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 …
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 …
People living with endometriosis, a disease in which tissue similar to the lining of the uterus grows elsewhere in the body, often experience prolonged diagnostic journeys because of symptom variability, …
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 …
To evaluate variation in ovarian preservation and excision of extra-ovarian endometriosis during endometrioma surgery across gynecologic subspecialties.
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, a chronic gynecological disorder, is clinically associated with an increased risk of osteoporosis. While this link has been primarily attributed to hypoestrogenism resulting from the disease process or its …
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 …