Comparison of automated and manual quantification methods for neuromelanin-sensitive MRI in Parkinson's disease.

ABSTRACT: Neuromelanin-sensitive magnetic resonance imaging quantitative analysis methods have provided promising biomarkers that can noninvasively quantify degeneration of the substantia nigra in patients with Parkinson's disease. However, there is a need to systematically evaluate the performance of manual and automated quantification approaches. We evaluate whether spatial, signal-intensity, or subject specific abnormality measures using either atlas based or manually traced identification of the substantia nigra better differentiate patients with Parkinson's disease from healthy controls using logistic regression models and receiver operating characteristics. Inference was performed using bootstrap analyses to calculate 95% confidence interval bounds. Pairwise comparisons were performed by gener

SUBMITTER: Shaff N 

PROVIDER: S-EPMC10789205 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature