MRI-AI model may help distinguish Parkinson’s, atypical parkinsonism

MRI-AI model may help distinguish Parkinson’s, atypical parkinsonism

Publication date: Mar 25, 2025

Based on a consensus clinical diagnosis from three independent neurologists, 99 patients in the study were diagnosed with Parkinson’s, 97 with PSP, and 53 with MSA. This represented a 12. 3% gain in obtaining a correct diagnosis compared with a diagnosis based on clinical criteria, the researchers noted. -The results of this study are exciting progress [toward] a noninvasive and clinically scalable solution to help improve diagnosis,” Diaz said. In this study, scientists assessed Neuropacs’ AI technology in 249 patients at 21 Parkinson Study Group centers – 19 in the U. S. and two in Canada. As such, there is a need to develop clinical biomarkers that can help guide clinicians in reaching a more specific diagnosis. The researchers further confirmed the model predictions by analyzing brain tissue obtained from 49 patient autopsies, with about three years separating the last imaging scan and the individual’s death. It is estimated that as many as 45% of patients initially diagnosed with Parkinson’s are later found to have another type of parkinsonism.

Concepts Keywords
Canada Atypical
Florida Based
Men Care
Nonprofit Clinical
Parkinsonismpatient Conditions
Confirmed
Diagnosis
Distinguishing
Msa
Neurological
Neuropacs
Parkinsonism
Parkinsons
Psp
Study

Semantics

Type Source Name
disease MESH Stroke
drug DRUGBANK Water
disease MESH Neurological Disorders
pathway REACTOME Release
disease MESH death
disease MESH progressive supranuclear palsy
disease MESH multiple system atrophy
disease MESH parkinsonism
disease MESH Parkinson’s disease

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