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Dallas, USA, November 26, 2020. New data will be presented by �������� at this year’s RSNA meeting.

�������� will be showcasing AI-powered whole-image quantitative liver fat measurement for hepatic fat without a biopsy. The fully automatic analysis excludes liver structures that can confound other ways of measuring liver fat and has been developed within ��������’s clinical analysis service to handle real data as taken in clinical practice. (Listen to the talk on December 1st: Bagur, A. T., et al. Automated Liver Segmentation with Vessel Exclusion in Proton Density Fat Fraction Maps)

��������’s MRCP+ technology measures the 3D biliary tree within the liver, pancreas, and gallbladder. This proprietary technology has been studied as a biomarker in patients with Primary Sclerosing Cholangitis (PSC). Physicians caring for those with PSC need an objective, longitudinal measure of biliary tree health in order to titrate treatment.

A third presentation demonstrates how to extend the utility of MRCP+ to patients for whom motion might be a problem. This new method would increase image quality, and efficiency.

Full details of posters and talks being presented:

Oral:

• Bagur, A. T., et al. Automated Liver Segmentation with Vessel Exclusion in Proton Density Fat Fraction Maps

Posters:

• Lahoud, R. et al. Quantitative MRCP: A Potential Imaging Biomarker for the Assessment of the Hepatobiliary Tree in Patients with Primary Sclerosing Cholangitis
• Ralli, G.P., et al. Improved segmentation of the biliary tree from single breath-hold GRASE-MRCP images

Notes to editors

About ��������

�������� delivers cutting-edge digital technologies that help clinicians provide better care for patients with liver disease, diabetes, and cancer. With a strong focus on precision medicine using advanced imaging and genetics, our vision is to empower patients and clinicians through quantitative assessments of health enabling early detection, diagnosis, and targeted treatment. With a diverse team of physicians, biomedical scientists, engineers, and technologists, �������� offers a way to manage complex health problems at scale.