Literature DB >> 29516454

[Moyamoya disease: clinical, neuroradiological, neuropsychological and genetic perspective].

R Espert1, M Gadea1, M Alino1, J Oltra-Cucarella1,2, C Perpina1.   

Abstract

INTRODUCTION: Moyamoya disease (MMD) is an occlusive cerebrovascular disease characterized by progressive stenosis or occlusion in the terminal portion of the bilateral internal carotid arteries, affecting both children and adults. AIM: To conduct a review and update on MMD from a clinical, neuroradiological, neuropsychological and genetic perspective. DEVELOPMENT: In this pathology, which occurs with ischemia or cerebral hemorrhage, an unusual compensatory vascular network (moyamoya vessels) develops at the base of the brain in the form of collateral channels. MMD can present clinically with hemiparesis, dysarthria, aphasia, headache, seizures, visual deficits, syncopes or changes in personality. At the neuropsychological level, and even in the absence of obvious strokes, patients usually present impairment of attention, memory, behavior and executive functions. High resolution angiography and magnetic resonance imaging have been a neuroradiological advance towards an early detection of this disease. At the genetic level, the RING (really interesting new gene) RNF213 has recently been identified, and it is considered the most important genetic risk factor known up to now in the MMD.
CONCLUSIONS: MMD is a rare pathology that predominantly affects the frontal lobes. The genetic and neuroradiological advances, in addition to a cognitive profile, contribute to early diagnosis and treatment to improve the quality of life of these patients.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29516454

Source DB:  PubMed          Journal:  Rev Neurol        ISSN: 0210-0010            Impact factor:   0.870


  2 in total

1.  Aspirin use and platelet aggregation in ischemic onset-type pediatric moyamoya patients with intractable headaches (moya-ache).

Authors:  Yasuo Aihara; Shinobu Kashiwase; Kentaro Chiba; Koji Yamaguchi; Yoshikazu Okada; Toshimi Kimura; Takakazu Kawamata
Journal:  Childs Nerv Syst       Date:  2021-01-06       Impact factor: 1.475

2.  Construction of Diagnosis Model of Moyamoya Disease Based on Convolution Neural Network Algorithm.

Authors:  Xiangcheng Hao; Li Xu; Yin Liu; Cheng Luo; Yiming Yin; Xiao Chen; Xiaoyang Tao
Journal:  Comput Math Methods Med       Date:  2022-07-25       Impact factor: 2.809

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.