An Ultrasound-Based Preoperative Evaluation of the Endometriosis Fertility Index: A Further Step towards Personalized Treatment.
Matteo MarchettiMarco NoventaEleonora PanizzoloValentina PianonMatteo TamagniniSofia BigardiCarlo SaccardiRoberto TozziGiulia SpagnolPublished in: Journal of clinical medicine (2024)
Background : The Endometriosis Fertility Index (EFI), is a crucial validated surgical tool used for predicting fertility outcomes in women with endometriosis. This study aims to assess the concordance between a preoperative clinical and instrumental EFI evaluation (uEFI) and the EFI score obtained during an exploratory laparoscopy prior to surgery (sEFI). Methods : This study presents preliminary data from a broader observational cohort study. The Least Function score for the uEFI was calculated using a modified version of the original surgical EFI by incorporating a clinical examination, advanced ultrasound, and hysterosalpingo-foam sonography (HyFoSy). Results : The preoperative estimation of the EFI (uEFI) demonstrated a high concordance (k = 0.695, ρ s = 0.811) with the sEFI. Remarkably, the surgical interventions led to a significant improvement in the EFI values, with 80% of the intermediate EFI transitioning to a high level, thereby highlighting the positive impact of surgery on fertility outcomes. Conclusion : This study highlights the accuracy of preoperative EFI estimation (uEFI) and its strong agreement with intraoperative assessment. It underscores the potential of a preoperative management tool to guide the allocation of infertile women with endometriosis to operative laparoscopy, direct assisted reproductive technology (ART), or spontaneous attempts at pregnancy.
Keyphrases
- patients undergoing
- magnetic resonance imaging
- minimally invasive
- type diabetes
- machine learning
- physical activity
- coronary artery disease
- young adults
- hiv infected
- adipose tissue
- big data
- skeletal muscle
- coronary artery bypass
- percutaneous coronary intervention
- antiretroviral therapy
- combination therapy
- electronic health record
- clinical evaluation