RESUMO
Objective:To explore the relationship between the changes of anorectal angle (ARA) under 3 physiological states and pelvic organ prolapse(POP) in postpartum women by transperineal ultrasound.Methods:The retrospective study enrolled 147 female in 6-8 weeks after delivery examined by pelvic floor ultrasound examinations in Fujian Medical University Second Affiliated Hospital from November 2019 to June 2021, who were divided into POP group and control group. Volume data of pelvic floor ultrasound examinations were obtained at rest, during contraction and during maximal Valsalva maneuver. The differences in the changes of ARA under 3 physiological states between the two groups were compared, and the correlation between the change state of ARA during maximal Valsalva maneuver and POP was analyzed.Results:Compared with ARA at rest, ARA decreased during contraction (χ 2=42.64, P<0.001) and increased during maximal Valsalva maneuver (χ 2=38.43, P<0.001). There was no difference of ARA between the POP group and control group in the 3 physiological states ( P>0.05). However, the risk of POP increased when ARA decreased during maximal Valsalva maneuver ( OR=2.690, 95% CI=1.074-6.739, P<0.05). Conclusions:The decrease of ARA during maximal Valsalva maneuver may increase the risk of POP, and the change of ARA during maximal Valsalva maneuver can be brought into the ultrasonic observation indicators of POP.
RESUMO
Objective:To explore ultrasonographic diagnostic characteristics of ovarian epithelial tumors and establish prediction models.Methods:The ultrasonographic images of 427 cases from multicenter with ovarian epithelial tumors confirmed by pathology from January 2015 to July 2019 were retrospectively analyzed according to the International Ovarian Tumor Analysis (IOTA). Ultrasonographic signs with distinguishing significance were obtained through univariate analysis and included into multivariate Logistic regression analysis to obtain important ultrasonagraphic indicators for distinguishing borderline, benign and malignant ovarian tumors, and to establish prediction models.Results:The microcystic pattern of papillary projections and solid components was the diagnostic characteristic between borderline and benign, malignant ovarian epithelial tumors( OR value 10.97 and 19.22, respectively). Irregular morphology, septa thickness, solid lesions, rich blood supply and ascites were diagnostic characteristics between benign and malignant tumors, with the irregular morphology having the highest value. Irregular morphology, large papillary, septa thickness and rich blood supply could be used to identify borderline and malignant tumors. At the same time, irregular morphology was the valuable sign to distinguish borderline and benign tumors. In this study, the total coincidence rate of the proposed model was 72.4%, among which the predicted coincidence rate of the borderline model was 57.2%, 78.6% for benign, and 80.7% for malignant. Conclusions:The microcystic pattern of papillary projections and solid components are the specific sonographic characteristics of borderline ovarian tumors. Irregularity, solid lesions, rich blood supply and ascites have important value in differentiating ovarian epithelial tumors. The prediction models of benign, malignant and borderline ovarian tumors in this study have higher diagnostic efficacy.