Peer-Reviewed Publication
Front Radiol2026;61667306.January 1, 2026Journal Article
MRI approach to the patient with suspected dementia: artificial intelligence techniques and semi-quantitative rating scales compared.
S F Calloni1, A Diena1, G M Agazzi1, M Zavarella2, P Q Vezzulli1, G Cecchetti2,3,4, E G Spinelli3,4,5, G Rugarli2,4,5, A Ghirelli2,4,5, G Magnani6, F Caso6, A van Loon7, F Agosta4,5,6,8, M Filippi2,3,4,5,6,8,9, A Falini1,4
1Neuroradiology Unit and Cermac, IRCCS Ospedale San Raffaele, Milan, Italy.
2Center for Alzheimer's Disease and Related Disorders (CARD), Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
3Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
4Vita-Salute San Raffaele University, Milan, Italy.
5Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
6Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
7DeepHealth, Boston, MA, United States.
8Neurotech Hub, Vita-Salute San Raffaele University, Milan, Italy.
9Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Abstract
OBJECTIVES: To assess the reliability of semi-quantitative and AI-based quantitative brain volume evaluation (Quantib® ND) in predicting clinical diagnosis in patients with suspected neurodegenerative diseases undergoing initial 1.5 T MRI. Additionally, to analyze the frequency of lobar microbleeds (MBs) at diagnosis.
METHODS: Two neuroradiologists (2 vs. 10 years' experience), blinded to diagnos…
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