Endometriosis is a chronic gynecological disease characterized by the growth of endometrial-like tissue outside the uterus, leading to pelvic pain, infertility, and other major health complications. Though some studies have …
Abdominal wall endometriosis is rare. Malignant transformation of abdominal wall endometriosis is extremely rare. We describe FDG PET/CT findings in a case of clear cell carcinoma arising from abdominal wall …
Endometriosis is a chronic gynecological disorder, characterized by the presence of functional endometrial glands and stroma outside the uterine cavity. It commonly presents with pelvic pain and infertility and may …
To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clinical variables in a laparoscopically and histologically verified cohort.
Background and objectives Diagnosis and treatment of infertility, mostly sought at tertiary facilities, contribute to substantial out-of-pocket expenditure (OOPE). This study estimated OOPE among couples seeking care for endometriosis, male …
Given the challenges in early detection and diagnosis, understanding the molecular underpinnings of endometrioid ovarian cancer (EOC) is crucial for improving patient outcomes. This multi-level study provides a new perspective …
Endometriosis is a chronic inflammatory disease characterized by the presence of endometrial-like tissue outside the uterine cavity, affecting up to 10% of women of reproductive age. Despite extensive research, its …
Background: Endometriosis affects 10-15% of reproductive-aged women and is a leading cause of infertility through anatomical, inflammatory, and molecular mechanisms. Objective: This review synthesizes current evidence on the pathophysiology of …
To assess the preoperative diagnostic accuracy of abdominal wall endometriosis (AWE) by general surgical teams and specialized endometriosis centers in assessing abdominal wall masses using clinical evaluation and imaging.
To address the need for more objective and reproducible preoperative diagnosis of deep infiltrating endometriosis (DIE), this study aimed to develop and validate a weighted ensemble machine learning (ML) model …