Fig. 6: Cell type modeling can differentiate diffuse vs lymphoid cases with plasma cell counts alone.

A Cell type predictions were made on 58 RA biopsy specimens (n = 5 Pauci-Immune, n = 27 Diffuse, n = 26 Lymphoid) and plots of the Synovial Fibroblasts, Lymphocytes, and Plasma Cells percent of total cells demonstrate the known clinical differences among these pathotypes. Each dot is one human biopsy specimen, Box and Whisker plots are construct by showing the Min, 25th percentile, Median, 75th percentile and Max. All data was not normally distributed. Kruskal–Wallis tests with Dunn’s post hoc were performed. B Using plasma cell counts alone, we can discriminate between diffuse and lymphoid cases with a ROC-AUC of 0.82 ± 0.06 (n = 53). The optimal threshold is 0.82% plasma cells of total cells. C Representative H&E and cell type prediction overlays with low magnification and high magnification images of a pauci-immune case, diffuse case and lymphoid case.