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4D Flow MR Imaging to Improve Microwave Ablation Prediction Models: A Feasibility Study in an In Vivo Porcine Liver
Institution:1. Department of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Suite 1638, Los Angeles, CA 90095;2. Department of Radiology, Stanford University School of Medicine, Stanford, California;3. Department of Interventional Ultrasound, Casa di Cura Igea, Milan, Italy;1. Department of Radiology, Division of Interventional Radiology, University of Arizona, 1501 N. Campbell Avenue, Tucson, AZ, 85724;2. Department of Radiology, Section of Interventional Radiology, University of Chicago Medicine, Chicago, Illinois;1. Duke University School of Medicine, Durham, North Carolina 27710;2. Vascular and Interventional Specialists, Charlotte Radiology, Charlotte, North Carolina;3. Department of Radiology, Division of Interventional Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland;4. Department of Radiology, Division of Interventional Radiology, Duke University Medical Center, 2301 Erwin Road, Box 3808, Durham, NC;1. Department of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi 110029, India;2. Department of Cardiothoracic and Vascular Surgery, All India Institute of Medical Sciences, New Delhi 110029, India;1. Department of Surgery, Max Rady College of Medicine, University of Manitoba, Manitoba, Canada;2. Cardiac Sciences Program, St Boniface Hospital, Winnipeg, Canada;3. Department of Cardiac Surgery, New Brunswick Heart Centre, Saint John, New Brunswick, Canada;4. Department of Cardiac Surgery, University of Michigan, Ann Arbor, Mich
Abstract:PurposeTo characterize the effect of hepatic vessel flow using 4-dimensional (4D) flow magnetic resonance (MR) imaging and correlate their effect on microwave ablation volumes in an in vivo non-cirrhotic porcine liver model.Materials and MethodsMicrowave ablation antennas were placed under ultrasound guidance in each liver lobe of swine (n = 3 in each animal) for a total of 9 ablations. Pre- and post-ablation 4D flow MR imaging was acquired to quantify flow changes in the hepatic vasculature. Flow measurements, along with encompassed vessel size and vessel-antenna spacing, were then correlated with final ablation volume from segmented MR images.ResultsThe linear regression model demonstrated that the preablation measurement of encompassed hepatic vein size (β = –0.80 ± 0.25, 95% confidence interval CI] –1.15 to –0.22; P = .02) was significantly correlated to final ablation zone volume. The addition of hepatic vein flow rate found via 4D flow MRI (β = –0.83 ± 0.65, 95% CI –2.50 to 0.84; P = .26), and distance from antenna to hepatic vein (β = 0.26 ± 0.26, 95% CI –0.40 to 0.92; P = .36) improved the model accuracy but not significantly so (multivariate adjusted R2 = 0.70 vs univariate (vessel size) adjusted R2 = 0.63, P = .24).ConclusionsHepatic vein size in an encompassed ablation zone was found to be significantly correlated with final ablation zone volume. Although the univariate 4D flow MR imaging-acquired measurements alone were not found to be statistically significant, its addition to hepatic vein size improved the accuracy of the ablation volume regression model. Pre-ablation 4D flow MR imaging of the liver may assist in prospectively optimizing thermal ablation treatment.
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