Literature DB >> 29430937

Removal of evidential motion-contaminated and poorly fitted image data improves IVIM diffusion MRI parameter scan-rescan reproducibility.

Olivier Chevallier1,2, Nan Zhou3, Jian He3, Romaric Loffroy2, Yì Xiáng J Wáng1.   

Abstract

Background It has been reported that intravoxel incoherent motion (IVIM) diffusion magnetic resonance imaging (MRI) scan-rescan reproducibility is unsatisfactory. Purpose To study IVIM MRI parameter reproducibility for liver parenchyma after the removal of motion-contaminated and/or poorly fitted image data. Material and Methods Eighteen healthy volunteers had liver scans twice in the same session to assess scan-rescan repeatability, and again in another session after an average interval of 13 days to assess reproducibility. Diffusion-weighted images were acquired with a 3-T scanner using respiratory-triggered echo-planar sequence and 16 b-values (0-800 s/mm2). Measurement was performed on the right liver with segment-unconstrained least square fitting. Image series with evidential anatomical mismatch, apparent artifacts, and poorly fitted signal intensity vs. b-value curve were excluded. A minimum of three slices was deemed necessary for IVIM parameter estimation. Results With a total 54 examinations, six did not satisfy inclusion criteria, leading to a success rate of 89%, and 14 volunteers were finally included for the repeatability/reproducibility study. A total of 3-10 slices per examination (mean = 5.3 slices, median = 5 slices) were utilized for analysis. Using threshold b-value = 80 s/mm2, the coefficient of variation and within-subject coefficient of variation for repeatability were 2.86% and 3.36% for Dslow, 3.81% and 4.24% for perfusion fraction (PF), 18.16% and 24.88% for Dfast; and those for reproducibility were 2.48% and 3.24% for Dslow, 4.91% and 5.38% for PF, and 21.18% and 30.89% for Dfast. Conclusion Removal of motion-contaminated and/or poorly fitted image data improves IVIM parameter reproducibility.

Entities:  

Keywords:  Diffusion-weighted imaging; intravoxel incoherent motion; liver; reproducibility

Mesh:

Year:  2018        PMID: 29430937     DOI: 10.1177/0284185118756949

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


  8 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.  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

5.  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

6.  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

Review 7.  Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.

Authors:  Mami Iima
Journal:  Magn Reson Med Sci       Date:  2020-06-15       Impact factor: 2.471

8.  An optimal acquisition and post-processing pipeline for hybrid IVIM-DKI in head and neck.

Authors:  Nienke D Sijtsema; Steven F Petit; Dirk H J Poot; Gerda M Verduijn; Aad van der Lugt; Mischa S Hoogeman; Juan A Hernandez-Tamames
Journal:  Magn Reson Med       Date:  2020-08-31       Impact factor: 4.668

  8 in total

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