Literature DB >> 30941806

On the Field Strength Dependence of Bi- and Triexponential Intravoxel Incoherent Motion (IVIM) Parameters in the Liver.

Andreas Julian Riexinger1, Jan Martin1, Susanne Rauh1, Andreas Wetscherek2, Mona Pistel1, Tristan Anselm Kuder3, Armin Michael Nagel1, Michael Uder1, Bernhard Hensel4, Lars Müller3,5, Frederik Bernd Laun1.   

Abstract

BACKGROUND: Studies on intravoxel incoherent motion (IVIM) imaging are carried out with different acquisition protocols.
PURPOSE: To investigate the dependence of IVIM parameters on the B0 field strength when using a bi- or triexponential model. STUDY TYPE: Prospective. STUDY POPULATION: 20 healthy volunteers (age: 19-28 years). FIELD STRENGTH/SEQUENCE: Volunteers were examined at two field strengths (1.5 and 3T). Diffusion-weighted images of the abdomen were acquired at 24 b-values ranging from 0.2 to 500 s/mm2 . ASSESSMENT: ROIs were manually drawn in the liver. Data were fitted with a bi- and a triexponential IVIM model. The resulting parameters were compared between both field strengths. STATISTICAL TESTS: One-way analysis of variance (ANOVA) and Kruskal-Wallis test were used to test the obtained IVIM parameters for a significant field strength dependency.
RESULTS: At b-values below 6 s/mm2 , the triexponential model provided better agreement with the data than the biexponential model. The average tissue diffusivity was D = 1.22/1.00 μm2 /msec at 1.5/3T. The average pseudodiffusion coefficients for the biexponential model were D* = 308/260 μm2 /msec at 1.5/3T; and for the triexponential model D 1 * = 81.3/65.9 μm2 /msec, D 2 * = 2453/2333 μm2 /msec at 1.5/3T. The average perfusion fractions for the biexponential model were f = 0.286/0.303 at 1.5/3T; and for the triexponential model f1 = 0.161/0.174 and f2 = 0.152/0.159 at 1.5/3T. A significant B0 dependence was only found for the biexponential pseudodiffusion coefficient (ANOVA/KW P = 0.037/0.0453) and tissue diffusivity (ANOVA/KW: P < 0.001). DATA
CONCLUSION: Our experimental results suggest that triexponential pseudodiffusion coefficients and perfusion fractions obtained at different field strengths could be compared across different studies using different B0 . However, it is recommended to take the field strength into account when comparing tissue diffusivities or using the biexponential IVIM model. Considering published values for oxygenation-dependent transversal relaxation times of blood, it is unlikely that the two blood compartments of the triexponential model represent venous and arterial blood. LEVEL OF EVIDENCE: 1 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2019;50:1883-1892.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  IVIM; intravoxel incoherent motion; liver

Year:  2019        PMID: 30941806     DOI: 10.1002/jmri.26730

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

Review 1.  Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion.

Authors:  Yi Xiang J Wang; Hua Huang; Cun-Jing Zheng; Ben-Heng Xiao; Olivier Chevallier; Wei Wang
Journal:  Am J Nucl Med Mol Imaging       Date:  2021-04-15

2.  Mutual constraining of slow component and fast component measures: some observations in liver IVIM imaging.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2021-06

3.  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

4.  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

5.  b value and first-order motion moment optimized data acquisition for repeatable quantitative intravoxel incoherent motion DWI.

Authors:  Gregory Simchick; Ruiqi Geng; Yuxin Zhang; Diego Hernando
Journal:  Magn Reson Med       Date:  2022-01-28       Impact factor: 3.737

Review 6.  Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.

Authors:  Paddy J Slator; Marco Palombo; Karla L Miller; Carl-Fredrik Westin; Frederik Laun; Daeun Kim; Justin P Haldar; Dan Benjamini; Gregory Lemberskiy; Joao P de Almeida Martins; Jana Hutter
Journal:  Magn Reson Med       Date:  2021-08-19       Impact factor: 3.737

7.  Value of intravoxel incoherent motion in detecting and staging liver fibrosis: A meta-analysis.

Authors:  Zheng Ye; Yi Wei; Jie Chen; Shan Yao; Bin Song
Journal:  World J Gastroenterol       Date:  2020-06-21       Impact factor: 5.742

8.  Correlation Between IVIM-DWI Parameters and Pathological Classification of Idiopathic Orbital Inflammatory Pseudotumors: A Preliminary Study.

Authors:  Jian Pu; Yi Liang; Qian He; Ju-Wei Shao; Min-Jie Zhou; Shu-Tian Xiang; Ying-Wen Li; Jian-Bo Li; Shun-Jun Ji
Journal:  Front Oncol       Date:  2022-03-11       Impact factor: 6.244

9.  Optimal acquisition scheme for flow-compensated intravoxel incoherent motion diffusion-weighted imaging in the abdomen: An accurate and precise clinically feasible protocol.

Authors:  Oliver J Gurney-Champion; Susanne S Rauh; Kevin Harrington; Uwe Oelfke; Frederik B Laun; Andreas Wetscherek
Journal:  Magn Reson Med       Date:  2019-09-30       Impact factor: 4.668

10.  Characterisation of microvessel blood velocity and segment length in the brain using multi-diffusion-time diffusion-weighted MRI.

Authors:  Lauren A Scott; Ben R Dickie; Shelley D Rawson; Graham Coutts; Timothy L Burnett; Stuart M Allan; Geoff Jm Parker; Laura M Parkes
Journal:  J Cereb Blood Flow Metab       Date:  2020-12-16       Impact factor: 6.200

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