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Abstract #1927

Volumetric analysis of brain MRI to distinguish healthy controls from AD and MCI patients  according to ATN classification 

Ilaria Ricchi1,2,3, Ricardo Corredor-Jerez1,2,3, Thierry Phénix4, Mélanie Leroy5, Reto Meuli2, Jonas Richiardi2, Bénédicte Maréchal1,2,3, and Jean-François Demonet4
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Dept. of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Leenaards Memory Centre CHUV Lausanne University, Lausanne, Switzerland, 5Lille Neuroscience & Cognition, Lille University, Inserm University Hospital CHU, Lille, France

The Amyloid, Tau, Neurodegeneration (ATN) classification model is defined by the concentration of biomarkers in the cerebrospinal fluid (CSF) and the positivity of imaging markers using MR or PET imaging. Despite the CSF biomarkers requiring an invasive procedure, they are good predictors for Alzheimer’s Disease. We investigate the contribution of automated brain MR morphometry analysis to discriminate between healthy subjects and dementia patients according to the ATN classification. Hippocampal and temporal gray matter volumes allow a substantial distinction between healthy participants with amyloid negativity and patients with an Alzheimer’s CSF profile in the T category.

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