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PMID: 33171424 Published · ppublish English Journal Article

Preoperatively estimated graft flow rate contributes to the improvement of hemodynamics in revascularization for Moyamoya disease.

Kuribara T, Mikami T, Komatsu K, Kimura Y, Kim S, Miyata K, Akiyama Y, Enatsu R, Hirano T, Mikuni N

Abstract

Superficial temporal artery (STA)-middle cerebral artery (MCA) bypass operation is an effective treatment for patients with Moyamoya disease, and the hemodynamic parameters are reported to be improved after operation. However, there is no report concerning hemodynamic changes from the viewpoint of the preoperative anatomical structure of grafts. In this study, we evaluated the correlation between the preoperatively estimated blood flow of the graft obtained through image-based computational fluid dynamics (CFD) analysis and the hemodynamic changes in the acute phase after revascularization. A total of 30 hemispheric sides of 23 patients were examined. The blood flow, that is, flow rate (FR) of the STA branches that were anastomosed to the MCA was evaluated using CFD analysis based on computed tomography (CT) angiography imaging data. The correlations between the FR and the hemodynamic changes in the acute phase after revascularization obtained through CT perfusion were assessed. The preoperatively estimated FR of the graft was moderately correlated with the changes in the mean transit time significantly and weakly correlated with those in the cerebral blood flow and cerebral blood volume. In addition, the FR was strongly correlated with age and the diameter of the STA from the origin to the bifurcation. The preoperatively estimated FR of the graft obtained through image-based CFD analysis contributed to the improvement of the mean transit time after revascularization. Because the FR of the graft was associated with the diameter of the STA, the size of the STA might be an important factor in postoperative hemodynamic changes. This might lead to the risk assessment of acute drastic hemodynamic changes as cerebral hyperperfusion, and consequently, better surgical outcomes might be expected.

Keywords
Computational fluid dynamics Computed tomography angiography Computed tomography perfusion Mean transit time Moyamoya disease
MeSH 主题词
Adolescent Adult Blood Flow Velocity Cerebral Angiography Cerebral Revascularization/adverse effects Cerebrovascular Circulation Child Child, Preschool Computed Tomography Angiography Female Hemodynamics Humans Hydrodynamics Male Middle Aged Middle Cerebral Artery/diagnostic imaging,physiopathology,surgery Models, Cardiovascular Moyamoya Disease/diagnostic imaging,physiopathology,surgery Patient-Specific Modeling Perfusion Imaging Predictive Value of Tests Retrospective Studies Temporal Arteries/diagnostic imaging,physiopathology,surgery Treatment Outcome Young Adult
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Kuribara Tomoyoshi
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Mikami Takeshi
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan. Electronic address: [email protected].
Komatsu Katsuya
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Kimura Yusuke
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Kim Sangnyon
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Miyata Kei
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Akiyama Yukinori
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Enatsu Rei
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Hirano Toru
Division of Radiology, Sapporo Medical University Hospital, Sapporo, Hokkaido, Japan.
Mikuni Nobuhiro
Department of Neurosurgery, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Article Info
Journal
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Abbr.
J Stroke Cerebrovasc Dis
ISSN
1532-8511
Corresponding email
Published
2021-01-00
Epub
2020-00-07
Pages
105450
Language
English
Country/Region
United States
NLM ID
9111633
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