Speaker Name: Mauricio Simões Abrão, MD 
Moderator Name: Sukhbir Sony Singh, MD 

 The diagnosis and evaluation of endometriosis have historically relied on laparoscopy and subjective pain reporting, often delaying accurate identification and treatment. Recent advancements in non-invasive imaging, particularly MRI, have provided new opportunities for objective and reproducible assessment of disease burden. However, despite ESHRE recommendations supporting non-invasive approaches, current classification systems remain laparoscopy-based, limiting their applicability in clinical practice and research. 

This symposium, led by key experts in the field, will present the emerging paradigm shift in endometriosis care—from surgical to imaging-based diagnostics. It will highlight the role of MRI in quantifying lesion size, depth, and anatomical distribution, and discuss how these imaging findings can correlate with symptom profiles and surgical outcomes. 

In addition, the session will introduce the potential of intracavitary ultrasound (IVUS) as a complementary tool for enhanced visualization of deep lesions, particularly in challenging compartments such as the rectovaginal and retrocervical spaces. The integration of artificial intelligence (AI) into imaging workflows will also be addressed, focusing on its capacity to support lesion detection, anatomical mapping, and classification. 

Together, these innovations aim to establish a more standardized, accessible, and patient-centred approach to diagnosis and monitoring. The symposium will explore ongoing international efforts to develop consensus on imaging protocols and propose a roadmap for incorporating imaging-based metrics into future classification systems and clinical trials—paving the way for a new era in the understanding and management of endometriosis.