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
SN - 2352-8729
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
ER -