European journal of nuclear medicine and molecular imaging
Machine learning for automated differentiation of parkinson's disease and its mimics using ¹²³I-mIBG scintigraphy: insights from a multicentre real-world cohort (ITA-mIBG study).
Luca Filippi, Francesco Bianconi, Viviana Frantellizzi, Cristina Ferrari, Andrea Marongiu, Maria Silvia De Feo, Claudia Battisti, Gayane Aghakhanyan, Maria Gazzilli, Nicoletta Urbano, Susanna Nuvoli, Duccio Volterrani, Mario Luca Fravolini, Giuseppe Rubini, Giuseppe De Vincentis
Published: 202610.1007/s00259-025-07729-7
Abstract
PURPOSE: To assess machine learning (ML) classifiers trained on harmonised multicentre ¹²³I-mIBG planar scintigraphy for differentiating Parkinson's disease (PD) from non-PD parkinsonian syndromes and to determine whether early imaging alone may ensu…
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