Literature DB >> 33672277

Evidence of Tri-Exponential Decay for Liver Intravoxel Incoherent Motion MRI: A Review of Published Results and Limitations.

Olivier Chevallier1, Yì Xiáng J Wáng2, Kévin Guillen1, Julie Pellegrinelli1, Jean-Pierre Cercueil1, Romaric Loffroy1.   

Abstract

Diffusion weighted imaging (DWI) and intravoxel incoherent motion (IVIM) have been explored to assess liver tumors and diffused liver diseases. IVIM reflects the microscopic translational motions that occur in voxels in magnetic resonance (MR) DWI. In biologic tissues, molecular diffusion of water and microcirculation of blood in the capillary network can be assessed using IVIM DWI. The most commonly applied model to describe the DWI signal is a bi-exponential model, with a slow compartment of diffusion linked to pure molecular diffusion (represented by the coefficient Dslow), and a fast compartment of diffusion, related to microperfusion (represented by the coefficient Dfast). However, high variance in Dfast estimates has been consistently shown in literature for liver IVIM, restricting its application in clinical practice. This variation could be explained by the presence of another very fast compartment of diffusion in the liver. Therefore, a tri-exponential model would be more suitable to describe the DWI signal. This article reviews the published evidence of the existence of this additional very fast diffusion compartment and discusses the performance and limitations of the tri-exponential model for liver IVIM in current clinical settings.

Entities:  

Keywords:  b-value; diffusion weighted imaging; intravoxel incoherent motion; liver; tri-exponential

Year:  2021        PMID: 33672277     DOI: 10.3390/diagnostics11020379

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  4 in total

1.  Precision of region of interest-based tri-exponential intravoxel incoherent motion quantification and the role of the Intervoxel spatial distribution of flow velocities.

Authors:  Gregory Simchick; Diego Hernando
Journal:  Magn Reson Med       Date:  2022-08-15       Impact factor: 3.737

2.  Bi-exponential fitting excluding b=0 data improves the scan-rescan stability of liver IVIM parameter measures and particularly so for the perfusion fraction.

Authors:  Cun-Jing Zheng; Ben-Heng Xiao; Hua Huang; Nan Zhou; Tai-Yu Yan; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2022-06

3.  More promising results of liver intravoxel incoherent motion imaging analysis for the assessment of nonalcoholic steatohepatitis and fibrosis.

Authors:  Yì Xiáng J Wáng; Ben-Heng Xiao; Cun-Jing Zheng; Ting Li; Nazmi Che-Nordin; Wei Wang
Journal:  Ann Transl Med       Date:  2021-08

4.  Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting compared to least-squares fitting in non-alcoholic fatty liver disease.

Authors:  Marian A Troelstra; Anne-Marieke Van Dijk; Julia J Witjes; Anne Linde Mak; Diona Zwirs; Jurgen H Runge; Joanne Verheij; Ulrich H Beuers; Max Nieuwdorp; Adriaan G Holleboom; Aart J Nederveen; Oliver J Gurney-Champion
Journal:  Front Physiol       Date:  2022-09-06       Impact factor: 4.755

  4 in total

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