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Research ArticleBrain
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Combining MRI with NIHSS Thresholds to Predict Outcome in Acute Ischemic Stroke: Value for Patient Selection

P.W. Schaefer, B. Pulli, W.A. Copen, J.A. Hirsch, T. Leslie-Mazwi, L.H. Schwamm, O. Wu, R.G. González and A.J. Yoo
American Journal of Neuroradiology February 2015, 36 (2) 259-264; DOI: https://doi.org/10.3174/ajnr.A4103
P.W. Schaefer
aFrom the Departments of Radiology (P.W.S., B.P., W.A.C., J.A.H., T.L.-M., O.W., R.G.G., A.J.Y.)
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B. Pulli
aFrom the Departments of Radiology (P.W.S., B.P., W.A.C., J.A.H., T.L.-M., O.W., R.G.G., A.J.Y.)
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W.A. Copen
aFrom the Departments of Radiology (P.W.S., B.P., W.A.C., J.A.H., T.L.-M., O.W., R.G.G., A.J.Y.)
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J.A. Hirsch
aFrom the Departments of Radiology (P.W.S., B.P., W.A.C., J.A.H., T.L.-M., O.W., R.G.G., A.J.Y.)
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T. Leslie-Mazwi
aFrom the Departments of Radiology (P.W.S., B.P., W.A.C., J.A.H., T.L.-M., O.W., R.G.G., A.J.Y.)
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L.H. Schwamm
bNeurology (L.H.S.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
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O. Wu
aFrom the Departments of Radiology (P.W.S., B.P., W.A.C., J.A.H., T.L.-M., O.W., R.G.G., A.J.Y.)
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R.G. González
aFrom the Departments of Radiology (P.W.S., B.P., W.A.C., J.A.H., T.L.-M., O.W., R.G.G., A.J.Y.)
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A.J. Yoo
aFrom the Departments of Radiology (P.W.S., B.P., W.A.C., J.A.H., T.L.-M., O.W., R.G.G., A.J.Y.)
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Abstract

BACKGROUND AND PURPOSE: Selecting acute ischemic stroke patients for reperfusion therapy on the basis of a diffusion-perfusion mismatch has not been uniformly proved to predict a beneficial treatment response. In a prior study, we have shown that combining clinical with MR imaging thresholds can predict clinical outcome with high positive predictive value. In this study, we sought to validate this predictive model in a larger patient cohort and evaluate the effects of reperfusion therapy and stroke side.

MATERIALS AND METHODS: One hundred twenty-three consecutive patients with anterior circulation acute ischemic stroke underwent MR imaging within 6 hours of stroke onset. DWI and PWI volumes were measured. Lesion volume and NIHSS score thresholds were used in models predicting good 3-month clinical outcome (mRS 0–2). Patients were stratified by treatment and stroke side.

RESULTS: Receiver operating characteristic analysis demonstrated 95.6% and 100% specificity for DWI > 70 mL and NIHSS score > 20 to predict poor outcome, and 92.7% and 91.3% specificity for PWI (mean transit time) < 50 mL and NIHSS score < 8 to predict good outcome. Combining clinical and imaging thresholds led to an 88.8% (71/80) positive predictive value with a 65.0% (80/123) prognostic yield. One hundred percent specific thresholds for DWI (103 versus 31 mL) and NIHSS score (20 versus 17) to predict poor outcome were significantly higher in treated (intravenous and/or intra-arterial) versus untreated patients. Prognostic yield was lower in right- versus left-sided strokes for all thresholds (10.4%–20.7% versus 16.9%–40.0%). Patients with right-sided strokes had higher 100% specific DWI (103.1 versus 74.8 mL) thresholds for poor outcome, and the positive predictive value was lower.

CONCLUSIONS: Our predictive model is validated in a much larger patient cohort. Outcome may be predicted in up to two-thirds of patients, and thresholds are affected by stroke side and reperfusion therapy.

ABBREVIATIONS:

AUC
area under the curve
IA
intra-arterial
PPV
positive predictive value
Tmax
time at which the scaled residue function reached its maximum
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American Journal of Neuroradiology: 36 (2)
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P.W. Schaefer, B. Pulli, W.A. Copen, J.A. Hirsch, T. Leslie-Mazwi, L.H. Schwamm, O. Wu, R.G. González, A.J. Yoo
Combining MRI with NIHSS Thresholds to Predict Outcome in Acute Ischemic Stroke: Value for Patient Selection
American Journal of Neuroradiology Feb 2015, 36 (2) 259-264; DOI: 10.3174/ajnr.A4103

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Combining MRI with NIHSS Thresholds to Predict Outcome in Acute Ischemic Stroke: Value for Patient Selection
P.W. Schaefer, B. Pulli, W.A. Copen, J.A. Hirsch, T. Leslie-Mazwi, L.H. Schwamm, O. Wu, R.G. González, A.J. Yoo
American Journal of Neuroradiology Feb 2015, 36 (2) 259-264; DOI: 10.3174/ajnr.A4103
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