Literature DB >> 28542095

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

Kai Jiang1, Christopher M Ferguson, John R Woollard, Xiangyang Zhu, Lilach O Lerman.   

Abstract

OBJECTIVES: Renal fibrosis is a useful biomarker for diagnosis and evaluation of therapeutic interventions of renal diseases but often requires invasive testing. Magnetization transfer magnetic resonance imaging (MT-MRI), which evaluates the presence of macromolecules, offers a noninvasive tool to probe renal fibrosis in murine renal artery stenosis (RAS) at 16.4 T. In this study, we aimed to identify appropriate imaging parameters for collagen detection at 3.0 T MRI and to test the utility of MT-MRI in measuring renal fibrosis in a swine model of atherosclerotic RAS (ARAS).
MATERIALS AND METHODS: To select the appropriate offset frequency, an MT-MRI study was performed on a phantom containing 0% to 40% collagen I and III with offset frequencies from -1600 to +1600 Hz and other MT parameters empirically set as pulse width at 16 milliseconds and flip angle at 800 degrees. Then selected MT parameters were used in vivo on pigs 12 weeks after sham (n = 8) or RAS (n = 10) surgeries. The ARAS pigs were fed with high-cholesterol diet to induce atherosclerosis. The MT ratio (MTR) was compared with ex vivo renal fibrosis measured using Sirius-red staining.
RESULTS: Offset frequencies at 600 and 1000 Hz were selected for collagen detection without direct saturation of free water signal, and subsequently applied in vivo. The ARAS kidneys showed mild cortical and medullary fibrosis by Sirius-red staining. The cortical and medullary MTRs at 600 and 1000 Hz were both increased. Renal fibrosis measured ex vivo showed good linear correlations with MTR at 600 (cortex: Pearson correlation coefficient r = 0.87, P < 0.001; medulla: r = 0.70, P = 0.001) and 1000 Hz (cortex: r = 0.75, P < 0.001; medulla: r = 0.83, P < 0.001).
CONCLUSIONS: Magnetization transfer magnetic resonance imaging can noninvasively detect renal fibrosis in the stenotic swine kidney at 3.0 T. Therefore, MT-MRI may potentially be clinically applicable and useful for detection and monitoring of renal pathology in subjects with RAS.

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Mesh:

Year:  2017        PMID: 28542095      PMCID: PMC5633514          DOI: 10.1097/RLI.0000000000000390

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  47 in total

1.  Magnetization transfer in MRI: a review.

Authors:  R M Henkelman; G J Stanisz; S J Graham
Journal:  NMR Biomed       Date:  2001-04       Impact factor: 4.044

2.  Assessment of renal hemodynamics and function in pigs with 64-section multidetector CT: comparison with electron-beam CT.

Authors:  Elena Daghini; Andrew N Primak; Alejandro R Chade; James D Krier; Xiang-Yang Zhu; Erik L Ritman; Cynthia H McCollough; Lilach O Lerman
Journal:  Radiology       Date:  2007-05       Impact factor: 11.105

Review 3.  Renal relevant radiology: renal functional magnetic resonance imaging.

Authors:  Behzad Ebrahimi; Stephen C Textor; Lilach O Lerman
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4.  Determination of Single-Kidney Glomerular Filtration Rate in Human Subjects by Using CT.

Authors:  Soon Hyo Kwon; Ahmed Saad; Sandra M Herrmann; Stephen C Textor; Lilach O Lerman
Journal:  Radiology       Date:  2015-04-06       Impact factor: 11.105

5.  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

6.  Automated segmentation and volumetric analysis of renal cortex, medulla, and pelvis based on non-contrast-enhanced T1- and T2-weighted MR images.

Authors:  Susanne Will; Petros Martirosian; Christian Würslin; Fritz Schick
Journal:  MAGMA       Date:  2014-01-30       Impact factor: 2.310

7.  Pathways of renal fibrosis and modulation of matrix turnover in experimental hypercholesterolemia.

Authors:  Alejandro R Chade; Oren P Mushin; Xiangyang Zhu; Martin Rodriguez-Porcel; Joseph P Grande; Stephen C Textor; Amir Lerman; Lilach O Lerman
Journal:  Hypertension       Date:  2005-09-19       Impact factor: 10.190

8.  Magnetization transfer ratio: a potential biomarker for the assessment of postradiation fibrosis in patients with rectal cancer.

Authors:  Milou H Martens; Doenja M J Lambregts; Nickolas Papanikolaou; Luc A Heijnen; Robert G Riedl; Axel zur Hausen; Monique Maas; Geerard L Beets; Regina G H Beets-Tan
Journal:  Invest Radiol       Date:  2014-01       Impact factor: 6.016

9.  Noninvasive Assessment of Renal Fibrosis with Magnetization Transfer MR Imaging: Validation and Evaluation in Murine Renal Artery Stenosis.

Authors:  Kai Jiang; Christopher M Ferguson; Behzad Ebrahimi; Hui Tang; Timothy L Kline; Tyson A Burningham; Prassana K Mishra; Joseph P Grande; Slobodan I Macura; Lilach O Lerman
Journal:  Radiology       Date:  2016-10-03       Impact factor: 11.105

10.  Assessment of renal artery stenosis using intravoxel incoherent motion diffusion-weighted magnetic resonance imaging analysis.

Authors:  Behzad Ebrahimi; Naveen Rihal; John R Woollard; James D Krier; Alfonso Eirin; Lilach O Lerman
Journal:  Invest Radiol       Date:  2014-10       Impact factor: 6.016

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  16 in total

1.  Assessment of renal fibrosis in murine diabetic nephropathy using quantitative magnetization transfer MRI.

Authors:  Feng Wang; Daisuke Katagiri; Ke Li; Keiko Takahashi; Suwan Wang; Shinya Nagasaka; Hua Li; C Chad Quarles; Ming-Zhi Zhang; Akira Shimizu; John C Gore; Raymond C Harris; Takamune Takahashi
Journal:  Magn Reson Med       Date:  2018-05-30       Impact factor: 4.668

2.  Noninvasive quantitative magnetization transfer MRI reveals tubulointerstitial fibrosis in murine kidney.

Authors:  Feng Wang; Suwan Wang; Yahua Zhang; Ke Li; Raymond C Harris; John C Gore; Ming-Zhi Zhang
Journal:  NMR Biomed       Date:  2019-07-29       Impact factor: 4.044

3.  Magnetic resonance elastography can monitor changes in medullary stiffness in response to treatment in the swine ischemic kidney.

Authors:  Xin Zhang; Xiangyang Zhu; Christopher Martyn Ferguson; Kai Jiang; Tyson Burningham; Amir Lerman; Lilach Orly Lerman
Journal:  MAGMA       Date:  2017-12-30       Impact factor: 2.310

Review 4.  Noninvasive assessment of renal fibrosis by magnetic resonance imaging and ultrasound techniques.

Authors:  Kai Jiang; Christopher M Ferguson; Lilach O Lerman
Journal:  Transl Res       Date:  2019-04-22       Impact factor: 7.012

5.  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

6.  Multiparametric MRI detects longitudinal evolution of folic acid-induced nephropathy in mice.

Authors:  Kai Jiang; Tristan A Ponzo; Hui Tang; Prasanna K Mishra; Slobodan I Macura; Lilach O Lerman
Journal:  Am J Physiol Renal Physiol       Date:  2018-08-08

7.  Mesenchymal Stem/Stromal Cells and their Extracellular Vesicle Progeny Decrease Injury in Poststenotic Swine Kidney Through Different Mechanisms.

Authors:  Yu Zhao; Xiangyang Zhu; Lei Zhang; Christopher M Ferguson; Turun Song; Kai Jiang; Sabena M Conley; James D Krier; Hui Tang; Ishran Saadiq; Kyra L Jordan; Amir Lerman; Lilach O Lerman
Journal:  Stem Cells Dev       Date:  2020-08-03       Impact factor: 3.272

8.  Tracking renal injury using multiparametric MRI.

Authors:  Shuangtao Ma; Chunqi Qian; Donna H Wang
Journal:  Am J Physiol Renal Physiol       Date:  2018-09-19

9.  Magnetization Transfer Imaging Predicts Porcine Kidney Recovery After Revascularization of Renal Artery Stenosis.

Authors:  Mohsen Afarideh; Kai Jiang; Christopher M Ferguson; John R Woollard; James F Glockner; Lilach O Lerman
Journal:  Invest Radiol       Date:  2021-02-01       Impact factor: 10.065

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

Authors:  Kai Jiang; Yiyuan Fang; Christopher M Ferguson; Hui Tang; Prasanna K Mishra; Slobodan I Macura; Lilach O Lerman
Journal:  J Magn Reson Imaging       Date:  2020-09-17       Impact factor: 4.813

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