Journal article

Consensus-based technical recommendations for clinical translation of renal diffusion-weighted MRI

Alexandra Ljimani, Anna Caroli, Christoffer Laustsen, Susan Francis, Iosif Alexandru Mendichovszky, Octavia Bane, Fabio Nery, Kanishka Sharma, Andreas Pohlmann, Ilona A Dekkers, Jean-Paul Vallee, Katja Derlin, Mike Notohamiprodjo, Ruth P Lim, Stefano Palmucci, Suraj D Serai, Joao Periquito, Zhen Jane Wang, Martijn Froeling, Harriet C Thoeny Show all

Magnetic Resonance Materials in Physics, Biology and Medicine | SPRINGER | Published : 2019


OBJECTIVES: Standardization is an important milestone in the validation of DWI-based parameters as imaging biomarkers for renal disease. Here, we propose technical recommendations on three variants of renal DWI, monoexponential DWI, IVIM and DTI, as well as associated MRI biomarkers (ADC, D, D*, f, FA and MD) to aid ongoing international efforts on methodological harmonization. MATERIALS AND METHODS: Reported DWI biomarkers from 194 prior renal DWI studies were extracted and Pearson correlations between diffusion biomarkers and protocol parameters were computed. Based on the literature review, surveys were designed for the consensus building. Survey data were collected via Delphi consensus p..

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University of Melbourne Researchers


Awarded by COST (European Cooperation in Science and Technology)

Awarded by Medical Research Council

Awarded by NIH NIDDK individual fellowship

Awarded by Biomarker Enterprise to Attack Diabetic Kidney Disease project- Innovative Medicines Initiative 2 Joint Undertaking

Awarded by Swiss National Science foundation

Awarded by German Ministry for Education and Research (BMBF)

Funding Acknowledgements

The article is based upon work from COST Action Magnetic Resonance Imaging Biomarkers for Chronic Kidney Disease (PARENCHIMA, COST Action CA16103,, funded by COST (European Cooperation in Science and Technology), additional information please visit PARENCHIMA project website: funding from the Medical Research Council (Grant No. MR/R02264X/1). BO Grant support (2016-2018) from NIH NIDDK individual fellowship 1F32DK109591. SK was supported by the Biomarker Enterprise to Attack Diabetic Kidney Disease project funded by the Innovative Medicines Initiative 2 Joint Undertaking under Grant agreement 115974. This joint undertaking received support from the European Union's Horizon 2020 Research and Innovation programme and European Federation of Pharmaceutical Industries and Associations. PA receives funding from the German Research Council (DFGY; Collaborative Research Centre SFB 1365 Renoprotection). J-PV and THC are supported by the Swiss National Science foundation Nb: IZCOZ0_177140/1. DK, NM, SEE research collaboration with Siemens. LRP Grant funding from Boehringer-Ingelheim. PJ receives funding from the German Ministry for Education and Research (BMBF; Grant VIP 03P00081). NT is supported by Germany Research Foundation, Collaborative Research Center 1365.