Quantitative MRI in CADASIL: Correlation with disability and cognitive performance
Abstract
OBJECTIVE: To study correlations between total lesion load on brain MRI and clinical features, and to evaluate the influence of demographic variables on quantitative MRI variables in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). BACKGROUND: CADASIL is a hereditary form of small-vessel disease caused by mutations within the Notch3 gene. MRI abnormalities have been found both in asymptomatic and symptomatic CADASIL individuals. METHODS: Quantitative measurements on cerebral MRI were performed in 64 CADASIL individuals. MRI lesions were quantified using a semi-automated segmentation technique based on local thresholds. RESULTS: MRI total lesion volume correlated significantly with disability (Rankin Scale) on both T1- and proton density (PD)-weighted images. There was a significant inverse correlation between total lesion volume and overall cognitive performance as determined by the Mini-Mental State Examination. Age but not sex was correlated with lesion load both on T1- and PD-weighted images. There was no detectable influence of the Notch3 genotype on quantitative MRI variables. CONCLUSIONS: This study demonstrates correlations between MRI lesion volume and clinical characteristics in CADASIL. Longitudinal studies are now warranted to investigate whether quantitative MRI could be used as an adjunct outcome measure in future therapeutic trials in CADASIL.
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Overall lesion load on T1-weighted MRI is associated with global disability, often measured by the modified Rankin Scale, and with performance on different cognitive domains in CADASIL.
“The overall lesion load observed on T1-weighted MR images has been associated with the degree of global disability, often quantified using the modified Rankin Scale [4], and with performance on different cognitive domains [18, 76].”
From Clinical and research applications of magnetic resonance imaging in the study of CADASIL (2019) · cites this paper as [18]
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“As reported for other small-vessel diseases, the extent of these MRI signal abnormalities cannot predict the clinical severity [9,10].”
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Lee, J. H., Bacskai, B. J., & Ayata, C. (2011) · Progress in molecular biology and translational science · doi:10.1016/b978-0-12-394596-9.00002-0 · Cited by 21 · see citing works
“It has been difficult to characterize genotype–phenotype correlations, because marked phenotypic heterogeneity exists among CADASIL families and even among the affected members of a single family.(177,178) It is possible that the presence of common vascular risk factors or polymorphisms in other genes that modulate NO…”
BackgroundFormes pauci symptomatiques de CADASIL après 60 ans
Mourad, A., Levasseur, M., Bousser, M., & Chabriat, H. (2006) · Revue Neurologique · doi:10.1016/s0035-3787(06)75085-8 · Cited by 20 · see citing works
CADASIL as a useful medical model and genetic form of vascular depression
Park, J. H., Jeon, B.-H., Lee, J. S., Newhouse, P. A., Taylor, W. D., Boyd, B. D., Kim, K. W., & Kim, M.-D. (2017) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2017.03.013 · Cited by 22 · see citing works
WMH Contributions to Cognitive Impairment: Rationale and Design of the Diverse VCID Study
DeCarli, C. S., Rajan, K. B., Jin, L., Hinman, J. D., Johnson, D. K., Harvey, D. J., Fornage, M., Beiser, A., Gonzalez, H., Kukull, W. A., et al. (2024) · Stroke · doi:10.1161/strokeaha.124.045903 · Cited by 20 · see citing works
Uyguner, Z. O., Sıva, A., Kayserili, H., Saip, S., Altıntaş, A., Apak, M. Y., Albayram, S., Işik, N., Akman‐Demir, G., Taşyürekli, M., et al. (2006) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2006.02.021 · Cited by 19 · see citing works
“Similarly, phenotypic variation was shown both within families and between families of Finnish origin for R133C mutation and the lack of genotype–phenotype relationships in CADASIL was acknowledged by previous studies [15,23–25].”
ResultCADASIL and genetics of cerebral ischaemia
Kalaria, R. N., Low, W.-C., Oakley, A. E., Slade, J. Y., Ince, P. G., Morris, C. M., & Mizuno, T. (2002) · Springer eBooks · doi:10.1007/978-3-7091-6137-1_5 · Cited by 19 · see citing works
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Protein O-Fucosyltransferases: Biological Functions and Molecular Mechanisms in Mammals
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Correlation of cognitive status, MRI‐ and SPECT‐imaging in CADASIL patients
Scheid, R., Preul, C., Lincke, T., Matthes, G. Z., Schroeter, M. L., Guthke, T., von Cramon, D. Y., & Sabri, O. (2006) · European Journal of Neurology · doi:10.1111/j.1468-1331.2006.01245.x · Cited by 16 · see citing works
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Dichgans, M., Pütz, B., Boos, D., & Auer, D. P. (2003) · PubMed Central · Cited by 14 · see citing works
Self-citationKarvelas, N., Oh, B. C., Wang, E., Cobigo, Y., Tsuei, T., Fitzsimons, S., Younes, K., Ehrenberg, A. J., Geschwind, M. D., Schwartz, D., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae071 · Cited by 16 · see citing works
NOTCH3 gene mutations in subjects clinically suspected of CADASIL
Mosca, L., Marazzi, R., Ciccone, A., Santilli, I. M., Bersano, A., Sansone, V., Grosso, E., Mandrile, G., Giachino, D. F., Adobbati, L., et al. (2011) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2011.04.019 · Cited by 14 · see citing works
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Report of two Chinese families and a review of Mainland Chinese CADASIL patients
Yin, X., Ding, M., Zhang, B., Liu, J., Zhang, L., Wang, P., Zhou, F., & Zhao, G. (2009) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2008.12.011 · Cited by 11 · see citing works
Vascular cognitive impairment: prodrome to VaD?
Mayda, A., & DeCarli, C. (2009) · Vascular Cognitive Impairment in Clinical Practice · doi:10.1017/cbo9780511575976.003 · Cited by 7 · see citing works
Genetics of Ischaemic Stroke; Single Gene Disorders
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Cognitive and neuroimaging profile of a Brazilian family with CADASIL
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Diagnosis, pathomechanism and treatment of CADASIL
Mizuno, T. (2012) · Rinsho Shinkeigaku · doi:10.5692/clinicalneurol.52.303 · Cited by 7 · see citing works
Gong, Z., Wang, W., Zhao, Y., Wang, Y., Sun, R., Zhang, H., Wang, F., Lu, Y., & Zhang, J. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1391040 · Cited by 6 · see citing works
Hallazgos clínicos y de neuroimagen en una familia con CADASIL asociada a la mutación C475T
Sempere, Á. P., Pérez‐Tur, J., Barragán, N. G., Martínez, J. S., Martínez, V. M., & de Rodas, S. M. C. (2004) · Revista de Neurología · doi:10.33588/rn.3801.2003328 · Cited by 6 · see citing works
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A Japanese Case of CADASIL with a Rare Mutation in Exon 24 of the NOTCH3 Gene
Ebihara, Y., Mochizuki, H., Ishii, N., Mizuta, I., Shiomi, K., Mizuno, T., & Nakazato, M. (2018) · Internal Medicine · doi:10.2169/internalmedicine.0723-17 · Cited by 4 · see citing works
“The relationship between the genotype and phenotype of NOTCH3 mutations has been thought to be weak (7, 11).”
BackgroundBrain MRI in Monogenic Cerebral Small Vessel Diseases: A Practical Handbook
Ulivi, L., Cosottini, M., Migaleddu, G., Orlandi, G., Giannini, N., Siciliano, G., & Mancuso, M. (2021) · Current Molecular Medicine · doi:10.2174/1566524021666210510164003 · Cited by 3 · see citing works
CEREBRAL AUTOSOMAL DOMINANT ARTERIOPATHY WITH SUBCORTICAL INFARCTS AND LEUKOENCEPHALOPATHY (CADASIL)
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Neuroradiologische Aspekte bei Encephalitis disseminata
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Dementia and management of vascular cognitive impairment
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Clinicogenetic and Pathologic Characteristics of CADASIL
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A Chinese CADASIL family with p.R578C mutation at exon 11 of the NOTCH3 gene
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CADASIL: a genetic model of arteriolar degeneration, white matter injury and dementia in later life
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CADASIL: a genetic model of arteriolar degeneration, white matter injury, and dementia in later life
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Magnetic resonance imaging characteristics of CADASIL
van den Boom, R. (2006)
- Authors
- Dichgans, M., Filippi, M., Brüning, R., Iannucci, G., Berchtenbreiter, C., Minicucci, L., Uttner, I., Crispin, A., Ludwig, H., Gasser, T., & Yousry, T. A.
- Affiliations
- University of Milan (IT)
- From the Departments of Neurology (Drs. DichgansUttner, and Gasser, and H. Ludwig), Medical Informatics, Biometry, and Epidemiology (A. Crispin), and Neuroradiology (Dr. Yousry), Klinikum Grosshadern, Ludwig-Maximilians-University, Munich, Germany; the Neuroimaging Research Unit (Drs. Filippi, Iannucci, and Minicucci), Department of Neuroscience, Scientific Institute Ospedale San Raffaele, University of Milan, Italy; and the Institute for Diagnostic Radiology (Drs. Brüning and Berchtenbreiter),...
- Venue
- Neurology
- Published
- 1999-04
- Volume
- 52
- Issue
- 7
- Pages
- 1361-1361
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2150080259
- Cited by
- 120
- References
- 31
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 3 · 2021: 3 · 2020: 2 · 2019: 3 · 2018: 2 · 2017: 4 · 2016: 3 · 2015: 1 · 2014: 4 · 2013: 6 · 2012: 3
- FWCI
- 5.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Neurology › Cerebrovascular and genetic disorders
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Genetic Neurodegenerative Diseases
- Keywords
- CADASIL, NOTCH3 gene, cerebral small vessel disease, quantitative MRI, lesion volume, T1-weighted imaging, proton density-weighted imaging, disability, cognitive performance, outcome measures
- MeSH terms
- Adult, Aged, Brain, Cerebral Arterial Diseases, Cerebral Infarction, Cognition, Disability Evaluation, Female, Humans, Leukoencephalopathy, Progressive Multifocal, Magnetic Resonance Imaging, Male, Middle Aged
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