Literature DB >> 27865032

Intravoxel incoherent motion diffusion-weighted MRI of the abdomen: The effect of fitting algorithms on the accuracy and reliability of the parameters.

Hyo Jung Park1, Yu Sub Sung1, Seung Soo Lee1, Yedaun Lee2, Hyunhee Cheong1, Yeong Jae Kim1, Moon-Gyu Lee1.   

Abstract

PURPOSE: To evaluate the influence of fitting methods on the accuracy and reliability of intravoxel incoherent motion (IVIM) parameters, with a particular emphasis on the constraint function.
MATERIALS AND METHODS: Diffusion-weighted (DW) imaging data were analyzed using IVIM-based full-fitting (simultaneous fit of all parameters) and segmented-fitting (step-by-step fit of each parameter), each with and without the constraint function, to estimate the molecular diffusion coefficient (Dslow ), perfusion fraction (f), and flow-related diffusion coefficient (Dfast ). Computational simulations were performed at variable signal-to-noise ratios to evaluate the relative error (RE) and coefficient of variation (CV) of the estimated IVIM parameters. DW imaging of the abdomen was performed twice at 1.5 Tesla using nine b-values (0-900 s/mm2 ) in 12 health volunteers (6 men and 6 women; mean age: 30 years). The measurement repeatability of IVIM parameters in the liver and the pancreas was evaluated using the within-subject coefficient of variation (w CV).
RESULTS: In simulations, full-fitting without the constraint function yielded the largest RE (P < 0.001 for Dslow and f; P ≤ 0.044 for Dfast ) and CV (P ≤ 0.033 for Dslow and f; P ≤ 0.473 for Dfast ) for IVIM parameters among all four algorithms. In volunteer imaging, full-fitting without the constraint function also resulted in the poorest repeatability for Dslow (w CV, 17.12%-65.45%) and f (w CV, 19.35%-42.84%) in the liver and pancreas, while the other algorithms had similar repeatability values (w CV, 4.05%-11.99% for Dslow and 9.65%-18.66% for f). Measurement repeatability of Dfast (w CV, 29.52%-85.01%) was the poorest among the IVIM parameters.
CONCLUSION: For accurate and reliable measurement of IVIM parameters, segmented fitting or full-fitting with the constraint function should be used for IVIM-based analysis of DW imaging. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;45:1637-1647.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  Monte Carlo simulation; constraint function; diffusion-weighted imaging; in vivo; intra-voxel incoherent motion; magnetic resonance imaging

Mesh:

Year:  2016        PMID: 27865032     DOI: 10.1002/jmri.25535

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


  21 in total

1.  Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f).

Authors:  Oscar Jalnefjord; Mats Andersson; Mikael Montelius; Göran Starck; Anna-Karin Elf; Viktor Johanson; Johanna Svensson; Maria Ljungberg
Journal:  MAGMA       Date:  2018-08-16       Impact factor: 2.310

Review 2.  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 3.  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

Review 4.  Quantitative pancreatic MRI: a pathology-based review.

Authors:  Manil D Chouhan; Louisa Firmin; Samantha Read; Zahir Amin; Stuart A Taylor
Journal:  Br J Radiol       Date:  2019-06-14       Impact factor: 3.039

5.  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

6.  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

7.  Intra-voxel incoherent motion MRI of the living human foetus: technique and test-retest repeatability.

Authors:  András Jakab; Ruth Tuura; Raimund Kottke; Christian J Kellenberger; Ianina Scheer
Journal:  Eur Radiol Exp       Date:  2017-12-22

8.  Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors.

Authors:  Gang-Feng Li; Shi-Jun Duan; Lin-Feng Yan; Wen Wang; Yong Jing; Wei-Qiang Yan; Qian Sun; Shu-Mei Wang; Hai-Yan Nan; Tian-Yong Xu; Dan-Dan Zheng; Yu-Chuan Hu; Guang-Bin Cui
Journal:  Oncotarget       Date:  2017-07-04

9.  Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging.

Authors:  Emma M Meeus; Jan Novak; Hamid Dehghani; Andrew C Peet
Journal:  MAGMA       Date:  2017-10-26       Impact factor: 2.310

10.  Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patients.

Authors:  Oliver J Gurney-Champion; Remy Klaassen; Martijn Froeling; Sebastiano Barbieri; Jaap Stoker; Marc R W Engelbrecht; Johanna W Wilmink; Marc G Besselink; Arjan Bel; Hanneke W M van Laarhoven; Aart J Nederveen
Journal:  PLoS One       Date:  2018-04-04       Impact factor: 3.240

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