Literature DB >> 25028291

New grading of moyamoya disease using color-coded parametric quantitative digital subtraction angiography.

Sheng-Che Hung1, Muh-Lii Liang2, Chun-Fu Lin2, Chung-Jung Lin3, Wan-Yuo Guo4, Feng-Chi Chang3, Tai-Tong Wong5, Cheng-Yen Chang3.   

Abstract

BACKGROUND: Moyamoya disease (MMD) is an uncommon cerebrovascular disorder characterized by idiopathic progressive stenosis or the occlusion of the intracranial arteries. Digital subtraction angiography (DSA) is the reference diagnostic imaging modality for MMD. Use of the conventional Suzuki grading remains the gold standard for evaluating the severity of MMD. In this study, we propose a quantitative method using color-coded parametric quantitative DSA (QDSA) to improve prediction of the severity of MMD.
METHODS: Eighteen DSA examinations from 18 patients with MMD and 14 control participants were included. All patients with MMD underwent DSA and dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI). QDSA was used to determine the delay time of maximal opacification (Td) between the internal carotid artery and the M2 segment of the middle cerebral artery. The time-to-peak (TTP) was measured in the medial frontal, lateral frontal, parietal, and occipital lobes from the DSC-PWI. The relative TTP (rTTP) values were then obtained by subtracting the TTP of the cerebellum.
RESULTS: The Td was significantly longer in the patients with MMD presenting with infarction than in the control group. The Td significantly correlated with the angiographic Suzuki grading system and showed closer correlation with prolonged rTTP in the medial frontal, lateral frontal, and parietal regions compared with Suzuki grading.
CONCLUSION: The Td significantly correlated with conventional angiographic grading and with the status of hemodynamic impairment in patients with MMD. QDSA and Td measurements can provide a simple and quantitative angiographic grading system for patients with MMD.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  angiography; digital subtraction; magnetic resonance imaging; moyamoya disease

Mesh:

Year:  2014        PMID: 25028291     DOI: 10.1016/j.jcma.2014.05.007

Source DB:  PubMed          Journal:  J Chin Med Assoc        ISSN: 1726-4901            Impact factor:   2.743


  7 in total

1.  Quantitative Assessment of Neovascularization after Indirect Bypass Surgery: Color-Coded Digital Subtraction Angiography in Pediatric Moyamoya Disease.

Authors:  H-H Cho; J-E Cheon; S-K Kim; Y H Choi; I-O Kim; W S Kim; S-M Lee; S K You; S-M Shin
Journal:  AJNR Am J Neuroradiol       Date:  2015-12-17       Impact factor: 3.825

2.  Peritherapeutic Hemodynamic Changes of Carotid Stenting Evaluated with Quantitative DSA in Patients with Carotid Stenosis.

Authors:  M M H Teng; F-C Chang; C-J Lin; L Chiang; J-S Hong; Y-H Kao
Journal:  AJNR Am J Neuroradiol       Date:  2016-05-12       Impact factor: 3.825

Review 3.  Quantitative Digital Subtraction Angiography in Pediatric Moyamoya Disease.

Authors:  Jung-Eun Cheon
Journal:  J Korean Neurosurg Soc       Date:  2015-06-30

Review 4.  Brain Vascular Imaging Techniques.

Authors:  Bàrbara Laviña
Journal:  Int J Mol Sci       Date:  2016-12-30       Impact factor: 5.923

5.  Assessment of Flow after Lower Extremity Endovascular Revascularisation: A Feasibility Study Using Time Attenuation Curve Analysis of Digital Subtraction Angiography.

Authors:  Jun J Ng; Evangelos Papadimas; Rajesh B Dharmaraj
Journal:  EJVES Short Rep       Date:  2019-08-26

6.  Early Microcirculatory Hemodynamic Changes Are Correlated With Functional Outcomes at Discharge in Patients With Aneurysmal SAH.

Authors:  Lili Wen; Longjiang Zhou; Qi Wu; Xiaoyu Tang; Jiajia Ge; Xiaoming Zhou; Xin Zhang
Journal:  Front Neurol       Date:  2022-01-20       Impact factor: 4.003

7.  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 in total

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