Meeting Banner
Abstract #0742

Liver Perfusion Quantification with MR-DCE Imaging at 3.0 T for Liver Fibrosis Assessment in Patients with Chronic Liver Diseases

Benjamin Leporq1, Frank Pilleul, 12, Jerome Dumortier3, Olivier Guillaud3, Thibaud Lefort2, Sdika Michal1, Olivier Beuf1

1CREATIS; CNRS UMR 5220; INSERM U1044; INSA-Lyon; UCBL, Universit de Lyon, Villeurbanne, Rhne-Alpes, France; 2CHU Edouard Herriot; Department of digestive imaging, Hospices Civils de Lyon, Lyon, Rhne-Alpes, France; 3CHU Edouard Herriot; Department of Hepatology, Hospices Civils de Lyon, Lyon, Rhne-Alpes, France

Liver fibrosis is an important cause of mortality and morbidity in patients with chronic liver diseases. While an early detection and a clinical follow-up of liver fibrosis are required for therapeutic strategies, the actual gold standard cannot be used in the clinical follow-up due to inherent risk, interobserver variability and sampling errors. Our objective was to validate a MR protocol at 3.0 T for liver perfusion quantification using MR-DCE imaging with an auto-calibrated procedure for tracer concentration quantification. Validation was performed in-vivo on a prospective study including fourteen patients with chronic liver diseases. Results demonstrated that to quantify liver perfusion using MR-DCE imaging can be achieve at 3.0T. Quantitative perfusion parameters such as HPI, MTT, portal and total perfusion could be relevant biomarkers to make the distinction between the absence of fibrosis, non-advanced fibrosis, and advanced fibrosis in patients with chronic viral hepatitis as well as in patients with NAFLD.

Abstract PDF Presentation Video

Keywords

according acquisition activity adjusted advanced agent aorta arterial aspect assessment authors auto automatic biopsy breathing brunt calibrated calibrations cause chronic clinical coefficients compartment complications compute concentration confirm confounding constitute contrast contributes corrected counterbalance curves deaths decrease decreased decreases deduced delays deposition detect detection development discovery diseases done dual dynamic early emerged emergence employing example experimental feasible fibrosis framework functions grid guide hepatic hepatitis histological hospices human in vivo increasing indeed index induced inducing inherent injection input instant intensity invest knowledge linear liver local material measure measured mechanism medium minus model modifications modify mutual next normalized occurring optimization partial patients perfusion phenomenon pixels placed portal potential preparations previous procedure processing prospectively quantification quantified quantitative radiology random rebuilt reconstruction reduce relationship required respectively respiration reversible risk scored seem severity shaped space square started starting still stratified studies subjects suggesting system third threshold tracer transformation treatment triple validate variable variations vessels viral vital vitro volume year