Consensus‑based technical recommendations for clinical translation of renal Dynamic Contrast-Enhanced (DCE) MRI: Supplementary material

Summary

This repository contains supplementary material for the manuscript, 'Consensus‑based technical recommendations for clinical translation of renal Dynamic Contrast-Enhanced (DCE) MRI' (see manuscript for full details).

An international panel of experts was recruited and surveyed following a modified Delphi method to create consensus-based technical recommendations. Key areas for consensus were initially identified through a mixture of online and in-person discussions, and an initial survey round consisting of open- and close- ended questions. Consensus statements were formulated and iteratively refined to create the final recommendations.

Delphi consensus criteria

Consensus: ≥ 75% agreement (excluding abstentions)

Clear preference: [60-74]% agreement

Exclusion/modification: Statements with ≥40% abstentions were either excluded from subsequent survey rounds or reformulated and recirculated

File descriptions

'Iterative survey rounds.zip': Responses (in .csv format) to the Delphi survey rounds circulated electronically to the panel via Google Forms

'Supplementary Table 1. Finalised consensus statements.docx': The 37 consensus statements which reached the pre-defined consensus threshold and were included in the final set of recommendations

'Supplementary Table 2. Statements not reaching consensus.docx': The nine statements which did not reach the pre-defined consensus threshold and were completely excluded (i.e., not reformulated) from the final set of recommendations

Acknowledgements

This manuscript is based upon work from the COST Action CA16103 Magnetic Resonance Imaging Biomarkers for Chronic Kidney Disease (PARENCHIMA), funded by COST (European Cooperation in Science and Technology). For additional information, please visit www.renalmri.org.

IAM is supported by the National Institute for Health and Care Research (NIHR) Cambridge Biomedical Research Centre (NIHR203312*). The views expressed are those of the author and not necessarily those of the NIHR or the Department of Health and Social Care.

FGZ was supported by the German Federal Ministry of Education and Research (BMBF) under the funding code 01KU2102 and 01KU2504, under the frame of ERA PerMed.

IAD was supported by the Dutch Science Foundation (ZonMW, IAD Veni:09150162210040).