Evaluation of Early Reperfusion Criteria in Acute Ischemic Stroke

TY - JOUR

T1 - Evaluation of Early Reperfusion Criteria in Acute Ischemic Stroke

AU - Ozenne, Brice

AU - Cho, Tae-Hee

AU - Mikkelsen, Irene Klaerke

AU - Hermier, Marc

AU - Ribe, Lars

AU - Thomalla, Götz

AU - Pedraza, Salvador

AU - Baron, Jean-Claude

AU - Roy, Pascal

AU - Berthezène, Yves

AU - Nighoghossian, Norbert

AU - Østergaard, Leif

AU - Maucort-Boulch, Delphine

N1 - Copyright © 2015 by the American Society of Neuroimaging.

PY - 2015/11

Y1 - 2015/11

N2 - BACKGROUND AND PURPOSE: Though still debated, early reperfusion is increasingly used as a biomarker for clinical outcome. However, the lack of a standard definition hinders the assessment of reperfusion therapies and study comparisons. The objective was to determine the optimal early reperfusion criteria that predicts clinical outcome in ischemic stroke.METHODS: Early reperfusion was assessed voxel-wise in 57 patients within 6 hours of symptom onset. The performance of the time to peak (TTP), the mean transit time (MTT), and the time to maximum of residue function (Tmax ) at various delays thresholds in predicting the neurological response (based on the National Institutes of Health Stroke Scale) and the functional outcome (modified Rankin scale ≤1) at 1 month were compared. A receiver operating characteristics (ROC) analysis determined the optimal extent of reperfusion. A novel unsupervised classification of reperfusion using group-based trajectory modeling (GBTM) was evaluated.RESULTS: MTT had a lower performance than TTP and Tmax in predicting the neurological response (P = .008 vs. TTP and P = .006 vs. Tmax ) or the functional outcome (P = .0006 vs. TTP; P = .002 vs. Tmax ). No delay threshold had a significantly higher predictive value than another. The optimal percentage of reperfusion was dependent on the outcome scale (P < .001). The GBTM-based classification of reperfusion was closely associated with the clinical outcome and had a similar accuracy compared to ROC-based classification.CONCLUSIONS: TTP and Tmax should be preferred to MTT in defining early reperfusion. GBTM provided a clinically relevant reperfusion classification that does not require prespecified delay thresholds or clinical outcomes.

AB - BACKGROUND AND PURPOSE: Though still debated, early reperfusion is increasingly used as a biomarker for clinical outcome. However, the lack of a standard definition hinders the assessment of reperfusion therapies and study comparisons. The objective was to determine the optimal early reperfusion criteria that predicts clinical outcome in ischemic stroke.METHODS: Early reperfusion was assessed voxel-wise in 57 patients within 6 hours of symptom onset. The performance of the time to peak (TTP), the mean transit time (MTT), and the time to maximum of residue function (Tmax ) at various delays thresholds in predicting the neurological response (based on the National Institutes of Health Stroke Scale) and the functional outcome (modified Rankin scale ≤1) at 1 month were compared. A receiver operating characteristics (ROC) analysis determined the optimal extent of reperfusion. A novel unsupervised classification of reperfusion using group-based trajectory modeling (GBTM) was evaluated.RESULTS: MTT had a lower performance than TTP and Tmax in predicting the neurological response (P = .008 vs. TTP and P = .006 vs. Tmax ) or the functional outcome (P = .0006 vs. TTP; P = .002 vs. Tmax ). No delay threshold had a significantly higher predictive value than another. The optimal percentage of reperfusion was dependent on the outcome scale (P < .001). The GBTM-based classification of reperfusion was closely associated with the clinical outcome and had a similar accuracy compared to ROC-based classification.CONCLUSIONS: TTP and Tmax should be preferred to MTT in defining early reperfusion. GBTM provided a clinically relevant reperfusion classification that does not require prespecified delay thresholds or clinical outcomes.

U2 - 10.1111/jon.12255

DO - 10.1111/jon.12255

M3 - SCORING: Journal article

C2 - 25940773

VL - 25

SP - 952

EP - 958

JO - J NEUROIMAGING

JF - J NEUROIMAGING

SN - 1051-2284

IS - 6

ER -