Literature DB >> 33178740

Emerging multi-modal diagnostic approaches for moyamoya disease.

Jae W Song1, Zhaoyang Fan2.   

Abstract

Entities:  

Year:  2020        PMID: 33178740      PMCID: PMC7607114          DOI: 10.21037/atm-20-4215

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


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Moyamoya disease (MMD) is a steno-occlusive vasculopathy most commonly affecting the intracranial internal carotid artery terminus. It can lead to hypoperfusion and ischemia due to reduced blood flow in the major vessels of the anterior circulation. Compensatory development of basal, cortical, and leptomeningeal collateral vessels is associated with MMD. Despite compensatory collateralization, up to two thirds of patients with MMD have symptomatic progression over a 5-year period and outcomes are poor without treatment (1,2). Clinical outcome is associated with the neurologic status at the time of treatment (3) and given a 2.6% rate of symptomatic progression after surgical revascularization (4), early diagnosis and therapy are critical for a better prognosis. Angiographic appearances of MMD can be similar to stenosis related to other vasculopathies, such as intracranial atherosclerosis (ICAS), and pose a diagnostic challenge. However, because treatment strategies and prognoses differ between ICAS and MMD, it is important to distinguish these two entities. Multimodal approaches using both structural and physiologic data may be of added value to diagnose and support management strategies. Ya and colleagues investigated the use of combined high-resolution intracranial vessel wall MR imaging (VWI) and pseudo-continuous arterial spin labeling (pCASL) techniques to determine differences in morphologic and perfusional characteristics of ICAS and MMD (5). VWI is a black blood MR imaging technique that has substantially been optimized over the past decade for the intracranial vessels (6). 3D turbo spin-echo with variable refocusing flip angles, which was also used in their work, has become a method of choice for non-invasive assessment of the intracranial vessel wall (7). Compared to conventional vessel imaging techniques that detect changes in lumen diameter, VWI shows changes in the vessel wall itself. pCASL is an MR technique that measures cerebral blood flow (CBF), an important physiologic parameter commonly altered in many cerebrovascular conditions. It is considered the best ASL approach given its higher SNR and tagging efficiency compared to continuous ASL and pulsed ASL, respectively (8). Using both advanced imaging techniques, the authors compared structural and perfusional changes in 20 subjects with ICAS and 20 subjects diagnosed with various stages of MMD. The results showed significantly smaller outer and inner wall diameters and maximum wall thickness, higher mean CBF, cerebral blood volume (CBV), and arterial transit time (ATT), and higher maximum CBF and CBV values in patients diagnosed with MMD than in ICAS. Furthermore, on visual inspection, 14 of 20 MMD patients (Suzuki stages II–V) showed hyper-perfusion spots on the CBF maps. Hyper-perfusion spots were not identified in 6 MMD (Suzuki stage VI) patients nor in the 20 patients diagnosed with ICAS. Based on these results, the authors concluded a multi-modal approach using both VWI and pCASL-MR may help distinguish between these two entities. The results suggest a promising multi-modal diagnostic approach for evaluating MMD versus ICAS. The VWI results are concordant with several other studies showing smaller vessel wall outer and inner wall diameters (9-11). In MMD, the affected arteries reportedly undergo constrictive (inward) remodeling and histopathologic studies also support the finding of reduced outer vessel diameters, thinner media and thicker intima in arteries affected by MMD (12). This remodeling pattern is in contrast to ICAS, which typically has an inflammatory pathogenesis and is associated with positive (outward) remodeling to accommodate plaque development (13). Multi-contrast VWI has also been used to help distinguish among steno-occlusive diseases, including MMD (14). Patterns of eccentric post-contrast enhancement and heterogeneous T2-weighted signal intensity are suggested to increase diagnostic confidence for identifying ICAS (14). Using a multi-contrast VWI protocol to evaluate for additional VWI-based features of wall pathology may be a future consideration. The results from imaging with pCASL-MR also show interesting significant perfusional differences between MMD and ICAS. ASL has been previously used to identify the presence and intensity of collateral perfusion in MMD (15). While both diseases show hypo-perfusion in the territories of the stenotic arteries, the authors also highlight the presence of hyper-perfusion spots in 70% of the MMD cases. No hyper-perfusion spots were identified in the ICAS cases. Among the MMD cases, hyper-perfusion foci were identified only in MMD stages II to V. The absence of hyperperfusion foci in MMD stages I and VI could be explained by the classification criteria of the Suzuki staging system where intracranial collaterals are absent in these very early and advanced stages (16). Thus the authors suggest the hyper-perfusion foci may be associated with moyamoya collateral compensation or microaneurysms of collateral vessels. Future work with a larger sample size and distribution of subjects of various MMD stages would be of value to better understand how the degree of collateralization affects the results. Many different imaging modalities have been investigated to differentiate MMD from other steno-occlusive vasculopathies. The combination of two noninvasive imaging modalities that assess both structural and physiologic changes have strong potential as a diagnostic approach. From these exams, both quantitative and qualitative multiparametric data could further improve diagnostic specificity. Here, the authors address this combined approach and show early promise using this approach to increase diagnostic confidence and accuracy to distinguish MMD from ICAS. The article’s supplementary files as
  16 in total

1.  Added Value of Vessel Wall Magnetic Resonance Imaging in the Differentiation of Moyamoya Vasculopathies in a Non-Asian Cohort.

Authors:  Mahmud Mossa-Basha; Adam de Havenon; Kyra J Becker; Danial K Hallam; Michael R Levitt; Wendy A Cohen; Daniel S Hippe; Matthew D Alexander; David L Tirschwell; Thomas Hatsukami; Catherine Amlie-Lefond; Chun Yuan
Journal:  Stroke       Date:  2016-06-07       Impact factor: 7.914

2.  Arterial spin-labeling MRI can identify the presence and intensity of collateral perfusion in patients with moyamoya disease.

Authors:  Greg Zaharchuk; Huy M Do; Michael P Marks; Jarrett Rosenberg; Michael E Moseley; Gary K Steinberg
Journal:  Stroke       Date:  2011-07-28       Impact factor: 7.914

3.  Outer-diameter narrowing of the internal carotid and middle cerebral arteries in moyamoya disease detected on 3D constructive interference in steady-state MR image: is arterial constrictive remodeling a major pathogenesis?

Authors:  Yasuyuki Kaku; Motohiro Morioka; Yuki Ohmori; Takayuki Kawano; Yutaka Kai; Hirofumi Fukuoka; Toshinori Hirai; Yasuyuki Yamashita; Jun-ichi Kuratsu
Journal:  Acta Neurochir (Wien)       Date:  2012-08-31       Impact factor: 2.216

4.  Incidence and clinical features of disease progression in adult moyamoya disease.

Authors:  Satoshi Kuroda; Tatsuya Ishikawa; Kiyohiro Houkin; Rina Nanba; Masaaki Hokari; Yoshinobu Iwasaki
Journal:  Stroke       Date:  2005-09-22       Impact factor: 7.914

5.  Moyamoya disease--a review.

Authors:  J Suzuki; N Kodama
Journal:  Stroke       Date:  1983 Jan-Feb       Impact factor: 7.914

6.  Natural history of moyamoya disease: comparison of activity of daily living in surgery and non surgery groups.

Authors:  J U Choi; D S Kim; E Y Kim; K C Lee
Journal:  Clin Neurol Neurosurg       Date:  1997-10       Impact factor: 1.876

7.  Patterns and Implications of Intracranial Arterial Remodeling in Stroke Patients.

Authors:  Ye Qiao; Zeeshan Anwar; Jarunee Intrapiromkul; Li Liu; Steven R Zeiler; Richard Leigh; Yiyi Zhang; Eliseo Guallar; Bruce A Wasserman
Journal:  Stroke       Date:  2016-01-07       Impact factor: 7.914

8.  High-resolution magnetic resonance wall imaging findings of Moyamoya disease.

Authors:  Sookyung Ryoo; Jihoon Cha; Suk Jae Kim; Jin Wook Choi; Chang-Seok Ki; Keon Ha Kim; Pyoung Jeon; Jong-Soo Kim; Seung-Chyul Hong; Oh Young Bang
Journal:  Stroke       Date:  2014-06-19       Impact factor: 7.914

Review 9.  Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia.

Authors:  David C Alsop; John A Detre; Xavier Golay; Matthias Günther; Jeroen Hendrikse; Luis Hernandez-Garcia; Hanzhang Lu; Bradley J MacIntosh; Laura M Parkes; Marion Smits; Matthias J P van Osch; Danny J J Wang; Eric C Wong; Greg Zaharchuk
Journal:  Magn Reson Med       Date:  2014-04-08       Impact factor: 4.668

10.  High-resolution combined arterial spin labeling MR for identifying cerebral arterial stenosis induced by moyamoya disease or atherosclerosis.

Authors:  Jingyuan Ya; Da Zhou; Jiayue Ding; Yuchuan Ding; Xunming Ji; Qi Yang; Ran Meng
Journal:  Ann Transl Med       Date:  2020-02
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