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Radiomics approach in the neurodegenerative brain.
Salvatore, Christian; Castiglioni, Isabella; Cerasa, Antonio.
  • Salvatore C; Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Milan, Italy.
  • Castiglioni I; Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Milan, Italy. isabella.castiglioni@ibfm.cnr.it.
  • Cerasa A; Research in Advanced Neurorehabilitation, S. Anna Institute, Crotone, Italy. a.cerasa@unicz.it.
Aging Clin Exp Res ; 33(6): 1709-1711, 2021 Jun.
Article en En | MEDLINE | ID: mdl-31428998
ABSTRACT
As claimed by Robert Gilles et al., "Images are more than pictures, they are data". This statement refers to the power of imaging to provide large amounts of quantitative features for improving diagnosis, prognosis and therapy response. The conversion of digital medical images into high-dimensional mineable data is called radiomics. Radiomics analysis is based on data-characterisation algorithms which have the potential to uncover disease heterogeneity characteristics that might escape from the expert evaluation. This method has been widely applied in oncology and genetic fields, while the literature on neurodegenerative disorders is in its relative infancy. Here, we provide a preliminary evaluation of the main results reached applying radiomics analyses on well-established MRI features of patients with Alzheimer's Disease and Parkinson's disease.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article