Xin Zheng — Endo Lab

article 2025

Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study

Scientific reports ·doi:10.1038/s41598-025-96093-5

This study aimed to explore potential risk factors for severe endometriosis and to develop a model to predict the risk of severe endometriosis. A total of 308 patients with endometriosis were analyzed. Least absolute shrinkage and selection…

preprint 2024

Identification and Validation of a Novel Machine Learning Model for Predicting Severe Pelvic Endometriosis: A Retrospective Study

·doi:10.21203/rs.3.rs-5309546/v1

Abstract Background Severe endometriosis significantly impacts the quality of life, particularly in women of reproductive age. Though numerous studies have conducted predictive models with preoperative clinical data for endometriosis, mos…

article 2018

Computed Tomography-Guided Superior Hypogastric Plexus Block for Secondary Dysmenorrhea in Perimenopausal Women

Medical science monitor : international medical journal of experimental and clinical research ·doi:10.12659/msm.906970

BACKGROUND Refractory abdominal pain during menstruation severely affects patients' quality of life and simultaneously places enormous psychological burdens on patients and their families. Several treatments for secondary dysmenorrhea are a…

article 1992

Characterization of subendometrial myometrial contractions throughout the menstrual cycle in normal fertile women

·doi:10.1016/0020-7292(92)90413-d

article 1991

Characterization of subendometrial myometrial contractions throughout the menstrual cycle in normal fertile women

·doi:10.1016/s0015-0282(16)54246-0

The objective was to study the characteristics of ultrasonographically detected subendometrial myometrial contractions. The contractions were evaluated by 328 ultrasound scans throughout the menstrual cycle. Reproducibility of these finding…