Literature DB >> 28669119

MRI volumetric morphometry in vascular parkinsonism.

Vincent Dunet1,2,3, Jeremy Deverdun4,5,6,7, Celine Charroud4,5,8,9, Emmanuelle Le Bars4,5, Francois Molino6,10, Sophie Menjot de Champfleur11, Florence Maury12, Mahmoud Charif12, Xavier Ayrignac12, Pierre Labauge12, Giovanni Castelnovo13, Frederic Pinna4,5,12, Alain Bonafe4,5,14, Christian Geny11,15,16, Nicolas Menjot de Champfleur4,5,14,17.   

Abstract

Vascular parkinsonism is a difficult clinical differential diagnosis in elderly subjects. We aimed at identifying morphometric markers in the brain of elderly patients with vascular parkinsonism (VP) compared with age-matched patients with Parkinson's disease (PD) and healthy controls. In this multicenter prospective study, 46 patients (80 ± 5 years old; male 32) with parkinsonism (32 PD and 14 VP) and 29 controls (mean age 78 ± 3 years; male 21) underwent brain MRI on a 3-T scanner including T1 MPRAGE and FLAIR sequences. Volumetric morphometry was obtained using Morphobox software and compared between patients and controls. Receiver operating characteristics curve analysis with computation of area under the curve (AUC) was used to compare diagnostic values. Caudate nucleus and white matter hyperintense lesions (WMHL) volumes appeared significantly higher in patients with VP. Normalized caudate volume of at least 0.67% and normalized WMHL of at least 1.11% identified patients with VP from patients with PD and controls with similar performances (p > 0.25). Caudate nucleus and WMHL volumes were positively correlated (ρ = 0.74, p < 0.0001), suggesting vascular disease related remodelling in elderly subjects. Caudate nucleus and WMHL MRI volumes might be used as additional markers to help identify patients with VP in the initial workup of elderly subjects with parkinsonian symptoms.

Entities:  

Keywords:  Brain morphometry; Elderly; Magnetic resonance imaging; Sensitivity; Specificity; Vascular parkinsonism

Mesh:

Year:  2017        PMID: 28669119     DOI: 10.1007/s00415-017-8561-5

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


  25 in total

1.  Vascular parkinsonism: a distinct, heterogeneous clinical entity.

Authors:  M Demirkiran; H Bozdemir; Y Sarica
Journal:  Acta Neurol Scand       Date:  2001-08       Impact factor: 3.209

2.  Midbrain atrophy in vascular Parkinsonism.

Authors:  Seong-Min Choi; Byeong C Kim; Tai-Seung Nam; Joon-Tae Kim; Seung-Han Lee; Man-Seok Park; Myeong-Kyu Kim; Mony J de Leon; Ki-Hyun Cho
Journal:  Eur Neurol       Date:  2011-04-21       Impact factor: 1.710

3.  Individual voxel-based subtype prediction can differentiate progressive supranuclear palsy from idiopathic Parkinson syndrome and healthy controls.

Authors:  Niels K Focke; Gunther Helms; Sebstian Scheewe; Pia M Pantel; Cornelius G Bachmann; Peter Dechent; Jens Ebentheuer; Alexander Mohr; Walter Paulus; Claudia Trenkwalder
Journal:  Hum Brain Mapp       Date:  2011-01-18       Impact factor: 5.038

4.  Assessment of cortical degeneration in patients with Parkinson's disease by voxel-based morphometry, cortical folding, and cortical thickness.

Authors:  Joana Braga Pereira; Naroa Ibarretxe-Bilbao; Maria-Jose Marti; Yaroslau Compta; Carme Junqué; Nuria Bargallo; Eduardo Tolosa
Journal:  Hum Brain Mapp       Date:  2011-09-06       Impact factor: 5.038

5.  Magnetic resonance support vector machine discriminates between Parkinson disease and progressive supranuclear palsy.

Authors:  Andrea Cherubini; Maurizio Morelli; Rita Nisticó; Maria Salsone; Gennarina Arabia; Roberta Vasta; Antonio Augimeri; Maria Eugenia Caligiuri; Aldo Quattrone
Journal:  Mov Disord       Date:  2013-12-03       Impact factor: 10.338

Review 6.  Vascular parkinsonism--characteristics, pathogenesis and treatment.

Authors:  Amos D Korczyn
Journal:  Nat Rev Neurol       Date:  2015-04-28       Impact factor: 42.937

7.  Clinicoradiological comparison between vascular parkinsonism and Parkinson's disease.

Authors:  Thiago Cardoso Vale; Paulo Caramelli; Francisco Cardoso
Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-07-08       Impact factor: 10.154

8.  Clinical features and neuropsychological profile in vascular parkinsonism.

Authors:  Sonia Benítez-Rivero; María J Lama; Ismael Huertas-Fernández; Paloma Alvarez de Toledo; María T Cáceres-Redondo; Juan F Martín-Rodríguez; Fátima Carrillo; Manuel Carballo; Francisco J Palomar; Pablo Mir
Journal:  J Neurol Sci       Date:  2014-07-28       Impact factor: 3.181

9.  An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease.

Authors:  Daniel Schmitter; Alexis Roche; Bénédicte Maréchal; Delphine Ribes; Ahmed Abdulkadir; Meritxell Bach-Cuadra; Alessandro Daducci; Cristina Granziera; Stefan Klöppel; Philippe Maeder; Reto Meuli; Gunnar Krueger
Journal:  Neuroimage Clin       Date:  2014-11-08       Impact factor: 4.881

Review 10.  Lacunar infarction and small vessel disease: pathology and pathophysiology.

Authors:  Louis R Caplan
Journal:  J Stroke       Date:  2015-01-30       Impact factor: 6.967

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  4 in total

1.  Test-retest variability of brain morphometry analysis: an investigation of sequence and coil effects.

Authors:  Shuang Yan; Tianyi Qian; Bénédicte Maréchal; Tobias Kober; Xianchang Zhang; Jinxia Zhu; Jing Lei; Mingli Li; Zhengyu Jin
Journal:  Ann Transl Med       Date:  2020-01

Review 2.  Neuroimaging in Vascular Parkinsonism.

Authors:  Karen K Y Ma; Shi Lin; Vincent C T Mok
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-26       Impact factor: 5.081

3.  Automated MRI-based volumetry of basal ganglia and thalamus at the chronic phase of cortical stroke.

Authors:  Cindy Baudat; Bénédicte Maréchal; Ricardo Corredor-Jerez; Tobias Kober; Reto Meuli; Patric Hagmann; Patrik Michel; Philippe Maeder; Vincent Dunet
Journal:  Neuroradiology       Date:  2020-06-17       Impact factor: 2.804

4.  Cortical and Subcortical Grey Matter Abnormalities in White Matter Hyperintensities and Subsequent Cognitive Impairment.

Authors:  Wenhao Zhu; Hao Huang; Shiqi Yang; Xiang Luo; Wenzhen Zhu; Shabei Xu; Qi Meng; Chengchao Zuo; Yong Liu; Wei Wang
Journal:  Neurosci Bull       Date:  2021-04-07       Impact factor: 5.203

  4 in total

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