Advanced

Automatic temporal lobe atrophy assessment in prodromal AD: Data from the DESCRIPA study

Chincarini, Andrea; Bosco, Paolo; Gemme, Gianluca; Esposito, Mario; Rei, Luca; Squarcia, Sandro; Bellotti, Roberto; Minthon, Lennart LU ; Frisoni, Giovanni and Scheltens, Philip, et al. (2014) In Alzheimer's & Dementia 10(4). p.456-467
Abstract
Background: In the framework of the clinical validation of research tools, this investigation presents a validation study of an automatic medial temporal lobe atrophy measure that is applied to a naturalistic population sampled from memory clinic patients across Europe. Methods: The procedure was developed on 1.5-T magnetic resonance images from the Alzheimer's Disease Neuroimaging Initiative database, and it was validated on an independent data set coming from the DESCRIPA study. All images underwent an automatic processing procedure to assess tissue atrophy that was targeted at the hippocampal region. For each subject, the procedure returns a classification index. Once provided with the clinical assessment at baseline and follow-up,... (More)
Background: In the framework of the clinical validation of research tools, this investigation presents a validation study of an automatic medial temporal lobe atrophy measure that is applied to a naturalistic population sampled from memory clinic patients across Europe. Methods: The procedure was developed on 1.5-T magnetic resonance images from the Alzheimer's Disease Neuroimaging Initiative database, and it was validated on an independent data set coming from the DESCRIPA study. All images underwent an automatic processing procedure to assess tissue atrophy that was targeted at the hippocampal region. For each subject, the procedure returns a classification index. Once provided with the clinical assessment at baseline and follow-up, subjects were grouped into cohorts to assess classification performance. Each cohort was divided into converters (co) and nonconverters (nc) depending on the clinical outcome at follow-up visit. Results: We found the area under the receiver operating characteristic curve (AUC) was 0.81 for all co versus nc subjects, and AUC was 0.90 for subjective memory complaint (SMCnc) versus all co subjects. Furthermore, when training on mild cognitive impairment (MCI-nc/MCI-co), the classification performance generally exceeds that found when training on controls versus Alzheimer's disease (CTRL/AD). Conclusions: Automatic magnetic resonance imaging analysis may assist clinical classification of subjects in a memory clinic setting even when images are not specifically acquired for automatic analysis. (C) 2014 The Alzheimer's Association. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
, et al. (More)
(Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
MRI, Image analysis, Memory clinics, Naturalistic population, Alzheimer's disease, Medial temporal lobe, Hippocampus
in
Alzheimer's & Dementia
volume
10
issue
4
pages
456 - 467
publisher
Elsevier
external identifiers
  • wos:000338915500005
  • scopus:84903714501
ISSN
1552-5279
DOI
10.1016/j.jalz.2013.05.1774
language
English
LU publication?
yes
id
c7c05fdc-b01b-4399-a236-4ab03dc67909 (old id 4598971)
date added to LUP
2014-09-05 09:09:08
date last changed
2017-08-27 03:06:27
@article{c7c05fdc-b01b-4399-a236-4ab03dc67909,
  abstract     = {Background: In the framework of the clinical validation of research tools, this investigation presents a validation study of an automatic medial temporal lobe atrophy measure that is applied to a naturalistic population sampled from memory clinic patients across Europe. Methods: The procedure was developed on 1.5-T magnetic resonance images from the Alzheimer's Disease Neuroimaging Initiative database, and it was validated on an independent data set coming from the DESCRIPA study. All images underwent an automatic processing procedure to assess tissue atrophy that was targeted at the hippocampal region. For each subject, the procedure returns a classification index. Once provided with the clinical assessment at baseline and follow-up, subjects were grouped into cohorts to assess classification performance. Each cohort was divided into converters (co) and nonconverters (nc) depending on the clinical outcome at follow-up visit. Results: We found the area under the receiver operating characteristic curve (AUC) was 0.81 for all co versus nc subjects, and AUC was 0.90 for subjective memory complaint (SMCnc) versus all co subjects. Furthermore, when training on mild cognitive impairment (MCI-nc/MCI-co), the classification performance generally exceeds that found when training on controls versus Alzheimer's disease (CTRL/AD). Conclusions: Automatic magnetic resonance imaging analysis may assist clinical classification of subjects in a memory clinic setting even when images are not specifically acquired for automatic analysis. (C) 2014 The Alzheimer's Association. All rights reserved.},
  author       = {Chincarini, Andrea and Bosco, Paolo and Gemme, Gianluca and Esposito, Mario and Rei, Luca and Squarcia, Sandro and Bellotti, Roberto and Minthon, Lennart and Frisoni, Giovanni and Scheltens, Philip and Froelich, Lutz and Soininen, Hilkka and Visser, Pieter-Jelle and Nobili, Flavio},
  issn         = {1552-5279},
  keyword      = {MRI,Image analysis,Memory clinics,Naturalistic population,Alzheimer's disease,Medial temporal lobe,Hippocampus},
  language     = {eng},
  number       = {4},
  pages        = {456--467},
  publisher    = {Elsevier},
  series       = {Alzheimer's & Dementia},
  title        = {Automatic temporal lobe atrophy assessment in prodromal AD: Data from the DESCRIPA study},
  url          = {http://dx.doi.org/10.1016/j.jalz.2013.05.1774},
  volume       = {10},
  year         = {2014},
}