en
Scientific article
Open access
English

Alzheimer resemblance atrophy index, BrainAGE, and normal pressure hydrocephalus score in the prediction of subtle cognitive decline: added value compared to existing MR imaging markers

Published inEuropean radiology, vol. 32, no. 11, p. 7833-7842
Publication date2022-11
First online date2022-04-29
Abstract

Objectives: Established visual brain MRI markers for dementia include hippocampal atrophy (mesio-temporal atrophy MTA), white matter lesions (Fazekas score), and number of cerebral microbleeds (CMBs). We assessed whether novel quantitative, artificial intelligence (AI)-based volumetric scores provide additional value in predicting subsequent cognitive decline in elderly controls.

Methods: A prospective study including 80 individuals (46 females, mean age 73.4 ± 3.5 years). 3T MR imaging was performed at baseline. Extensive neuropsychological assessment was performed at baseline and at 4.5-year follow-up. AI-based volumetric scores were derived from 3DT1: Alzheimer Disease Resemblance Atrophy Index (AD-RAI), Brain Age Gap Estimate (BrainAGE), and normal pressure hydrocephalus (NPH) index. Analyses included regression models between cognitive scores and imaging markers.

Results: AD-RAI score at baseline was associated with Corsi (visuospatial memory) decline (10.6% of cognitive variability in multiple regression models). After inclusion of MTA, CMB, and Fazekas scores simultaneously, the AD-RAI score remained as the sole valid predictor of the cognitive outcome explaining 16.7% of its variability. Its percentage reached 21.4% when amyloid positivity was considered an additional explanatory factor. BrainAGE score was associated with Trail Making B (executive functions) decrease (8.5% of cognitive variability). Among the conventional MRI markers, only the Fazekas score at baseline was positively related to the cognitive outcome (8.7% of cognitive variability). The addition of the BrainAGE score as an independent variable significantly increased the percentage of cognitive variability explained by the regression model (from 8.7 to 14%). The addition of amyloid positivity led to a further increase in this percentage reaching 21.8%.

Conclusions: The AI-based AD-RAI index and BrainAGE scores have limited but significant added value in predicting the subsequent cognitive decline in elderly controls when compared to the established visual MRI markers of brain aging, notably MTA, Fazekas score, and number of CMBs.

Key points: • AD-RAI score at baseline was associated with Corsi score (visuospatial memory) decline. • BrainAGE score was associated with Trail Making B (executive functions) decrease. • AD-RAI index and BrainAGE scores have limited but significant added value in predicting the subsequent cognitive decline in elderly controls when compared to the established visual MRI markers of brain aging, notably MTA, Fazekas score, and number of CMBs.

eng
Keywords
  • Alzheimer
  • BrainAGE
  • MTA
  • Microbleeds
  • Normal-pressure hydrocephalus
  • Aged
  • Alzheimer Disease / diagnostic imaging
  • Alzheimer Disease / pathology
  • Artificial Intelligence
  • Atrophy / pathology
  • Biomarkers
  • Brain / diagnostic imaging
  • Brain / pathology
  • Cognitive Dysfunction / diagnostic imaging
  • Cognitive Dysfunction / pathology
  • Female
  • Humans
  • Hydrocephalus, Normal Pressure / diagnostic imaging
  • Magnetic Resonance Imaging
  • Neuropsychological Tests
  • Prospective Studies
Citation (ISO format)
GIANNAKOPOULOS, Panteleimon et al. Alzheimer resemblance atrophy index, BrainAGE, and normal pressure hydrocephalus score in the prediction of subtle cognitive decline: added value compared to existing MR imaging markers. In: European radiology, 2022, vol. 32, n° 11, p. 7833–7842. doi: 10.1007/s00330-022-08798-0
Main files (1)
Article (Published version)
Secondary files (1)
Identifiers
ISSN of the journal0938-7994
222views
22downloads

Technical informations

Creation09/19/2022 12:10:00 AM
First validation09/19/2022 12:10:00 AM
Update time03/16/2023 10:35:05 AM
Status update03/16/2023 10:35:04 AM
Last indexation02/01/2024 9:33:07 AM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack