Literature DB >> 35968580

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

Gregory Simchick1,2, Diego Hernando1,2.   

Abstract

PURPOSE: The purpose of this work was to obtain precise tri-exponential intravoxel incoherent motion (IVIM) quantification in the liver using 2D (b-value and first-order motion moment [M1 ]) IVIM-DWI acquisitions and region of interest (ROI)-based fitting techniques.
METHODS: Diffusion MRI of the liver was performed in 10 healthy volunteers using three IVIM-DWI acquisitions: conventional monopolar, optimized monopolar, and optimized 2D (b-M1 ). For each acquisition, bi-exponential and tri-exponential full, segmented, and over-segmented ROI-based fitting and a newly proposed blood velocity SDdistribution (BVD) fitting technique were performed to obtain IVIM estimates in the right and left liver lobes. Fitting quality was evaluated using corrected Akaike information criterion. Precision metrics (test-retest repeatability, inter-reader reproducibility, and inter-lobar agreement) were evaluated using Bland-Altman analysis, repeatability/reproducibility coefficients (RPCs), and paired sample t-tests. Precision was compared across acquisitions and fitting methods.
RESULTS: High repeatability and reproducibility was observed in the estimations of the diffusion coefficient (Dtri  = [1.03 ± 0.11] × 10-3  mm2 /s; RPCs ≤ 1.34 × 10-4  mm2 /s), perfusion fractions (F1  = 3.19 ± 1.89% and F2  = 16.4 ± 2.07%; RPCs ≤ 2.51%), and blood velocity SDs (Vb,1  = 1.44 ± 0.14 mm/s and Vb,2  = 3.62 ± 0.13 mm/s; RPCs ≤ 0.41 mm/s) in the right liver lobe using the 2D (b-M1 ) acquisition in conjunction with BVD fitting. Using these methods, significantly larger (p < 0.01) estimates of Dtri and F1 were observed in the left lobe in comparison to the right lobe, while estimates of Vb,1 and Vb,2 demonstrated high interlobar agreement (RPCs ≤ 0.45 mm/s).
CONCLUSIONS: The 2D (b-M1 ) IVIM-DWI data acquisition in conjunction with BVD fitting enables highly precise tri-exponential IVIM quantification in the right liver lobe.
© 2022 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  abdomen; diffusion weighted imaging; intravoxel incoherent motion; liver; quantitative magnetic resonance imaging

Mesh:

Year:  2022        PMID: 35968580      PMCID: PMC9529845          DOI: 10.1002/mrm.29406

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   3.737


  55 in total

1.  Oxygenation and hematocrit dependence of transverse relaxation rates of blood at 3T.

Authors:  Jason M Zhao; Chekesha S Clingman; M Johanna Närväinen; Risto A Kauppinen; Peter C M van Zijl
Journal:  Magn Reson Med       Date:  2007-09       Impact factor: 4.668

2.  An intravoxel incoherent motion diffusion-weighted imaging study of prostate cancer.

Authors:  Hiroshi Shinmoto; Chiharu Tamura; Shigeyoshi Soga; Eisuke Shiomi; Nobuyuki Yoshihara; Tatsumi Kaji; Robert V Mulkern
Journal:  AJR Am J Roentgenol       Date:  2012-10       Impact factor: 3.959

3.  A tri-exponential model for intravoxel incoherent motion analysis of the human kidney: In silico and during pharmacological renal perfusion modulation.

Authors:  René van der Bel; Oliver J Gurney-Champion; Martijn Froeling; Erik S G Stroes; Aart J Nederveen; C T Paul Krediet
Journal:  Eur J Radiol       Date:  2017-03-21       Impact factor: 3.528

4.  An optimized b-value distribution for triexponential intravoxel incoherent motion (IVIM) in the liver.

Authors:  Andreas Riexinger; Jan Martin; Andreas Wetscherek; Tristan Anselm Kuder; Michael Uder; Bernhard Hensel; Frederik Bernd Laun
Journal:  Magn Reson Med       Date:  2020-11-17       Impact factor: 4.668

5.  Intravoxel incoherent motion diffusion-weighted MR imaging of the liver: effect of triggering methods on regional variability and measurement repeatability of quantitative parameters.

Authors:  Yedaun Lee; Seung Soo Lee; Namkug Kim; Eunki Kim; Yeong Jae Kim; Sung-Cheol Yun; Bernd Kühn; In Seong Kim; Seong Ho Park; So Yeon Kim; Moon-Gyu Lee
Journal:  Radiology       Date:  2014-09-17       Impact factor: 11.105

6.  Deep learning-guided weighted averaging for signal dropout compensation in DWI of the liver.

Authors:  Fasil Gadjimuradov; Thomas Benkert; Marcel Dominik Nickel; Tobit Führes; Marc Saake; Andreas Maier
Journal:  Magn Reson Med       Date:  2022-08-02       Impact factor: 3.737

7.  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

8.  Intravoxel incoherent motion diffusion-weighted MR imaging of the liver using respiratory-cardiac double triggering.

Authors:  Jinning Li; Caiyuan Zhang; Yanfen Cui; Huanhuan Liu; Weibo Chen; Guilong Wang; Dengbin Wang
Journal:  Oncotarget       Date:  2017-10-11

Review 9.  Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.

Authors:  Hongzhen Wu; Yingying Liang; Xinqing Jiang; Xinhua Wei; Yu Liu; Weifeng Liu; Yuan Guo; Wenjie Tang
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

10.  Intravoxel Incoherent Motion (IVIM) Diffusion-Weighted Imaging (DWI) in Patients with Liver Dysfunction of Chronic Viral Hepatitis: Segmental Heterogeneity and Relationship with Child-Turcotte-Pugh Class at 3 Tesla.

Authors:  Lei Ding; Lianxiang Xiao; Xiangtao Lin; Chunmei Xiong; Lingbo Lin; Shijun Chen
Journal:  Gastroenterol Res Pract       Date:  2018-12-16       Impact factor: 2.260

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