title: Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment.
abstract: MRI-based hippocampus volume, a core feasible biomarker of Alzheimer's disease (AD), is not yet widely used in clinical patient care, partly due to lack of validation of software tools for hippocampal volumetry that are compatible with routine workflow. Here, we evaluate fully-automated and computationally efficient hippocampal volumetry with FSL-FIRST for prediction of AD dementia (ADD) in subjects with amnestic mild cognitive impairment (aMCI) from phase 1 of the Alzheimer's Disease Neuroimaging Initiative. Receiver operating characteristic analysis of FSL-FIRST hippocampal volume (corrected for head size and age) revealed an area under the curve of 0.79, 0.70, and 0.70 for prediction of aMCI-to-ADD conversion within 12, 24, or 36 months, respectively. Thus, FSL-FIRST provides about the same power for prediction of progression to ADD in aMCI as other volumetry methods.
authors.affiliation: Department of Nuclear Medicine, Charité, Berlin, Germany.|Jung diagnostics GmbH, Hamburg, Germany.
authors.forename: Per
authors.initials: P
authors.lastname: Suppa
authors.affiliation: Université Pierre et Marie Curie, Institut de la Mémoire et de la Maladie d'Alzheimer & INSERM U1127, Institut du Cerveau et de la Moelle épinière (ICM), Département de Neurologie, Hôpital de la Pitié-Salpétrière, Paris, France.
authors.forename: Harald
authors.initials: H
authors.lastname: Hampel
authors.affiliation: Jung diagnostics GmbH, Hamburg, Germany.
authors.forename: Timo
authors.initials: T
authors.lastname: Kepp
authors.affiliation: Department of Nuclear Medicine, Charité, Berlin, Germany.
authors.forename: Catharina
authors.initials: C
authors.lastname: Lange
authors.affiliation: Jung diagnostics GmbH, Hamburg, Germany.
authors.forename: Lothar
authors.initials: L
authors.lastname: Spies
authors.affiliation: Center for Stroke Research Berlin, Charité, Berlin, Germany.
authors.forename: Jochen B
authors.initials: JB
authors.lastname: Fiebach
authors.affiliation: Université Pierre et Marie Curie, Institut de la Mémoire et de la Maladie d'Alzheimer & INSERM U1127, Institut du Cerveau et de la Moelle épinière (ICM), Département de Neurologie, Hôpital de la Pitié-Salpétrière, Paris, France.
authors.forename: Bruno
authors.initials: B
authors.lastname: Dubois
authors.affiliation: Department of Nuclear Medicine, Charité, Berlin, Germany.
authors.forename: Ralph
authors.initials: R
authors.lastname: Buchert
mesh_terms: D000368:Aged; D000375:Aging / Q000473:pathology; D000544:Alzheimer Disease / Q000000981:diagnostic imaging* / Q000473:pathology; D019540:Area Under Curve; D060825:Cognitive Dysfunction / Q000000981:diagnostic imaging* / Q000473:pathology; D016208:Databases, Factual; D018450:Disease Progression; D006624:Hippocampus / Q000000981:diagnostic imaging* / Q000473:pathology; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009483:Neuropsychological Tests; D009929:Organ Size; D010363:Pattern Recognition, Automated / Q000379:methods*; D011379:Prognosis; D012372:ROC Curve; D015203:Reproducibility of Results; D012306:Risk; D012680:Sensitivity and Specificity; D013997:Time Factors
keywords: ADNI; Alzheimer’s disease; FSL-FIRST; aMCI-to-Alzheimer’s disease dementia conversion; amnestic mild cognitive impairment; fully-automated; hippocampal volumetry; magnetic resonance imaging; model-based segmentation; prediction