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儿童双侧基底节疾病的磁共振成像模式识别

Magnetic resonance imaging pattern recognition in childhood bilateral basal ganglia disorders.

作者信息

Mohammad Shekeeb S, Angiti Rajeshwar Reddy, Biggin Andrew, Morales-Briceño Hugo, Goetti Robert, Perez-Dueñas Belen, Gregory Allison, Hogarth Penelope, Ng Joanne, Papandreou Apostolos, Bhattacharya Kaustuv, Rahman Shamima, Prelog Kristina, Webster Richard I, Wassmer Evangeline, Hayflick Susan, Livingston John, Kurian Manju, Chong W Kling, Dale Russell C

机构信息

Kids Neuroscience Centre, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia.

TY Nelson Department of Neurology and Neurosurgery, The Children's Hospital at Westmead, Sydney, Australia.

出版信息

Brain Commun. 2020 Oct 26;2(2):fcaa178. doi: 10.1093/braincomms/fcaa178. eCollection 2020.

DOI:10.1093/braincomms/fcaa178
PMID:33629063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7891249/
Abstract

Bilateral basal ganglia abnormalities on MRI are observed in a wide variety of childhood disorders. MRI pattern recognition can enable rationalization of investigations and also complement clinical and molecular findings, particularly confirming genomic findings and also enabling new gene discovery. A pattern recognition approach in children with bilateral basal ganglia abnormalities on brain MRI was undertaken in this international multicentre cohort study. Three hundred and five MRI scans belonging to 201 children with 34 different disorders were rated using a standard radiological scoring proforma. In addition, literature review on MRI patterns was undertaken in these 34 disorders and 59 additional disorders reported with bilateral basal ganglia MRI abnormalities. Cluster analysis on first MRI findings from the study cohort grouped them into four clusters: Cluster 1-T-weighted hyperintensities in the putamen; Cluster 2-T-weighted hyperintensities or increased MRI susceptibility in the globus pallidus; Cluster 3-T-weighted hyperintensities in the globus pallidus, brainstem and cerebellum with diffusion restriction; Cluster 4-T-weighted hyperintensities in the basal ganglia. The 34 diagnostic categories included in this study showed dominant clustering in one of the above four clusters. Inflammatory disorders grouped together in Cluster 1. Mitochondrial and other neurometabolic disorders were distributed across clusters 1, 2 and 3, according to lesions dominantly affecting the (Cluster 1: glutaric aciduria type 1, propionic acidaemia, 3-methylglutaconic aciduria with deafness, encephalopathy and Leigh-like syndrome and thiamine responsive basal ganglia disease associated with ), pallidum (Cluster 2: methylmalonic acidaemia, Kearns Sayre syndrome, pyruvate dehydrogenase complex deficiency and succinic semialdehyde dehydrogenase deficiency) or pallidum, brainstem and cerebellum (Cluster 3: vigabatrin toxicity, Krabbe disease). The Cluster 4 pattern was exemplified by distinct T-weighted hyperintensities in the basal ganglia and other brain regions in genetically determined hypermanganesemia due to and . Within the clusters, distinctive basal ganglia MRI patterns were noted in acquired disorders such as cerebral palsy due to hypoxic ischaemic encephalopathy in full-term babies, kernicterus and vigabatrin toxicity and in rare genetic disorders such as 3-methylglutaconic aciduria with deafness, encephalopathy and Leigh-like syndrome, thiamine responsive basal ganglia disease, pantothenate kinase-associated neurodegeneration, and hypermanganesemia. Integrated findings from the study cohort and literature review were used to propose a diagnostic algorithm to approach bilateral basal ganglia abnormalities on MRI. After integrating clinical summaries and MRI findings from the literature review, we developed a prototypic decision-making electronic tool to be tested using further cohorts and clinical practice.

摘要

在多种儿童疾病中均观察到MRI显示双侧基底节异常。MRI模式识别有助于合理安排检查,补充临床和分子检查结果,特别是在证实基因组检查结果以及发现新基因方面。本国际多中心队列研究采用模式识别方法,对脑MRI显示双侧基底节异常的儿童进行研究。使用标准放射学评分表对201名患有34种不同疾病的儿童的305份MRI扫描进行评分。此外,对这34种疾病以及另外59种报告有双侧基底节MRI异常的疾病进行了MRI模式的文献综述。对研究队列的首次MRI检查结果进行聚类分析,将其分为四类:第1类——壳核T加权高信号;第2类——苍白球T加权高信号或MRI磁化率增加;第3类——苍白球、脑干和小脑T加权高信号伴弥散受限;第4类——基底节T加权高信号。本研究纳入的34种诊断类别在上述四类中呈现出主要聚类情况。炎症性疾病聚集在第1类。线粒体和其他神经代谢性疾病根据主要受累部位分布在第1、2和3类中,受累部位为壳核(第1类:戊二酸血症1型、丙酸血症、伴有耳聋、脑病和Leigh样综合征的3 -甲基戊二酸尿症以及与……相关的硫胺反应性基底节疾病)、苍白球(第2类:甲基丙二酸血症、Kearns Sayre综合征、丙酮酸脱氢酶复合物缺乏症和琥珀酸半醛脱氢酶缺乏症)或苍白球、脑干和小脑(第3类:氨己烯酸毒性、克拉伯病)。第4类模式以……和……导致的遗传性高锰血症中基底节及其他脑区明显的T加权高信号为代表。在各类中,在获得性疾病如足月婴儿缺氧缺血性脑病所致的脑瘫、核黄疸和氨己烯酸毒性以及罕见的遗传性疾病如伴有耳聋、脑病和Leigh样综合征的3 -甲基戊二酸尿症、硫胺反应性基底节疾病、泛酸激酶相关神经变性、……和高锰血症中,均观察到了独特的基底节MRI模式。研究队列和文献综述的综合结果被用于提出一种针对MRI显示双侧基底节异常的诊断算法。在整合文献综述中的临床总结和MRI检查结果后,我们开发了一种原型决策电子工具,以待在更多队列和临床实践中进行测试。

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