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 …
Endometriosis, once considered rare in adolescents, is now recognized as a common cause of chronic pelvic pain and dysmenorrhea in individuals aged 10-21. This state-of-the-art review explores the evolution of …
Is telehealth cognitive behavioural therapy (CBT) or yoga effective in improving health-related quality of life (HRQoL) and secondary outcomes for endometriosis?
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 …
Endometriosis is a benign, estrogen-dependent condition affecting 6%-10% of women of reproductive age, typically involving pelvic organs but occasionally presenting in extrapelvic locations such as the umbilicus. We report a …
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 …
Endometriosis is a gynecological inflammatory disease characterized by the presence of ectopic endometrial-like tissue. This study aims to elucidate the effect of hormonal treatment in human endometriosis inflammation, angiogenesis and …
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 …
Endometriosis affects an estimated 25% to 75% of adolescent patients with chronic pelvic pain; the diagnosis is made surgically and treatment typically consists of hormone suppression and pain management strategies. …
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 …