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, …
Background/Objectives: Epithelial-Mesenchymal Transition (EMT) is the process by which epithelial cells acquire mesenchymal properties, which helps endometriotic cells migrate and invade. This study looks at the expression of E-CADHERIN, a …
Artificial intelligence (AI) uses a process by which machines perform human-like functions such as automated clinical decisions. This may operate efficiently in gynecologic and obstetric emergencies. We aimed to review …
Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging in gynecology, efforts to synthesize the available evidence have been inadequate. The aim of this systematic review was to …
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 …
To highlight the presentation and management of a patient with dysmenorrhea caused by an accessory cavitated uterine malformation (ACUM) while also summarizing the current evidence regarding this pathology.
Advancements in single-cell analyzis technologies, particularly single-cell RNA sequencing (scRNA-seq) and Fluorescence-Activated Cell Sorting (FACS), have enabled the analyzis of cellular diversity by providing resolutions that were not available previously. …
In ovarian steroid-dependent diseases such as uterine fibroids, endometriosis and adenomyosis, oral GnRH antagonists have emerged as new therapeutic alternatives. These oral GnRH antagonists offer key advantages, including oral administration, …
Endometriosis is defined as the presence of endometrial-like glands and stroma outside of the uterus. There are three types of endometriotic lesions: superficial or peritoneal endometriosis, ovarian endometrioma, and deep …