Spss statistic software version 26

No sample size calculation was performed due to the retrospective design of the study. Continuous variables are expressed as mean ± SD or as medians with interquartile range (IQR) as appropriate, whereas categorical variables are expressed as frequencies with percentages. For categorical data, the χ² tests with Yates correction in 2–3–2 contingency tables was used. The t-Student paired test was used to compare mean values and, when appropriated, the Cohen’s D effect size was additionally calculated to describe the standardized differences between two means. The Wilcoxon test was used to compare medians. In general, a two-sided p value < 0.05 was considered as statistically significant. The statistical analysis was conducted using SPSS Statistic software version 26.0 (IBM Corporation, Armonk, NY, USA) and Stata 14.0 (Stata Corp, College Station, TX).

Statistical analyses and figure preparation were conducted using IBM SPSS statistic software Version 26.0. Descriptive statistics included patient gender and age, fluorescence status, WHO tumor grade/subtype and IDH mutational status. The distribution of mRNA expression between fluorescing and non-fluorescing samples was analyzed using the unpaired t-test, while statistical testing of protein expression was performed using the Kendall-tau-b-test. In order to investigate the rate of successful mRNA to protein conversion, Kendall-tau-b coefficients of mRNA and protein expression levels were investigated. Statistical significance was assumed at the commonly applied threshold of p < 0.05.

As a part of a retrospective internal “quality-control study”, the statistical analyses performed were primarily descriptive. No sample size calculation was performed due to the retrospective design of the study. Continuous variables are expressed as mean ± SD or as medians with interquartile range (IQR) as appropriate, whereas categorical variables are expressed as frequencies with percentages. Mismatches over resection periods were analyzed by the Welch’s (unequal variances) t test. A two-sided p value < 0.05 was considered as statistically significant. The statistical analysis was conducted using SPSS Statistic software version 26.0 (IBM Corporation, Armonk, NY, USA).