Abstract #4125

Diagnostic Decision Support in Alzheimer’s Disease: Predicting Typical and Mixed Forms from Combined Routine Brain Volumetry and Cognitive Assessment

Alexis Roche^1,2,3, Daniel Damian⁴, Frédéric Pedron¹, Bénédicte Maréchal^1,2,3, Patric Hagmann¹, Philippe Maeder¹, Reto Meuli¹, Tobias Kober^1,2,3, and Jean-François Démonet⁴

¹Department of Radiology, CHUV, Lausanne, Switzerland, ²Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, ³LTS5, EPFL, Lausanne, Switzerland, ⁴Leenaards Memory Centre, CHUV, Lausanne, Switzerland

We implemented an automated classifier using T1-weighted magnetic resonance imaging-based brain volumetry and the Montreal Cognitive Assessment test to predict whether patients of a University Memory Clinic with suspected neurocognitive disorders have subjective complaints, or suffer from either typical or mixed forms of Alzheimer's disease. The classifier achieved an accuracy of 80.8% and was found to require both psychometric and brain morphometric data to perform best.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.