ESR Research Seed Grants 2020

The European Society of Radiology (ESR), in cooperation with the European Institute for Biomedical Imaging Research (EIBIR), invited applications for the ESR Research Seed Grants 2020 to stimulate and provide funding for innovative projects and pilot studies that will subsequently lead to larger studies and further funding applications.

Overall, we’ve received 44 applications from 11 European counties across the two thematic areas for 2020: Artificial Intelligence (29 applications) and Cardiac Imaging (15 applications).

We’d like to thank all applicants for their innovative submissions.

After an extensive review by a panel of 25 international experts, the following proposals were selected for funding.

Artificial Intelligence

  • Integration of a Retina U-Net algorithm for the automated detection of primary lung cancer in clinical workflows

Expected Impact: The goal of this project is to build an interactive PET/CT reading tool with deep-learning-driven lesion detection. This will improve the rates of detected malignant lesions and supports structured, complete reporting.

Thomas Weikert
Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel/CH

  • CT-based radiomics analysis in patients with intraductal papillary mucinous neoplasm (IPMN) of the pancreas

Expected Impact: CT-based radiomics parameters will improve surgical decision-making by providing a more accurate and certainly more reproductible pre-operative diagnosis on non-invasive intraductal papillary mucinous neoplasm of the pancreas.

David Tobaly
Department of Radiology, Hôpital Beaujon, Clichy/FR

  • RISK – Risk Maps using T2 mapping and Diffusion MR Sequences of the Prostate

Expected Impact: This projects aims to develop prostate risk maps using T2 maps together with other MR sequences using a large cohort, which will impact biopsy localisation and medical decision.

Liliana Caldeira
Department of Radiology, University Hospital Cologne, Cologne/DE

  • AI-driven MR-based imaging of tumor hypoxia

Expected Impact: Non-invasive assessment of tumor hypoxia using MRI and deep learning will open the gates for improving patient selection for various liver-directed therapies and prompt treatment modification by more aggressive tumor targeting or by use of hypoxia-modifying drugs.

Ieva Kurilova
Department of Radiology, Netherlands Cancer Institute – Antoni van Leeuwenhoek, Amsterdam/NL

Cardiac Imaging

  • MRI-assessed myocardial deformation of the systemic right ventricle in patients with transposition of the great arteries

Expected Impact: This study will show whether strain analysis can detect systemic right ventricular dysfunction in an earlier phase than conventional MRI techniques in patients with transposition of the great arteries.

Maja Hrabak Paar
Department of Diagnostic and Interventional Radiology, University Hospital Center Zagreb, Zagreb/HR

  • Spatio-temporal cardiac motion patterns in the non-invasive diagnosis of myocarditis.

Expected Impact: Besides the pioneer work in exploiting spatio-temporal cardiac motion information, this project will identify additional clues for non-invasive diagnosis of myocarditis using cardiac magnetic resonance imaging.

Fabian Laqua
Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald/DE

  • Optimization and validation of highly accelerated compressed sensing whole-heart 4D-Flow imaging

Expected Impact: The project aims to optimize and validate compressed sensing-accelerated whole-heart 4D-Flow imaging, to enable simultaneous assessment of cardiac function and flow in a single measurement in clinical reasonable scan times.

Clemens Reiter
Department of Radiology, Medical University Graz, Graz/AT

  • Reliability of cardiothoracic ratio as an estimate of cardiac enlargement compared to gold standard MRI parameters

Expected Impact: The project will assess the correlation between the century-old, still widely used marker of cardiomegaly, cardiothoracic ratio (CTR) on chest radiograph and the current gold standard technique for cardiac size and function quantification, cardiovascular MRI. The outcome may change the paradigm of using CTR to define cardiomegaly.

Monika Arzanauskaite
Department of Radiology, Liverpool Heart and Chest Hospital, Liverpool/UK