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Detecting Cellular Microstructural Changes of Liver Fibrosis with Time-Dependent Diffusion MRI.

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  • 1From the Departments of Radiology (L.Z., X. Long, L.C., X.H., Z.L., B.L., X. Liu, H.S.) and Pathology (J.F.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (L.Z., X. Long, L.C., X.H., Z.L., B.L., X. Liu, H.S.); Department of Clinical & Technical Solutions, Philips Healthcare, Beijing, China (X.Z., P.S., J.W.); Department of Pathology, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, China (Y.Y.); and National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China (X. Liu).

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Time-dependent diffusion MRI effectively maps liver microstructure changes during fibrosis progression. Cell diameter and intracellular volume fraction (ICVF) show promise for grading liver fibrosis.

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Area of Science:

  • Biomedical Imaging
  • Radiology
  • Liver Disease Research

Background:

  • Established methods for imaging liver fibrosis progression are limited.
  • Time-dependent diffusion MRI's potential in this area remains underexplored.

Purpose of the Study:

  • To evaluate time-dependent diffusion MRI for mapping liver microstructure during fibrosis progression.
  • To assess its utility in characterizing cellular changes and grading liver fibrosis.

Main Methods:

  • A rat model of liver fibrosis was induced using diethylnitrosamine.
  • Time-dependent diffusion MRI was performed at multiple diffusion times (5.4, 10.7, 69.3 msec).
  • Microstructural parameters (cell diameter, ICVF, cellularity) were estimated using the IMPULSED model and validated histopathologically.

Main Results:

  • Progressive fibrosis showed decreased cell diameter and increased intracellular volume fraction (ICVF) and cellularity.
  • MRI-derived parameters strongly correlated with histopathologic findings (e.g., cell diameter r=0.84, ICVF r=0.62).
  • Cell diameter and ICVF demonstrated good discrimination ability for liver fibrosis.

Conclusions:

  • Time-dependent diffusion MRI provides quantitative microstructural mapping across the fibrosis to cirrhosis spectrum.
  • Cell diameter, ICVF, and cellularity are reliable quantitative markers for liver fibrosis.
  • This technique holds potential for non-invasive grading of liver fibrosis.