Literature DB >> 28629565

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

René van der Bel1, Oliver J Gurney-Champion2, Martijn Froeling3, Erik S G Stroes1, Aart J Nederveen4, C T Paul Krediet5.   

Abstract

In the kidneys, there is both blood flow through the capillaries and flow of pre-urine through the tubuli and collecting ducts. We hypothesized that diffusion-weighted (DW) MRI measures both blood and pre-urine flow when using a tri-exponential intravoxel incoherent motion (IVIM) model. Our aim was to systematically investigate and optimize tri-exponential IVIM-analysis for the kidney and test its sensitivity to renal perfusion changes in humans. The tri-exponential fit probes the diffusion coefficient (D), the intermediate (D*i) and fast (D*f) pseudo-diffusion coefficients, and their signal fractions, fD, fi and ff. First, we studied the effects of fixing the D*-coefficients of the tri-exponential fit using in silico simulations. Then, using a 3T MRI scanner, DW images were acquired in healthy subjects (18-24 years) and we assessed the within-subject coefficient of variation (wsCV, n=6). Then, renal perfusion was modulated by Angiotensin II infusion during which DW imaging of the kidneys and phase contrast MRI of the renal artery was performed (n=8). Radioisotope clearing tests were used to assess the glomerular filtration rate. Simulations showed that fixing the D*-coefficients - which could potentially increase the fit stability - in fact decreased the precision of the model. Changes in D*-coefficients were translated into the f-parameters instead. Fixing D*-coefficients resulted in a stronger response of the fit parameters to the intervention. Using this model, the wsCVs for D, fD, fi and ff were 2.4%, 0.8%, 3.5%, 19.4% respectively. fi decreased by 14% (p=0.059) and ff increased by 32% (p=0.004) between baseline and maximal Angiotensin II dose. ff inversely correlated to renal plasma flow (R=-0.70, p<0.01) and fi correlated to glomerular filtration rate (R=0.39, p=0.026). We validated a kidney-specific method for IVIM analysis using a tri-exponential model. The model is able to track renal perfusion changes induced by Angiotensin II.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Angiotensin II; Diffusion-weighted imaging; Functional imaging; Intravoxel incoherent motion; Kidney; Magnetic resonance imaging; Perfusion

Mesh:

Year:  2017        PMID: 28629565     DOI: 10.1016/j.ejrad.2017.03.008

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  7 in total

1.  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

2.  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

3.  Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings.

Authors:  Sophie van Baalen; Martijn Froeling; Marino Asselman; Caroline Klazen; Claire Jeltes; Lotte van Dijk; Bart Vroling; Pieter Dik; Bennie Ten Haken
Journal:  Cancer Imaging       Date:  2018-11-26       Impact factor: 3.909

4.  Estimation of intravoxel incoherent motion parameters using low b-values.

Authors:  Chen Ye; Daoyun Xu; Yongbin Qin; Lihui Wang; Rongpin Wang; Wuchao Li; Zixiang Kuai; Yuemin Zhu
Journal:  PLoS One       Date:  2019-02-06       Impact factor: 3.240

5.  Repeatability of IVIM biomarkers from diffusion-weighted MRI in head and neck: Bayesian probability versus neural network.

Authors:  Thomas Koopman; Roland Martens; Oliver J Gurney-Champion; Maqsood Yaqub; Cristina Lavini; Pim de Graaf; Jonas Castelijns; Ronald Boellaard; J Tim Marcus
Journal:  Magn Reson Med       Date:  2021-01-26       Impact factor: 4.668

6.  Continuous diffusion spectrum computation for diffusion-weighted magnetic resonance imaging of the kidney tubule system.

Authors:  Joāo S Periquito; Thomas Gladytz; Jason M Millward; Paula Ramos Delgado; Kathleen Cantow; Dirk Grosenick; Luis Hummel; Ariane Anger; Kaixuan Zhao; Erdmann Seeliger; Andreas Pohlmann; Sonia Waiczies; Thoralf Niendorf
Journal:  Quant Imaging Med Surg       Date:  2021-07

7.  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

  7 in total

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