To (1) determine how application of the updated international definition of deep endometriosis (DE) alters apparent disease prevalence across pelvic sites, and (2) characterize the distribution of endometriosis phenotypes, including …
To evaluate the performance of transvaginal ultrasound (TVS) using the International Deep Endometriosis Analysis (IDEA) terminology in the detection of deep endometriosis (DE).
Recurrent implantation failure (RIF) is a clinical phenomenon characterized by a lack of implantation after several embryo-transfers. The aim of this study was to evaluate missing pelvic pathologies in patients …
Rectal endometriosis is a complex condition requiring multidisciplinary treatment. Accurate preoperative assessment is critical for selecting the appropriate surgical technique, with transvaginal ultrasound (TVS) and endorectal ultrasound (ERUS) being key …
To perform an updated meta-analysis evaluating the diagnostic performance of transvaginal ultrasound (TVS) for detecting lateral parametrial involvement in women with suspected deep pelvic endometriosis.
Objective: To assess the long-term effects of Dienogest on clinical complaints and nodule sizes in women affected by recto-sigmoid deep endometriosis (DE). Methods: This was a single-center longitudinal prospective observational …
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 …
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 …
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 …