Clonal Evolution of Endometriosis to Peritoneal Endometrioid Carcinoma via PTEN Biallelic Inactivation: A Case Report With Integrated Genomic and Pathological Profiling.
Magnetic Resonance Imaging in Pelvic Endometriosis: Imaging Characteristics and Anatomical Distribution at a Tertiary Care Study.
Endometriosis is a chronic gynecological disorder, characterized by the presence of functional endometrial glands and stroma outside the uterine cavity. It commonly presents with pelvic pain and infertility and may …
Breaking the endometriosis-stroke axis: lesion-focused hydrogel reprogramming of thromboinflammatory networks.
Endometriosis is a chronic, systemic inflammatory disorder characterized by the ectopic implantation of endometrial-like tissue and accompanied by persistent pain and infertility. Beyond the pelvis, accumulating epidemiological evidence indicates that …
Bioactive Compounds and Mechanistic Insights of Chuanxiong Rhizoma and Angelicae Sinensis Radix in Endometriosis Treatment: A Network Pharmacology and Experimental Validation Study.
Endometriosis, a chronic gynecological disorder, significantly impacts fertility and quality of life. Identifying effective therapeutic targets is critical for their management.
The Endometriosis Pain Course: exploring predictors of clinical response to an internet-delivered psychological pain management program for endometriosis.
Emerging research indicates the potential of psychological pain management programs to address disability and distress associated with endometriosis-related pain. Understanding the characteristics of patients likely to benefit from such programs …
Neurovascular architecture of deep endometriosis and postoperative pain outcomes after butterfly peritoneal excision, a prospective pilot study.
To evaluate the neurovascular architecture of deep endometriosis using a standardized butterfly excision approach and to explore its association with postoperative pain outcomes.
Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort.
To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clinical variables in a laparoscopically and histologically verified cohort.