Endometriosis is a chronic condition affecting women of reproductive age and often associated with pain, impaired fertility, and reduced quality of life. Management requires long-term strategies, with medical treatment preferred …
Endometriosis is a hormone-dependent gynecological disease manifested by cyclic pelvic pain and female infertility. Although many studies have shown that neoangiogenesis plays an essential role in the development of early …
Endocrine disrupting chemicals (EDCs) have been associated with disorders affecting female reproductive health, although the precise causal connections and underlying pathways between these substances and such disorders remain incompletely elucidated. …
Spontaneous uterine rupture in an unscarred uterus is a rare but life-threatening obstetric emergency, and endometriosis has increasingly been recognized as a potential risk factor. We report a 33-year-old primigravid …
Endometriosis (EDT) is a chronic, estrogen-dependent disease characterized by inflammation, fibrosis, pelvic pain, and infertility. Current therapies show limited long-term efficacy and adverse effects, underscoring the need for novel therapeutic …
Growing evidence suggests that women with endometriosis may be particularly vulnerable to disordered eating behaviors (DEBs) and clinically defined eating disorders (EDs). This narrative review aims at integrating and critically …
The reproductive tract microbiome plays a pivotal role in female fertility, with Lactobacillus-dominated communities maintaining a protective, low-pH environment. Dysbiosis-characterized by a reduction in Lactobacillus species and overgrowth of anaerobes-is …
Intestinal stenosis secondary to deep endometriosis grade four is an uncommon presentation that often leads to delayed diagnosis and challenging therapeutic decisions. We report the case of a 41-year-old woman …
Endometriosis is a prevalent gynecological condition affecting approximately 10% of women of reproductive age and up to 50% of those with infertility. It is characterized by the presence of endometrial-like …
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 …