Work

Value of endometrial peristalsis analysis technique in detecting and analyzing endometrial peristalsis features

Year: 2025

Type: article

Abstract: BACKGROUND: Endometrial peristalsis (EmP) has been considered as a new indicator for evaluating endometrial receptivity and is associated with embryo implantation rate and successful pregnancy rate. However, EmP remains understudied, inconsistently measured, and poorly understood. New methods are needed urgently for better clinical practice. AIM: To explore the value of EmP analysis (EmPA) technique in detecting and analyzing EmP features automatically and quantitatively. METHODS: One hundred and forty-five patients without abnormal findings on conventional transvaginal ultrasound were included in this study. A mid sagittal plane of uterus was recorded for 2 minutes in each patient and EmP features were analyzed using EmPA technique. EmP features in 50 patients were also analyzed by naked eyes analysis and the results of two methods were compared. RESULTS: EmPA was unsuccessful in 9 patients (9/145, 6.21%) due to the interference of respiratory or intestinal movement and was successful in 136 patients (136/145, 93.79%), of whom 21 patients showed no EmP and 115 patients underwent EmPA and obtained quantitative results. The results of EmPA technique and naked eyes analysis about EmP intensity and transfer time had no significant consistence. Menstrual cycle, uterine position and history of induced abortion affected the quantitative results of EmPA. CONCLUSION: EmPA technique provides noninvasive, quantitative and accurate detection and analysis of EmP in normal population and can evaluate EmP changes associated with menstrual cycle, uterine position and history of induced abortion.

Source: World Journal of Radiology

DOI: 10.4329/wjr.v17.i9.111215

Authors: Hui-Ping Zhang, Miao-Ling Chen, Sheng-Lin Xue, Jie Zou, Jing-Jing Wu, Yu-Qing Zhou

Institutions: Shanghai Changning Maternity and Infant Health Hospital, East China Normal University

Language: English

Topic: Reproductive System and Pregnancy

Subfield: Immunology

Field: Immunology and Microbiology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: National Institutes of Health