Literature DB >> 29742916

Dependence of intravoxel incoherent motion diffusion MR threshold b-value selection for separating perfusion and diffusion compartments and liver fibrosis diagnostic performance.

Yì Xiáng J Wáng1, Yáo T Li1, Olivier Chevallier1,2, Hua Huang3, Jason Chi Shun Leung4, Weitian Chen1, Pu-Xuan Lu5.   

Abstract

BACKGROUND: Intravoxel incoherent motion (IVIM) tissue parameters depend on the threshold b-value.
PURPOSE: To explore how threshold b-value impacts PF ( f), Dslow ( D), and Dfast ( D*) values and their performance for liver fibrosis detection.
MATERIAL AND METHODS: Fifteen healthy volunteers and 33 hepatitis B patients were included. With a 1.5-T magnetic resonance (MR) scanner and respiration gating, IVIM data were acquired with ten b-values of 10, 20, 40, 60, 80, 100, 150, 200, 400, and 800 s/mm2. Signal measurement was performed on the right liver. Segmented-unconstrained analysis was used to compute IVIM parameters and six threshold b-values in the range of 40-200 s/mm2 were compared. PF, Dslow, and Dfast values were placed along the x-axis, y-axis, and z-axis, and a plane was defined to separate volunteers from patients.
RESULTS: Higher threshold b-values were associated with higher PF measurement; while lower threshold b-values led to higher Dslow and Dfast measurements. The dependence of PF, Dslow, and Dfast on threshold b-value differed between healthy livers and fibrotic livers; with the healthy livers showing a higher dependence. Threshold b-value = 60 s/mm2 showed the largest mean distance between healthy liver datapoints vs. fibrotic liver datapoints, and a classification and regression tree showed that a combination of PF (PF < 9.5%), Dslow (Dslow < 1.239 × 10-3 mm2/s), and Dfast (Dfast < 20.85 × 10-3 mm2/s) differentiated healthy individuals and all individual fibrotic livers with an area under the curve of logistic regression (AUC) of 1.
CONCLUSION: For segmented-unconstrained analysis, the selection of threshold b-value = 60 s/mm2 improves IVIM differentiation between healthy livers and fibrotic livers.

Entities:  

Keywords:  Magnetic resonance imaging (MRI); diffusion; fibrosis; intravoxel incoherent motion (IVIM); liver; perfusion

Mesh:

Year:  2018        PMID: 29742916     DOI: 10.1177/0284185118774913

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  7 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

Review 2.  Topics on quantitative liver magnetic resonance imaging.

Authors:  Yì Xiáng J Wáng; Xiaoqi Wang; Peng Wu; Yajie Wang; Weibo Chen; Huijun Chen; Jianqi Li
Journal:  Quant Imaging Med Surg       Date:  2019-11

3.  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

4.  Intravoxel incoherent motion derived liver perfusion/diffusion readouts can be reliable biomarker for the detection of viral hepatitis B induced liver fibrosis.

Authors:  Ting Li; Nazmi Che-Nordin; Yì Xiáng J Wáng; Peng-Fei Rong; Shi-Wen Qiu; Sheng-Wang Zhang; Pan Zhang; Yong-Fang Jiang; Olivier Chevallier; Feng Zhao; Xiao-Yi Xiao; Wei Wang
Journal:  Quant Imaging Med Surg       Date:  2019-03

5.  High performance of intravoxel incoherent motion diffusion MRI in detecting viral hepatitis-b induced liver fibrosis.

Authors:  Hua Huang; Nazmi Che-Nordin; Li-Fei Wang; Ben-Heng Xiao; Olivier Chevallier; Yong-Xing Yun; Sheng-Wen Guo; Yì Xiáng J Wáng
Journal:  Ann Transl Med       Date:  2019-02

6.  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

7.  Improved Performance of Compartments in Detecting the Activity of Axial Spondyloarthritis Based on IVIM DWI with Optimized Threshold b Value.

Authors:  Qiang Ye; Zhuoyao Xie; Chang Guo; Xing Lu; Kai Zheng; Yinghua Zhao
Journal:  Biomed Res Int       Date:  2022-01-10       Impact factor: 3.411

  7 in total

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