Admission Insular Infarction >25% Is the Strongest Predictor of Large Mismatch Loss in Proximal Middle Cerebral Artery Stroke | Zendy

Shervin Kamalian | Zendy; André Kemmling | Zendy; Roderick C. Borgie | Zendy; Lívia T. Morais | Zendy; Seyedmehdi Payabvash | Zendy; Ana M. Franceschi | Zendy; Shahmir Kamalian | Zendy; Albert J. Yoo | Zendy; Karen L. Furie | Zendy; Michael H. Lev | Zendy

Open Access

Admission Insular Infarction >25% Is the Strongest Predictor of Large Mismatch Loss in Proximal Middle Cerebral Artery Stroke

Author(s) -

Shervin Kamalian,

André Kemmling,

Roderick C. Borgie,

Lívia T. Morais,

Seyedmehdi Payabvash,

Ana M. Franceschi,

Shahmir Kamalian,

Albert J. Yoo,

Karen L. Furie,

Michael H. Lev

Publication year - 2013

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.113.002260

Subject(s) - medicine , magnetic resonance imaging , receiver operating characteristic , middle cerebral artery , interquartile range , stroke (engine) , infarction , cardiology , diffusion mri , area under the curve , nuclear medicine , radiology , ischemia , myocardial infarction , engineering , mechanical engineering

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.

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