Health AI Central
Share:
Peer-Reviewed Publication
Rev Cardiovasc Med2026;27(1):41521.January 1, 2026Journal Article

Reference Values for Myocardial Strain by Cardiac Magnetic Resonance Feature Tracking: Insights From Healthy Volunteers and Heart Failure Patients Using Caas MR.

Karl Jakob Weiss1,2,3, Shing Ching1,2,4, Patrick Doeblin1,2,3, Irene Carrión-Sánchez1,5, Karina Carrizosa1, Radu Tanacli1,2, Stefanie Werhahn1,2, Jana Veit1,2, Rebecca Elisabeth Beyer1,2,3, Nicole Mittmann1,2,3, Christian Stehning6, Gaston Vogel7, Hans-Dirk Düngen1,2,3, Moritz Blum2, Djawid Hashemi1,2,3,8, Sebastian Kelle1,2,3
1Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, 13353 Berlin, Germany.
2Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany.
3DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany.
4Division of Cardiology, Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China.
5Division of Cardiovascular Imaging, Department of Cardiology, University Hospital Ramón y Cajal, 28034 Madrid, Spain.
6Philips Clinical Science, Philips Healthcare, 22335 Hamburg, Germany.
7Pie Medical Imaging BV, Product Management, 6227 AK Maastricht, The Netherlands.
8BIH Biomedical Innovation Academy, BIH, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117 Berlin, Germany.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Magnetic resonance imaging (MRI) allows for the assessment of myocardial strain and identification of heart failure (HF) patients with reduced (HFrEF), mildly reduced (HFmrEF), or preserved (HFpEF) left ventricular ejection fraction (LVEF). The cardiovascular angiographic analysis system magnetic resonance (Caas MR) strain (Pie Medical Imaging) has recently been implemented in the Inte…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.