| Literature DB >> 30102288 |
Axel Neulen1, Michael Kosterhon2, Tobias Pantel2, Stefanie Kirschner3, Hermann Goetz4, Marc A Brockmann3, Sven R Kantelhardt2, Serge C Thal5.
Abstract
Subarachnoid hemorrhage (SAH) is a subtype of hemorrhagic stroke. Cerebral vasospasm that occurs in the aftermath of the bleeding is an important factor determining patient outcome and is therefore frequently taken as a study endpoint. However, in small animal studies on SAH, quantification of cerebral vasospasm is a major challenge. Here, an ex vivo method is presented that allows quantification of volumes of entire vessel segments, which can be used as an objective measure to quantify cerebral vasospasm. In a first step, endovascular casting of the cerebral vasculature is performed using a radiopaque casting agent. Then, cross-sectional imaging data are acquired by micro computed tomography. The final step involves 3-dimensional reconstruction of the virtual vascular tree, followed by an algorithm to calculate center lines and volumes of the selected vessel segments. The method resulted in a highly accurate virtual reconstruction of the cerebrovascular tree shown by a diameter-based comparison of anatomical samples with their virtual reconstructions. Compared with vessel diameters alone, the vessel volumes highlight the differences between vasospastic and non-vasospastic vessels shown in a series of SAH and sham-operated mice.Entities:
Mesh:
Year: 2018 PMID: 30102288 PMCID: PMC6126573 DOI: 10.3791/57997
Source DB: PubMed Journal: J Vis Exp ISSN: 1940-087X Impact factor: 1.355