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Hypoperfusion ratio predicts infarct growth during transfer for thrombectomy.
Guenego, Adrien; Mlynash, Michael; Christensen, Soren; Kemp, Stephanie; Heit, Jeremy J; Lansberg, Maarten G; Albers, Gregory W.
Affiliation
  • Guenego A; Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
  • Mlynash M; Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
  • Christensen S; Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
  • Kemp S; Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
  • Heit JJ; Diagnostic and Interventional Neuroradiology Department, Stanford University School of Medicine, Stanford, CA.
  • Lansberg MG; Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
  • Albers GW; Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
Ann Neurol ; 84(4): 616-620, 2018 10.
Article in En | MEDLINE | ID: mdl-30168180
ABSTRACT
We hypothesized that automated assessment of collaterals on computed tomography perfusion can predict the rate of infarct growth during transfer from a primary to a comprehensive stroke center for endovascular stroke treatment. We identified consecutive patients (N = 28) and assessed their collaterals based on the hypoperfusion intensity ratio (HIR) prior to transfer. Infarct growth rate was strongly correlated with HIR (r = 0.78, p < 0.001). Receiver operating characteristic analysis identified HIR ≥ 0.5 as optimal for predicting infarct growth. Patients with HIR ≥ 0.5 had a median infarct growth rate of 10.1ml/h (interquartile range [IQR] = 6.4-18.4) compared with 0.9ml/h (IQR = 0-2.8; p < 0.001) in patients with HIR < 0.5. Patients with HIR ≥ 0.5 had an 83% probability of significant core growth, whereas patients with HIR < 0.5 had an 88% probability of core stability. These preliminary data have the potential to guide decision making regarding whether repeat brain imaging should be performed after transfer to a comprehensive stroke center. Ann Neurol 2018;84616-620.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Patient Transfer / Thrombectomy / Brain Infarction / Perfusion Imaging Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Ann Neurol Year: 2018 Document type: Article Affiliation country: Canada

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Patient Transfer / Thrombectomy / Brain Infarction / Perfusion Imaging Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Ann Neurol Year: 2018 Document type: Article Affiliation country: Canada