To address the urgent need for non-invasive diagnosis of endometriosis, this study developed a novel microfluidic platform utilizing a three-dimensional (3D) polydimethylsiloxane scaffold microchip to efficiently capture circulating endometrial cells …
Endometriosis is a chronic inflammatory condition that affects an estimated 1 in 10 women but is often mis- and underdiagnosed due to its non-specific symptoms and the lack of a …
Endometriosis (EMS) is a chronic estrogen-dependent inflammatory disease. Although several studies have suggested a key role for estrogen receptor ERβ in EMS lesion development, its detection has been challenged by …
Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due to depression or anxiety, before and after receiving their endometriosis diagnosis, …
Endometriosis is a chronic, debilitating condition affecting approximately 10-15% of reproductive-aged women and it is often associated with significant diagnostic delays due to its heterogeneity and unreliable non-invasive tests. Artificial …
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.
Endometriosis, particularly ovarian endometrioma, is associated with a 2-fold increased risk of ovarian cancer (OC), especially the clear cell and endometrioid subtypes. However, the absolute lifetime risk of OC in …
To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically machine learning (ML) and deep learning (DL), in the diagnosis of endometriosis through imaging and …
BackgroundDespite many women learning about endometriosis on social media, posts about the condition often fail to reflect current evidence. With the content and credibility of online health messages being found …