Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers.
Autor: | Pérez-Millan A; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain; Institut de Neurociències, University of Barcelona, Barcelona, Spain; Department of Biomedicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain; Inria, CEA, Université Paris-Saclay, Paris, France., Thirion B; Inria, CEA, Université Paris-Saclay, Paris, France., Falgàs N; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain., Borrego-Écija S; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain., Bosch B; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain., Juncà-Parella J; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain., Tort-Merino A; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain., Sarto J; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain., Augé JM; Biochemistry and Molecular Genetics Department, Hospital Clínic de Barcelona, Barcelona, Spain., Antonell A; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain., Bargalló N; Image Diagnostic Centre, Hospital Clínic de Barcelona, CIBER de Salud Mental, Instituto de Salud Carlos III.Magnetic Resonance Image Core Facility, IDIBAPS, Barcelona, Spain., Balasa M; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain., Lladó A; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain; Institut de Neurociències, University of Barcelona, Barcelona, Spain., Sánchez-Valle R; Alzheimer's disease and other cognitive disorders unit. Service of Neurology, Hospital Clínic de Barcelona. Fundació Recerca Clínic Barcelona-IDIBAPS, Barcelona, Spain; Institut de Neurociències, University of Barcelona, Barcelona, Spain., Sala-Llonch R; Institut de Neurociències, University of Barcelona, Barcelona, Spain; Department of Biomedicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Barcelona, Spain; Fundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi I Sunyer (FRCB-IDIBAPS), Barcelona, Spain. Electronic address: roser.sala@ub.edu. |
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Jazyk: | angličtina |
Zdroj: | Neurobiology of aging [Neurobiol Aging] 2024 Dec; Vol. 144, pp. 1-11. Date of Electronic Publication: 2024 Aug 30. |
DOI: | 10.1016/j.neurobiolaging.2024.08.008 |
Abstrakt: | Neuroimaging and fluid biomarkers are used to differentiate frontotemporal dementia (FTD) from Alzheimer's disease (AD). We implemented a machine learning algorithm that provides individual probabilistic scores based on magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) data. We investigated whether combining MRI and CSF levels could improve the diagnosis confidence. 215 AD patients, 103 FTD patients, and 173 healthy controls (CTR) were studied. With MRI data, we obtained an accuracy of 82 % for AD vs. FTD. A total of 74 % of FTD and 73 % of AD participants have a high probability of accurate diagnosis. Adding CSF-NfL and 14-3-3 levels improved the accuracy and the number of patients in the confidence group for differentiating FTD from AD. We obtain individual diagnostic probabilities with high precision to address the problem of confidence in the diagnosis. We suggest when MRI, CSF, or the combination are necessary to improve the FTD and AD diagnosis. This algorithm holds promise towards clinical applications as support to clinical findings or in settings with limited access to expert diagnoses. (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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