Evaluating combinations of diagnostic tests to discriminate different dementia types

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Standard

Evaluating combinations of diagnostic tests to discriminate different dementia types. / Bruun, Marie; Rhodius-Meester, Hanneke F M; Koikkalainen, Juha; Baroni, Marta; Gjerum, Le; Lemstra, Afina W; Barkhof, Frederik; Remes, Anne M; Urhemaa, Timo; Tolonen, Antti; Rueckert, Daniel; van Gils, Mark; Frederiksen, Kristian S; Waldemar, Gunhild; Scheltens, Philip; Mecocci, Patrizia; Soininen, Hilkka; Lötjönen, Jyrki; Hasselbalch, Steen G; van der Flier, Wiesje M.

I: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, Bind 10, 2018, s. 509-518.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Bruun, M, Rhodius-Meester, HFM, Koikkalainen, J, Baroni, M, Gjerum, L, Lemstra, AW, Barkhof, F, Remes, AM, Urhemaa, T, Tolonen, A, Rueckert, D, van Gils, M, Frederiksen, KS, Waldemar, G, Scheltens, P, Mecocci, P, Soininen, H, Lötjönen, J, Hasselbalch, SG & van der Flier, WM 2018, 'Evaluating combinations of diagnostic tests to discriminate different dementia types', Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, bind 10, s. 509-518. https://doi.org/10.1016/j.dadm.2018.07.003

APA

Bruun, M., Rhodius-Meester, H. F. M., Koikkalainen, J., Baroni, M., Gjerum, L., Lemstra, A. W., Barkhof, F., Remes, A. M., Urhemaa, T., Tolonen, A., Rueckert, D., van Gils, M., Frederiksen, K. S., Waldemar, G., Scheltens, P., Mecocci, P., Soininen, H., Lötjönen, J., Hasselbalch, S. G., & van der Flier, W. M. (2018). Evaluating combinations of diagnostic tests to discriminate different dementia types. Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 10, 509-518. https://doi.org/10.1016/j.dadm.2018.07.003

Vancouver

Bruun M, Rhodius-Meester HFM, Koikkalainen J, Baroni M, Gjerum L, Lemstra AW o.a. Evaluating combinations of diagnostic tests to discriminate different dementia types. Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 2018;10:509-518. https://doi.org/10.1016/j.dadm.2018.07.003

Author

Bruun, Marie ; Rhodius-Meester, Hanneke F M ; Koikkalainen, Juha ; Baroni, Marta ; Gjerum, Le ; Lemstra, Afina W ; Barkhof, Frederik ; Remes, Anne M ; Urhemaa, Timo ; Tolonen, Antti ; Rueckert, Daniel ; van Gils, Mark ; Frederiksen, Kristian S ; Waldemar, Gunhild ; Scheltens, Philip ; Mecocci, Patrizia ; Soininen, Hilkka ; Lötjönen, Jyrki ; Hasselbalch, Steen G ; van der Flier, Wiesje M. / Evaluating combinations of diagnostic tests to discriminate different dementia types. I: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 2018 ; Bind 10. s. 509-518.

Bibtex

@article{96be0df3d53a4e66af2e5cdc765db9fa,
title = "Evaluating combinations of diagnostic tests to discriminate different dementia types",
abstract = "Introduction: 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.",
author = "Marie Bruun and Rhodius-Meester, {Hanneke F M} and Juha Koikkalainen and Marta Baroni and Le Gjerum and Lemstra, {Afina W} and Frederik Barkhof and Remes, {Anne M} and Timo Urhemaa and Antti Tolonen and Daniel Rueckert and {van Gils}, Mark and Frederiksen, {Kristian S} and Gunhild Waldemar and Philip Scheltens and Patrizia Mecocci and Hilkka Soininen and Jyrki L{\"o}tj{\"o}nen and Hasselbalch, {Steen G} and {van der Flier}, {Wiesje M}",
year = "2018",
doi = "10.1016/j.dadm.2018.07.003",
language = "English",
volume = "10",
pages = "509--518",
journal = "Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring",
issn = "2352-8729",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Evaluating combinations of diagnostic tests to discriminate different dementia types

AU - Bruun, Marie

AU - Rhodius-Meester, Hanneke F M

AU - Koikkalainen, Juha

AU - Baroni, Marta

AU - Gjerum, Le

AU - Lemstra, Afina W

AU - Barkhof, Frederik

AU - Remes, Anne M

AU - Urhemaa, Timo

AU - Tolonen, Antti

AU - Rueckert, Daniel

AU - van Gils, Mark

AU - Frederiksen, Kristian S

AU - Waldemar, Gunhild

AU - Scheltens, Philip

AU - Mecocci, Patrizia

AU - Soininen, Hilkka

AU - Lötjönen, Jyrki

AU - Hasselbalch, Steen G

AU - van der Flier, Wiesje M

PY - 2018

Y1 - 2018

N2 - Introduction: 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.

AB - Introduction: 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.

U2 - 10.1016/j.dadm.2018.07.003

DO - 10.1016/j.dadm.2018.07.003

M3 - Journal article

C2 - 30320203

VL - 10

SP - 509

EP - 518

JO - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

JF - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

SN - 2352-8729

ER -

ID: 218605673