scholarly journals Letter by Shang et al Regarding Article, “High-Resolution Magnetic Resonance Wall Imaging Findings of Moyamoya Disease”

Stroke ◽  
2014 ◽  
Vol 45 (12) ◽  
Author(s):  
Ty Shang ◽  
Babu Welch ◽  
Marco Pinho
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Moyamoya Disease ◽  
Imaging Findings ◽  
Wall Imaging

scholarly journals High-Resolution Magnetic Resonance Wall Imaging Findings of Moyamoya Disease

Stroke ◽  
2014 ◽  
Vol 45 (8) ◽  
pp. 2457-2460 ◽  
Author(s):  
Sookyung Ryoo ◽  
Jihoon Cha ◽  
Suk Jae Kim ◽  
Jin Wook Choi ◽  
Chang-Seok Ki ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Moyamoya Disease ◽  
Imaging Findings ◽  
Wall Imaging

Abstract WMP71: Moyamoya-atherosclerosis Syndrome: Clinical and High-resolution Magnetic Resonance Imaging Features

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Lian Duan ◽  
Wei-Hai Xu ◽  
Cong Han
Keyword(s):  
Magnetic Resonance Imaging ◽  
Risk Factors ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Moyamoya Disease ◽  
Treatment Strategies ◽  
Diagnostic Process ◽  
Imaging Features ◽  
Intracranial Atherosclerosis ◽  
Resonance Imaging

Introduction: The diagnosis in the patients with angiographic moyamoya findings and atherogenic risk factors is challenging. In this study, we try to incorporate high-resolution magnetic resonance imaging (HRMRI) into the diagnostic process of intracranial atherosclerosis associated moyamoya syndrome. Methods: From March 2013 to March 2014, HRMRI was consecutively performed on adult patients with angiographic moyamoya. The patients were classified as moyamoya - plaques (MMD-P) if a plaque could be identified or as moyamoya - no plaques (MMD-NP) if a plaque could not be identified. The angiography, HRMRI findings and atherogenic risk factors of these patients were analyzed. Results: Fifty-one patients (mean age 39±9, 20 males) were enrolled. On traditional angiography, probable intracranial atherosclerosis was identified in 5 patients, no definite diagnosis in 12 patients, and moyamoya disease in 34 patients. On HRMRI, 15 out of 32 patients with risk factors and 4 out of 19 patients without risk factors were found to have plaques and were diagnosed as MMD-P, while the other 32 patients were diagnosed as MMD-NP. The MMD-P patients were more likely to be older and male and were less likely to have cerebral hemorrhage and a history of disease progression. Conclusions: Our study suggests that HRMRI can help diagnose intracranial atherosclerosis more accurately in moyamoya disease patients with atherogenic risk factors. The distinct clinical features between MMD-P and MMD-NP patients suggest different underlying pathophysiology and therefore potentially different treatment strategies.

High-resolution magnetic resonance vessel wall imaging in cerebrovascular diseases

2018 ◽  
Vol 66 (4) ◽  
pp. 1124 ◽  
Author(s):  
PN Sylaja ◽  
Rajendran Adhithyan ◽  
Praveen Kesav ◽  
Bejoy Thomas ◽  
Chandrasekharan Kesavadas
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Vessel Wall ◽  
Cerebrovascular Diseases ◽  
Vessel Wall Imaging ◽  
Wall Imaging

scholarly journals High-resolution Magnetic Resonance Imaging of Moyamoya Disease

2015 ◽  
Vol 128 (23) ◽  
pp. 3231-3237 ◽  
Author(s):  
Le-Bao Yu ◽  
Qian Zhang ◽  
Zhi-Yong Shi ◽  
Ming-Qiu Wang ◽  
Dong Zhang
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Moyamoya Disease ◽  
Resonance Imaging

High-Resolution Magnetic Resonance Vessel Wall Imaging in Intracranial Atherosclerotic Disease

2019 ◽  
Vol 1 ◽  
pp. 193-214
Author(s):  
Ramez N. Abdalla ◽  
Donald R. Cantrell ◽  
Alireza Vali ◽  
Michael C. Hurley ◽  
Ali Shaibani ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Vessel Wall ◽  
Vessel Wall Imaging ◽  
Atherosclerotic Disease ◽  
Intracranial Atherosclerotic Disease ◽  
Wall Imaging

scholarly journals Luminal and Wall Changes in Intracranial Arterial Lesions for Predicting Stroke Occurrence

Stroke ◽  
2020 ◽  
Vol 51 (8) ◽  
pp. 2495-2504 ◽  
Author(s):  
Hyung Jun Kim ◽  
Eun-Hyeok Choi ◽  
Jong-Won Chung ◽  
Jae-Hwan Kim ◽  
Ye Sel Kim ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Moyamoya Disease ◽  
Ring Finger ◽  
Stroke Recurrence ◽  
Large Artery ◽  
Gene Variant ◽  
Resonance Imaging ◽  
Asian Patients

Background and Purpose: Luminal imaging (degree of stenosis) currently serves as the gold standard to predict stroke recurrence and guide therapeutic strategies in patients with intracranial large artery diseases (ILADs). We comparatively evaluated the importance of vessel wall and luminal changes in predicting stroke occurrence. Methods: Consecutive patients with ILAD in the proximal middle cerebral artery or distal internal carotid artery without proximal sources of embolism from the carotid and heart underwent time-of-flight magnetic resonance angiography, high-resolution magnetic resonance imaging, and the ring finger protein 213 ( RNF213 ) gene variant test. Patients were followed up for >3 months. Results: Of the 675 patients, 241 (35.7%) had atherosclerotic ILAD and 434 (64.3%) showed nonatherosclerotic ILAD (315 [46.7%] moyamoya disease cases and 119 [17.6%] dissection cases). The RNF213 variant was detected in 74.9%, 33.6%, and 3.4% patients with moyamoya disease, atherosclerosis, and dissection, respectively. Three hundred (44.4%) patients had asymptomatic ILAD, whereas 375 (55.6%) patients had symptomatic ILAD. Multivariate analysis showed that vessel enhancement and etiological subtypes, not degree of stenosis, determined by high-resolution magnetic resonance imaging and RNF213 gene variant analysis were independently associated with symptomatic ILAD. The presence of the RNF213 variant was also independently associated with recurrent cerebrovascular events. Conclusions: This study demonstrates the prevalence of nonatherosclerotic ILAD in East Asian patients with ILAD. Unlike luminal changes, wall changes determined by high-resolution magnetic resonance imaging and presence of the RNF213 variant could predict stroke occurrence in patients with ILADs.

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