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A Clinical-Based Diagnostic Approach to Cerebellar Atrophy in Children

Authors :
Claudia Ciaccio
Chiara Pantaleoni
Franco Taroni
Daniela Di Bella
Stefania Magri
Eleonora Lamantea
Daniele Ghezzi
Enza Maria Valente
Vincenzo Nigro
Stefano D’Arrigo
Source :
Applied Sciences, Vol 11, Iss 5, p 2333 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Background: Cerebellar atrophy is a neuroradiological definition that categorizes conditions heterogeneous for clinical findings, disease course, and genetic defect. Most of the papers proposing a diagnostic workup for pediatric ataxias are based on neuroradiology or on the literature and experimental knowledge, with a poor participation of clinics in the process of disease definition. Our study aims to offer a different perspective on the way we approach cerebellar atrophy in developmental age, building a clinical-based diagnostic workup to guide molecular diagnosis. Methods: we recruited 52 patients with pediatric-onset cerebellar atrophy and definite disease categorization. Children underwent brain MRI, neurophysiological exams, metabolic investigations, and muscle biopsy with respiratory chain complex study. Single-gene sequencing, next-generation sequencing NGS panels, whole-exome sequencing (WES), and disease-specific techniques have been used to reach genetic confirmation. Results: Brain MRI is the main method of diagnosis, followed by tests on muscle biopsy and peripheral nervous system study. Other exams (e.g., metabolic investigations or evoked potentials) may be useful to narrow the list of diagnostic possibilities. Conclusions: We propose a diagnostic approach to cerebellar atrophy in children based on clinical findings, and support the evidence that a precise phenotypic definition may lead to the formulation of a definite diagnosis or otherwise guide the back phenotyping process derived from large molecular data.

Details

Language :
English
ISSN :
11052333 and 20763417
Volume :
11
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.9313a7e49acd4bebaac1e6ab638c8d97
Document Type :
article
Full Text :
https://doi.org/10.3390/app11052333