Spss software ver 18.0

A comparative analysis was conducted between the control and PR groups using the t-test or Fisher's exact test for normally distributed and the Mann-Whitney U test for non-normally distributed baseline PFT, VAS, and mBS data. The Wilcoxon signed-rank test was used to compare the parameters at follow-up. Values are presented as mean±standard deviation, numbers (%), or medians (25th-75th percentile). All statistical tests were conducted using SPSS software ver. 18.0 (SPSS Inc., Chicago, IL, USA).

SPSS software ver. 18.0 (SPSS Inc., Chicago, IL, USA) was used for statistical analyses. The primary end-point of this study was DFS. The secondary end-points were the rate of the overall relapse, locoregional recurrence, distant metastasis, and OS. Locoregional recurrence was defined as the reappearance of tumor in the ipsilateral breast/chest wall and/or ipsilateral regional lymph nodes. Distant metastasis was defined as tumor spread to distant organs or lymph nodes.
The Fisher exact test was used in evaluating the clinical factors related to LVI and recurrence. The Kaplan-Meier method was utilized for the univariate analysis of survival. The log-rank test was used in finding the prognostic factors. The Cox-regression test was utilized for the multivariate analysis of survival. A multivariate analysis of the statistically significant factors (p < 0.05) in a univariate analysis was performed using the Cox model.

The Kolmogorov-Smirnov Z-test was applied to identify the normal distribution of variables. Pearson’s correlation coefficients were calculated to identify the correlations between FSFI scores and vaginal morphology and PFM strength. A correlation coefficient (r) of >0.75 was considered “good to excellent”, 0.50-0.75 was “moderate to good”, 0.25-0.50 was “fair”, and 0.00-0.25 was “little or no” relationship [20 ]. For secondary analysis, multiple regression models using stepwise selection included age, body mass index, duration of symptoms, PFM strength, vaginal volume, and vaginal resting tone as independent variables, with FSFI domains as dependent variables. The coefficient of determination (R2) showed the explanatory power of the variables. If a statistically significant correlation between vaginal morphology and FSFI was confirmed using Pearson’s correlation, the cutoff value was determined with a decision tree. A decision tree analysis was used to identify factors that predicted sexual dysfunction. The conditions of the decision tree analysis were as follows: maximization of the decrease in impurity (minimization of the Gini index); minimum value of the parent node, 10; and minimum value of the child node, 5. All statistical analyses were performed using SPSS software (ver. 18.0; SPSS Inc., Chicago, IL, USA) with alpha set at 0.05.

All analyses were performed using Statistical Package for Social Sciences (SPSS) software ver. 18.0 (SPSS Inc., Chicago, IL, USA). A paired t-test was used to compare within-group changes in the measured parameters, and an independent t-test was conducted to determine statistical differences in the variables between the 2 groups. The statistical differences of each segment in terms of the Doppler activity data were analyzed using repeated measures ANOVA. Values are presented as mean±standard deviation, and p<0.05 was considered statistically significant.