Background: Endometriosis is a chronic gynecological condition marked by ectopic endometrial-like tissue, leading to inflammation, pain, and infertility. Diagnosis is often delayed by up to 10 years. Identifying non-invasive biomarkers …
Endometriosis is often diagnosed late and presents significant challenges in clinical treatment. A comprehensive investigation of the cellular classification and composition of endometriosis is essential for studying its diagnosis and …
Mapping Deep Endometriosis in Patients with Ovarian Endometriomas according to the #Enzian Classification: A Single-Centre Retrospective Analysis Frontiers
Background and Objectives: We compared mini-laparoscopic and laparoscopic hysterectomy in terms of surgery duration, postoperative pain, conversion rate, blood loss, postoperative complications (Clavien-Dindo classification), and the length of hospital stay. …
Endometriosis affects approximately 10% of women of reproductive age globally and is a leading cause of chronic pelvic pain and infertility. Accurate classification is essential for preoperative diagnosis, surgical planning, …
Next-generation sequencing outperforms Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) in endometrial cancer molecular classification Nature
Endometriosis is a very common benign condition in women. In recent years certification of health care institutions has led to a more standardized care for endometriosis patients, aiming at improving …
Endometriosis is a common disease, affecting approximately 10% of women of reproductive age. Several intersecting guidelines and consensus statements provide information on imaging diagnosis and surveillance strategies for endometriomas. SRU …
The association of molecular classification with fertility-sparing treatment of atypical endometrial hyperplasia and endometrial carcinoma：A retrospective study Frontiers
Electronic health records (EHRs) present opportunities to study uterine fibroids uterine fibroids and endometriosis within diverse populations. When using EHR data, it is important to validate outcome classification via diagnosis …