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Cardiac Magnetic Resonance in Pulmonary Hypertension-an Update
Samer Alabed1,2, Pankaj Garg1, Christopher S Johns1,2
1Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Glossop Road, Sheffield, S10 2JF UK.
Cardiac magnetic resonance (CMR) imaging is advancing for pulmonary hypertension (PH) diagnosis and prognosis. Recent studies confirm its role in risk stratification and treatment assessment, with machine learning showing future promise.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Pulmonary hypertension (PH) presents diagnostic and prognostic challenges.
- Cardiac magnetic resonance (CMR) has emerged as a key imaging modality in PH management.
Purpose of the Study:
- To review recent advancements in CMR for pulmonary hypertension over the past three years.
- To highlight CMR applications in diagnosis, prognosis, 4D flow, strain analysis, T1 mapping, and machine learning.
Main Methods:
- Review of recent literature and studies on CMR in pulmonary hypertension.
- Analysis of established and emerging CMR techniques.
Main Results:
- CMR volumetric and functional metrics are established prognostic markers in PH.
- CMR is increasingly used for treatment response assessment and risk stratification.
- Emerging techniques like myocardial T1 mapping and strain analysis show potential for early dysfunction detection and mortality prediction.
- Machine learning offers future possibilities for automation and accuracy.
Conclusions:
- Recent large studies affirm CMR's diagnostic and prognostic value in PH.
- CMR is increasingly utilized as a clinical endpoint in PH therapy trials.
- Machine learning in CMR shows promise for improving accuracy and identifying PH imaging features.
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