104
views
0
recommends
+1 Recommend
0 collections
    2
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Multiparametric Model for Penumbral Flow Prediction in Acute Stroke.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Identification of salvageable penumbra tissue by dynamic susceptibility contrast magnetic resonance imaging is a valuable tool for acute stroke patient stratification for treatment. However, prior studies have not attempted to combine the different perfusion maps into a predictive model. In this study, we established a multiparametric perfusion imaging model and cross-validated it using positron emission tomography perfusion for detection of penumbral flow.

          Related collections

          Author and article information

          Journal
          Stroke
          Stroke
          Ovid Technologies (Wolters Kluwer Health)
          1524-4628
          0039-2499
          July 2017
          : 48
          : 7
          Affiliations
          [1 ] From the Center for Stroke Research Berlin (CSB) (M.L., T.K., V.I.M., J.S.), and Department of Neurosurgery (V.I.M.), Charité-Universitätsmedizin Berlin, Germany; Max-Planck-Institute for Neurological Research, Cologne, Germany (O.Z.-W., W.-D.H.); Department of Radiology, Ludmillenstift Meppen, Germany (W.M.-H.); and Center of Functionally Integrative Neuroscience, Aarhus University, Denmark (K.M.).
          [2 ] From the Center for Stroke Research Berlin (CSB) (M.L., T.K., V.I.M., J.S.), and Department of Neurosurgery (V.I.M.), Charité-Universitätsmedizin Berlin, Germany; Max-Planck-Institute for Neurological Research, Cologne, Germany (O.Z.-W., W.-D.H.); Department of Radiology, Ludmillenstift Meppen, Germany (W.M.-H.); and Center of Functionally Integrative Neuroscience, Aarhus University, Denmark (K.M.). jan.sobesky@charite.de.
          Article
          STROKEAHA.117.016631
          10.1161/STROKEAHA.117.016631
          28630234
          639033d2-f4f1-476f-9fd0-6b00a7f0dca6
          History

          perfusion imaging,magnetic resonance imaging,acute stroke,positron emission tomography,cerebrovascular circulation

          Comments

          Comment on this article