European Radiology

, Volume 20, Issue 10, pp 2381–2389

MR elastography of the liver at 3 T with cine-tagging and bending energy analysis: preliminary results

  • Haruo Watanabe
  • Masayuki Kanematsu
  • Teruhiko Kitagawa
  • Yuriko Suzuki
  • Hiroshi Kondo
  • Satoshi Goshima
  • Kimihiro Kajita
  • Kyongtae T. Bae
  • Yoshinobu Hirose
  • Seiki Miotani
  • Xiangrong Zhou
  • Hiroshi Fujita
Gastrointestinal

DOI: 10.1007/s00330-010-1800-0

Cite this article as:
Watanabe, H., Kanematsu, M., Kitagawa, T. et al. Eur Radiol (2010) 20: 2381. doi:10.1007/s00330-010-1800-0

Abstract

Objective:

To preliminarily evaluate the feasibility and usefulness of MR elastography of the liver at 3 T with cine-tagging and bending energy (BE) analysis for the evaluation of hepatic fibrosis.

Materials and Methods:

Twenty-two patients underwent MR elastography with four different cine-tagging grids on the liver (16- or 20-mm sagittal or coronal). Nine images serially obtained during 1-s of exhalation were analyzed to define coordinates of grid intersections. BE values were calculated using the thin-plate spline method. BE values were compared among patient groups with different fibrosis stage thresholds.

Results:

In the 22 patients, six had a fibrosis score of F0, one had F1, seven had F2, three had F3, and five had F4. Mean BE value with 16-mm sagittal grid was greater with fibrosis score F0 (1.54 ± 0.63) than with ≥F1 (0.97 ± 0.12, P = 0.013) as well as with ≤F1 (1.48 ± 0.60) than with ≥F2 (0.96 ± 0.36, P = 0.019).

Conclusion:

Our results showed that MR elastography with 16-mm sagittal grid and BE analysis had a potential in discrimination for the patients with moderate or advanced hepatic fibrosis from those with healthy liver or slight fibrosis.

Keywords

MR imaging Liver fibrosis 3 Tesla Elastography Cine-tagging 

Copyright information

© European Society of Radiology 2010

Authors and Affiliations

  • Haruo Watanabe
    • 1
  • Masayuki Kanematsu
    • 1
  • Teruhiko Kitagawa
    • 2
  • Yuriko Suzuki
    • 3
  • Hiroshi Kondo
    • 1
  • Satoshi Goshima
    • 1
  • Kimihiro Kajita
    • 1
  • Kyongtae T. Bae
    • 4
  • Yoshinobu Hirose
    • 5
  • Seiki Miotani
    • 6
  • Xiangrong Zhou
    • 6
  • Hiroshi Fujita
    • 6
  1. 1.Department of RadiologyGifu University HospitalGifuJapan
  2. 2.Department of Electronic Control EngineeringGifu National College of TechnologyMotosuJapan
  3. 3.Philips Electronics Japan Ltd., Medical SystemsTokyoJapan
  4. 4.Department of RadiologyUniversity of Pittsburgh Medical CenterPittsburghUSA
  5. 5.Department of PathologyGifu University HospitalGifuJapan
  6. 6.Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of MedicineGifu UniversityGifuJapan

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