Endometriosis represents a diverse disease characterized by three distinct phenotypes: superficial peritoneal lesions, ovarian endometriomas, and deep infiltrating endometriosis. The most widely accepted pathophysiological hypothesis for endometriosis is rooted in …
The molecular mechanisms through which endometriosis-related ovarian neoplasms (ERONs) develop from benign endometrioma remain unclear. It is especially a long-standing mystery why ovarian endometrioma has the potential to develop into …
To evaluate the diagnostic accuracy of transvaginal ultrasonography (TVUS) in detecting deep endometriosis, ovarian endometriosis, and superficial endometriosis using the IDEA (International Deep Endometriosis Analysis) consensus and novel International Terminology …
Endometriosis pain is mainly understood based on peripheral lesion characteristics and an outdated perspective equating nociception with pain. This limited view may divert understanding of interventions beyond peripheral logic, leading …
Endometriosis is a common gynecological disease that affects approximately 10-15% of reproductive-aged women worldwide. This debilitating disease has a negative impact on the quality of life of those affected. Despite …
MRI Phenotypes May Aid EC Risk Stratification Physician's Weekly
Müllerian anomalies are congenital conditions characterized by the incomplete development of the female reproductive tract. Women affected by Müllerian anomalies often display additional malformations of the renal, skeletal, and cardiovascular …
Women's health conditions are influenced by both genetic and environmental factors. Understanding these factors individually and their interactions is crucial for implementing preventative, personalized medicine. However, since genetics and environmental …
To identify pain phenotypes in patients with endometriosis and investigate their associations with demographics, clinical characteristics, comorbidities and pain-related quality of life (QoL).
We report the findings of a genome-wide association study (GWAS) meta-analysis of endometriosis consisting of a large portion (31%) of non-European samples across 14 biobanks worldwide as part of the …