Abstract
BACKGROUND AND PURPOSE: Computed tomography perfusion provides information on tissue viability according to proposed thresholds. We evaluated thresholds for ischemic core and tissue at risk and subsequently tested their accuracy in independent datasets.
MATERIALS AND METHODS: Tissue at risk was evaluated in patients with persistent arterial occlusions, and ischemic core thresholds in patients with recanalization and major clinical improvement. Scans were randomly allocated to derivation or validation groups for tissue at risk and core analysis. Optimum thresholds using mean transit time (MTT), cerebral blood flow (CBF), cerebral blood volume, and delay time (DT) were assessed.
RESULTS: Absolute MTT, relative MTT and DT were best derived predictors of tissue at risk with thresholds of ≥ 7 seconds, ≥ 125%, and ≥ 2 seconds respectively. DT ≥ 2 seconds was the best predictor in the validation dataset (95% agreement levels = -44 to +30 mL, Bias = -6.9). Absolute and relative MTT were the best derived predictors of infarct volume in the core group (8 seconds and 125% respectively) but relative CBF of ≤ 45% performed best in the core validation dataset.
CONCLUSIONS: Time-based perfusion thresholds perform well as predictors of tissue at risk of infarction with DT the best predictor. Relative CBF was the best predictor of ischemic core. Evaluation in larger populations is needed to confirm the performance of tissue viability thresholds.
Original language | English |
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Pages (from-to) | 562-568 |
Number of pages | 7 |
Journal | Journal of neuroimaging : official journal of the American Society of Neuroimaging |
Volume | 24 |
Issue number | 6 |
Early online date | 4 Jul 2014 |
DOIs | |
Publication status | Published - 22 Jul 2014 |
Bibliographical note
Copyright © 2014 by the American Society of Neuroimaging.Accepted for publication March 31, 2014
Funded by
Translational Medicine Research Collaboration
Keywords
- stroke
- computed tomography
- imaging
- perfusion
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Mary MacLeod
- School of Medicine, Medical Sciences & Nutrition, Cardiometabolic Disease
- School of Medicine, Medical Sciences & Nutrition, Aberdeen Cardiovascular and Diabetes Centre
- School of Medicine, Medical Sciences & Nutrition, Applied Medicine - Senior Clinical Lecturer
- School of Medicine, Medical Sciences & Nutrition, Institute of Medical Sciences
Person: Clinical Academic