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Venous imaging-based biomarkers in acute ischaemic stroke

  • Josep Munuera
  • , Gerard Blasco
  • , María Hernández-Pérez
  • , Pepus Daunis-I-Estadella
  • , Antoni Dávalos
  • , David S. Liebeskind
  • , Max Wintermark
  • , Andrew Demchuk
  • , Bijoy K. Menon
  • , Götz Thomalla
  • , Kambiz Nael
  • , Salvador Pedraza
  • , Josep Puig
  • Generalitat de Catalunya
  • Institute of Diagnostic Imaging (IDI) - Research Unit (IDIR)
  • Girona Biomedical Research Institute
  • University of California at Los Angeles
  • Stanford University
  • University of Calgary
  • University of Hamburg
  • Icahn School of Medicine at Mount Sinai
  • University of Girona

Research output: Contribution to journalReview articlepeer-review

27 Citations (Scopus)

Abstract

Vascular neuroimaging plays a decisive role in selecting the best therapy in patients with acute ischaemic stroke. However, compared with the arterial system, the role of veins has not been thoroughly studied. In this review, we present the major venous imaging-based biomarkers in ischaemic stroke. First, the presence of hypodense veins in the monophasic CT angiography ipsilateral to the arterial occlusion. Second, the asymmetry of venous drainage in the pathological cerebral hemisphere on CT and MRI dynamic angiography. Finally, the presence of hypodense veins on T2∗ -based MRI. From the physiological point of view, the venous imaging-based biomarkers would detect the alteration of brain perfusion (flow), as well as the optimisation of extraction oxygen mechanisms (misery perfusion). Several studies have correlated the venous imaging-based biomarkers with grade of collateral circulation, the ischaemic penumbra and clinical functional outcome. Although venous imaging-based biomarkers still have to be validated, growing evidence highlights a potential complementary role in the acute stroke clinical decision-making process.

Original languageEnglish
Pages (from-to)62-69
Number of pages8
JournalJournal of Neurology, Neurosurgery and Psychiatry
Volume88
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • MRI
  • STROKE

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