Deep Gray Matter Iron Deposition and Its Relationship to Clinical Features in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy Patients: A 7.0-T Magnetic Resonance Imaging Study.


Journal

Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266

Informations de publication

Date de publication:
06 2020
Historique:
pubmed: 14 5 2020
medline: 15 9 2020
entrez: 14 5 2020
Statut: ppublish

Résumé

Background and Purpose- Distribution patterns of iron deposition in deep gray matter and their association with clinical characteristics in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) remain unclear. We aimed to evaluate iron deposition in deep gray matter in patients with CADASIL using 7.0-T susceptibility-weighted imaging and mapping and to explore its correlations with clinical characteristics. Methods- Thirty-nine patients with CADASIL, confirmed via genetic analysis or skin biopsy, were enrolled. We examined patients using the Mini-Mental State Examination, modified Rankin Scale, and brain 7.0-T magnetic resonance imaging and obtained magnetic resonance imaging lesion loads, small vessel disease scores, and susceptibility mapping. The following regions of interest were selected: caudate nucleus, putamen, globus pallidus, thalamus, substantia nigra, and red nucleus. The quantitative differences in the susceptibility of deep gray matter between the CADASIL and control groups and the correlations between deep gray matter susceptibility and clinical characteristics were identified. Results- Compared with the control group, the CADASIL group showed significantly increased susceptibility of caudate nucleus, putamen, thalamus, substantia nigra, and red nucleus. The susceptibility of deep gray matter in basal ganglia region, including caudate nucleus, putamen, and thalamus, significantly increased with age or disease duration and positively correlated with small vessel disease scores in patients with CADASIL. Moreover, the susceptibility of thalamus positively correlated with modified Rankin Scale scores after adjusting for age and disease duration and that of putamen negatively correlated with Mini-Mental State Examination scores in patients with CADASIL after adjusting for age. Conclusions- Our findings indicate an association between abnormal iron deposition in deep gray matter of patients with CADASIL and their clinical characteristics. Therefore, excess iron deposition in deep gray matter, as indicated by 7.0-T susceptibility-weighted imaging and mapping, might not only be a novel magnetic resonance imaging feature but also a potential biomarker for CADASIL severity.

Identifiants

pubmed: 32397933
doi: 10.1161/STROKEAHA.119.028812
doi:

Substances chimiques

Iron E1UOL152H7

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1750-1757

Auteurs

Chengyue Sun (C)

From the Department of Neurology, Peking University First Hospital, Beijing, China (C.S., C.L., Z.X., Y.S., W.Z., Z.W., Y.Y.).

Yue Wu (Y)

State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, China (Y.W., Q.K., Z.Z.).
University of Chinese Academy of Sciences, Beijing, China (Y.W., Q.K., Z.Z.).

Chen Ling (C)

From the Department of Neurology, Peking University First Hospital, Beijing, China (C.S., C.L., Z.X., Y.S., W.Z., Z.W., Y.Y.).

Zhiying Xie (Z)

From the Department of Neurology, Peking University First Hospital, Beijing, China (C.S., C.L., Z.X., Y.S., W.Z., Z.W., Y.Y.).

Qingle Kong (Q)

State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, China (Y.W., Q.K., Z.Z.).
University of Chinese Academy of Sciences, Beijing, China (Y.W., Q.K., Z.Z.).

Xiaojing Fang (X)

Department of Neurology, Peking University International Hospital, Beijing, China (X.F.).

Jing An (J)

Siemens Shenzhen Magnetic Resonance Ltd, China (J.A.).

Yunchuang Sun (Y)

From the Department of Neurology, Peking University First Hospital, Beijing, China (C.S., C.L., Z.X., Y.S., W.Z., Z.W., Y.Y.).

Wei Zhang (W)

From the Department of Neurology, Peking University First Hospital, Beijing, China (C.S., C.L., Z.X., Y.S., W.Z., Z.W., Y.Y.).

Qi Yang (Q)

Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China (Q.Y.).

Zhaoxia Wang (Z)

From the Department of Neurology, Peking University First Hospital, Beijing, China (C.S., C.L., Z.X., Y.S., W.Z., Z.W., Y.Y.).

Zihao Zhang (Z)

State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, China (Y.W., Q.K., Z.Z.).
University of Chinese Academy of Sciences, Beijing, China (Y.W., Q.K., Z.Z.).

Yun Yuan (Y)

From the Department of Neurology, Peking University First Hospital, Beijing, China (C.S., C.L., Z.X., Y.S., W.Z., Z.W., Y.Y.).

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Classifications MeSH