Development and validation of a clinical nomogram for predicting cumulative live birth rate in ovarian endometrioma patients undergoing ethanol sclerotherapy and in vitro fertilization/intracytoplasmic sperm injection.
Effective individualized tools to predict cumulative live birth rates are lacking for patients with ovarian endometriomas undergoing In Vitro Fertilization or Intracytoplasmic Sperm Injection after ultrasound-guided ethanol sclerotherapy. This study …
The diagnostic value of serum inflammation, coagulation and tumor indexes in differentiating stage III and IV ovarian endometriotic cysts.
Ovarian endometriotic cysts (OEC) are classified into early (I-II) and advanced (III-IV) stages. Stage IV OEC is characterized by severe adhesions and anatomical distortion that complicate surgical management. Accurate preoperative …
Development and validation of a nomogram model for predicting natural pregnancy after hysteroscopy and laparoscopy in patients with tubal infertility complicated with pelvic endometriosis.
This study aimed to construct and validate a nomogram for predicting natural pregnancy after hysteroscopy and laparoscopy in patients with tubal infertility and pelvic endometriosis, providing a basis for precise …
Integrative transcriptomic analysis identifies shared EndMT-related gene signatures in endometriosis and recurrent miscarriage.
Endometriosis (EMs) and recurrent miscarriage (RM) represent major reproductive health challenges. This study investigates the involvement of endothelial-mesenchymal transition (EndMT) in these conditions through integrative bioinformatics analysis, focusing on the …
Analysis of diagnostic apoptosis-related biomarkers and immune cell infiltration characteristics in endometriosis by integrating bioinformatics and machine learning.
Endometriosis (EMs) is a chronic disease affecting millions of women worldwide, yet its pathogenesis remains unclear, and current diagnostic methods are limited. This study based on the EMs dataset from …