Literature DB >> 31874802

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

Octavia Bane1, Stefanie J Hectors2, Sonja Gordic3, Paul Kennedy1, Mathilde Wagner1, Amanda Weiss4, Rafael Khaim5, Zhengzi Yi6, Weijia Zhang6, Veronica Delaney7, Fadi Salem8, Cijiang He5, Madhav C Menon5, Sara Lewis1, Bachir Taouli9.   

Abstract

Here we assessed the diagnostic value of a quantitative multiparametric magnetic resonance imaging (mpMRI) protocol for evaluation of renal allograft dysfunction with fibrosis. Twenty-seven renal transplant patients, including 15 with stable functional allografts (eGFR mean 71.5 ml/min/1.73m2), and 12 with chronic dysfunction/established fibrosis (eGFR mean 30.1 ml/min/1.73m2), were enrolled in this prospective single-center study. Sixteen of the patients had renal biopsy (mean 150 days) before the MRI. All patients underwent mpMRI at 1.5T including intravoxel-incoherent motion diffusion-weighted imaging, diffusion tensor imaging, blood oxygen level dependent (BOLD R2*) and T1 quantification. True diffusion D, pseudodiffusion D*, perfusion fraction PF, apparent diffusion coefficient (ADC), fractional anisotropy (FA), R2* and T1 were calculated for cortex and medulla. ΔT1 was calculated as (100x(T1 Cortex-T1 Medulla)/T1 Cortex). Test-retest repeatability and inter-observer reproducibility were assessed in four and ten patients, respectively. mpMRI parameters had substantial test-retest and interobserver repeatability (coefficient of variation under 15%), except for medullary PF and D* (coefficient of variation over 25%). Cortical ADC, D, medullary ADC and ΔT1 were all significantly decreased, while cortical T1 was significantly elevated in fibrotic allografts. Cortical T1 showed positive correlation to the Banff fibrosis and tubular atrophy scores. The combination of ΔT1 and cortical ADC had excellent cross-validated diagnostic performance for detection of chronic dysfunction with fibrosis. Cortical ADC and T1 had good performance for predicting eGFR decline at 18 months (4 or more ml/min/1.73m2/year). Thus, the combination of cortical ADC and T1 measurements shows promising results for the non-invasive assessment of renal allograft histology and outcomes.
Copyright © 2019 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  T(1); apparent diffusion coefficient; eGFR slope; multiparametric MRI; renal allograft chronic dysfunction; renal allograft fibrosis

Mesh:

Year:  2019        PMID: 31874802      PMCID: PMC6983343          DOI: 10.1016/j.kint.2019.09.030

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  17 in total

1.  Functional evaluation of transplanted kidneys with diffusion-weighted and BOLD MR imaging: initial experience.

Authors:  Harriet C Thoeny; Dominik Zumstein; Sonja Simon-Zoula; Ute Eisenberger; Frederik De Keyzer; Lucie Hofmann; Peter Vock; Chris Boesch; Felix J Frey; Peter Vermathen
Journal:  Radiology       Date:  2006-12       Impact factor: 11.105

2.  Diagnosis and assessment of renal fibrosis: the state of the art.

Authors:  Lena Berchtold; Iris Friedli; Jean-Paul Vallée; Solange Moll; Pierre-Yves Martin; Sophie de Seigneux
Journal:  Swiss Med Wkly       Date:  2017-05-11       Impact factor: 2.193

3.  Assessment of renal dysfunction with diffusion-weighted imaging: comparing intra-voxel incoherent motion (IVIM) with a mono-exponential model.

Authors:  Jiule Ding; Jie Chen; Zhenxing Jiang; Hua Zhou; Jia Di; Wei Xing
Journal:  Acta Radiol       Date:  2015-07-19       Impact factor: 1.990

4.  Percutaneous renal biopsy of native kidneys: a single-center experience of 1,055 biopsies.

Authors:  Stephen M Korbet; Kaelin C Volpini; William L Whittier
Journal:  Am J Nephrol       Date:  2014-02-11       Impact factor: 3.754

5.  Early measurement of interstitial fibrosis predicts long-term renal function and graft survival in renal transplantation.

Authors:  M L Nicholson; T A McCulloch; S J Harper; T J Wheatley; C M Edwards; J Feehally; P N Furness
Journal:  Br J Surg       Date:  1996-08       Impact factor: 6.939

Review 6.  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

7.  Blood oxygen level-dependent and perfusion magnetic resonance imaging: detecting differences in oxygen bioavailability and blood flow in transplanted kidneys.

Authors:  Elizabeth A Sadowski; Arjang Djamali; Andrew L Wentland; Rebecca Muehrer; Bryan N Becker; Thomas M Grist; Sean B Fain
Journal:  Magn Reson Imaging       Date:  2009-07-03       Impact factor: 2.546

8.  New Magnetic Resonance Imaging Index for Renal Fibrosis Assessment: A Comparison between Diffusion-Weighted Imaging and T1 Mapping with Histological Validation.

Authors:  I Friedli; L A Crowe; L Berchtold; S Moll; K Hadaya; T de Perrot; C Vesin; P-Y Martin; S de Seigneux; J-P Vallée
Journal:  Sci Rep       Date:  2016-07-21       Impact factor: 4.379

9.  The Banff 2015 Kidney Meeting Report: Current Challenges in Rejection Classification and Prospects for Adopting Molecular Pathology.

Authors:  A Loupy; M Haas; K Solez; L Racusen; D Glotz; D Seron; B J Nankivell; R B Colvin; M Afrouzian; E Akalin; N Alachkar; S Bagnasco; J U Becker; L Cornell; C Drachenberg; D Dragun; H de Kort; I W Gibson; E S Kraus; C Lefaucheur; C Legendre; H Liapis; T Muthukumar; V Nickeleit; B Orandi; W Park; M Rabant; P Randhawa; E F Reed; C Roufosse; S V Seshan; B Sis; H K Singh; C Schinstock; A Tambur; A Zeevi; M Mengel
Journal:  Am J Transplant       Date:  2017-01       Impact factor: 8.086

10.  Visualization of kidney fibrosis in diabetic nephropathy by long diffusion tensor imaging MRI with spin-echo sequence.

Authors:  Jun-Ya Kaimori; Yoshitaka Isaka; Masaki Hatanaka; Satoko Yamamoto; Naotsugu Ichimaru; Akihiko Fujikawa; Hiroshi Shibata; Akira Fujimori; Sosuke Miyoshi; Takashi Yokawa; Kagayaki Kuroda; Toshiki Moriyama; Hiromi Rakugi; Shiro Takahara
Journal:  Sci Rep       Date:  2017-07-18       Impact factor: 4.379

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  6 in total

1.  Evaluation of Renal Fibrosis by Mapping Histology and Magnetic Resonance Imaging.

Authors:  Jiong Zhang; Yuanmeng Yu; Xiaoshuang Liu; Xiong Tang; Feng Xu; Mingchao Zhang; Guotong Xie; Longjiang Zhang; Xiang Li; Zhi-Hong Liu
Journal:  Kidney Dis (Basel)       Date:  2021-02-12

2.  Multiparametric Assessment of Changes in Renal Tissue after Kidney Transplantation with Quantitative MR Relaxometry and Diffusion-Tensor Imaging at 3 T.

Authors:  Lisa C Adams; Keno K Bressem; Sonja Scheibl; Max Nunninger; Andre Gentsch; Ute L Fahlenkamp; Kai-Uwe Eckardt; Bernd Hamm; Marcus R Makowski
Journal:  J Clin Med       Date:  2020-05-21       Impact factor: 4.241

3.  Dynamic 2-deoxy-2[18F] fluoro-D-glucose PET/MRI in human renal allotransplant patients undergoing acute kidney injury.

Authors:  Sahra Pajenda; Sazan Rasul; Marcus Hacker; Ludwig Wagner; Barbara Katharina Geist
Journal:  Sci Rep       Date:  2020-05-19       Impact factor: 4.379

Review 4.  Clinical and experimental approaches for imaging of acute kidney injury.

Authors:  Daisuke Katagiri; Feng Wang; John C Gore; Raymond C Harris; Takamune Takahashi
Journal:  Clin Exp Nephrol       Date:  2021-04-09       Impact factor: 2.801

5.  Multiparametric Renal MRI: An Intrasubject Test-Retest Repeatability Study.

Authors:  Anneloes de Boer; Anita A Harteveld; Bjorn Stemkens; Peter J Blankestijn; Clemens Bos; Suzanne L Franklin; Martijn Froeling; Jaap A Joles; Marianne C Verhaar; Nico van den Berg; Hans Hoogduin; Tim Leiner
Journal:  J Magn Reson Imaging       Date:  2020-04-16       Impact factor: 4.813

6.  Validation of multiparametric MRI by histopathology after nephrectomy: a case study.

Authors:  Anneloes de Boer; Tobias T Pieters; Anita A Harteveld; Peter J Blankestijn; Clemens Bos; Martijn Froeling; Roel Goldschmeding; Hans J M Hoogduin; Jaap A Joles; Bart-Jeroen Petri; Marianne C Verhaar; Tim Leiner; Tri Q Nguyen; Arjan D van Zuilen
Journal:  MAGMA       Date:  2020-09-20       Impact factor: 2.310

  6 in total

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