To systematically evaluate the evidence on the contraceptive efficacy, cycle control, safety, and selected noncontraceptive effects of estetrol 15 mg/drospirenone 3 mg (E4/DRSP) and to assess certainty of evidence by …
Endometriosis is frequently associated with infertility and postoperative recurrence, and fertility-sparing surgery may be considered when symptoms, endometriomas, adhesions, or deep infiltrating disease are unlikely to be adequately managed with …
Background/Objectives: Endometriosis affects around 10% of women of reproductive age and is commonly associated with pelvic pain, fatigue and infertility. Beyond physical symptoms, the condition can substantially affect psychosocial well-being. …
Assisted reproductive technology (ART) is increasingly utilized worldwide, yet concerns remain regarding its potential association with breast and gynecological malignancies and the safety of fertility-preservation strategies in cancer survivors. Ovarian …
Implantation failure remains a major challenge in assisted reproductive technology (ART) and is a significant contributor to infertility in women with endometriosis. Beyond mechanical distortion and ovarian dysfunction, increasing evidence …
Ovarian endometriosis is a common manifestation of endometriosis associated with chronic pelvic pain and infertility. Although transvaginal ultrasound and magnetic resonance imaging are central to diagnosis, challenging cases may benefit …
Previous studies have suggested the close link between endometriosis and body size index. However, there are inconsistent associations between central, general, and visceral adiposity index and endometriosis. This study aimed …
Extra-pelvic endometriosis is a rare and complex condition characterized by endometriotic implants located outside the pelvis. It commonly poses significant diagnostic challenges and considerable surgical management difficulties.
Endometriosis is a common gynecological disorder that requires accurate detection of ectopic lesions in laparoscopic images for effective diagnosis and treatment. However, existing deep learning-based detection methods face significant challenges …