Diagnosis of Parkinson syndrome and Lewy-body disease using 123 I-ioflupane images and a model with image features based on machine learning.

Image features such as high or low uptake, symmetry or asymmetry, and comma- or dot-like profiles can be determined using ML. The diagnostic accuracy of differentiating PS/PD/DLB was the highest for the multivariate model with three features and age compared with the conventional ROI-based method.