Statistical methods
Continuous data are summarized by the mean ± standard deviation and count data are summarized by proportion. One-way ANOVA test and chi square test were used to examine the differences in baseline characteristics (age, the rates of dysmenorrhea, menorrhagia and endometriosis, uterus position, adenomyosis location, subcutaneous fat thickness, uterus volume, adenomyosis volume) between FUAS group and FUAS+ group, and to identify the differences in baseline characteristics among subtypes in the optimal classification. Chi square test was used to examine the ability of the classification for differentiating pain relief after FUAS, among which the one that produced the largest chi square value was identified as the optimal classification. The cox regression logistic mode was used to analyze the correlation of baseline characteristics (age, the rates of dysmenorrhea, menorrhagia and endometriosis, uterus position, adenomyosis location, subcutaneous fat thickness, uterus volume, adenomyosis volume), FUAS parameters (total ablation time, sonication time, average sonication power, sonication energy, sonication volume, NPV ratio) and recurrence rate after FUAS. Magnitude of classification relating to timing of recurrence was measured by cox regression with hazard ratio (HR) and 95% CI. K-M curve was applied to estimate the median recurrence time of the optimal classification subtypes for adenomyosis. All analyses were performed in FUAS group and FUAS+ group separately. Statistical analysis was completed with SPSS 22.0 (IBM, Armonk, NY), and p<0.05 was defined as statistically significant.