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

Sheng Che Hung, Muh Lii Liang, Chun Fu Lin, Chung Jung Lin, Wan Yuo Guo, Feng Chi Chang, Tai-Tong Wong, Cheng Yen Chang

Research output: Contribution to journalArticle

13 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)437-442
Number of pages6
JournalJournal of the Chinese Medical Association
Volume77
Issue number8
DOIs
Publication statusPublished - Jan 1 2014
Externally publishedYes

Fingerprint

Moyamoya Disease
Digital Subtraction Angiography
Color
Parietal Lobe
Perfusion Imaging
Cerebrovascular Disorders
Occipital Lobe
Middle Cerebral Artery
Internal Carotid Artery
Frontal Lobe
Diagnostic Imaging
Cerebellum
Infarction
Pathologic Constriction
Arteries
Hemodynamics
Control Groups

Keywords

  • Angiography
  • Digital subtraction
  • Magnetic resonance imaging
  • Moyamoya disease

ASJC Scopus subject areas

  • Medicine(all)

Cite this

New grading of moyamoya disease using color-coded parametric quantitative digital subtraction angiography. / Hung, Sheng Che; Liang, Muh Lii; Lin, Chun Fu; Lin, Chung Jung; Guo, Wan Yuo; Chang, Feng Chi; Wong, Tai-Tong; Chang, Cheng Yen.

In: Journal of the Chinese Medical Association, Vol. 77, No. 8, 01.01.2014, p. 437-442.

Research output: Contribution to journalArticle

Hung, Sheng Che ; Liang, Muh Lii ; Lin, Chun Fu ; Lin, Chung Jung ; Guo, Wan Yuo ; Chang, Feng Chi ; Wong, Tai-Tong ; Chang, Cheng Yen. / New grading of moyamoya disease using color-coded parametric quantitative digital subtraction angiography. In: Journal of the Chinese Medical Association. 2014 ; Vol. 77, No. 8. pp. 437-442.
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AU - Chang, Feng Chi

AU - Wong, Tai-Tong

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