Endometriosis presents as endometrial tissue growths outside the uterine cavity with its major symptoms including dysmenorrhea and infertility. Progestin preparations, such as dienogest, are the first-line therapy for endometriosis symptoms, …
Endometriosis significantly impacts the physical and mental health of women of reproductive age. While some patients can achieve pregnancy through surgery or in vitro fertilization (IVF), many still struggle with …
Inflammation has key biological roles in the battle against pathogens, and additional key processes in development and tissue homeostasis. However, when inflammation becomes chronic it can become a serious medical …
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 …
To estimate the prevalence of heavy menstrual bleeding among Australian women from young adulthood to midlife (22-48 years) and investigate the characteristics of women who experience this condition; to investigate …
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 …
Endometriosis is a benign and chronic gynecological estrogen-dependent condition. Research findings have highlighted its impact on different aspects of women's lives. Enhancing quality of life and supporting the well-being of …
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 …