ArticleJRSM cardiovascular disease
Aortic and mitral flow quantification using dynamic valve tracking and machine learning: Prospective study assessing static and dynamic plane repeatability, variability and agreement.
Article in JRSM cardiovascular disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Mitral valve regurgitation assessed by intraventricular CMR 4D-flow: a systematic review on the technological aspects and potential clinical applications.The international journal of cardiovascular imaging · 2023Pooled it
- 4D Flow MRI Characterization of Left Atrial Vortical Flow in Atrial Fibrillation Following Catheter Ablation.Journal of imaging · 2026Article
- Measuring atrioventricular valve regurgitation in Fontan patients using cardiovascular magnetic resonance imaging and the association with clinical outcomes: A FORCE Study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026Article
- Determinants of Impaired Left Atrial Hemodynamics in Paroxysmal Atrial Fibrillation: A 4D Flow MRI Study.Journal of imaging · 2026Article
- The Emerging Role of Artificial Intelligence in the Assessment of Valvular Heart Disease with Cardiac Imaging.Current cardiology reports · 2026Review
- Artificial Intelligence in the Screening, Diagnosis, and Management of Aortic Stenosis.Reviews in cardiovascular medicine · 2024Review
- Feasibility of Wave Intensity Analysis from 4D Cardiovascular Magnetic Resonance Imaging Data.Bioengineering (Basel, Switzerland) · 2023Article
- Intra-cardiac pressure drop and flow distribution of bicuspid aortic valve disease in preserved ejection fraction.Frontiers in cardiovascular medicine · 2022Article
- Advances in machine learning applications for cardiovascular 4D flow MRI.Frontiers in cardiovascular medicine · 2022Review
- Hemodynamic Assessment in Bicuspid Aortic Valve Disease and Aortic Dilation: New Insights From Voxel-By-Voxel Analysis of Reverse Flow, Stasis, and Energetics.Frontiers in bioengineering and biotechnology · 2021Article
- Left Ventricular Flow Distribution as a Novel Flow Biomarker in Atrial Fibrillation.Frontiers in bioengineering and biotechnology · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBlood flow is a crucial measurement in the assessment of heart valve disease. Time-resolved flow using magnetic resonance imaging (4 D flow MRI) can provide a comprehensive assessment of heart valve hemodynamics but it relies in manual plane analysis. In this study, we aimed to demonstrate the feasibility of automate the detection and tracking of aortic and mitral valve planes to assess blood flow from 4 D flow MRI.
methodsIn this prospective study, a total of
resultsAortic regurgitant fraction was elevated in aortic valve disease patients as compared with controls and mitral valve disease patients (
conclusionWe demonstrated that aortic and mitral hemodynamics can efficiently be quantified from 4 D flow MRI using assisted valve detection with machine learning.
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Registered trials
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