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Evaluation of Hepatic Fibrosis Using Intravoxel Incoherent Motion in Diffusion-Weighted Liver MRI

Yoon, Jeong Hee MD*; Lee, Jeong Min MD*†; Baek, Jee Hyun MD*†; Shin, Cheong-il MD*; Kiefer, Berthold PhD; Han, Joon Koo MD*†; Choi, Byung-Ihn MD*†

Journal of Computer Assisted Tomography: January/February 2014 - Volume 38 - Issue 1 - p 110–116
doi: 10.1097/RCT.0b013e3182a589be
Abdominal Imaging

Objectives: To determine whether intravoxel incoherent motion (IVIM)–diffusion-weighted image (DWI)–derived parameters showed better diagnostic performance than the apparent diffusion coefficient (ADCtotal) for the evaluation of hepatic fibrosis (HF).

Methods: This retrospective study was approved by institutional review board, and informed consent was waived. Fifty-five patients with chronic liver disease who had undergone IVIM-DWI using 8 b-values at 3 T were included. True diffusion coefficient (Dt), pseudo-diffusion coefficient (Dp), perfusion fraction (f), and ADCtotal were calculated. Receiver operating characteristic analysis was performed for all parameters for the HF staging.

Results: All parameters showed a significant correlation with the HF stages (−0.31 to −0.72, P < 0.05). All parameters were significantly higher in F0 to F1 than in F4 (P < 0.05). The Dp showed better performance than the ADCtotal in differentiating significant HF (≥F2) from F0 to F1.

Conclusions: The IVIM-derived parameters and ADCtotal showed significant correlation with HF. The D p showed better diagnostic performance for differentiating significant HF than did ADCtotal.

From the *Department of Radiology, Seoul National University Hospital; and †Institute of Radiation Medicine, Seoul National University College of Medicine, Seoul, Korea; and ‡Siemens Healthcare, Erlangen, Germany.

Received for publication April 2, 2013; accepted July 16, 2013.

Reprints: Jeong Min Lee, MD, Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea (e-mail: jmsh@snu.ac.kr).

B.K. is an employee of Siemens Healthcare.

The remaining authors declare no conflict of interest.

© 2014 by Lippincott Williams & Wilkins