ArticleClinical research in cardiology : official journal of the German Cardiac Society2014
Classification of diastolic function with phase-contrast cardiac magnetic resonance imaging: validation with echocardiography and age-related reference values.
Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 44 citations in OpenAlex.
- Effect of Liraglutide on Cardiovascular Function and Myocardial Tissue Characteristics in Type 2 Diabetes Patients of South Asian Descent Living in the Netherlands: A Double-Blind, Randomized, Placebo-Controlled Trial.Journal of magnetic resonance imaging : JMRI · 2020Trial
- Low level exercise echocardiography helps diagnose early stage heart failure with preserved ejection fraction: a study of echocardiography versus catheterization.Clinical research in cardiology : official journal of the German Cardiac Society · 2017Trial
- Assessing diastolic function using CMR as an alternative to echocardiography: age- and gender-related normal reference values.Clinical research in cardiology : official journal of the German Cardiac Society · 2025Article
- 4D flow MRI-based grading of left ventricular diastolic dysfunction: a validation study against echocardiography.European radiology · 2025Article
- Unmasking Left Ventricular Diastolic Dysfunction: Pathophysiology, Diagnosis, and Treatment Strategies.Medical sciences (Basel, Switzerland) · 2025Review
- Cardiac Magnetic Resonance Imaging in Heart Failure With Preserved Ejection Fraction.Circulation. Cardiovascular imaging · 2025Review
- Cardiac MRI in heart failure with preserved ejection fraction.La Radiologia medica · 2024Review
- Imaging Advances in Heart Failure.Cardiac failure review · 2024Review
- Assessment of Microvascular Disease in Heart and Brain by MRI: Application in Heart Failure with Preserved Ejection Fraction and Cerebral Small Vessel Disease.Medicina (Kaunas, Lithuania) · 2023Review
- The Role of Cardiac Fibrosis in Diabetic Cardiomyopathy: From Pathophysiology to Clinical Diagnostic Tools.International journal of molecular sciences · 2023Review
- Automated 4D flow cardiac MRI pipeline to derive peak mitral inflow diastolic velocities using short-axis cine stack: two centre validation study against echocardiographic pulse-wave doppler.BMC cardiovascular disorders · 2023Article
- Advances in Multimodality Cardiovascular Imaging in the Diagnosis of Heart Failure With Preserved Ejection Fraction.Frontiers in cardiovascular medicine · 2022Review
- The role of cardiac magnetic resonance imaging in the assessment of heart failure with preserved ejection fraction.Frontiers in cardiovascular medicine · 2022Review
- Diastolic Cardiac Function by MRI-Imaging Capabilities and Clinical Applications.Tomography (Ann Arbor, Mich.) · 2021Review
- Left Ventricular Diastolic Function Studied with Magnetic Resonance Imaging: A Systematic Review of Techniques and Relation to Established Measures of Diastolic Function.Diagnostics (Basel, Switzerland) · 2021Review
- Right ventricular diastolic function in aging: a head-to-head comparison between phase-contrast MRI and Doppler echocardiography.The international journal of cardiovascular imaging · 2021Article
- EXPRESS: Statement on imaging and pulmonary hypertension from the Pulmonary Vascular Research Institute (PVRI).Pulmonary circulation · 2019Article
- Mitral annular velocity measurement with cardiac magnetic resonance imaging using a novel annular tracking algorithm: Validation against echocardiography.Magnetic resonance imaging · 2019Article
- Direct comparison of high-temporal-resolution CINE MRI with Doppler ultrasound for assessment of diastolic dysfunction in mice.NMR in biomedicine · 2017Article
- Age- and gender-related normal left ventricular deformation assessed by cardiovascular magnetic resonance feature tracking.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2015Article
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo investigate whether cardiac magnetic resonance phase-contrast imaging (PC-CMR) can determine left ventricular (LV) diastolic function in comparison to echocardiography (EC).
backgroundNon-invasive evaluation of diastolic function is important for the diagnostic classification and risk stratification of patients with cardiomyopathies. With EC, diastolic function is classified based on the mitral blood flow, LV myocardial tissue Doppler velocities and pulmonary venous flow. PC-CMR has the potential to measure these parameters and may be an important tool to assess diastolic function in clinical routine.
methodsIn 36 patients with various cardiovascular diseases and 6 healthy volunteers, we performed single-slice short-axis PC-CMR at the level of the mitral leaflet tip and the inflow of the pulmonary veins to generate EC-comparable mitral E and A waves, septal and lateral e' and a' tissue velocities, and E/A and E/e' ratios. EC was performed after PC-CMR in all patients and six volunteers. Patients were classified into three groups of DD for both techniques. In addition, we evaluated 120 healthy volunteers as controls (3 age groups: 1 = 20-35 years; 2 = 36-50 years; 3 ≥ 51 years) for reference values.
resultsPC-CMR correlation with EC regarding the relation of mitral E and A velocities was good (r = 0.83, p < 0.001). The correlation for the mean septal and lateral E/e' ratio was high with r = 0.90 (p < 0.001). 40/42 subjects (95 %) were categorized correctly. The mean scan time for PC-CMR was 189 ± 16 s and mean analysis time was 348 ± 95 s. EC image acquisition time was slightly higher (201 ± 37 s, p = n.s.), whereas EC image analysis time was significantly lower (149 ± 23 s, p < 0.001).
conclusionThe classification of DD with PC-CMR is feasible and shows good agreement with the widely accepted EC classification of DD. We present a practical approach for the clinically important assessment of DD with PC-CMR, circumventing sophisticated and time-consuming CMR sequences and specially designed software analysis tools.
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