Endometriosis is a chronic, estrogen-dependent inflammatory condition affecting approximately 10% of women of reproductive age worldwide. It is characterized by the presence of endometrial-like tissue outside the uterine cavity, which …
Endometriosis affects approximately 190 million people globally and 2 million in Canada. Experiences of endometriosis can profoundly impact all aspects of life, including physical, mental, and financial well-being. The Coronavirus …
Pelvic pain has a significant impact on quality of life, especially when associated with benign pelvic diseases, such as endometriosis or chronic conditions leading to persistent discomfort. A substantial proportion …
Objective: To evaluate the efficacy and safety of triptorelin acetate microspheres for injection compared with triptorelin acetate for injection in the treatment of endometriosis. Methods: A total of 392 patients …
Endocrine-disrupting chemicals (EDCs), including bisphenol A (BPA), phthalates, organochlorine pesticides, and heavy metal ions, pose serious threats to reproductive health by interfering with hormonal balance and molecular signaling pathways. Recent …
Endometriosis (EMs), a common and frequently occurring gynecological disease, is a major cause of chronic pelvic pain and infertility in women. Its pathogenesis remains unclear to date, and it is …
Endometriosis (EMs) is a gynecological inflammatory disease that depends on estrogen. Its chief symptoms include dysmenorrhea, chronic pelvic pain, reduced fertility, and pelvic masses. Although various hormonal therapies and surgical …
Background: Deep infiltrating endometriosis (DIE) and, in particular, bowel endometriosis stand out for their complexity. While surgery for bowel endometriosis has proven to be effective, there is a lack of …
Trauma-informed approaches can promote the creation of systems that prioritize safety and empowerment to improve patient well-being. These approaches are especially important in sexual and reproductive health care, where patients …
Researchers have explored machine learning (ML) in diagnosing endometriosis. However, systematic evidence on its diagnostic accuracy for endometriosis remains scarce.