Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers

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 inv...

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Autores: Pérez Millan, Agnès, Thirion, Bertrand, Falgàs Martínez, Neus, Borrego Écija, Sergi, Bosch Capdevila, Beatriz, Juncà Parella, Jordi, Tort Merino, Adrià, Sarto Alonso, Jordi, Augé Fradera, Josep Maria, Antonell Boixader, Anna, 1978-, Bargalló Alabart, Núria, Balasa, Mircea, Lladó Plarrumaní, Albert, Sánchez del Valle Díaz, Raquel, Sala Llonch, Roser
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/216298
Acesso em linha:https://hdl.handle.net/2445/216298
Access Level:acceso abierto
Palavra-chave:Malaltia d'Alzheimer
Marcadors bioquímics
Imatges per ressonància magnètica
Alzheimer's disease
Biochemical markers
Magnetic resonance imaging
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spelling Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkersPérez Millan, AgnèsThirion, BertrandFalgàs Martínez, NeusBorrego Écija, SergiBosch Capdevila, BeatrizJuncà Parella, JordiTort Merino, AdriàSarto Alonso, JordiAugé Fradera, Josep MariaAntonell Boixader, Anna, 1978-Bargalló Alabart, NúriaBalasa, MirceaLladó Plarrumaní, AlbertSánchez del Valle Díaz, RaquelSala Llonch, RoserMalaltia d'AlzheimerMarcadors bioquímicsImatges per ressonància magnèticaAlzheimer's diseaseBiochemical markersMagnetic resonance imagingNeuroimaging 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.Elsevier B.V.2024202420242024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion11 p.application/pdfhttps://hdl.handle.net/2445/216298Articles publicats en revistes (Biomedicina)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1016/j.neurobiolaging.2024.08.008Neurobiology of Aging, 2024, vol. 144, p. 1-11https://doi.org/10.1016/j.neurobiolaging.2024.08.008cc-by-nc (c) Pérez Millan, Agnès et al., 2024http://creativecommons.org/licenses/by-nc/3.0/es/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/2162982026-05-29T05:05:01Z
dc.title.none.fl_str_mv Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers
title Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers
spellingShingle Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers
Pérez Millan, Agnès
Malaltia d'Alzheimer
Marcadors bioquímics
Imatges per ressonància magnètica
Alzheimer's disease
Biochemical markers
Magnetic resonance imaging
title_short Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers
title_full Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers
title_fullStr Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers
title_full_unstemmed Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers
title_sort Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer's disease with MRI and CSF biomarkers
dc.creator.none.fl_str_mv Pérez Millan, Agnès
Thirion, Bertrand
Falgàs Martínez, Neus
Borrego Écija, Sergi
Bosch Capdevila, Beatriz
Juncà Parella, Jordi
Tort Merino, Adrià
Sarto Alonso, Jordi
Augé Fradera, Josep Maria
Antonell Boixader, Anna, 1978-
Bargalló Alabart, Núria
Balasa, Mircea
Lladó Plarrumaní, Albert
Sánchez del Valle Díaz, Raquel
Sala Llonch, Roser
author Pérez Millan, Agnès
author_facet Pérez Millan, Agnès
Thirion, Bertrand
Falgàs Martínez, Neus
Borrego Écija, Sergi
Bosch Capdevila, Beatriz
Juncà Parella, Jordi
Tort Merino, Adrià
Sarto Alonso, Jordi
Augé Fradera, Josep Maria
Antonell Boixader, Anna, 1978-
Bargalló Alabart, Núria
Balasa, Mircea
Lladó Plarrumaní, Albert
Sánchez del Valle Díaz, Raquel
Sala Llonch, Roser
author_role author
author2 Thirion, Bertrand
Falgàs Martínez, Neus
Borrego Écija, Sergi
Bosch Capdevila, Beatriz
Juncà Parella, Jordi
Tort Merino, Adrià
Sarto Alonso, Jordi
Augé Fradera, Josep Maria
Antonell Boixader, Anna, 1978-
Bargalló Alabart, Núria
Balasa, Mircea
Lladó Plarrumaní, Albert
Sánchez del Valle Díaz, Raquel
Sala Llonch, Roser
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Malaltia d'Alzheimer
Marcadors bioquímics
Imatges per ressonància magnètica
Alzheimer's disease
Biochemical markers
Magnetic resonance imaging
topic Malaltia d'Alzheimer
Marcadors bioquímics
Imatges per ressonància magnètica
Alzheimer's disease
Biochemical markers
Magnetic resonance imaging
description 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.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/216298
url https://hdl.handle.net/2445/216298
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1016/j.neurobiolaging.2024.08.008
Neurobiology of Aging, 2024, vol. 144, p. 1-11
https://doi.org/10.1016/j.neurobiolaging.2024.08.008
dc.rights.none.fl_str_mv cc-by-nc (c) Pérez Millan, Agnès et al., 2024
http://creativecommons.org/licenses/by-nc/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc (c) Pérez Millan, Agnès et al., 2024
http://creativecommons.org/licenses/by-nc/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11 p.
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Articles publicats en revistes (Biomedicina)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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