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Evaluating combinations of diagnostic tests to discriminate different dementia types |
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| Author: | Bruun, Marie1; Rhodius-Meester, Hanneke F. M.2; Koikkalainen, Juha3; |
| Organizations: |
1Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen 2Alzheimer Center, Department of Neurology, VU University Medical Center, Amsterdam Neuroscience 3Combinostics Ltd.
4Institute of Gerontology and Geriatrics, University of Perugia
5Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam Neuroscience 6UCL Institutes of Neurology and Healthcare Engineering 7Medical Research Center, Oulu University Hospital 8Unit of Clinical Neuroscience, Neurology, University of Oulu 9VTT Technical Research Center of Finland Ltd 10Department of Computing, Imperial College, London 11Institute of Clinical Medicine, Neurology, University of Eastern Finland 12Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam Neuroscience |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.4 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2018110147053 |
| Language: | English |
| Published: |
Elsevier,
2018
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| Publish Date: | 2018-11-01 |
| 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%. Conclusions: 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. see all
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| Series: |
Alzheimer's & dementia. Diagnosis, assessment & disease monitoring |
| ISSN: | 2352-8729 |
| ISSN-E: | 2352-8729 |
| ISSN-L: | 2352-8729 |
| Volume: | 10 |
| Pages: | 509 - 518 |
| DOI: | 10.1016/j.dadm.2018.07.003 |
| OADOI: | https://oadoi.org/10.1016/j.dadm.2018.07.003 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
3124 Neurology and psychiatry |
| Subjects: | |
| Funding: |
This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreements no 611005 (PredictND). For development of the PredictND tool, the VTT Technical Research Center of Finland Ltd has received funding from European Union's Seventh Framework Programme for research, technological development, and demonstration under grant agreements 601055 (VPH-DARE@IT), 224328, and 611005. The PredictND consortium consisted of collaborates from the VTT Technical Research Center of Finland, GE Healthcare Ltd, Imperial College London, Alzheimer Europe, Alzheimer Center–VU University Medical Center, Amsterdam, the Netherlands, the Danish Dementia Research Center, Copenhagen University Hospital, Denmark, the Department of Gerontology and Geriatrics of the University of Perugia, “S. Maria della Misericordia” Hospital of Perugia, Italy, the Department of Neurology from the University of Eastern Finland. |
| Dataset Reference: |
Supplementary Appendices: |
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https://ars.els-cdn.com/content/image/1-s2.0-S2352872918300435-mmc1.docx |
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| Copyright information: |
© 2018 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer's Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |