Investig Magn Reson Imaging.  2017 Jun;21(2):71-81. 10.13104/imri.2017.21.2.71.

Comparison of Three, Motion-Resistant MR Sequences on Hepatobiliary Phase for Gadoxetic Acid (Gd-EOB-DTPA)-Enhanced MR Imaging of the Liver

Affiliations
  • 1Department of Diagnostic Radiology, Jeju National University Hospital, Jeju, Korea. 671228kbs@naver.com
  • 2Department of Internal Medicine, Jeju National University Hospital, Jeju, Korea.

Abstract

PURPOSE
To compare three, motion-resistant, T1-weighted MR sequences on the hepatobiliary phase for gadoxetic acid-enhanced MR imaging of the liver.
MATERIALS AND METHODS
In this retrospective study, 79 patients underwent gadoxetic acid-enhanced, 3T liver MR imaging. Fifty-nine were examined using a standard protocol, and 20 were examined using a motion-resistant protocol. During the hepatocyte-specific phase, three MR sequences were acquired: 1) gradient recalled echo (GRE) with controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA); 2) radial GRE with the interleaved angle-bisection scheme (ILAB); and 3) radial GRE with golden-angle scheme (GA). Two readers independently assessed images with motion artifacts, streaking artifacts, liver-edge sharpness, hepatic vessel clarity, lesion conspicuity, and overall image quality, using a 5-point scale. The images were assessed by measurement of liver signal-to-noise ratio (SNR), and tumor-to-liver contrast-to-noise ratio (CNR). The results were compared, using repeated post-hoc, paired t-tests with Bonferroni correction and the Wilcoxon signed rank test with Bonferroni correction.
RESULTS
In the qualitative analysis of cooperative patients, the results for CAIPIRINHA had significantly higher ratings for streak artifacts, liver-edge sharpness, hepatic vessel clarity, and overall image quality as compared to, radial GRE, (P < 0.016). In the imaging of uncooperative patients, higher scores were recorded for ILAB and GA with respect to all of the qualitative assessments, except for streak artifact, compared with CAIPIRINHA (P < 0.016). However, no significant differences were found between ILAB and GA. For quantitative analysis in uncooperative patients, the mean liver SNR and lesion-to-liver CNR with radial GRE were significantly higher than those of CAIPIRINHA (P < 0.016).
CONCLUSION
In uncooperative patients, the use of the radial GRE sequence can improve the image quality compared to GRE imaging with CAIPIRINHA, despite the data acquisition methods used. The GRE imaging with CAIPIRINHA is applicable for patients without breath-holding difficulties.

Keyword

Liver; Magnetic resonance imaging; Breath-holding; Gadolinium ethoxybenzyl DTPA

MeSH Terms

Acceleration
Artifacts
Humans
Liver*
Magnetic Resonance Imaging*
Retrospective Studies
Signal-To-Noise Ratio

Figure

  • Fig. 1 MR images of a 59-year-old man with hepatocellular carcinoma. He had one hepatocellular carcinoma in liver segment 6. A hepatocellular carcinoma (arrow) in the liver is clearly shown on the axial breath-hold, T1-weighted 3D GRE image with CAIPIRINHA (a) in this cooperative patient. The intrahepatic vessel (arrowhead) is well-visualized in the T1-weighted 3D GRE image with CAIPIRINHA (b). Axial free-breathing 3D radial GRE with GA (c, d) and 3D radial GRE with ILAB (e, f) show blurred resolution of the tumor (arrows) and margin of the intrahepatic vessel (arrowheads).

  • Fig. 2 MR images in a 75-year-old woman with intrahepatic, mass-forming cholangiocarcinoma. She had one intrahepatic, mass-forming cholangiocarcinoma in liver segments 4 and 8. Axial breath-hold, T1-weighted 3D GRE image with CAIPIRINHA (a) shows severe motion artifacts due to the patient's breathing. Axial free-breathing, 3D radial GRE with GA (b) and 3D radial GRE with ILAB (c) demonstrate substantially artifact reduction resistance to motion and high image quality in the patient who could not suspend respiration. The intrahepatic, mass-forming cholangiocarcinoma (arrows) and intrahepatic vessels (arrowheads) are better depicted in axial free-breathing, 3D radial GRE with GA and 3D radial GRE with ILAB.


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