B06 - Imaging structure/function relations in HFpEF – from pathomechanisms to artificial intelligence-based classification
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Project summary
Cardiovascular MRI (CMR) is the gold standard for quantitative assessment of anatomy, function, and hemodynamics, as well as myocardial tissue changes such as fibrosis, inflammatory response, and fatty infiltration. B06 investigates the hypothesis that innovative CMR imaging combined with artificial intelligence will enable improved differentiation of prevalent HFpEF pathologies. To this end, a CMR-based Heart Failure Remodeling Index (CMR-HRI) will be developed and pathomechanisms of HFpEF phenotypes will be analyzed.
Graphical Abstract: To improve patient stratification we will use a multimodal imaging approach to reflect cardiac function, structure, and systems level input (exercise, extracardiac triggers). Using AI feature extraction, we derive a Heart failure remodeling index to facilitate the integration with clinical data from Z02 (Pieske, Edelmann, Rauch, Tschöpe) and molecular data from B05 (Pieske, Mertins) in Z03 (Eils, Kuehne). On the mechanistic level, we investigate the crosstalk of HFpEF and exercise at the level of tissue hypoxia and microvascular dysfunction.
Project leader B06
CVK: Campus Virchow-Klinikum
Project leader B06
CVK: Campus Virchow-Klinikum
Publications
Doeblin P, Steinbeis F, Scannell CM, Goetze C, Al-Tabatabaee S, Erley J, Faragli A, Pröpper F, Witzenrath M, Zoller T, Stehning C, Gerhardt H, Sánchez-González J, Alskaf E, Kühne T, Pieske B, Tschöpe C, Chiribiri A, Kelle S. Brief Research Report: Quantitative Analysis of Potential Coronary Microvascular Disease in Suspected Long-COVID Syndrome. Front Cardiovasc Med. 2022 May 31;9:877416. doi: 10.3389/fcvm.2022.877416. PMID: 35711381; PMCID: PMC9197432.
Bingel A, Messroghli D, Weimar A, Runte K, Salcher-Konrad M, Kelle S, Pieske B, Berger F, Kuehne T, Goubergrits L, Fuerstenau D, Kelm M. Hemodynamic Changes During Physiological and Pharmacological Stress Testing in Patients With Heart Failure: A Systematic Review and Meta-Analysis. Front Cardiovasc Med. 2022 Apr 19;9:718114. doi: 10.3389/fcvm.2022.718114. PMID: 35514442; PMCID: PMC9062977.
Minhas AS, Goerlich E, Corretti MC, Arbab-Zadeh A, Kelle S, Leucker T, Lerman A, Hays AG. Imaging Assessment of Endothelial Function: An Index of Cardiovascular Health. Front Cardiovasc Med. 2022 Apr 15;9:778762. doi: 10.3389/fcvm.2022.778762. PMID: 35498006; PMCID: PMC9051238.
Chen W, Doeblin P, Al-Tabatabaee S, Klingel K, Tanacli R, Jakob Weiß K, Stehning C, Patel AR, Pieske B, Zou J, Kelle S. Synthetic Extracellular Volume in Cardiac Magnetic Resonance Without Blood Sampling: a Reliable Tool to Replace Conventional Extracellular Volume. Circ Cardiovasc Imaging. 2022 Apr;15(4):e013745. doi: 10.1161/CIRCIMAGING.121.013745. Epub 2022 Apr 1. PMID: 35360924; PMCID: PMC9015035.
Huellebrand M, Ivantsits M, Tautz L, Kelle S, Hennemuth A. A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification. Front Cardiovasc Med. 2022 Mar 10;9:829512. doi: 10.3389/fcvm.2022.829512. PMID: 35360025; PMCID: PMC8960112.
