MR-based visualization and quantification of three-dimensional flow characteristics in the portal venous system

Zoran Stankovic*, Alex Frydrychowicz, Zoltan Csatari, Elisabeth Panther, Peter Deibert, Wulf Euringer, Wolfgang Kreisel, Maximilian Russe, Simon Bauer, Mathias Langer, Michael Markl

*Corresponding author for this work
34 Citations (Scopus)

Abstract

Purpose: To evaluate the feasibility of time-resolved flowsensitive MRI for the three-dimensional (3D) visualization and quantification of normal and pathological portal venous (PV) hemodynamics. Materials and Methods: Portal venous hemodynamics were evaluated in 18 healthy volunteers and 5 patients with liver cirrhosis. ECG- and adaptive respiratory navigator gated flow-sensitive 4D MRI (time-resolved 3D MRI with three-directional velocity encoding) was performed on a 3 Tesla MR system (TRIO, Siemens, Germany). Qualitative flow analysis was achieved using 3D streamlines and time-resolved particle traces originating from seven emitter planes precisely placed at anatomical landmarks in the PV system. Quantitative analysis included retrospective extraction of regional peak and mean velocities and vessel area. Results were compared with standard 2D flow-sensitive MRI and to the reference standard Doppler ultrasound. Results: Qualitative flow analysis was successfully used in the entire PV system. Venous hemodynamics in all major branches in 17 of 18 volunteers and 3 of 5 patients were reliably depicted with good interobserver agreement (kappa = 0.62). Quantitative analysis revealed no significant differences and moderate agreement for peak velocities between 3D MR and 2D MRI (r = 0.46) and Doppler ultrasound (US) (r = 0.35) and for mean velocities between 3D and 2D MRI (r = 0.41). The PV area was significantly (P < 0.01) higher in 3D and 2D MRI compared with US. Conclusion: We successfully applied 3D MR velocity mapping in the PV system, providing a detailed qualitative and quantitative analysis of normal and pathological hemodynamics.

Original languageEnglish
JournalJournal of Magnetic Resonance Imaging
Volume32
Issue number2
Pages (from-to)466-475
Number of pages10
ISSN1053-1807
DOIs
Publication statusPublished - 01.08.2010

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