Statistical analysis was performed using SAS version 9.4 (SAS Institute, Cary, USA) and R 3.6.1 (Vienna, Austria; http://www.R-project.org/) with the “irr” and “psych” packages. For statistical analyses, a score of less than 1% was regarded as 0%. The intraclass correlation coefficient (ICC) was used to assess the interobserver variability for continuous scores of both ICs and TCs. The Fleiss κ statistic (FKS) was used to assess the interobserver variability for categorical scores after dichotomization based on the cutoff values of 1%, 10%, and 50%. The FKSs and ICCs below 0.50 were considered poor, those between 0.50 and 0.75 were considered moderate, those between 0.75 and 0.90 were considered good, and those above 0.90 were considered excellent. To assess the inter-assay variability, we initially determined the mean score of the 10 pathologists for each assay and compared each antibody in pairwise comparisons to show the mean difference of each antibody; then, the Wilcoxon signed rank test and a mixed effects model were used to determine the statistical significance. The intraobserver reproducibility was assessed using pairwise comparisons and OPA. Statistical significance was set at p < 0.05.

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