Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke

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Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke. / Kamalian, Shervin; Kemmling, Andre; Borgie, Roderick C; Morais, Livia T; Payabvash, Seyedmehdi; Franceschi, Ana M; Kamalian, Shahmir; Yoo, Albert J; Furie, Karen L; Lev, Michael H.

in: STROKE, Jahrgang 44, Nr. 11, 01.11.2013, S. 3084-9.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Kamalian, S, Kemmling, A, Borgie, RC, Morais, LT, Payabvash, S, Franceschi, AM, Kamalian, S, Yoo, AJ, Furie, KL & Lev, MH 2013, 'Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke', STROKE, Jg. 44, Nr. 11, S. 3084-9. https://doi.org/10.1161/STROKEAHA.113.002260

APA

Kamalian, S., Kemmling, A., Borgie, R. C., Morais, L. T., Payabvash, S., Franceschi, A. M., Kamalian, S., Yoo, A. J., Furie, K. L., & Lev, M. H. (2013). Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke. STROKE, 44(11), 3084-9. https://doi.org/10.1161/STROKEAHA.113.002260

Vancouver

Bibtex

@article{6e499bba31bb4feda96cc3523f25c2e3,
title = "Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke",
abstract = "BACKGROUND AND PURPOSE: Previous univariate analyses have suggested that proximal middle cerebral artery infarcts with insular involvement have greater severity and are more likely to progress into surrounding penumbral tissue at risk. We hypothesized that a practical, simple scoring method to assess percent insular ribbon infarction (PIRI score) would improve prediction of penumbral loss over other common imaging biomarkers.METHODS: Of consecutive acute stroke patients from 2003 to 2008, 45 with proximal middle cerebral artery-only occlusion met inclusion criteria, including available penumbral imaging. Infarct (diffusion-weighted imaging), tissue at risk (magnetic resonance mean transit time), and final infarct volume (magnetic resonance/computed tomography) were manually segmented. Diffusion-weighted imaging images were rated according to the 5-point PIRI score (0, normal; 1, <25%; 2, 25%-49%; 3, 50%-74%; 4, ≥75% insula involvement). Percent mismatch loss was calculated as an outcome measure of infarct progression. Receiver operating characteristic curve and multivariate analyses were performed.RESULTS: Mean admission diffusion-weighted imaging infarct volume was 30.9 (±38.8) mL and median (interquartile range) PIRI score was 3 (0.75-4). PIRI score was significantly correlated with percent mismatch loss (P<0.0001). When percent mismatch loss was dichotomized based on its median value (30.0%), receiver operating characteristic curve area under curve was 0.89 (P=0.0001) with a 25% insula infarction optimal threshold. After adjusting for time to imaging and treatment, binary logistic regression, including dichotomized PIRI (25% threshold), age, National Institutes of Health Stroke Scale score, diffusion-weighted imaging infarct volume, and computed tomography angiography collateral score as covariates, revealed that only dichotomized insula score (P=0.03) and age (P=0.02) were independent predictors of large (68.2%) versus small (8.1%) mismatch loss. There was excellent interobserver agreement for dichotomized PIRI scoring (κ=0.91).CONCLUSIONS: Admission insular infarction >25% is the strongest predictor of large mismatch loss in this cohort of proximal middle cerebral artery occlusive stroke. This outcome marker may help to identify treatment-eligible patients who are in greatest need of rapid reperfusion therapy.",
keywords = "Aged, Algorithms, Cohort Studies, Diffusion, Diffusion Magnetic Resonance Imaging, Female, Humans, Infarction, Middle Cerebral Artery, Magnetic Resonance Imaging, Male, Middle Aged, Middle Cerebral Artery, Multivariate Analysis, Patient Admission, ROC Curve, Retrospective Studies, Stroke, Tomography, X-Ray Computed",
author = "Shervin Kamalian and Andre Kemmling and Borgie, {Roderick C} and Morais, {Livia T} and Seyedmehdi Payabvash and Franceschi, {Ana M} and Shahmir Kamalian and Yoo, {Albert J} and Furie, {Karen L} and Lev, {Michael H}",
year = "2013",
month = nov,
day = "1",
doi = "10.1161/STROKEAHA.113.002260",
language = "English",
volume = "44",
pages = "3084--9",
journal = "STROKE",
issn = "0039-2499",
publisher = "Lippincott Williams and Wilkins",
number = "11",

}

RIS

TY - JOUR

T1 - Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke

AU - Kamalian, Shervin

AU - Kemmling, Andre

AU - Borgie, Roderick C

AU - Morais, Livia T

AU - Payabvash, Seyedmehdi

AU - Franceschi, Ana M

AU - Kamalian, Shahmir

AU - Yoo, Albert J

AU - Furie, Karen L

AU - Lev, Michael H

PY - 2013/11/1

Y1 - 2013/11/1

N2 - BACKGROUND AND PURPOSE: Previous univariate analyses have suggested that proximal middle cerebral artery infarcts with insular involvement have greater severity and are more likely to progress into surrounding penumbral tissue at risk. We hypothesized that a practical, simple scoring method to assess percent insular ribbon infarction (PIRI score) would improve prediction of penumbral loss over other common imaging biomarkers.METHODS: Of consecutive acute stroke patients from 2003 to 2008, 45 with proximal middle cerebral artery-only occlusion met inclusion criteria, including available penumbral imaging. Infarct (diffusion-weighted imaging), tissue at risk (magnetic resonance mean transit time), and final infarct volume (magnetic resonance/computed tomography) were manually segmented. Diffusion-weighted imaging images were rated according to the 5-point PIRI score (0, normal; 1, <25%; 2, 25%-49%; 3, 50%-74%; 4, ≥75% insula involvement). Percent mismatch loss was calculated as an outcome measure of infarct progression. Receiver operating characteristic curve and multivariate analyses were performed.RESULTS: Mean admission diffusion-weighted imaging infarct volume was 30.9 (±38.8) mL and median (interquartile range) PIRI score was 3 (0.75-4). PIRI score was significantly correlated with percent mismatch loss (P<0.0001). When percent mismatch loss was dichotomized based on its median value (30.0%), receiver operating characteristic curve area under curve was 0.89 (P=0.0001) with a 25% insula infarction optimal threshold. After adjusting for time to imaging and treatment, binary logistic regression, including dichotomized PIRI (25% threshold), age, National Institutes of Health Stroke Scale score, diffusion-weighted imaging infarct volume, and computed tomography angiography collateral score as covariates, revealed that only dichotomized insula score (P=0.03) and age (P=0.02) were independent predictors of large (68.2%) versus small (8.1%) mismatch loss. There was excellent interobserver agreement for dichotomized PIRI scoring (κ=0.91).CONCLUSIONS: Admission insular infarction >25% is the strongest predictor of large mismatch loss in this cohort of proximal middle cerebral artery occlusive stroke. This outcome marker may help to identify treatment-eligible patients who are in greatest need of rapid reperfusion therapy.

AB - BACKGROUND AND PURPOSE: Previous univariate analyses have suggested that proximal middle cerebral artery infarcts with insular involvement have greater severity and are more likely to progress into surrounding penumbral tissue at risk. We hypothesized that a practical, simple scoring method to assess percent insular ribbon infarction (PIRI score) would improve prediction of penumbral loss over other common imaging biomarkers.METHODS: Of consecutive acute stroke patients from 2003 to 2008, 45 with proximal middle cerebral artery-only occlusion met inclusion criteria, including available penumbral imaging. Infarct (diffusion-weighted imaging), tissue at risk (magnetic resonance mean transit time), and final infarct volume (magnetic resonance/computed tomography) were manually segmented. Diffusion-weighted imaging images were rated according to the 5-point PIRI score (0, normal; 1, <25%; 2, 25%-49%; 3, 50%-74%; 4, ≥75% insula involvement). Percent mismatch loss was calculated as an outcome measure of infarct progression. Receiver operating characteristic curve and multivariate analyses were performed.RESULTS: Mean admission diffusion-weighted imaging infarct volume was 30.9 (±38.8) mL and median (interquartile range) PIRI score was 3 (0.75-4). PIRI score was significantly correlated with percent mismatch loss (P<0.0001). When percent mismatch loss was dichotomized based on its median value (30.0%), receiver operating characteristic curve area under curve was 0.89 (P=0.0001) with a 25% insula infarction optimal threshold. After adjusting for time to imaging and treatment, binary logistic regression, including dichotomized PIRI (25% threshold), age, National Institutes of Health Stroke Scale score, diffusion-weighted imaging infarct volume, and computed tomography angiography collateral score as covariates, revealed that only dichotomized insula score (P=0.03) and age (P=0.02) were independent predictors of large (68.2%) versus small (8.1%) mismatch loss. There was excellent interobserver agreement for dichotomized PIRI scoring (κ=0.91).CONCLUSIONS: Admission insular infarction >25% is the strongest predictor of large mismatch loss in this cohort of proximal middle cerebral artery occlusive stroke. This outcome marker may help to identify treatment-eligible patients who are in greatest need of rapid reperfusion therapy.

KW - Aged

KW - Algorithms

KW - Cohort Studies

KW - Diffusion

KW - Diffusion Magnetic Resonance Imaging

KW - Female

KW - Humans

KW - Infarction, Middle Cerebral Artery

KW - Magnetic Resonance Imaging

KW - Male

KW - Middle Aged

KW - Middle Cerebral Artery

KW - Multivariate Analysis

KW - Patient Admission

KW - ROC Curve

KW - Retrospective Studies

KW - Stroke

KW - Tomography, X-Ray Computed

U2 - 10.1161/STROKEAHA.113.002260

DO - 10.1161/STROKEAHA.113.002260

M3 - SCORING: Journal article

C2 - 23988643

VL - 44

SP - 3084

EP - 3089

JO - STROKE

JF - STROKE

SN - 0039-2499

IS - 11

ER -