Endometriosis is a chronic, estrogen-dependent disease commonly affecting pelvic organs. Lymph node involvement is rare and even more so when leading to herniation. We report a rare case of a …
To assess the impact of complex disease states, including pouch of Douglas (POD) obliteration and deep endometriosis (DE) of the bowel, on the diagnostic accuracy of transvaginal ultrasound (TVUS) for …
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 …
Background: An average time to diagnosis of 7 years is commonly described for endometriosis; diagnostic delay for adenomyosis is unknown. This cross-sectional study aimed to describe diagnostic delay for endometriosis …
Background: Polypoid endometriosis is a rare variant of endometriosis that presents as a tumorous mass, making it difficult to differentiate it from a malignant tumor. It usually occurs in perimenopausal …
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 …
Endometriosis affects approximately 10% of women of reproductive age; this prevalence may be underestimated, mostly in developing countries, including Mexican and Hispanic populations, due to socioeconomic barriers and limited access …
Endosalpingiosis is a rare, benign condition characterized by ectopic cystic glands lined with ciliated cuboidal epithelium, histologically resembling the fallopian tube. Its etiology remains uncertain but is hypothesized to result …
Endometriosis is a chronic gynecologic disease of reproductive-age women, causing menstrual pain and infertility. Endocrine and inflammatory mechanisms drive its development, with estrogen/progesterone imbalance contributing to extrauterine implantation and persistence …
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 …