Assisted Parkinsonism Diagnosis Using Multimodal MRI-The Role of Clinical Insights.

ABSTRACT:

Background

While automated methods for differential diagnosis of parkinsonian syndromes based on MRI imaging have been introduced, their implementation in clinical practice still underlies considerable challenges.

Objective

To assess whether the performance of classifiers based on imaging derived biomarkers is improved with the addition of basic clinical information and to provide a practical solution to address the insecurity of classification results due to the uncertain clinical diagnosis they are based on.

Methods

Retro- and prospectively collected data from multimodal MRI and standardized clinical datasets of 229 patients with PD (n = 167), PSP (n = 44), or MSA (n = 18) underwent multinomial classification in a benchmark study comparing the performance of nine ma

SUBMITTER: Meindl T 

PROVIDER: S-EPMC11743991 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature