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dc.contributor.authorBruun, Marie
dc.contributor.authorRhodius-Meester, Hanneke FM
dc.contributor.authorKoikkalainen, Juha
dc.contributor.authorBaroni, Marta
dc.contributor.authorGjerum, Le
dc.contributor.authorLemstra, Afina W
dc.contributor.authorBarkhof, Frederik
dc.contributor.authorRemes, Anne M
dc.contributor.authorUrhemaa, Timo
dc.contributor.authorTolonen, Antti
dc.contributor.authorRueckert, Daniel
dc.contributor.authorvan Gils, Mark
dc.contributor.authorFrederiksen, Kristian S
dc.contributor.authorWaldemar, Gunhild
dc.contributor.authorScheltens, Philip
dc.contributor.authorMecocci, Patrizia
dc.contributor.authorSoininen, Hilkka
dc.contributor.authorLötjönen, Jyrki
dc.contributor.authorHasselbalch, Steen G
dc.contributor.authorvan der Flier, Wiesje M
dc.date.accessioned2018-10-19T11:12:51Z
dc.date.available2018-10-19T11:12:51Z
dc.date.issued2018
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/7064
dc.description.abstractIntroduction We studied, using a data-driven approach, how different combinations of diagnostic tests contribute to the differential diagnosis of dementia. Methods In this multicenter study, we included 356 patients with Alzheimer's disease, 87 frontotemporal dementia, 61 dementia with Lewy bodies, 38 vascular dementia, and 302 controls. We used a classifier to assess accuracy for individual performance and combinations of cognitive tests, cerebrospinal fluid biomarkers, and automated magnetic resonance imaging features for pairwise differentiation between dementia types. Results Cognitive tests had good performance in separating any type of dementia from controls. Cerebrospinal fluid optimally contributed to identifying Alzheimer's disease, whereas magnetic resonance imaging features aided in separating vascular dementia, dementia with Lewy bodies, and frontotemporal dementia. Combining diagnostic tests increased the accuracy, with balanced accuracies ranging from 78% to 97%. Discussion Different diagnostic tests have their distinct roles in differential diagnostics of dementias. Our results indicate that combining different diagnostic tests may increase the accuracy further.
dc.language.isoenglanti
dc.publisherElsevier BV
dc.relation.ispartofseriesAlzheimer's & dementia : diagnosis, assessment & disease monitoring
dc.relation.urihttp://dx.doi.org/10.1016/j.dadm.2018.07.003
dc.rightsCC BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectdifferential diagnosis
dc.subjectbiomarkers
dc.subjectdiagnostic test assessment
dc.subjectclinical decision support system
dc.subjectCSF
dc.subjectMRI
dc.subjectAlzheimer's disease
dc.subjectfrontotemporal dementia
dc.subjectdementia with Lewy bodies
dc.subjectvascular dementia
dc.titleEvaluating combinations of diagnostic tests to discriminate different dementia types
dc.description.versionpublished version
dc.contributor.departmentSchool of Medicine / Clinical Medicine
uef.solecris.id57877526en
dc.type.publicationTieteelliset aikakauslehtiartikkelit
dc.rights.accessrights© Authors
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7-ICT/611005/EU/From Patient Data to Clinical Diagnosis in Neurodegenerative Diseases/PredictND
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7-ICT/224328/EU/FROM PATIENT DATA TO PERSONALISED HEALTHCARE IN ALZHEIMER'S DISEASE/Predict
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7-ICT/601055/EU/VPH Dementia Research Enabled by IT/VPH-DARE@IT
dc.relation.doi10.1016/j.dadm.2018.07.003
dc.description.reviewstatuspeerReviewed
dc.format.pagerange509-518
dc.relation.volume10
dc.rights.accesslevelopenAccess
dc.type.okmA1
uef.solecris.openaccessOpen access -julkaisukanavassa ilmestynyt julkaisu


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