Abstract #1927

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

Ilaria Ricchi^1,2,3, Ricardo Corredor-Jerez^1,2,3, Thierry Phénix⁴, Mélanie Leroy⁵, Reto Meuli², Jonas Richiardi², Bénédicte Maréchal^1,2,3, 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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