http://intl-jcb.sagepub.com/content/early/2015/12/02/0271678X15621704.full
- Arturo Renú1
- Carlos Laredo1
- Raúl Tudela2
- Xabier Urra1
- Antonio Lopez-Rueda3
- Laura Llull1
- Laura Oleaga3
- Sergio Amaro1⇑
- Ángel Chamorro1
- 1Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- 2CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Group of Biomedical Imaging of the University of Barcelona, Barcelona, Spain
- 3Radiology Department, Hospital Clinic, Barcelona, Spain
- Sergio Amaro, Hospital Clinic, Villarroel 170, 08036 Barcelona, Spain. Email: samaro@clinic.ub.es
Abstract
Endovascular reperfusion therapy is
increasingly used for acute ischemic stroke treatment. The occurrence of
parenchymal hemorrhage
is clinically relevant and increases with
reperfusion therapies. Herein we aimed to examine the optimal perfusion
CT-derived
parameters and the impact of the duration of brain
ischemia for the prediction of parenchymal hemorrhage after endovascular
therapy. A cohort of 146 consecutive patients with
anterior circulation occlusions and treated with endovascular
reperfusion
therapy was analyzed. Recanalization was assessed
at the end of reperfusion treatment, and the rate of parenchymal
hemorrhage
at follow-up neuroimaging. In regression analyses,
cerebral blood volume and cerebral blood flow performed better than
Delay
Time maps for the prediction of parenchymal
hemorrhage. The most informative thresholds (receiver operating curves)
for relative
cerebral blood volume and relative cerebral blood
flow were values lower than 2.5% of normal brain. In binary regression
analyses,
the volume of regions with reduced relative
cerebral blood volume and/or relative cerebral blood flow was
significantly associated
with an increased risk of parenchymal hemorrhage,
as well as delayed vessel recanalization. These results highlight the
relevance
of the severity and duration of ischemia as drivers
of blood-brain barrier disruption in acute ischemic stroke and support
the role of perfusion CT for the prediction of
parenchymal hemorrhage.
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