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.