning
magnetic resonance
high throughput
clinical practice
data analysis
computed tomography
diffusion weighted imaging
case report
electronic health record
big data
artificial intelligence
heart failure
atrial fibrillation