3 October 2026
This advanced educational course brings together leading international experts in gynecological ultrasound, reproductive medicine, imaging, fertility, and minimally invasive surgery to provide a practical and up-to-date overview of adenomyosis and endometriosis diagnosis.
The program focuses on modern ultrasound assessment, standardized terminology and classification systems, fertility-related aspects, preoperative evaluation, and challenging clinical cases. Participants will gain practical insights into diagnostic algorithms and learn how to apply current evidence and expert recommendations in everyday clinical practice.
Designed for gynecologists, sonographers, fertility specialists, radiologists, surgeons, and other healthcare professionals, the course offers an excellent opportunity to strengthen diagnostic skills, improve clinical decision-making, and stay updated with the latest developments in the field.
Scientific Objectives
- To improve understanding of the pathophysiology and clinical manifestations of adenomyosis and endometriosis
- To enhance clinicians’ skills in the ultrasound diagnosis of adenomyosis using evidence-based best practices
- To promote the use of standardized diagnostic approaches, including the IDEA protocol, in endometriosis mapping
- To review the impact of adenomyosis and endometriosis on fertility and obstetric outcomes
- To explore recent innovations and research developments, including the role of artificial intelligence in gynecological imaging
- To improve recognition and characterization of deep and superficial endometriosis through advanced ultrasound techniques
- To discuss the relationship between endometriosis, adenomyosis, and oncologic risk, including malignant transformation
- To evaluate the role of imaging in surgical planning and postoperative assessment
- To encourage multidisciplinary collaboration among gynecologists, radiologists, fertility specialists, and surgeons
- To translate emerging scientific knowledge into practical strategies that improve patient care and diagnostic accuracy