BACKGROUND: Computed tomography perfusion (CTP) is increasingly being used in the setting of @entity64 ( @entity64 ). The aim of the current study was to compare the prognostic utility of, and inter-observer variation between, baseline appearances on non-contrast CT (using Alberta @entity64 Program Early CT score(ASPECTS)) and on CTP for predicting final @entity1188 volume. We also assessed impact of training on interpretation of these images. METHODS: Retrospectively, plain head computed tomography (CT) and CTP images at presentation and CT or diffusion imaging on follow up of @entity1 with @entity64 were analyzed. The lesion volume on different CTP parameters was then correlated with the final @entity1188 volume. This analysis was done by a Neuroradiologist, a @entity64 Neurologist and a medical student. Kappa statistics and Intra-class correlation coefficients were used for agreement between readers. Pearson correlation coefficients were used. RESULTS: Thirty eight @entity1 with @entity64 met all inclusion criteria. There was very good agreement among all readers for the CTP parameters. There was only fair agreement for ASPECT score. Correlation coefficient (r-square) between CTP parameters and final @entity1188 volume showed that cerebral blood volume was the best parameter to predict the final @entity1188 volume followed by cerebral blood flow and time to peak. The best reader to predict the final @entity1188 volume on the initial CT perfusion study was the neuroradiologist followed by medical student and @entity64 neurologist. CONCLUSIONS: Cerebral blood volume defect correlated the best with the final @entity1188 volume. There was a very good inter-observer agreement for all the CTP maps in predicting the final @entity1188 volume despite the wide variation in the experience of the readers.

CT Perfusion in XXXX Predicts Final Infarct Volume- Inter-observer Study.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity64 :: ('MESH:D020521', 'Disease') :: ['acute ischemic stroke', 'AIS', 'stroke', 'Stroke'] @entity1188 :: ('MESH:D007238', 'Disease') :: ['infarct']
@entity64 :: (MESH:D020521,Disease) :: ['Acute Stroke']
