Endometriosis is a frequent chronic estrogen-dependent condition that can significantly impair fertility and reduce the quality of life in affected individuals. Women with endometriosis face a 30-50% risk of infertility. …
Nearly a century has passed since a seminal review article was published in 1928 in Archives of Pathology on ectopic endometriosis, presenting the dominant pathogenetic theories of the era: the …
Peritoneal endometriosis is the most common form of endometriosis and often overlooked due to its variable and nonpigmented appearance. Despite advances, identifying occult lesions remains challenging. The Aqua Blue Contrast …
Aim: To assess the effectiveness of early diagnosis of endometriosis using polarization-phase Muller-matrix introscopy methods of scattering dehydrated films of peritoneal fluid.
Peritoneal endometriosis causes pelvic pain and infertility, but the underlying mechanisms related to these symptoms are not fully understood. Endometriosis diagnosis is typically delayed; thus, patient samples are unsuitable to …
Indocyanine green (ICG) near-infrared fluorescence imaging is well established in gynecologic oncology, but its role in benign minimally invasive surgery is still limited and not standardized. Increasing cesarean section and …
Fourier-transform infrared (FTIR) spectroscopy was used to investigate molecular differences among peritoneal, ovarian, bowel endometriosis phenotypes and control tissues. Peritoneal lesions showed the most pronounced spectral changes in CH-stretching (2800-3000 …
Endometriosis is a debilitating gynaecological disorder with an elusive pathogenesis. While gut microbiota dysbiosis has been implicated, the causal role of gut-peritoneum microbial translocation and the specific mechanisms driving disease …
Endometriosis is a prevalent gynecological condition often requiring invasive procedures for diagnosis. This study aimed to assess mesothelin (MSLN) as a potential non-invasive biomarker by analyzing its levels in peritoneal …
This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to …