Literature DB >> 28754558

Magnetic resonance T2 mapping and diffusion-weighted imaging for early detection of cystogenesis and response to therapy in a mouse model of polycystic kidney disease.

Mareike Franke1, Bettina Baeßler2, Jan Vechtel2, Claudia Dafinger3, Martin Höhne4, Lori Borgal5, Heike Göbel6, Friederike Koerber2, David Maintz2, Thomas Benzing7, Bernhard Schermer7, Thorsten Persigehl8.   

Abstract

Polycystic kidney disease (PKD) is among the leading causes of end-stage renal disease. Increasing evidence exists that molecular therapeutic strategies targeted to cyst formation and growth might be more efficacious in early disease stages, highlighting the growing need for sensitive biomarkers. Here we apply quantitative magnetic resonance imaging techniques of T2 mapping and diffusion-weighted imaging in the jck mouse model for PKD using a clinical 3.0 T scanner. We tested whether kidney T2 values and the apparent diffusion coefficient (ADC) are superior to anatomical imaging parameters in the detection of early cystogenesis, as shown on macro- and histopathology. We also tested whether kidney T2 values and ADC have the potential to monitor early treatment effects of therapy with the V2 receptor antagonist Mozavaptane. Kidney T2 values and to a lesser degree ADC were found to be highly sensitive markers of early cystogenesis and superior to anatomical-based imaging parameters. Furthermore, kidney T2 values exhibited a nearly perfect correlation to the histological cystic index, allowing a clear separation of the two mouse genotypes. Additionally, kidney T2 values and ADC were able to monitor early treatment effects in the jck mouse model in a proof-of-principle experiment. Thus, given the superiority of kidney T2 values and ADC over anatomical-based imaging in mice, further studies are needed to evaluate the translational impact of these techniques in patients with PKD.
Copyright © 2017 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  T2 mapping; diffusion-weighted imaging; jck mouse model; magnetic resonance imaging; polycystic kidney disease

Mesh:

Substances:

Year:  2017        PMID: 28754558     DOI: 10.1016/j.kint.2017.05.024

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


  8 in total

1.  Quantitative magnetic resonance imaging assessments of autosomal recessive polycystic kidney disease progression and response to therapy in an animal model.

Authors:  Bernadette O Erokwu; Christian E Anderson; Chris A Flask; Katherine M Dell
Journal:  Pediatr Res       Date:  2018-05-02       Impact factor: 3.756

Review 2.  Clinical application and technical considerations of T1 & T2(*) mapping in cardiac, liver, and renal imaging.

Authors:  Ilona A Dekkers; Hildo J Lamb
Journal:  Br J Radiol       Date:  2018-07-23       Impact factor: 3.039

3.  Automated total kidney volume measurements in pre-clinical magnetic resonance imaging for resourcing imaging data, annotations, and source code.

Authors:  Marie E Edwards; Sigapriya Periyanan; Deema Anaam; Adriana V Gregory; Timothy L Kline
Journal:  Kidney Int       Date:  2020-08-20       Impact factor: 10.612

4.  Texture analysis based on quantitative magnetic resonance imaging to assess kidney function: a preliminary study.

Authors:  Gumuyang Zhang; Yan Liu; Hao Sun; Lili Xu; Jianqing Sun; Jing An; Hailong Zhou; Yanhan Liu; Limeng Chen; Zhengyu Jin
Journal:  Quant Imaging Med Surg       Date:  2021-04

5.  Magnetic resonance imaging T1- and T2-mapping to assess renal structure and function: a systematic review and statement paper.

Authors:  Marcos Wolf; Anneloes de Boer; Kanishka Sharma; Peter Boor; Tim Leiner; Gere Sunder-Plassmann; Ewald Moser; Anna Caroli; Neil Peter Jerome
Journal:  Nephrol Dial Transplant       Date:  2018-09-01       Impact factor: 5.992

6.  Use of quantitative T2 mapping for the assessment of renal cell carcinomas: first results.

Authors:  Lisa C Adams; Keno K Bressem; Phillipp Jurmeister; Ute L Fahlenkamp; Bernhard Ralla; Guenther Engel; Bernd Hamm; Jonas Busch; Marcus R Makowski
Journal:  Cancer Imaging       Date:  2019-06-07       Impact factor: 3.909

7.  Diffusion-weighted Renal MRI at 9.4 Tesla Using RARE to Improve Anatomical Integrity.

Authors:  Joāo Dos Santos Periquito; Katharina Paul; Till Huelnhagen; Min-Chi Ku; Yiyi Ji; Kathleen Cantow; Thomas Gladytz; Dirk Grosenick; Bert Flemming; Erdmann Seeliger; Sonia Waiczies; Thoralf Niendorf; Andreas Pohlmann
Journal:  Sci Rep       Date:  2019-12-23       Impact factor: 4.379

8.  Consensus-based technical recommendations for clinical translation of renal T1 and T2 mapping MRI.

Authors:  Ilona A Dekkers; Anneloes de Boer; Kaniska Sharma; Eleanor F Cox; Hildo J Lamb; David L Buckley; Octavia Bane; David M Morris; Pottumarthi V Prasad; Scott I K Semple; Keith A Gillis; Paul Hockings; Charlotte Buchanan; Marcos Wolf; Christoffer Laustsen; Tim Leiner; Bryan Haddock; Johannes M Hoogduin; Pim Pullens; Steven Sourbron; Susan Francis
Journal:  MAGMA       Date:  2019-11-22       Impact factor: 2.310

  8 in total

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