The Deep Pelvic Endometriosis Index (dPEI) is a preoperative MRI-based score initially validated to predict surgical outcomes in patients undergoing laparoscopic treatment for deep pelvic endometriosis (DPE). Its applicability in …
This study is the first to develop and evaluate a machine learning (ML) model for predicting pelvic adhesions based on ultrasound features, utilizing the SHapley Additive Explanations (SHAP) framework for …
Uterine fibroids and endometriosis are common benign gynecological diseases affecting the health of women of childbearing age, characterized by high incidence and recurrence rates. Despite the increasing global emphasis on …
This study aimed to construct and validate a nomogram for predicting natural pregnancy after hysteroscopy and laparoscopy in patients with tubal infertility and pelvic endometriosis, providing a basis for precise …
Follicle-stimulating hormone receptor (FSHR) is expressed on the plasma membrane of granulosa cells in the ovarian follicles. FSHR is involved in the development and maturation of Graafian follicles, along with …
Studies indicate that endometriosis (EMs) is associated with inflammation and metabolic abnormalities. The Remnant Cholesterol Inflammatory Index (RCII) concurrently reflects both inflammatory and metabolic status. However, the relationship between RCII …
What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was found? AI models can assist with the recognition, segmentation, …
Ovarian endometrioma (OMA) is the most prevalent form of endometriosis. Conservative surgical management of the condition is associated with a relatively high recurrence rate, the degree of which is potentially …
The likelihood of a successful pregnancy is influenced by a set of variables that influence endometrial receptivity, including hormonal, genetic, metabolic, age, lifestyle, and immunological factors. Among these, the endometrial …