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https://hdl.handle.net/10316/103347
Título: | Classification of Huntington's Disease Stage with Features Derived from Structural and Diffusion-Weighted Imaging | Autor: | Lavrador, Rui Filipe David Júlio, Filipa Januário, Cristina Castelo Branco, Miguel Caetano, Gina |
Palavras-chave: | Huntington’s disease; grey matter density; fractional anisotropy; classification; support vector machine; basal ganglia | Data: | 28-Abr-2022 | Projeto: | PTDC/SAU-ENB/112306/2009 POCI-01-0145-FEDER-007440 UIDP/50009/2020 info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP/04950/2020 |
Título da revista, periódico, livro ou evento: | Journal of Personalized Medicine | Volume: | 12 | Número: | 5 | Resumo: | The purpose of this study was to classify Huntington's disease (HD) stage using support vector machines and measures derived from T1- and diffusion-weighted imaging. The effects of feature selection approach and combination of imaging modalities are assessed. Fourteen premanifest-HD individuals (Pre-HD; on average > 20 years from estimated disease onset), eleven early-manifest HD (Early-HD) patients, and eighteen healthy controls (HC) participated in the study. We compared three feature selection approaches: (i) whole-brain segmented grey matter (GM; voxel-based measure) or fractional anisotropy (FA) values; (ii) GM or FA values from subcortical regions-of-interest (caudate, putamen, pallidum); and (iii) automated selection of GM or FA values with the algorithm Relief-F. We assessed single- and multi-kernel approaches to classify combined GM and FA measures. Significant classifications were achieved between Early-HD and Pre-HD or HC individuals (accuracy: generally, 85% to 95%), and between Pre-HD and controls for the feature FA of the caudate ROI (74% accuracy). The combination of GM and FA measures did not result in higher performances. We demonstrate evidence on the high sensitivity of FA for the classification of the earliest Pre-HD stages, and successful distinction between HD stages. | URI: | https://hdl.handle.net/10316/103347 | ISSN: | 2075-4426 | DOI: | 10.3390/jpm12050704 | Direitos: | openAccess |
Aparece nas coleções: | I&D CIBIT - Artigos em Revistas Internacionais FPCEUC - Artigos em Revistas Internacionais I&D ICNAS - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Classification-of-Huntingtons-Disease-Stage-with-Features-Derived-from-Structural-and-DiffusionWeighted-ImagingJournal-of-Personalized-Medicine.pdf | 2.81 MB | Adobe PDF | Ver/Abrir |
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