CHARON: An Imaging-Based Diagnostic Algorithm to Navigate Through the Sea of Hereditary Degenerative Ataxias
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| Název: | CHARON: An Imaging-Based Diagnostic Algorithm to Navigate Through the Sea of Hereditary Degenerative Ataxias |
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| Autoři: | Scaravilli, Alessandra, Tranfa, Mario, Pontillo, Giuseppe, Brais, Bernard, De Michele, Giovanna, La Piana, Roberta, Sacca, Francesco, Santorelli, Filippo Maria, Synofzik, Matthis, Brunetti, Arturo, Cocozza, Sirio |
| Zdroj: | Cerebellum The cerebellum 23(5), 2122-2129 (2024). doi:10.1007/s12311-024-01677-y The Cerebellum |
| Informace o vydavateli: | Springer Science and Business Media LLC, 2024. |
| Rok vydání: | 2024 |
| Témata: | 0301 basic medicine, Algorithms [MeSH], Ataxia, Neuroimaging/methods [MeSH], Magnetic Resonance Imaging, Neuroimaging, Humans [MeSH], Review, Magnetic Resonance Imaging/methods [MeSH], Algorithm, 03 medical and health sciences, methods [Magnetic Resonance Imaging], 0302 clinical medicine, Humans, ddc:610, methods [Neuroimaging], Algorithms |
| Popis: | The complexity in diagnosing hereditary degenerative ataxias lies not only in their rarity, but also in the variety of different genetic conditions that can determine sometimes similar and overlapping clinical findings. In this light, Magnetic Resonance Imaging (MRI) plays a key role in the evaluation of these conditions, being a fundamental diagnostic tool needed not only to exclude other causes determining the observed clinical phenotype, but also to proper guide to an adequate genetic testing. Here, we propose an MRI-based diagnostic algorithm named CHARON (Characterization of Hereditary Ataxias Relying On Neuroimaging), to help in disentangling among the numerous, and apparently very similar, hereditary degenerative ataxias. Being conceived from a neuroradiological standpoint, it is based primarily on an accurate evaluation of the observed MRI findings, with the first and most important being the pattern of cerebellar atrophy. Along with the evaluation of the presence, or absence, of additional signal changes and/or supratentorial involvement, CHARON allows for the identification of a small groups of ataxias sharing similar imaging features. The integration of additional MRI findings, demographic, clinical and laboratory data allow then for the identification of typical, and in some cases pathognomonic, phenotypes of hereditary ataxias. |
| Druh dokumentu: | Article Other literature type |
| Popis souboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 1473-4230 |
| DOI: | 10.1007/s12311-024-01677-y |
| Přístupová URL adresa: | https://pubmed.ncbi.nlm.nih.gov/38436911 https://hdl.handle.net/11588/959723 https://pub.dzne.de/record/272819 https://repository.publisso.de/resource/frl:6509957 |
| Rights: | CC BY |
| Přístupové číslo: | edsair.doi.dedup.....9c3318eb742520328dea4f56cb4e4c48 |
| Databáze: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | The complexity in diagnosing hereditary degenerative ataxias lies not only in their rarity, but also in the variety of different genetic conditions that can determine sometimes similar and overlapping clinical findings. In this light, Magnetic Resonance Imaging (MRI) plays a key role in the evaluation of these conditions, being a fundamental diagnostic tool needed not only to exclude other causes determining the observed clinical phenotype, but also to proper guide to an adequate genetic testing. Here, we propose an MRI-based diagnostic algorithm named CHARON (Characterization of Hereditary Ataxias Relying On Neuroimaging), to help in disentangling among the numerous, and apparently very similar, hereditary degenerative ataxias. Being conceived from a neuroradiological standpoint, it is based primarily on an accurate evaluation of the observed MRI findings, with the first and most important being the pattern of cerebellar atrophy. Along with the evaluation of the presence, or absence, of additional signal changes and/or supratentorial involvement, CHARON allows for the identification of a small groups of ataxias sharing similar imaging features. The integration of additional MRI findings, demographic, clinical and laboratory data allow then for the identification of typical, and in some cases pathognomonic, phenotypes of hereditary ataxias. |
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| ISSN: | 14734230 |
| DOI: | 10.1007/s12311-024-01677-y |