Literature DB >> 31856692

Impact of Endothelial Shear Stress on the Bilateral Progression of Unilateral Moyamoya Disease.

Woo-Jin Lee1, Seul-Ki Jeong2, Kap-Soo Han3, Sang Hyuk Lee4, Young Jin Ryu5, Chul-Ho Sohn6, Keun-Hwa Jung1,7.   

Abstract

Background and Purpose- In unilateral moyamoya disease, altered endothelial shear stress on the intact-side terminal internal carotid artery might trigger the progression to bilateral disease. We analyzed the endothelial shear stress parameters of the normally appearing terminal internal carotid artery in unilateral moyamoya disease and its association with the progression to bilateral disease. Methods- This retrospective cohort study included patients diagnosed with unilateral moyamoya disease by cerebral angiography and followed-up with regular magnetic resonance imaging/magnetic resonance angiography evaluations for >1 year. Endothelial shear stress parameters acquired were mean and maximum signal intensity gradients (SIG) and SIG SD at the vessel boundary in time-of-flight sequences in initial brain magnetic resonance imaging/magnetic resonance angiography. Contralateral disease progression defined as the detection of newly developed vessel steno-occlusion with an magnetic resonance angiography steno-occlusive stage of ≥2, in the previously intact side of the brain on follow-up magnetic resonance imaging/magnetic resonance angiography evaluation. Results- Among 146 patients (66 males [45.2%] and 80 females [54.8%]; 76 pediatric [52.1%]), contralateral disease progression was detected in 43 patients (29.5%) after a mean follow-up of 4.3±2.4 years. Multivariate analysis showed that SIG SD was significantly associated with this progression (odds ratio, 13.001 [95% CI, 1.764-95.794], P=0.012). In receiver operating characteristic curve analysis, SIG SD predicted the contralateral progression with area under the curve values of 0.803 (95% CI, 0.726-0.880, P<0.001). The regression model was reproduced in the external cohort of 31 patients. Conclusions- Increased spatial variability of the endothelial shear stress around the normally appearing terminal internal carotid artery, as measured by SIG SD in time-of-flight sequences, may predict the contralateral progression of unilateral moyamoya disease.

Entities:  

Keywords:  Moyamoya disease; angiography; cerebrovascular circulation; disease progression; magnetic resonance imaging

Mesh:

Year:  2019        PMID: 31856692     DOI: 10.1161/STROKEAHA.119.028117

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  7 in total

1.  Role of the RNF213 Variant in Vascular Outcomes in Patients With Intracranial Atherosclerosis.

Authors:  Hyung Jun Kim; Eun-Hyeok Choi; Jong-Won Chung; Jae-Hwan Kim; Ye Sel Kim; Woo-Keun Seo; Gyeong-Moon Kim; Oh Young Bang
Journal:  J Am Heart Assoc       Date:  2020-12-25       Impact factor: 5.501

Review 2.  Pathophysiology of Vascular Stenosis and Remodeling in Moyamoya Disease.

Authors:  Brandon M Fox; Kirsten B Dorschel; Michael T Lawton; John E Wanebo
Journal:  Front Neurol       Date:  2021-09-03       Impact factor: 4.003

3.  Patient-Specific Modeling Could Predict Occurrence of Pediatric Stroke.

Authors:  John D Horn; Michael J Johnson; Zbigniew Starosolski; Avner Meoded; Dianna M Milewicz; Ananth Annapragada; Shaolie S Hossain
Journal:  Front Physiol       Date:  2022-02-28       Impact factor: 4.566

4.  The contralateral progression in a cohort of Chinese adult patients with unilateral moyamoya disease after revascularization: a single-center long-term retrospective study.

Authors:  Xiao Tian; Miao Hu; Jianjian Zhang
Journal:  Acta Neurochir (Wien)       Date:  2022-03-26       Impact factor: 2.816

5.  RNF213 R4810K Variant in Suspected Unilateral Moyamoya Disease Predicts Contralateral Progression.

Authors:  Taedong Ok; Yo Han Jung; Jinkwon Kim; Sang Kyu Park; Goeun Park; Sujee Lee; Kyung-Yul Lee
Journal:  J Am Heart Assoc       Date:  2022-07-25       Impact factor: 6.106

6.  Image-based patient-specific flow simulations are consistent with stroke in pediatric cerebrovascular disease.

Authors:  Shaolie S Hossain; Zbigniew Starosolski; Travis Sanders; Michael J Johnson; Michael C H Wu; Ming-Chen Hsu; Dianna M Milewicz; Ananth Annapragada
Journal:  Biomech Model Mechanobiol       Date:  2021-07-20

7.  Comparison of Hemodynamic Visualization in Cerebral Arteries: Can Magnetic Resonance Imaging Replace Computational Fluid Dynamics?

Authors:  Minh Tri Ngo; Ui Yun Lee; Hojin Ha; Ning Jin; Gyung Ho Chung; Yeong Gon Kwak; Jinmu Jung; Hyo Sung Kwak
Journal:  J Pers Med       Date:  2021-03-30
  7 in total

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