Title :

Quantitative susceptibility mapping demonstrates different patterns of iron overload in subtypes of early-onset Alzheimer's disease.

Author(s) :

Kuchcinski, Gregory [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Patin, L. [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Lopes, Renaud [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Leroy, Mélanie [Auteur]
Delbeuck, X. [Auteur]
Rollin-Sillaire, A. [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Lebouvier, Thibaud [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Wang, Y. [Auteur]
Weill Medical College of Cornell University [New York]
Spincemaille, P. [Auteur]
Weill Medical College of Cornell University [New York]
Tourdias, T. [Auteur]
Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]
Hacein-Bey, L. [Auteur]
University of California [Davis] [UC Davis]
Devos, David [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Pasquier, Florence [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Leclerc, Xavier [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Pruvo, Jean-Pierre [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Verclytte, S. [Auteur]
Université catholique de Lille [UCL]

Journal title :

European Radiology

Abbreviated title :

Eur Radiol

Volume number :

33

Pages :

184–195

Publisher :

Springer Verlag

Publication date :

2022-07-28

ISSN :

1432-1084

Keyword(s) :

Alzheimer disease
Magnetic resonance imaging
Iron
Quantitative susceptibility mapping
Atrophy

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Objectives We aimed to define brain iron distribution patterns in subtypes of early-onset Alzheimer’s disease (EOAD) by the use of quantitative susceptibility mapping (QSM). Methods EOAD patients prospectively ...
Show more >Objectives We aimed to define brain iron distribution patterns in subtypes of early-onset Alzheimer’s disease (EOAD) by the use of quantitative susceptibility mapping (QSM). Methods EOAD patients prospectively underwent MRI on a 3-T scanner and concomitant clinical and neuropsychological evaluation, between 2016 and 2019. An age-matched control group was constituted of cognitively healthy participants at risk of developing AD. Volumetry of the hippocampus and cerebral cortex was performed on 3DT1 images. EOAD subtypes were defined according to the hippocampal to cortical volume ratio (HV:CTV). Limbic-predominant atrophy (LPMRI) is referred to HV:CTV ratios below the 25th percentile, hippocampal-sparing (HpSpMRI) above the 75th percentile, and typical-AD between the 25th and 75th percentile. Brain iron was estimated using QSM. QSM analyses were made voxel-wise and in 7 regions of interest within deep gray nuclei and limbic structures. Iron distribution in EOAD subtypes and controls was compared using an ANOVA. Results Sixty-eight EOAD patients and 43 controls were evaluated. QSM values were significantly higher in deep gray nuclei (p < 0.001) and limbic structures (p = 0.04) of EOAD patients compared to controls. Among EOAD subtypes, HpSpMRI had the highest QSM values in deep gray nuclei (p < 0.001) whereas the highest QSM values in limbic structures were observed in LPMRI (p = 0.005). QSM in deep gray nuclei had an AUC = 0.92 in discriminating HpSpMRI and controls. Conclusions In early-onset Alzheimer’s disease patients, we observed significant variations of iron distribution reflecting the pattern of brain atrophy. Iron overload in deep gray nuclei could help to identify patients with atypical presentation of Alzheimer’s disease.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Submission date :

2024-01-16T00:57:27Z
2024-11-27T11:02:06Z