Introduction: The loss of nigrosome-1 which is also referred to as the swallow tail sign (STS) in T2* weighted iron-sensitive magnetic resonance imaging (MRI) has recently emerged as a new biomarker for idiopathic Parkinson’s disease (IPD). However, consistent recognition of the STS is difficult due to individual variations and different imaging parameters. Radiomics might have the potential to overcome these shortcomings. Therefore, we chose to explore whether radiomic features of nigrosome-1 of substantia nigra (SN) based on quantitative susceptibility mapping (QSM) could help to differentiate IPD patients from healthy controls (HCs).
Methods: Three-dimensional multi-echo gradient-recalled echo images (0.86×0.86×1.00 mm3) were obtained at 3.0 T MRI for QSM in 87 IPD patients and 77 HCs. Regions of interest (ROIs) of the SN below the red nucleus were manually drawn on both sides, and subsequently, volumes of interest (VOIs) were segmented (these ROIs included 4 1mm slices). Then, 105 radiomic features (including 18 histogram features, 13 shape features, 74 texture features) of bilateral VOIs in the two groups were extracted. Forty features were selected according to the ensemble feature selection method which combined analysis of variance, random forest and recursive feature elimination. The selected features were further utilized to distinguish IPD patients from HC using SVM classifier with 10 rounds of 3-fold cross-validation. Finally, the representative features were analyzed using an unpaired t-test with Bonferroni correction and correlated with the UPDRS-III scores.
Results: The classification results from SVM were: area under curve (AUC): 0.96±0.02; accuracy: 0.88±0.03; sensitivity: 0.89±0.06; and specificity: 0.87±0.07. Five representative features were selected to show their detailed difference between IPD patients and HCs: 10 Percentile and Median in IPD patients were higher than those in HCs (all p

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