Literature DB >> 30311053

The role of clinical and neuroimaging features in the diagnosis of CADASIL.

Anna Bersano1, Gloria Bedini2, Hugh Stephen Markus3, Paolo Vitali4, Enrico Colli-Tibaldi4, Franco Taroni5, Cinzia Gellera5, Silvia Baratta5, Lorena Mosca6, Paola Carrera7, Maurizio Ferrari7, Cristina Cereda8, Gaetano Grieco8, Silvia Lanfranconi9, Franca Mazucchelli10, Davide Zarcone10, Maria Luisa De Lodovici11, Giorgio Bono11, Giorgio Battista Boncoraglio12, Eugenio Agostino Parati12, Maria Vittoria Calloni13, Patrizia Perrone13, Bianca Maria Bordo14, Cristina Motto15, Elio Agostoni15, Alessandro Pezzini16, Alessandro Padovani16, Giuseppe Micieli17, Anna Cavallini17, Graziella Molini18, Francesco Sasanelli18, Maria Sessa19, Giancarlo Comi19, Nicoletta Checcarelli20, Massimo Carmerlingo21, Manuel Corato22, Simona Marcheselli22, Laura Fusi23, Giampiero Grampa23, Davide Uccellini24, Simone Beretta25, Carlo Ferrarese25, Barbara Incorvaia26, Carlo Sebastiano Tadeo26, Laura Adobbati27, Vincenzo Silani27, Giuseppe Faragò28, Nadia Trobia12, Caspar Grond-Ginsbach29, Livia Candelise9.   

Abstract

BACKGROUND: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common familial cerebral small vessel disease, caused by NOTCH3 gene mutations. The aim of our study was to identify clinical and neuroradiological features which would be useful in identifying which patients presenting with lacunar stroke and TIA are likely to have CADASIL.
METHODS: Patients with lacunar stroke or TIA were included in the present study. For each patient, demographic and clinical data were collected. MRI images were centrally analysed for the presence of lacunar infarcts, microbleeds, temporal lobe involvement, global atrophy and white matter hyperintensities.
RESULTS: 128 patients (mean age 56.3 ± 12.4 years) were included. A NOTCH3 mutation was found in 12.5% of them. A family history of stroke, the presence of dementia and external capsule lesions on MRI were the only features significantly associated with the diagnosis of CADASIL. Although thalamic, temporal pole gliosis and severe white matter hyperintensities were less specific for CADASIL diagnosis, the combination of a number of these factors together with familial history for stroke result in a higher positive predictive value and specificity.
CONCLUSIONS: A careful familial history collection and neuroradiological assessment can identify patients in whom NOTCH3 genetic testing has a higher yield.

Entities:  

Keywords:  CADASIL; Diagnosis; Monogenic disorders; NOTCH3 gene; Neuroimaging; Stroke genetics

Mesh:

Substances:

Year:  2018        PMID: 30311053     DOI: 10.1007/s00415-018-9072-8

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  29 in total

1.  Clinical Pregenetic Screening for Stroke Monogenic Diseases: Results From Lombardia GENS Registry.

Authors:  Anna Bersano; Hugh Stephen Markus; Silvana Quaglini; Eloisa Arbustini; Silvia Lanfranconi; Giuseppe Micieli; Giorgio B Boncoraglio; Franco Taroni; Cinzia Gellera; Silvia Baratta; Silvana Penco; Lorena Mosca; Maurizia Grasso; Paola Carrera; Maurizio Ferrari; Cristina Cereda; Gaetano Grieco; Stefania Corti; Dario Ronchi; Maria Teresa Bassi; Laura Obici; Eugenio A Parati; Alessando Pezzini; Maria Luisa De Lodovici; Elena P Verrengia; Giorgio Bono; Francesca Mazucchelli; Davide Zarcone; Maria Vittoria Calloni; Patrizia Perrone; Bianca Maria Bordo; Antonio Colombo; Alessandro Padovani; Anna Cavallini; Simone Beretta; Carlo Ferrarese; Cristina Motto; Elio Agostoni; Graziella Molini; Francesco Sasanelli; Manuel Corato; Simona Marcheselli; Maria Sessa; Giancarlo Comi; Nicoletta Checcarelli; Mario Guidotti; Davide Uccellini; Erminio Capitani; Lucia Tancredi; Marco Arnaboldi; Barbara Incorvaia; Carlo Sebastiano Tadeo; Laura Fusi; Giampiero Grampa; Giampaolo Merlini; Nadia Trobia; Giacomo Pietro Comi; Massimiliano Braga; Paolo Vitali; Pierluigi Baron; Caspar Grond-Ginsbach; Livia Candelise
Journal:  Stroke       Date:  2016-05-31       Impact factor: 7.914

2.  MRI hyperintensities of the temporal lobe and external capsule in patients with CADASIL.

Authors:  M O'Sullivan; J M Jarosz; R J Martin; N Deasy; J F Powell; H S Markus
Journal:  Neurology       Date:  2001-03-13       Impact factor: 9.910

3.  Patterns of MRI lesions in CADASIL.

Authors:  H Chabriat; C Levy; H Taillia; M T Iba-Zizen; K Vahedi; A Joutel; E Tournier-Lasserve; M G Bousser
Journal:  Neurology       Date:  1998-08       Impact factor: 9.910

4.  Predictors of Clinical Worsening in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy: Prospective Cohort Study.

Authors:  Hugues Chabriat; Dominique Hervé; Marco Duering; Ophelia Godin; Eric Jouvent; Christian Opherk; Nassira Alili; Sonia Reyes; Aude Jabouley; Nikola Zieren; Jean-Pierre Guichard; Chahin Pachai; Eric Vicaut; Martin Dichgans
Journal:  Stroke       Date:  2015-11-17       Impact factor: 7.914

5.  Differential lesion patterns in CADASIL and sporadic subcortical arteriosclerotic encephalopathy: MR imaging study with statistical parametric group comparison.

Authors:  D P Auer; B Pütz; C Gössl; G Elbel; T Gasser; M Dichgans
Journal:  Radiology       Date:  2001-02       Impact factor: 11.105

6.  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

7.  Clinical, familial, and neuroimaging features of CADASIL-like patients.

Authors:  S Nannucci; F Pescini; B Bertaccini; S Bianchi; L Ciolli; R Valenti; M T Dotti; A Federico; D Inzitari; L Pantoni
Journal:  Acta Neurol Scand       Date:  2014-08-11       Impact factor: 3.209

8.  MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging.

Authors:  F Fazekas; J B Chawluk; A Alavi; H I Hurtig; R A Zimmerman
Journal:  AJR Am J Roentgenol       Date:  1987-08       Impact factor: 3.959

9.  Comparison of clinical, familial, and MRI features of CADASIL and NOTCH3-negative patients.

Authors:  L Pantoni; F Pescini; S Nannucci; C Sarti; S Bianchi; M T Dotti; A Federico; D Inzitari
Journal:  Neurology       Date:  2010-01-05       Impact factor: 9.910

10.  The comparisons of phenotype and genotype between CADASIL and CADASIL-like patients and population-specific evaluation of CADASIL scale in China.

Authors:  Dan He; Daiqi Chen; Xuefei Li; Zheng Hu; Zhiyuan Yu; Wei Wang; Xiang Luo
Journal:  J Headache Pain       Date:  2016-05-20       Impact factor: 7.277

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  7 in total

Review 1.  Heritable and non-heritable uncommon causes of stroke.

Authors:  A Bersano; M Kraemer; A Burlina; M Mancuso; J Finsterer; S Sacco; C Salvarani; L Caputi; H Chabriat; S Lesnik Oberstein; A Federico; E Tournier Lasserve; D Hunt; M Dichgans; M Arnold; S Debette; H S Markus
Journal:  J Neurol       Date:  2020-04-21       Impact factor: 4.849

2.  Ataxia Associated with CADASIL: a Pathology-Confirmed Case Report and Literature Review.

Authors:  Don Gueu Park; Je Hong Min; Seong Hyang Sohn; Young Bae Sohn; Jung Han Yoon
Journal:  Cerebellum       Date:  2020-12       Impact factor: 3.847

3.  A novel NOTCH3 mutation and its clinical, neuroimaging and pathological presentation in a Chinese patient with CADASIL: A case report.

Authors:  Jing Dang; Shengsuo Lei; Mingwan Xia; Jihua Chen
Journal:  Medicine (Baltimore)       Date:  2022-02-18       Impact factor: 1.817

4.  Prevalence and Atypical Clinical Characteristics of NOTCH3 Mutations Among Patients Admitted for Acute Lacunar Infarctions.

Authors:  Takashi Okada; Kazuo Washida; Kenichi Irie; Satoshi Saito; Michio Noguchi; Tsutomu Tomita; Masatoshi Koga; Kazunori Toyoda; Shuhei Okazaki; Takashi Koizumi; Ikuko Mizuta; Toshiki Mizuno; Masafumi Ihara
Journal:  Front Aging Neurosci       Date:  2020-05-14       Impact factor: 5.750

5.  Occurrence of Intracranial Hemorrhage and Associated Risk Factors in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy: A Systematic Review and Meta-Analysis.

Authors:  Qi-Lun Lai; Yin-Xi Zhang; Jun-Jun Wang; Ye-Jia Mo; Li-Ying Zhuang; Lin Cheng; Shi-Ting Weng; Song Qiao; Lu Liu
Journal:  J Clin Neurol       Date:  2022-09       Impact factor: 2.566

6.  Imaging Characteristics for Predicting Cognitive Impairment in Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy.

Authors:  Akira Taniguchi; Akihiro Shindo; Ken-Ichi Tabei; Osamu Onodera; Yukio Ando; Takao Urabe; Kazumi Kimura; Kazuo Kitagawa; Yoshihiro Miyamoto; Misa Takegami; Masafumi Ihara; Ikuko Mizuta; Toshiki Mizuno; Hidekazu Tomimoto
Journal:  Front Aging Neurosci       Date:  2022-06-10       Impact factor: 5.702

7.  Imaging-based pregenetic screening for NOTCH3 p.R544C mutation in ischemic stroke in Taiwan.

Authors:  Yu-Wen Cheng; Chih-Hao Chen; Chaur-Jong Hu; Hung-Yi Chiou; Sung-Chun Tang; Jiann-Shing Jeng
Journal:  Ann Clin Transl Neurol       Date:  2020-09-15       Impact factor: 4.511

  7 in total

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