Evidence map›Paper›PMID 32178944›Full record

ArticleJournal of vascular and interventional radiology : JVIR2020

4D Flow MR Imaging to Improve Microwave Ablation Prediction Models: A Feasibility Study in an In Vivo Porcine Liver.

Jason Chiang, Michael Loecher, Kevin Moulin, M Franca Meloni, Steven S Raman, Justin P McWilliams, Daniel B Ennis, Edward W Lee

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of vascular and interventional radiology : JVIR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Jason ChiangDepartment of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Suite 1638, Los Angeles, CA 90095. Electronic address: cjchiang@mednet.ucla.edu.
Michael LoecherDepartment of Radiology, Stanford University School of Medicine, Stanford, California.
Kevin MoulinDepartment of Radiology, Stanford University School of Medicine, Stanford, California.
M Franca MeloniDepartment of Interventional Ultrasound, Casa di Cura Igea, Milan, Italy.
Steven S RamanDepartment of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Suite 1638, Los Angeles, CA 90095.
Justin P McWilliamsDepartment of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Suite 1638, Los Angeles, CA 90095.
Daniel B EnnisDepartment of Radiology, Stanford University School of Medicine, Stanford, California.
Edward W LeeDepartment of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Suite 1638, Los Angeles, CA 90095.
Ronald Reagan UCLA Medical Center · USStanford University · USCasa di Cura Columbus · IT

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
NCATS NIH HHS UL1 TR001881
6 · The paper itself

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 R

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.

Indexed as

Ablation TechniquesLiver CirculationMagnetic Resonance Imaging, CineMicrowavesAnimalsBlood Flow VelocityFeasibility StudiesHepatic VeinsLiverModels, AnimalPerfusion ImagingPredictive Value of TestsSus scrofa

Identifiers

PMID32178944
PMCPMC7486998
OpenAlexW3011951054

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.