Literature DB >> 31082371

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

Kai Jiang1, Christopher M Ferguson1, Lilach O Lerman2.   

Abstract

Renal fibrosis is a useful biomarker for diagnosis and guidance of therapeutic interventions of chronic kidney disease (CKD), a worldwide disease that affects more than 10% of the population and is one of the major causes of death. Currently, tissue biopsy is the gold standard for assessment of renal fibrosis. However, it is invasive, and prone to sampling error and observer variability, and may also result in complications. Recent advances in diagnostic imaging techniques, including magnetic resonance imaging (MRI) and ultrasonography, have shown promise for noninvasive assessment of renal fibrosis. These imaging techniques measure renal fibrosis by evaluating its impacts on the functional, mechanical, and molecular properties of the kidney, such as water mobility by diffusion MRI, tissue hypoxia by blood oxygenation level dependent MRI, renal stiffness by MR and ultrasound elastography, and macromolecule content by magnetization transfer imaging. Other MR techniques, such as T1/T2 mapping and susceptibility-weighted imaging have also been explored for measuring renal fibrosis. Promising findings have been reported in both preclinical and clinical studies using these techniques. Nevertheless, limited specificity, sensitivity, and practicality in these techniques may hinder their immediate application in clinical routine. In this review, we will introduce methodologies of these techniques, outline their applications in fibrosis imaging, and discuss their limitations and pitfalls.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31082371      PMCID: PMC6553637          DOI: 10.1016/j.trsl.2019.02.009

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  181 in total

1.  Detailing the relation between renal T2* and renal tissue pO2 using an integrated approach of parametric magnetic resonance imaging and invasive physiological measurements.

Authors:  Andreas Pohlmann; Karen Arakelyan; Jan Hentschel; Kathleen Cantow; Bert Flemming; Mechthild Ladwig; Sonia Waiczies; Erdmann Seeliger; Thoralf Niendorf
Journal:  Invest Radiol       Date:  2014-08       Impact factor: 6.016

2.  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

3.  Molecular imaging of hepatic stellate cell activity by visualization of hepatic integrin αvβ3 expression with SPECT in rat.

Authors:  Feng Li; Zhengji Song; Qinghua Li; Jian Wu; Jiyao Wang; Cao Xie; Chuantao Tu; Jian Wang; Xiaowei Huang; Weiyue Lu
Journal:  Hepatology       Date:  2011-06-23       Impact factor: 17.425

4.  Update on renal blood oxygenation level-dependent MRI to assess intrarenal oxygenation in chronic kidney disease.

Authors:  Pottumarthi V Prasad
Journal:  Kidney Int       Date:  2018-04       Impact factor: 10.612

5.  Clinical significance of an early protocol biopsy in living-donor renal transplantation: ten-year experience at a single center.

Authors:  Bum Soon Choi; Mi Jung Shin; Suk Joon Shin; Young Soo Kim; Yeong Jin Choi; Yong-Soo Kim; In Sung Moon; Suk Young Kim; Yong Bok Koh; Byung Kee Bang; Chul Woo Yang
Journal:  Am J Transplant       Date:  2005-06       Impact factor: 8.086

6.  Quantitative susceptibility mapping of kidney inflammation and fibrosis in type 1 angiotensin receptor-deficient mice.

Authors:  Luke Xie; Matthew A Sparks; Wei Li; Yi Qi; Chunlei Liu; Thomas M Coffman; G Allan Johnson
Journal:  NMR Biomed       Date:  2013-10-24       Impact factor: 4.044

7.  Non-invasive assessment of kidney allograft fibrosis with shear wave elastography: A radiological-pathological correlation analysis.

Authors:  Maggie Km Ma; Helen Kw Law; Kin Sun Tse; Kwok Wah Chan; Gary Cw Chan; Desmond Yh Yap; Maggie My Mok; Lorraine Py Kwan; Sydney Cw Tang; Bo Ying Choy; Tak Mao Chan
Journal:  Int J Urol       Date:  2018-02-14       Impact factor: 3.369

8.  Diffusion Kurtosis Imaging of Acute Infarction: Comparison with Routine Diffusion and Follow-up MR Imaging.

Authors:  Jianzhong Yin; Haizhen Sun; Zhiyun Wang; Hongyan Ni; Wen Shen; Phillip Zhe Sun
Journal:  Radiology       Date:  2018-03-20       Impact factor: 11.105

9.  Corticomedullary strain ratio: a quantitative marker for assessment of renal allograft cortical fibrosis.

Authors:  Jing Gao; Robert Min; James Hamilton; William Weitzel; Johnson Chen; Krishna Juluru; Jonathan M Rubin
Journal:  J Ultrasound Med       Date:  2013-10       Impact factor: 2.153

10.  Age-related non-Gaussian diffusion patterns in the prefrontal brain.

Authors:  Maria F Falangola; Jens H Jensen; James S Babb; Caixia Hu; Francisco X Castellanos; Adriana Di Martino; Steven H Ferris; Joseph A Helpern
Journal:  J Magn Reson Imaging       Date:  2008-12       Impact factor: 4.813

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  18 in total

1.  Multiparametric magnetic resonance imaging shows promising results to assess renal transplant dysfunction with fibrosis.

Authors:  Octavia Bane; Stefanie J Hectors; Sonja Gordic; Paul Kennedy; Mathilde Wagner; Amanda Weiss; Rafael Khaim; Zhengzi Yi; Weijia Zhang; Veronica Delaney; Fadi Salem; Cijiang He; Madhav C Menon; Sara Lewis; Bachir Taouli
Journal:  Kidney Int       Date:  2019-10-30       Impact factor: 10.612

2.  Value of [68Ga]Ga-FAPI-04 imaging in the diagnosis of renal fibrosis.

Authors:  Yue Zhou; Xin Yang; Huipan Liu; Wenbin Luo; Hanxiang Liu; Taiyong Lv; Junzheng Wang; Jianhua Qin; Santao Ou; Yue Chen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-04-07       Impact factor: 9.236

3.  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

4.  Clinical value of the sTim‑3 level in chronic kidney disease.

Authors:  Lingli Chen; Yuan Qin; Bo Lin; Xiaomei Yu; Shaoxiong Zheng; Xiumei Zhou; Xiaobin Liu; Yigang Wang; Biao Huang; Juan Jin; Liang Wang
Journal:  Exp Ther Med       Date:  2022-07-29       Impact factor: 2.751

5.  Noninvasive assessment of renal function and fibrosis in CKD patients using histogram analysis based on diffusion kurtosis imaging.

Authors:  Guanjie Yuan; Weinuo Qu; Shichao Li; Ping Liang; Kangwen He; Anqin Li; Jiali Li; Daoyu Hu; Chuou Xu; Zhen Li
Journal:  Jpn J Radiol       Date:  2022-10-18       Impact factor: 2.701

6.  Mapping kidney tubule diameter ex vivo by diffusion MRI.

Authors:  Darya Morozov; Neda Parvin; Jennifer R Charlton; Kevin M Bennett
Journal:  Am J Physiol Renal Physiol       Date:  2021-03-15

7.  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

Review 8.  A Review of Traditional Chinese Medicine in Treating Renal Interstitial Fibrosis via Endoplasmic Reticulum Stress-Mediated Apoptosis.

Authors:  Yu Liu; Dan-Qian Chen; Jing-Xue Han; Ting-Ting Zhao; Shu-Ju Li
Journal:  Biomed Res Int       Date:  2021-05-15       Impact factor: 3.246

9.  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

10.  Renal fibrosis detected by diffusion-weighted magnetic resonance imaging remains unchanged despite treatment in subjects with renovascular disease.

Authors:  Christopher M Ferguson; Alfonso Eirin; Abdelrhman Abumoawad; Ahmed Saad; Kai Jiang; Ahmad F Hedayat; Sanjay Misra; James Glockner; Stephen C Textor; Lilach O Lerman
Journal:  Sci Rep       Date:  2020-10-01       Impact factor: 4.379

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