Reference Framework for Implementation of Cardiovascular Imaging in Clinical Trials. A Scientific Statement of the European Association of Cardiovascular Imaging (EACVI) of the ESC

Cardiovascular imaging is integral to modern clinical trials of new pharmaceuticals or devices, enabling refined eligibility, mechanistic insight, and sensitive assessment of treatment response and safety. Potential heterogeneity in data acquisition, analysis, and reporting may affect reproducibility and interpretability across multicentre settings. Rigorous standardization and fit-for-purpose validation of imaging endpoints can improve statistical efficiency, reduce trial duration and cost, and strengthen generated evidence. This Scientific Statement outlines a reference framework for the implementation of cardiovascular imaging in clinical trials. We provide considerations on use of imaging parameters as eligibility criteria in clinical trials, for efficacy signals evaluation, and for assessment of safety. We define principles for clinical, analytical, and operational validation of imaging endpoints, and discuss concepts of minimal clinically important change and minimal detectable change. Additionally, we discuss feasibility considerations for use of cardiovascular imaging endpoints in multicentre clinical trials where differences in equipment and local experience may exist. We delineate standards for harmonization, centralized analysis, and quality control in clinical trials, as well as challenges and opportunities of the integration of artificial intelligence within core-lab workflows. Lastly, we identify gaps in knowledge, challenge of preclinical-clinical translatability and highlight training needs and innovation priorities.

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Publication Details

Journal
European Heart Journal - Cardiovascular Imaging
Published
2026-07-01
DOI
https://doi.org/10.1093/ehjci/jeag171
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Reference Framework for Implementation of Cardiovascular Imaging in Clinical Trials. A Scientific Statement of the European Association of Cardiovascular Imaging (EACVI) of the ESC

Arti A. Ramkisoensing, Jaume Agüero, Victoria Delgado, Elena Surkova et al.
European Heart Journal - Cardiovascular Imaging
Cardiac Imaging and Diagnostics
article

Reference Framework for Implementation of Cardiovascular Imaging in Clinical Trials. A Scientific Statement of the European Association of Cardiovascular Imaging (EACVI) of the ESC

Arti A. Ramkisoensing, Jaume Agüero, Victoria Delgado, Elena Surkova, Maribel González‐Del‐Hoyo, Marianna Fontana, Riccardo Maria Inciardi, Philippe B. Bertrand, Nina Ajmone Marsan, Michael T. Lu, Maja Čikeš, Marc R. Dweck, Andreas A. Giannopoulos, Andrea Baggiano, Anna Baritussio, Alessia Gimelli
article en

Abstract

Cardiovascular imaging is integral to modern clinical trials of new pharmaceuticals or devices, enabling refined eligibility, mechanistic insight, and sensitive assessment of treatment response and safety. Potential heterogeneity in data acquisition, analysis, and reporting may affect reproducibility and interpretability across multicentre settings. Rigorous standardization and fit-for-purpose validation of imaging endpoints can improve statistical efficiency, reduce trial duration and cost, and strengthen generated evidence. This Scientific Statement outlines a reference framework for the implementation of cardiovascular imaging in clinical trials. We provide considerations on use of imaging parameters as eligibility criteria in clinical trials, for efficacy signals evaluation, and for assessment of safety. We define principles for clinical, analytical, and operational validation of imaging endpoints, and discuss concepts of minimal clinically important change and minimal detectable change. Additionally, we discuss feasibility considerations for use of cardiovascular imaging endpoints in multicentre clinical trials where differences in equipment and local experience may exist. We delineate standards for harmonization, centralized analysis, and quality control in clinical trials, as well as challenges and opportunities of the integration of artificial intelligence within core-lab workflows. Lastly, we identify gaps in knowledge, challenge of preclinical-clinical translatability and highlight training needs and innovation priorities.

European Heart Journal - Cardiovascular Imaging
University of Padua (IT), University Hospital Centre Zagreb (HR), University of Zurich (CH), Leiden University Medical Center (NL), Royal Brompton & Harefield NHS Foundation Trust (GB), Instituto de Salud Carlos III (ES), Harefield Hospital (GB), Massachusetts General Hospital (US), Centro Cardiologico Monzino (IT), AstraZeneca (South Korea) (KR), University Hospital of Zurich (CH), Lung Institute (US), Surgical Specialties (Canada) (CA), AstraZeneca (Australia) (AU), Amyloidosis Foundation (US), Centro de Investigación Biomédica en Red (ES), AstraZeneca (Poland) (PL), Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (ES), Ziekenhuis Oost-Limburg (BE), Fondazione Toscana Gabriele Monasterio (IT), University College London (GB), Imperial College London (GB), University of Brescia (IT), University of Edinburgh (GB)
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Openalex Percentile: Top 7%
Cardiac Imaging and Diagnostics
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