Literature DB >> 32964585

Quantitative Magnetization Transfer Detects Renal Fibrosis in Murine Kidneys With Renal Artery Stenosis.

Kai Jiang1, Yiyuan Fang1, Christopher M Ferguson1, Hui Tang1, Prasanna K Mishra2, Slobodan I Macura2, Lilach O Lerman1.   

Abstract

BACKGROUND: Renal fibrosis is a common pathway in tubulointerstitial injury and a major determinant of renal insufficiency. Collagen deposition, a key feature of renal fibrosis, may serve as an imaging biomarker to differentiate scarred from healthy kidneys.
PURPOSE: To test the feasibility of using quantitative magnetization transfer (qMT), which assesses tissue macromolecule content, to measure renal fibrosis. STUDY TYPE: Prospective. ANIMAL MODEL: Fifteen 129S1 mice were studied 4 weeks after either sham (n = 7) or unilateral renal artery stenosis (RAS, n = 8) surgeries. FIELD STRENGTH/SEQUENCE: Magnetization transfer (MT)-weighted images were acquired at 16.4T using an MT-prepared fast-low-angle-shot sequence. Renal B0, B1, and T1 maps were also acquired, using a dual-echo gradient echo, an actual flip angle, and inversion recovery method, respectively. ASSESSMENT: A two-pool model was used to estimate the bound water fraction (f) and other tissue imaging biomarkers. Masson's trichrome staining was subsequently performed ex vivo to evaluate renal fibrosis. STATISTICAL TESTS: Comparisons of renal parameters between sham and RAS were performed using independent samples t-tests. Pearson's correlation was conducted to investigate the relationship between renal fibrosis by histology and the qMT-derived bound pool fraction f.
RESULTS: The two-pool model provided accurate fittings of measured MT signal. The qMT-derived f of RAS kidneys was significantly increased compared to sham in all kidney zones (renal cortex [CO], 7.6 ± 2.4% vs. 4.6 ± 0.6%; outer medulla [OM], 8.2 ± 4.2% vs. 4.2 ± 0.9%; inner medulla [IM] + P, 5.8 ± 1.6% vs. 2.9 ± 0.6%, all P < 0.05). Measured f correlated well with histological fibrosis in all kidney zones (CO, Pearson's correlation coefficient r = 0.95; OM, r = 0.93; IM + P, r = 0.94, all P < 0.05). DATA
CONCLUSION: The bound pool fraction f can be quantified using qMT at 16.4T in murine kidneys, increases significantly in fibrotic RAS kidneys, and correlates well with fibrosis by histology. Therefore, qMT may constitute a valuable tool for measuring renal fibrosis in RAS. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY STAGE: 3.
© 2020 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  histology; quantitative magnetization transfer; renal artery stenosis; renal fibrosis

Year:  2020        PMID: 32964585      PMCID: PMC7965778          DOI: 10.1002/jmri.27370

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


  40 in total

Review 1.  Cellular and molecular mechanisms of renal fibrosis.

Authors:  Youhua Liu
Journal:  Nat Rev Nephrol       Date:  2011-10-18       Impact factor: 28.314

2.  An extended two-point Dixon algorithm for calculating separate water, fat, and B0 images.

Authors:  T E Skinner; G H Glover
Journal:  Magn Reson Med       Date:  1997-04       Impact factor: 4.668

Review 3.  Renal interstitial fibrosis: mechanisms and evaluation.

Authors:  Alton B Farris; Robert B Colvin
Journal:  Curr Opin Nephrol Hypertens       Date:  2012-05       Impact factor: 2.894

4.  Living renal allograft transplantation: diffusion-weighted MR imaging in longitudinal follow-up of the donated and the remaining kidney.

Authors:  Ute Eisenberger; Tobias Binser; Harriet C Thoeny; Chris Boesch; Felix J Frey; Peter Vermathen
Journal:  Radiology       Date:  2013-11-13       Impact factor: 11.105

5.  Measurement of murine kidney functional biomarkers using DCE-MRI: A multi-slice TRICKS technique and semi-automated image processing algorithm.

Authors:  Kai Jiang; Hui Tang; Prasanna K Mishra; Slobodan I Macura; Lilach O Lerman
Journal:  Magn Reson Imaging       Date:  2019-08-20       Impact factor: 2.546

6.  Longitudinal assessment of spinal cord injuries in nonhuman primates with quantitative magnetization transfer.

Authors:  Feng Wang; Ke Li; Arabinda Mishra; Daniel Gochberg; Li Min Chen; John C Gore
Journal:  Magn Reson Med       Date:  2015-05-08       Impact factor: 4.668

7.  Imaging of Primary Brain Tumors and Metastases with Fast Quantitative 3-Dimensional Magnetization Transfer.

Authors:  Meritxell Garcia; Monika Gloor; Oliver Bieri; Ernst-Wilhelm Radue; Johanna M Lieb; Dominik Cordier; Christoph Stippich
Journal:  J Neuroimaging       Date:  2015-02-20       Impact factor: 2.486

8.  Magnetization Transfer Magnetic Resonance Imaging Noninvasively Detects Renal Fibrosis in Swine Atherosclerotic Renal Artery Stenosis at 3.0 T.

Authors:  Kai Jiang; Christopher M Ferguson; John R Woollard; Xiangyang Zhu; Lilach O Lerman
Journal:  Invest Radiol       Date:  2017-11       Impact factor: 6.016

Review 9.  Cellular and molecular mechanisms of fibrosis.

Authors:  T A Wynn
Journal:  J Pathol       Date:  2008-01       Impact factor: 7.996

10.  Precise estimate of fundamental in-vivo MT parameters in human brain in clinically feasible times.

Authors:  A Ramani; C Dalton; D H Miller; P S Tofts; G J Barker
Journal:  Magn Reson Imaging       Date:  2002-12       Impact factor: 2.546

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  1 in total

1.  Reliable Assessment of Swine Renal Fibrosis Using Quantitative Magnetization Transfer Imaging.

Authors:  Kai Jiang; Christopher M Ferguson; Roger C Grimm; Xiangyang Zhu; James F Glockner; Lilach O Lerman
Journal:  Invest Radiol       Date:  2022-05-01       Impact factor: 6.016

  1 in total

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