Ansatte – Københavns Universitet

Early detection of Alzheimer's disease using MRI hippocampal texture

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippocampal volume. We tested the hypothesis that hippocampal texture has association to early cognitive loss beyond that of volumetric changes. The texture marker was trained and evaluated using T1-weighted MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and subsequently applied to score independent data sets from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and the Metropolit 1953 Danish Male Birth Cohort (Metropolit). Hippocampal texture was superior to volume reduction as predictor of MCI-to-AD conversion in ADNI (area under the receiver operating characteristic curve [AUC] 0.74 vs 0.67; DeLong test, p = 0.005), and provided even better prognostic results in AIBL (AUC 0.83). Hippocampal texture, but not volume, correlated with Addenbrooke's cognitive examination score (Pearson correlation, r = −0.25, p 
OriginalsprogEngelsk
TidsskriftHuman Brain Mapping
Vol/bind37
Udgave nummer3
Sider (fra-til)1148-1161
Antal sider14
ISSN1097-0193
DOI
StatusUdgivet - 2016

    Forskningsområder

  • biomarker, classification, early diagnosis, hippocampus, image analysis, machine learning, magnetic resonance imaging, mild cognitive impairment

ID: 152926457