More than 10% of the world’s population have chronic kidney disease (CKD), and its prevalence is increasing. CKD represents a global health burden with high economic cost. CKD patients exhibit progressive disease, demonstrating a failure of current therapies, and an alarming number of clinical trials have failed. Better methods are urgently needed for earlier diagnosis and improved patient stratification, targeted treatment and monitoring. Renal multiparametric Magnetic Resonance Imaging (MRI) has emerged as a promising non-invasive technique for characterisation of renal physiology and pathophysiology.
However current methodological differences across studies hinder reliable comparisons. Widely accepted normative values are not available, and additional evidence for clinical validity and utility of renal MRI is required. RESPECT addresses these unmet needs with a multinational, multidisciplinary and intersectoral project that will set up a scalable standardised renal MRI infrastructure allowing multicentre clinical research.
The RESPECT project is supported by the Italian Ministry of Health (Italy), Innovation Fond Denmark (Denmark), German Federal Ministry of Education and Research (Germany), Gobierno de Navarra (Spain), and Executive Agency for Higher Education, Research, Development and Innovation Funding (Romania), under the frame of ERA PerMed.
To develop a standardised physiologically relevant multi-parametric renal MRI protocol for personalised CKD management.
To set up an open-access cloud-based platform for renal MRI data sharing, quality control and processing.
To provide preliminary cross-institutional evidence of renal MRI feasibility and utility in characterising and staging CKD.
To harmonise across MRI vendors and technically validate the standardised renal MRI protocol, sonalised CKD management.
To develop novel artificial intelligence (AI) techniques to automate renal MRI processing.
To develop MRI data sharing guidelines ensuring ethics and confidentiality, and assess patient, health care and ethic professionals’ perspective on data sharing and the use of AI in image data processing.
Title: PhD
Institution: Istituto di Ricerche Farmacologiche Mario Negri IRCCS (IRFMN)
Via Camozzi 3. Postal Code 24020
Ranica (BG) Italy
+39 035 4535381
anna.caroli@marionegri.it
Title: Head of Department, Associate Professor
Institution: Aarhus University (AU)
Palle Juul Jensens Boulevard 99. Postal Code 8200
Aarhus N. Denmark
+45 87456139
cl@clin.au.dk
Title: Prof. DR
Institution: Heidelberg University (UHEI)
Theodor-Kutzer-Ufer 1-3. Postal Code 68167
Mannheim, Germany
Phone +49 621 383 5117
frank.zoellner@medma.uni-heidelberg.de
Title: Dr
Institution: Institution Clínica Universidad de Navarra (UNAV)
Pio XII, 36. Postal Code 31008
Pamplona. Spain
+34 948 255400
mfseara@unav.es
Title: Professor
Institution: University of Nottingham, UK (UoN)
University Park, University of Nottingham Postal Code NG2 5GW Nottingham UK
+44(0)115 8466518
susan.francis@nottingham.ac.uk
Title: PhD
Institution: Siemens SRL
B-dul Eroilor 3A. Postal Code 500007
Brasov. Romania
+40 (268) 400-225
constantin.suciu@siemens.com
Lead: AU
Participating: UNAV, IRFMN, UoN
T2.1: Establishment of multiparametric protocol
T2.2: Protocol validation
T2.3: Technical validation in HVs and CKD patients
Deliverables:
D2.1: Harmonised multiparametric renal MRI protocol (M6, AU).
D2.2: MRI acquisition SOPs (M9, AU).
D2.3: Report on phantom validation study results (M12, AU).
D2.4: Report on repeatability and reproducibility results in HVs (M30, UNAV).
D2.5: Report on repeatability and reproducibility results in CKD patients (M30, UNAV).
Lead: AU
Participating: UNAV, IRFMN, UoN
T2.1: Establishment of multiparametric protocol
T2.2: Protocol validation
T2.3: Technical validation in HVs and CKD patients
Deliverables:
D2.1: Harmonised multiparametric renal MRI protocol (M6, AU).
D2.2: MRI acquisition SOPs (M9, AU).
D2.3: Report on phantom validation study results (M12, AU).
D2.4: Report on repeatability and reproducibility results in HVs (M30, UNAV).
D2.5: Report on repeatability and reproducibility results in CKD patients (M30, UNAV).
Lead: AU
Participating: UNAV, IRFMN, UoN
T2.1: Establishment of multiparametric protocol
T2.2: Protocol validation
T2.3: Technical validation in HVs and CKD patients
Deliverables:
D2.1: Harmonised multiparametric renal MRI protocol (M6, AU).
D2.2: MRI acquisition SOPs (M9, AU).
D2.3: Report on phantom validation study results (M12, AU).
D2.4: Report on repeatability and reproducibility results in HVs (M30, UNAV).
D2.5: Report on repeatability and reproducibility results in CKD patients (M30, UNAV).
Lead: AU
Participating: UNAV, IRFMN, UoN
T2.1: Establishment of multiparametric protocol
T2.2: Protocol validation
T2.3: Technical validation in HVs and CKD patients
Deliverables:
D2.1: Harmonised multiparametric renal MRI protocol (M6, AU).
D2.2: MRI acquisition SOPs (M9, AU).
D2.3: Report on phantom validation study results (M12, AU).
D2.4: Report on repeatability and reproducibility results in HVs (M30, UNAV).
D2.5: Report on repeatability and reproducibility results in CKD patients (M30, UNAV).
Lead: AU
Participating: UNAV, IRFMN, UoN
T2.1: Establishment of multiparametric protocol
T2.2: Protocol validation
T2.3: Technical validation in HVs and CKD patients
Deliverables:
D2.1: Harmonised multiparametric renal MRI protocol (M6, AU).
D2.2: MRI acquisition SOPs (M9, AU).
D2.3: Report on phantom validation study results (M12, AU).
D2.4: Report on repeatability and reproducibility results in HVs (M30, UNAV).
D2.5: Report on repeatability and reproducibility results in CKD patients (M30, UNAV).
Lead: AU
Participating: UNAV, IRFMN, UoN
T2.1: Establishment of multiparametric protocol
T2.2: Protocol validation
T2.3: Technical validation in HVs and CKD patients
Deliverables:
D2.1: Harmonised multiparametric renal MRI protocol (M6, AU).
D2.2: MRI acquisition SOPs (M9, AU).
D2.3: Report on phantom validation study results (M12, AU).
D2.4: Report on repeatability and reproducibility results in HVs (M30, UNAV).
D2.5: Report on repeatability and reproducibility results in CKD patients (M30, UNAV).
| M.1 Renal MRI protocol harmonised across vendors | D2.1 |
| M.2 Central database infrastructure in place | D3.3 |
| M.3 Phantom validation study completed | D2.3 |
| M.4 QC module developed | D3.5 |
| M.5 Project website launched | D6.2 |
| M.6 Renal MRI processing module developed | D3.7 |
| M.7 Clinical study protocol approved and 1st patient enrolled | D4.1 |
| M.8 Consensus process initiated – 1st round survey completed | D5.1 |
| M.9 Patient survey completed at RESPECT sites | D5.2 |
| M.10 Technical validation in HVs completed | D2.4 |
| M.11 Exploratory clinical study enrolment completed | D4.3 |
| M.12 Patient survey completed at PARENCHIMA network sites | D5.2 |
| M.13 MRI data processing complete | D2.4 |
| M.14 AI-based MRI processing module | D3.8 |
| M.15 MRI data sharing guidelines published | D5.3 |
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