Literature DB >> 25382714

Consensus paper: radiological biomarkers of cerebellar diseases.

Leonardo Baldarçara1, Stuart Currie, M Hadjivassiliou, Nigel Hoggard, Allison Jack, Andrea P Jackowski, Mario Mascalchi, Cecilia Parazzini, Kathrin Reetz, Andrea Righini, Jörg B Schulz, Alessandra Vella, Sara Jane Webb, Christophe Habas.   

Abstract

Hereditary and sporadic cerebellar ataxias represent a vast and still growing group of diseases whose diagnosis and differentiation cannot only rely on clinical evaluation. Brain imaging including magnetic resonance (MR) and nuclear medicine techniques allows for characterization of structural and functional abnormalities underlying symptomatic ataxias. These methods thus constitute a potential source of radiological biomarkers, which could be used to identify these diseases and differentiate subgroups of them, and to assess their severity and their evolution. Such biomarkers mainly comprise qualitative and quantitative data obtained from MR including proton spectroscopy, diffusion imaging, tractography, voxel-based morphometry, functional imaging during task execution or in a resting state, and from SPETC and PET with several radiotracers. In the current article, we aim to illustrate briefly some applications of these neuroimaging tools to evaluation of cerebellar disorders such as inherited cerebellar ataxia, fetal developmental malformations, and immune-mediated cerebellar diseases and of neurodegenerative or early-developing diseases, such as dementia and autism in which cerebellar involvement is an emerging feature. Although these radiological biomarkers appear promising and helpful to better understand ataxia-related anatomical and physiological impairments, to date, very few of them have turned out to be specific for a given ataxia with atrophy of the cerebellar system being the main and the most usual alteration being observed. Consequently, much remains to be done to establish sensitivity, specificity, and reproducibility of available MR and nuclear medicine features as diagnostic, progression and surrogate biomarkers in clinical routine.

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Year:  2015        PMID: 25382714      PMCID: PMC4929983          DOI: 10.1007/s12311-014-0610-3

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  167 in total

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3.  Callosal tissue loss in multiple system atrophy--a one-year follow-up study.

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Journal:  Mov Disord       Date:  2010-11-15       Impact factor: 10.338

4.  Spinocerebellar ataxia type 6: genotype and phenotype in German kindreds.

Authors:  L Schöls; R Krüger; G Amoiridis; H Przuntek; J T Epplen; O Riess
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Review 5.  Role of FDG-PET in the clinical management of paraneoplastic neurological syndrome: detection of the underlying malignancy and the brain PET-MRI correlates.

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6.  Biological and clinical characteristics of individuals at risk for spinocerebellar ataxia types 1, 2, 3, and 6 in the longitudinal RISCA study: analysis of baseline data.

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Journal:  Lancet Neurol       Date:  2013-05-22       Impact factor: 44.182

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Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2013-08-20       Impact factor: 5.747

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Journal:  Ann Neurol       Date:  2014-06-24       Impact factor: 10.422

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  14 in total

1.  Fast Progression of Cerebellar Atrophy in PLA2G6-Associated Infantile Neuronal Axonal Dystrophy.

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Journal:  Cerebellum       Date:  2017-06       Impact factor: 3.847

Review 2.  Molecular Mechanisms and Therapeutics for Spinocerebellar Ataxia Type 2.

Authors:  Polina A Egorova; Ilya B Bezprozvanny
Journal:  Neurotherapeutics       Date:  2019-10       Impact factor: 7.620

3.  Acetyl-DL-leucine in cerebellar ataxia ([18F]-FDG-PET study): how does a cerebellar disorder influence cortical sensorimotor networks?

Authors:  Sandra Becker-Bense; Lena Kaiser; Regina Becker; Katharina Feil; Carolin Muth; Nathalie L Albert; Marcus Unterrainer; Peter Bartenstein; Michael Strupp; Marianne Dieterich
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4.  Anti-MAG associated cerebellar ataxia and response to rituximab.

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Review 5.  Spinocerebellar Ataxia Type 2: Clinicogenetic Aspects, Mechanistic Insights, and Management Approaches.

Authors:  Luis C Velázquez-Pérez; Roberto Rodríguez-Labrada; Juan Fernandez-Ruiz
Journal:  Front Neurol       Date:  2017-09-11       Impact factor: 4.003

6.  Is 1H-MR spectroscopy useful as a diagnostic aid in MSA-C?

Authors:  Viren H Kadodwala; Marios Hadjivassiliou; Stuart Currie; Nicholas Skipper; Nigel Hoggard
Journal:  Cerebellum Ataxias       Date:  2019-07-05

7.  Tremor after long term lithium treatment; is it cortical myoclonus?

Authors:  Ptolemaios Georgios Sarrigiannis; Panagiotis Zis; Zoe Charlotte Unwin; Daniel J Blackburn; Nigel Hoggard; Yifan Zhao; Stephen A Billings; Aijaz A Khan; John Yianni; Marios Hadjivassiliou
Journal:  Cerebellum Ataxias       Date:  2019-05-22

Review 8.  Standardized Assessment of Hereditary Ataxia Patients in Clinical Studies.

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Journal:  Mov Disord Clin Pract       Date:  2016-02-11

Review 9.  Spinocerebellar Ataxia 27: A Review and Characterization of an Evolving Phenotype.

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10.  Histogram analysis of DTI-derived indices reveals pontocerebellar degeneration and its progression in SCA2.

Authors:  Mario Mascalchi; Chiara Marzi; Marco Giannelli; Stefano Ciulli; Andrea Bianchi; Andrea Ginestroni; Carlo Tessa; Emanuele Nicolai; Marco Aiello; Elena Salvatore; Andrea Soricelli; Stefano Diciotti
Journal:  PLoS One       Date:  2018-07-12       Impact factor: 3.240

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