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Lesional and perilesional tissue characterization by automated image processing in a novel gyrencephalic animal model of peracute intracerebral hemorrhage.

Boltze, J; Ferrara, F; Hainsworth, AH; Bridges, LR; Zille, M; Lobsien, D; Barthel, H; McLeod, DD; Gräßer, F; Pietsch, S; et al. Boltze, J; Ferrara, F; Hainsworth, AH; Bridges, LR; Zille, M; Lobsien, D; Barthel, H; McLeod, DD; Gräßer, F; Pietsch, S; Schatzl, A-K; Dreyer, AY; Nitzsche, B (2018) Lesional and perilesional tissue characterization by automated image processing in a novel gyrencephalic animal model of peracute intracerebral hemorrhage. J Cereb Blood Flow Metab. 271678X18802119. ISSN 1559-7016 https://doi.org/10.1177/0271678X18802119
SGUL Authors: Hainsworth, Atticus Henry

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Abstract

Intracerebral hemorrhage (ICH) is an important stroke subtype, but preclinical research is limited by a lack of translational animal models. Large animal models are useful to comparatively investigate key pathophysiological parameters in human ICH. To (i) establish an acute model of moderate ICH in adult sheep and (ii) an advanced neuroimage processing pipeline for automatic brain tissue and hemorrhagic lesion determination; 14 adult sheep were assigned for stereotactically induced ICH into cerebral white matter under physiological monitoring. Six hours after ICH neuroimaging using 1.5T MRI including structural as well as perfusion and diffusion, weighted imaging was performed before scarification and subsequent neuropathological investigation including immunohistological staining. Controlled, stereotactic application of autologous blood caused a space-occupying intracerebral hematoma of moderate severity, predominantly affecting white matter at 5 h post-injection. Neuroimage post-processing including lesion probability maps enabled automatic quantification of structural alterations including perilesional diffusion and perfusion restrictions. Neuropathological and immunohistological investigation confirmed perilesional vacuolation, axonal damage, and perivascular blood as seen after human ICH. The model and imaging platform reflects key aspects of human ICH and enables future translational research on hematoma expansion/evacuation, white matter changes, hematoma evacuation, and other aspects.

Item Type: Article
Additional Information: Boltze, J; Ferrara, F; Hainsworth, AH; Bridges, LR; Zille, M; Lobsien, D; Barthel, H; McLeod, DD; Gräßer, F; Pietsch, S; et al., Lesional and perilesional tissue characterization by automated image processing in a novel gyrencephalic animal model of peracute intracerebral hemorrhage, J Cereb Blood Flow Metab Copyright © 2018 (SAGE Publications). DOI: 10.1177/0271678X18802119
Keywords: Brain, hemorrhage, large animal, perfusion, segmentation, 1103 Clinical Sciences, 1109 Neurosciences, 1102 Cardiovascular Medicine And Haematology, Neurology & Neurosurgery
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: J Cereb Blood Flow Metab
ISSN: 1559-7016
Language: eng
Dates:
DateEvent
21 September 2018Published Online
15 August 2018Accepted
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
100109012European UnionUNSPECIFIED
PG146/151Alzheimer's Society (UK)UNSPECIFIED
PPG2014A-8Alzheimer’s Research UKhttp://dx.doi.org/10.13039/501100002283
PubMed ID: 30239258
Go to PubMed abstract
URI: http://sgultest.da.ulcc.ac.uk/id/eprint/110190
Publisher's version: https://doi.org/10.1177/0271678X18802119

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