Endometriosis is a common gynecologic disorder with a significant burden of morbidity that is often subject to substantial diagnostic delay. While transvaginal ultrasound (TVUS) is the first-line imaging tool for …
Szylit et al. conducted a descriptive prevalence study combined with a cross-sectional observational study in a public primary care clinic. Using real-world data, they determined the prevalence of endometriosis in …
Endometriosis is a gynecologic disorder characterized by endometrial-like tissue in ectopic locations, outside of the uterine cavity. In the adolescent population, the diagnosis of endometriosis is often overlooked as a …
This meta-analysis aimed to assess the diagnostic efficacy of transvaginal ultrasound (TVS) and magnetic resonance imaging (MRI) for the detection of rectosigmoid deep infiltrating endometriosis (DIE).
Endometriosis, a prevalent gynecological condition affecting 10-15% of reproductive-age women, involves the growth of endometrial-like tissue outside the uterine cavity. This chronic inflammatory disease can significantly impact fertility by disrupting …
Low-grade endometrial stromal sarcoma (LGESS) is a rare mesenchymal tumor of female genital tract malignancies. While it primarily arises in the uterus, extrauterine cases, including those originating in the ovary, …
To examine whether the co-occurrence of endometriosis affects the sonographic features of adenomyosis based on the revised Morphological Uterus Sonographic Assessment (MUSA) criteria.
Uterosacral ligaments (USL) are the most common sites of endometriosis. Transvaginal ultrasound (TVS) demonstrates high diagnostic accuracy for endometriosis of the USLs using standardised technique and characterisations. While high accuracy …
Bowel endometriosis is a complex condition predominantly impacting women in their reproductive years, which may lead to chronic pain, gastrointestinal symptoms, and infertility. This review highlights current approaches to the …
The development of valuable artificial intelligence (AI) tools to assist with ultrasound diagnosis depends on algorithms developed using high-quality data. This study aimed to test the intra- and interobserver agreement …