NeuralCipher Research overview
The text below is the source article’s original abstract under a verified reuse license. cc by
Abstract Background Nigrosome-1 (N1) is one of the earliest regions affected in Parkinson's disease (PD) and can be visualized on 3.0-T susceptibility-weighted imaging (SWI) as the swallow tail sign (STS). This study investigated the associations of visual STS assessment and N1-derived radiomic features with clinical characteristics in PD. Methods In this retrospective study, 83 patients with PD who underwent 3.0-T SWI and clinical evaluation were included. Patients were categorized according to STS visualization as having total absence or non-total absence of dorsolateral nigral hyperintensity. The N1 region was manually segmented on SWI, and 107 radiomic features were extracted. Least bsolute shrinkage and selection operator (LASSO) regression was applied for radiomic feature selection. Based on the selected features, three machine learning classifiers—LASSO-logistic regression (LASSO LR), the random forest, and a linear support vector machine (linear SVM)—were constructed and compared. Results STS visualization was significantly associated with clinical severity indicators, including Hoehn-Yahr (H-Y) stage, MDS-UPDRS II score, rigidity score, and plasma iron level (P
Scientific assessment
Research question
Assess the question within the original study’s scope.
Methods & sample
Check the source article for study design and sample details.
Key findings
An editorially approved findings summary is not yet published for this record.
Limitations
Generalizability, bias and clinical meaning require separate assessment.
Methods, samples and clinical conclusions are not inferred from bibliographic metadata.