Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
13 10 2023
13 10 2023
Historique:
received:
30
01
2023
accepted:
27
09
2023
medline:
23
10
2023
pubmed:
14
10
2023
entrez:
13
10
2023
Statut:
epublish
Résumé
Biomarker-based differential diagnosis of the most common forms of dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim of this study was to develop and interpret a ML algorithm capable of differentiating Alzheimer's dementia, frontotemporal dementia, dementia with Lewy bodies and cognitively normal control subjects based on sociodemographic, clinical, and magnetic resonance imaging (MRI) variables. 506 subjects from 5 databases were included. MRI images were processed with FreeSurfer, LPA, and TRACULA to obtain brain volumes and thicknesses, white matter lesions and diffusion metrics. MRI metrics were used in conjunction with clinical and demographic data to perform differential diagnosis based on a Support Vector Machine model called MUQUBIA (Multimodal Quantification of Brain whIte matter biomArkers). Age, gender, Clinical Dementia Rating (CDR) Dementia Staging Instrument, and 19 imaging features formed the best set of discriminative features. The predictive model performed with an overall Area Under the Curve of 98%, high overall precision (88%), recall (88%), and F1 scores (88%) in the test group, and good Label Ranking Average Precision score (0.95) in a subset of neuropathologically assessed patients. The results of MUQUBIA were explained by the SHapley Additive exPlanations (SHAP) method. The MUQUBIA algorithm successfully classified various dementias with good performance using cost-effective clinical and MRI information, and with independent validation, has the potential to assist physicians in their clinical diagnosis.
Identifiants
pubmed: 37833302
doi: 10.1038/s41598-023-43706-6
pii: 10.1038/s41598-023-43706-6
pmc: PMC10575864
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
17355Subventions
Organisme : NIA NIH HHS
ID : P30 AG066518
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005142
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG016573
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG047266
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG025688
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005133
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005138
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG047366
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG019610
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG028383
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG013854
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG053760
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010124
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG023501
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005131
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS100610
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010133
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG016574
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005146
Pays : United States
Organisme : NIA NIH HHS
ID : U24 AG072122
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG035982
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG008702
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG008051
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005681
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG013846
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG047270
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005136
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG049638
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG012300
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005134
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG008017
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010161
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG032306
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : P30 AG072976
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010129
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS100620
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG033514
Pays : United States
Investigateurs
Maria Grazia Bruzzone
(MG)
Pietro Tiraboschi
(P)
Claudia A M Gandini Wheeler-Kingshott
(CAM)
Michela Tosetti
(M)
Gianluigi Forloni
(G)
Alberto Redolfi
(A)
Egidio D'Angelo
(E)
Fabrizio Tagliavini
(F)
Raffaele Lodi
(R)
Raffaele Agati
(R)
Marco Aiello
(M)
Elisa Alberici
(E)
Carmelo Amato
(C)
Domenico Aquino
(D)
Filippo Arrigoni
(F)
Francesca Baglio
(F)
Laura Biagi
(L)
Lilla Bonanno
(L)
Paolo Bosco
(P)
Francesca Bottino
(F)
Marco Bozzali
(M)
Nicola Canessa
(N)
Chiara Carducci
(C)
Irene Carne
(I)
Lorenzo Carnevale
(L)
Antonella Castellano
(A)
Carlo Cavaliere
(C)
Mattia Colnaghi
(M)
Valeria Elisa Contarino
(VE)
Giorgio Conte
(G)
Mauro Costagli
(M)
Greta Demichelis
(G)
Silvia De Francesco
(S)
Andrea Falini
(A)
Stefania Ferraro
(S)
Giulio Ferrazzi
(G)
Lorenzo Figà Talamanca
(L)
Cira Fundarò
(C)
Simona Gaudino
(S)
Francesco Ghielmetti
(F)
Ruben Gianeri
(R)
Giovanni Giulietti
(G)
Marco Grimaldi
(M)
Antonella Iadanza
(A)
Matilde Inglese
(M)
Maria Marcella Laganà
(MM)
Marta Lancione
(M)
Fabrizio Levrero
(F)
Daniela Longo
(D)
Giulia Lucignani
(G)
Martina Lucignani
(M)
Maria Luisa Malosio
(ML)
Vittorio Manzo
(V)
Silvia Marino
(S)
Jean Paul Medina
(JP)
Edoardo Micotti
(E)
Claudia Morelli
(C)
Cristina Muscio
(C)
Antonio Napolitano
(A)
Anna Nigri
(A)
Francesco Padelli
(F)
Fulvia Palesi
(F)
Patrizia Pantano
(P)
Chiara Parrillo
(C)
Luigi Pavone
(L)
Denis Peruzzo
(D)
Nikolaos Petsas
(N)
Anna Pichiecchio
(A)
Alice Pirastru
(A)
Letterio S Politi
(LS)
Luca Roccatagliata
(L)
Elisa Rognone
(E)
Andrea Rossi
(A)
Maria Camilla Rossi-Espagnet
(MC)
Claudia Ruvolo
(C)
Marco Salvatore
(M)
Giovanni Savini
(G)
Emanuela Tagliente
(E)
Claudia Testa
(C)
Caterina Tonon
(C)
Domenico Tortora
(D)
Fabio Maria Triulzi
(FM)
Informations de copyright
© 2023. Springer Nature Limited.
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