Literature DB >> 29400120

Clinical correlates of longitudinal MRI changes in CADASIL.

Yifeng Ling1,2, François De Guio1,3, Eric Jouvent1,3, Marco Duering4, Dominique Hervé1,3, Jean Pierre Guichard1, Ophélia Godin3, Martin Dichgans4,5, Hugues Chabriat1,3.   

Abstract

Previous studies showed that various types of cerebral lesions, as assessed on MRI, largely contribute to the clinical severity of CADASIL. However, the clinical impact of longitudinal changes of classical markers of small vessel disease on conventional MRI has been only poorly investigated. One hundred sixty NOTCH3 mutation carriers (mean age ± SD, 49.8 ± 10.9 years) were followed over three years. Validated methods were used to determine the percent brain volume change (PBVC), number of incident lacunes, change of volume of white matter hyperintensities and change of number of cerebral microbleeds. Multivariable logistic regression analyses were performed to assess the independent association between changes of these MRI markers and incident clinical events. Mixed-effect multiple linear regression analyses were used to assess their association with changes of clinical scales. Over a mean period of 3.1 ± 0.2 years, incident lacunes are found independently associated with incident stroke and change of Trail Making Test Part B. PBVC is independently associated with all incident events and clinical scale changes except the modified Rankin Scale at three years. Our results suggest that, on conventional MRI, PBVC and the number of incident lacunes are the most sensitive and independent correlates of clinical worsening over three years in CADASIL.

Entities:  

Keywords:  Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy; cerebral atrophy; cerebral small vessel disease; lacunes; magnetic resonance imaging

Mesh:

Substances:

Year:  2018        PMID: 29400120      PMCID: PMC6668524          DOI: 10.1177/0271678X18757875

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  27 in total

1.  Accurate, robust, and automated longitudinal and cross-sectional brain change analysis.

Authors:  Stephen M Smith; Yongyue Zhang; Mark Jenkinson; Jacqueline Chen; P M Matthews; Antonio Federico; Nicola De Stefano
Journal:  Neuroimage       Date:  2002-09       Impact factor: 6.556

2.  Brain volume changes in CADASIL: a serial MRI study in pure subcortical ischemic vascular disease.

Authors:  N Peters; M Holtmannspötter; C Opherk; A Gschwendtner; J Herzog; P Sämann; M Dichgans
Journal:  Neurology       Date:  2006-05-23       Impact factor: 9.910

3.  Cortical neuronal apoptosis in CADASIL.

Authors:  Anand Viswanathan; Francoise Gray; Marie-Germaine Bousser; Marielle Baudrimont; Hugues Chabriat
Journal:  Stroke       Date:  2006-09-28       Impact factor: 7.914

4.  Blood pressure and haemoglobin A1c are associated with microhaemorrhage in CADASIL: a two-centre cohort study.

Authors:  Anand Viswanathan; Jean-Pierre Guichard; Andreas Gschwendtner; Frederique Buffon; Rodica Cumurcuic; Carole Boutron; Eric Vicaut; Markus Holtmannspötter; Chahin Pachai; Marie-Germaine Bousser; Martin Dichgans; Hugues Chabriat
Journal:  Brain       Date:  2006-07-14       Impact factor: 13.501

5.  Incidence and risk factors of silent brain infarcts in the population-based Rotterdam Scan Study.

Authors:  Sarah E Vermeer; Tom Den Heijer; Peter J Koudstaal; Matthijs Oudkerk; Albert Hofman; Monique M B Breteler
Journal:  Stroke       Date:  2003-02       Impact factor: 7.914

6.  Incidence, manifestations, and predictors of brain infarcts defined by serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study.

Authors:  W T Longstreth; Corinne Dulberg; Teri A Manolio; Michael R Lewis; Norman J Beauchamp; Daniel O'Leary; Jeff Carr; Curt D Furberg
Journal:  Stroke       Date:  2002-10       Impact factor: 7.914

7.  MRI correlates of cognitive decline in CADASIL: a 7-year follow-up study.

Authors:  M K Liem; S A J Lesnik Oberstein; J Haan; I L van der Neut; M D Ferrari; M A van Buchem; H A M Middelkoop; J van der Grond
Journal:  Neurology       Date:  2009-01-13       Impact factor: 9.910

8.  Impact of MRI markers in subcortical vascular dementia: a multi-modal analysis in CADASIL.

Authors:  Anand Viswanathan; Ophelia Godin; Eric Jouvent; Michael O'Sullivan; Andreas Gschwendtner; Nils Peters; Marco Duering; Jean-Pierre Guichard; Markus Holtmannspötter; Carole Dufouil; Chahin Pachai; Marie-Germaine Bousser; Martin Dichgans; Hugues Chabriat
Journal:  Neurobiol Aging       Date:  2008-10-15       Impact factor: 4.673

9.  Brain atrophy is related to lacunar lesions and tissue microstructural changes in CADASIL.

Authors:  Eric Jouvent; Anand Viswanathan; Jean-François Mangin; Mike O'Sullivan; Jean-Pierre Guichard; Andreas Gschwendtner; Rodica Cumurciuc; Frédérique Buffon; Nils Peters; Chahin Pachaï; Marie-Germaine Bousser; Martin Dichgans; Hugues Chabriat
Journal:  Stroke       Date:  2007-04-19       Impact factor: 7.914

10.  Imaging cerebral atrophy: normal ageing to Alzheimer's disease.

Authors:  Nick C Fox; Jonathan M Schott
Journal:  Lancet       Date:  2004-01-31       Impact factor: 79.321

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  6 in total

Review 1.  Incident cerebral lacunes: A review.

Authors:  Yifeng Ling; Hugues Chabriat
Journal:  J Cereb Blood Flow Metab       Date:  2020-03-03       Impact factor: 6.200

2.  Brain atrophy in cerebral small vessel diseases: Extent, consequences, technical limitations and perspectives: The HARNESS initiative.

Authors:  François De Guio; Marco Duering; Franz Fazekas; Frank-Erik De Leeuw; Steven M Greenberg; Leonardo Pantoni; Agnès Aghetti; Eric E Smith; Joanna Wardlaw; Eric Jouvent
Journal:  J Cereb Blood Flow Metab       Date:  2019-11-20       Impact factor: 6.200

Review 3.  Clinical and research applications of magnetic resonance imaging in the study of CADASIL.

Authors:  Dorothee Schoemaker; Yakeel T Quiroz; Heirangi Torrico-Teave; Joseph F Arboleda-Velasquez
Journal:  Neurosci Lett       Date:  2019-01-08       Impact factor: 3.046

4.  Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL.

Authors:  Chih-Hao Chen; Yu-Wen Cheng; Ya-Fang Chen; Sung-Chun Tang; Jiann-Shing Jeng
Journal:  J Neuroinflammation       Date:  2020-04-22       Impact factor: 8.322

5.  Apolipoprotein E ε4 Is Associated With the Development of Incident Dementia in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy Patients With p.Arg544Cys Mutation.

Authors:  Jung Seok Lee; Keun Hyuk Ko; Jung-Hwan Oh; Joong-Goo Kim; Chul-Hoo Kang; Sook-Keun Song; Sa-Yoon Kang; Ji-Hoon Kang; Joon Hyuk Park; Myeong Ju Koh; Ho Kyu Lee; Jay Chol Choi
Journal:  Front Aging Neurosci       Date:  2020-11-20       Impact factor: 5.750

6.  CADASIL-like leukodystrophy and symptomatic cerebral infarction in myotonic dystrophy type 1.

Authors:  Bin Liu; Chun-Lin Yang; Xiao-Li Li; Min Zhang; Yan-Bin Li; Rui-Sheng Duan
Journal:  CNS Neurosci Ther       Date:  2022-07-03       Impact factor: 7.035

  6 in total

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