Endometriosis is a chronic inflammatory condition associated with debilitating chronic pelvic pain that affects women's quality of life. Several drugs have been used to reduce pain and psychological distress associated …
Endometriosis (EM) is a condition that causes infertility with decreasing uterine receptivity. It is reported that it affects about 20-25% of all infertile women. Some genetic markers play a crucial …
This project developed eligibility criteria for menopausal hormone therapy in patients with medical conditions beyond those published in a previous report. A new consortium of scientific societies coordinated by the …
Reproductive endocrine disorders, including infertility, polycystic ovary syndrome (PCOS), and endometriosis, significantly impact women's reproductive health and overall well-being. This comprehensive review explores the diagnosis and management strategies for these …
We assess racial disparities in medication prescription patterns for endometriosis patients across Medicaid administrative claims data. We use ATC 3rd level drug codes to identify drug classes prescribed significantly more …
There are many histologic types of gynecologic malignancies. I reviewed three rare ovarian tumor types that have poor prognoses. Ovarian mesonephric-like adenocarcinoma (MLA) is a newly described histological type known …
Endometriosis is a chronic disease that affects around 10% of reproductive age women worldwide and a common cause of infertility. One of its manifestations is ovarian endometriomas, which are present …
Endometriosis affects about 10% of women of reproductive age, leading to a disabling gynecologic condition. Chronic pain, inflammation, and oxidative stress have been identified as the molecular pathways involved in …
Background Endometriosis-related infertility and its treatment with assisted reproductive technologies (ART) have been broadly researched. Yet, underlying mechanisms of infertility, particularly in the absence of tubal dysfunction, remain unclear. While …
The development of valuable artificial intelligence (AI) tools to assist with ultrasound diagnosis depends on algorithms developed using high-quality data. This study aimed to test the intra- and interobserver agreement …