Deep infiltrating endometriosis (DIE) is a severe endometriosis phenotype. This study aimed to develop and internally validate a machine learning-based predictive model for DIE using retrospective clinical data from a …
Endometriosis is a chronic, inflammatory condition associated with pelvic pain, subfertility, and reduced quality of life. Advances in enhanced transvaginal ultrasound (eTVUS), including systematic compartment-based scanning protocols and improved operator …
Müllerian adenosarcoma (MA) is a rare malignant tumor of the female reproductive system. Owing to the limited number of clinical cases and the absence of characteristic clinical manifestations, its clinical …
Endometriosis is often diagnosed several years after the first onset of symptoms; however, the duration of this delay may vary depending on the population studied, the assessment starting point, and …
Pelvic magnetic resonance imaging (MRI) plays a pivotal role in evaluating gynecologic diseases, offering superior soft-tissue characterization, multiplanar imaging, and functional assessment compared to ultrasound and computed tomography. This article …
Background and Objective: The ultrasound sliding sign dynamically assesses pouch of Douglas (POD) obliteration in suspected endometriosis. Transvaginal (TVS) and transrectal (TRS) ultrasound are used in patients with and without …
Endometriosis is a common gynecological disorder. Non-invasive imaging markers that predict disease severity and bowel involvement are clinically valuable. The purpose of the current study was to evaluate the diagnostic …
Endometriosis is a chronic condition in reproductive-age women, and diagnosis can be delayed for 4-11 years due to nonspecific symptoms and limited imaging. This underscores the need for new methods …
Australian endometriosis guidelines recommend transvaginal ultrasound (TVUS) as the first-line investigation for endometriosis. Where endometriosis has been surgically treated, there is a risk of recurrent disease and repeat surgery. It …
Artificial intelligence (AI) has emerged as a transformative tool in radiological diagnosis, particularly in urogynaecology and obstetric disorders where accurate and timely imaging is essential. This narrative review evaluates current …