Fig. 2: Performance comparisons with state-of-the-art and ground truth. | Nature Communications

Fig. 2: Performance comparisons with state-of-the-art and ground truth.

From: Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research

Fig. 2

A Boxplot displaying Lesion Load estimates (mm3) and distributions measured using ground truth manual delineations (grey), MindGlide (blue) and Freesurfer’s SAMSEG (orange). Lesion load estimates between Ground truth and SAMSEG and MindGlide and SAMSEG methods were significantly different (paired t-tests). B Boxplot displaying Dice scores, Sensitivity and Precision measurements for both MindGlide (blue) and SAMSEG (orange) delineated lesions. ***P < 0.001, **P < 0.01, *P < 0.05. For (A) and (B) we used two openly available lesion segmentation datasets comprising 50 brain MRI images and segmentation masks as ground truth comparators (N = 50, see Supplementary methods)38,39. In (C) we calculated Spearman’s correlation coefficients for regional brain volumes obtained from MindGlide and Fressurfer’s SAMSEG and WMH-Synthseg against the expanded disability status scale (EDSS). The analysis evaluates correlations of lesion, deep grey matter (DGM), and cortical grey matter (CGM) volumes with EDSS, across FLAIR and T2 MRI contrasts. As a ground truth comparator for the correlation between lesion volume and EDSS we used manually labelled lesions by expert neuroradiologists. For all tested regions and contrasts MindGlide’s output shows on average higher correlations with EDSS scores except for CGM in T2 (although as shown, they are not statistically significantly different across software). Error bars represent 95% CI. Data are presented as boxplots where the black line on the centre of the boxplot represents the median, the box encloses the lower and upper quartiles, and the whiskers extend to the minimum and maximum values within a range of 1.5 times the interquartile range. Values outside 1.5 times the interquartile range are displayed as black dots. For (C) we used the baseline images of our PPMS dataset (N = 699) and data are represented as Spearman’s correlation coefficients and error bars indicate 95% confidence intervals. GT ground truth (manually labelled lesion segmentation by expert neuroradiologists). Source data are provided as a Source Data file.

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