Volume 47, Issue 4 pp. 976-987
Original Research

Assessment of advanced hepatic MR elastography methods for susceptibility artifact suppression in clinical patients

Jin Wang MD

Jin Wang MD

Department of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R China

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Kevin J. Glaser PhD

Kevin J. Glaser PhD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Tianhui Zhang MS

Tianhui Zhang MS

Department of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R China

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Qungang Shan MS

Qungang Shan MS

Department of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R China

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Bingjun He BS

Bingjun He BS

Department of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Guangzhou, Guangdong, P.R China

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Jun Chen PhD

Jun Chen PhD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Meng Yin PhD

Meng Yin PhD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Bogdan Dzyubak PhD

Bogdan Dzyubak PhD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Jennifer L. Kugel PhD

Jennifer L. Kugel PhD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Scott A. Kruse PhD

Scott A. Kruse PhD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Roger C. Grimm PhD

Roger C. Grimm PhD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Sudhakar K. Venkatesh MD

Sudhakar K. Venkatesh MD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

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Richard L. Ehman MD

Corresponding Author

Richard L. Ehman MD

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

Address reprint requests to: R.L.E., Department of Radiology, Mayo Clinic, 200 First St. SW, Rochester, MN 55905. E-mail: [email protected]Search for more papers by this author
First published: 11 August 2017
Citations: 33

Abstract

Purpose

To assess the success rate, image quality, and the ability to stage liver fibrosis of a standard 2D gradient-recalled echo (GRE) and four different spin-echo (SE) magnetic resonance elastography (MRE) sequences in patients with different liver iron concentrations.

Materials and Methods

A total of 332 patients who underwent 3T MRE examinations that included liver fat and iron quantification were enrolled, including 136 patients with all five MRE techniques. Thirty-four patients had biopsy results for fibrosis staging. The liver stiffness, region of interest area, image quality, and success rate of the five sequences were compared in 115/136 patients. The area under the receiver operating characteristic curves (AUCs) and the accuracies for diagnosing early-stage fibrosis and advanced fibrosis were compared. The effect of BMI (body mass index), the R2* relaxation time, and fat fraction on the image quality and liver stiffness measurements were analyzed.

Results

The success rates were significantly higher in the four SE sequences (99.1–100%) compared with GRE MRE (85.3%) (all P < 0.001). There were significant differences of the mean ROI area between every pair of sequences (all P < 0.0001). There were no significant differences in the AUC of the five MRE sequences for discriminating advanced fibrosis (10 P-values ranging from 0.2410–0.9171). R2* had a significant effect on the success rate and image quality for the noniron 2D echo-planar imaging (EPI), 3D EPI and 2D GRE (all P < 0.001) sequences. BMI had a significant effect on the iron 2D EPI (P = 0.0230) and iron 2D SE (P = 0.0040) sequences.

Conclusion

All five techniques showed good diagnostic performance in staging liver fibrosis. The SE MRE sequences had higher success rates and better image quality than GRE MRE in 3T clinical hepatic imaging.

Level of Evidence: 3

Technical Efficacy: Stage 5

J. Magn. Reson. Imaging 2018;47:976–987.

CONFLICT OF INTEREST

Mayo Clinic and RLE, KJG, JC, MY, BD, JK, SK, RG have intellectual property rights and a financial interest in MRE technology through equity in and licensing of intellectual property through Resoundant, Inc. RLE serves as CEO of Resoundant, Inc. None of the other authors have conflicts of interest or any specific financial interests relevant to the subject of this article.

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