Literature DB >> 26778459

Diffusion-Weighted imaging and diffusion tensor imaging detect delayed graft function and correlate with allograft fibrosis in patients early after kidney transplantation.

Katja Hueper1, Abedalrazag A Khalifa2, Jan H Bräsen2, Van Dai Vo Chieu1, Marcel Gutberlet1, Sabine Wintterle3, Frank Lehner4, Nicolas Richter4, Matti Peperhove1, Susanne Tewes1, Kristina Weber5, Hermann Haller3, Frank Wacker1, Wilfried Gwinner3, Faikah Gueler3, Dagmar Hartung1.   

Abstract

PURPOSE: To combine diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for detection of allograft dysfunction in patients early after kidney transplantation and to correlate diffusion parameters with renal function and renal histology of allograft biopsies.
MATERIALS AND METHODS: Between day 4 and 11 after kidney transplantation 33 patients with initial graft function and 31 patients with delayed graft function (DGF) were examined with a 1.5T magnetic resonance imaging (MRI) scanner. DTI and DWI sequences were acquired and fractional anisotropy (FA), apparent diffusion coefficient (ADCmono), pure diffusion (ADCdiff ), and the perfusion fraction (Fp) were calculated. Kidney biopsies in 26 patients were analyzed for allograft pathology, ie, acute tubular injury, inflammation, edema, renal fibrosis, and rejection. Histological results were correlated with MRI parameters.
RESULTS: In the renal medulla FA (0.25 ± 0.06 vs. 0.29 ± 0.06, P < 0.01) and ADCmono (1.73 ± 0.13*10(-3) vs. 1.93 ± 0.16*10(-3) mm(2) /s, P < 0.001) were significantly reduced in DGF patients compared with patients with initial function. For ADCdiff and Fp similar reductions were observed. FA and ADCmono significantly correlated with renal function (r = 0.53 and r = 0.57, P < 0.001) and were inversely correlated with the amount of renal fibrosis (r = -0.63 and r = -0.65, P < 0.05).
CONCLUSION: Combined DTI and DWI detected allograft dysfunction early after kidney transplantation and correlated with allograft fibrosis. J. Magn. Reson. Imaging 2016;44:112-121.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  delayed graft function; diffusion tensor imaging; diffusion weighted magnetic resonance imaging; fibrosis; kidney transplantation

Mesh:

Year:  2016        PMID: 26778459     DOI: 10.1002/jmri.25158

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


  38 in total

1.  Assessment of acute kidney injury with T1 mapping MRI following solid organ transplantation.

Authors:  Matti Peperhove; Van Dai Vo Chieu; Mi-Sun Jang; Marcel Gutberlet; Dagmar Hartung; Susanne Tewes; Gregor Warnecke; Christiane Fegbeutel; Axel Haverich; Wilfried Gwinner; Frank Lehner; Jan Hinrich Bräsen; Hermann Haller; Frank Wacker; Faikah Gueler; Katja Hueper
Journal:  Eur Radiol       Date:  2017-07-14       Impact factor: 5.315

2.  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

3.  DTI of the kidney in children: comparison between normal kidneys and those with ureteropelvic junction (UPJ) obstruction.

Authors:  Hansel J Otero; Juan S Calle-Toro; Carolina L Maya; Kassa Darge; Suraj D Serai
Journal:  MAGMA       Date:  2019-12-16       Impact factor: 2.310

4.  Have we forgotten imaging prior to and after kidney transplantation?

Authors:  Stan Benjamens; Andor W J M Glaudemans; Stefan P Berger; Riemer H J A Slart; Robert A Pol
Journal:  Eur Radiol       Date:  2018-03-07       Impact factor: 5.315

5.  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 6.  Could MRI Be Used To Image Kidney Fibrosis? A Review of Recent Advances and Remaining Barriers.

Authors:  General Leung; Anish Kirpalani; Stephen G Szeto; Maya Deeb; Warren Foltz; Craig A Simmons; Darren A Yuen
Journal:  Clin J Am Soc Nephrol       Date:  2017-03-15       Impact factor: 8.237

7.  Statistical analysis of ADCs and clinical biomarkers in detecting acute renal transplant rejection.

Authors:  Elizabeth Hollis; Mohamed Shehata; Mohamed Abou El-Ghar; Mohammed Ghazal; Tarek El-Diasty; Michael Merchant; Andrew E Switala; Ayman El-Baz
Journal:  Br J Radiol       Date:  2017-09-13       Impact factor: 3.039

Review 8.  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

9.  Selection for biopsy of kidney transplant patients by diffusion-weighted MRI.

Authors:  Philipp Steiger; Sebastiano Barbieri; Anja Kruse; Michael Ith; Harriet C Thoeny
Journal:  Eur Radiol       Date:  2017-04-03       Impact factor: 5.315

10.  Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices.

Authors:  Sila Kurugol; Bahram Marami; Onur Afacan; Simon K Warfield; Ali Gholipour
Journal:  Mol Imaging Reconstr Anal Mov Body Organs Stroke Imaging Treat (2017)       Date:  2017-09-09
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