Endometriosis is a chronic gynecological disorder characterized by progressive fibrosis, which is closely associated with clinical symptoms such as dysmenorrhea and infertility. While myofibroblast activation is central to fibrogenesis, the …
Cystic adenomyosis is a rare subtype of adenomyosis characterized by cystic lesions within the myometrium, causing significant dysmenorrhea and pelvic pain. Traditional surgical treatments, such as laparoscopic or hysteroscopic excision, …
The immune system is crucial in protecting against disease, but it can also contribute to chronic illnesses when it malfunctions, with different conditions involving either inflammation or immune suppression. Current …
Endometriosis, traditionally viewed as a gynecological condition, is increasingly recognized as a systemic disease due to its frequent association with inflammatory and autoimmune comorbidities. Recent molecular and genetic insights reveal …
Deep infiltrative endometriosis (DIE) is characterized by the infiltration of endometrial tissue into the pelvic organs, such as the rectovaginal septum, utero-ovarian, and uterosacral ligaments. Bowel involvement occurs in approximately …
Background/Objectives: To evaluate the clinicopathological features, treatment, and survival outcomes and to identify independent prognosticators for recurrence and mortality in patients with endometrioid ovarian cancer. Methods: The medical records of …
Minimally invasive gynecologic surgery (MIGS) has changed gynecologic care over the past thirty years by introducing techniques like multiport laparoscopy, robotic-assisted laparoscopy, and single-site surgery. MIGS offers advantages like reduced …
The menstrual cycle induces a wide range of physiological changes in the skin and its appendages, often overlooked in dermatologic practice. Catamenial dermatoses, influenced by hormonal fluctuations, present with cyclical …
Millen Magese: The supermodel who turned fashion, pain and power into lasting impact thecitizen.co.tz
Accurate diagnosis of pathology from ultrasound images is reliant upon images of a suitable diagnostic quality being acquired. This study aimed to create a novel machine learning model to automatically …