Quantitative MRI method for characterising endometriomas

#0709 Usman Shah1, Alex Bagur1, Hannah Curwen1, Mike Brady1,2, Sally Collins1,2, Amy Herlihy1, and Michele Pansini1,3 1Perspectum, Oxford, United Kingdom, 2University of Oxford, Oxford, United Kingdom, 3Clinica Di Radiologia EOC, Istituto Di Imaging Della Svizzera Italiana (IIMSI), Lugano, Switzerland

Biomarkers, Quantitative Imaging Motivation: Diagnostic delay and uncertainty are common problems faced by patients suffering from endometriosis. Although laparoscopy remains the gold-standard for diagnosis, quantitative MRI (qMRI) could offer an alternative non-invasive approach. Goal(s): To use qMRI to characterise endometriotic lesions. Approach: Quantitative analysis of multiparametric MRI data (including T1 MOLLI, T2* and PDFF parametric maps) to characterise tissue metrics obtained from patients suffering with chronic pelvic pain who subsequently underwent a diagnostic laparoscopy.

Endometriomas have characteristic qMRI values different to other tissues in the female pelvis. Impact: The distinctive parametric characteristics of endometriomas provides a foundation for the development of a non-invasive diagnostic tool that can detect endometriotic lesions within the pelvis. How to access this content: For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library. After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library. After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers. Keywords