Inter- and intraobserver reliability for angiographic leptomeningeal collateral flow assessment by the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) scale.

Wagih Ben HassenClaire MalleyGrégoire BoulouisFrédéric ClarençonBruno BartoliniRomain BourcierChristine Rodriguez RégentNicolas BricoutMarc Antoine LabeyrieJean Christophe GentricAymeric RouchaudSébastien SoizeSuzana SalemeHélène RaoultSophie GallasFrançois EugèneRené AnxionnatDenis HerbreteauSerge BracardOlivier Naggara

Published in: Journal of neurointerventional surgery (2018)

Inter- and intraobserver agreement of collateral circulation grading using the ASITN/SIR score was poor, raising concerns about comparisons among publications. A simplified dichotomized judgment may be a more reproducible assessment when images are rated by the same observer(s) in randomized trials.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
cerebrospinal fluid