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Updated: Jul 10, 2025

Murine Echocardiography of Left Atrium, Aorta, and Pulmonary Artery
Published on: February 20, 2017
The Left Atrial Area Derived Cardiovascular Magnetic Resonance Left Ventricular Filling Pressure Equation Shows
Ciaran Grafton-Clarke1,2, Gareth Matthews1,2, Rebecca Gosling3
1Department of Cardiology, Norfolk and Norwich University NHS Foundation Trust, Norwich NR4 7UY, UK.
Insights
A new cardiovascular magnetic resonance (CMR) model accurately estimates pulmonary capillary wedge pressure (PCWP) in heart failure patients. This CMR-derived PCWP predicts mortality, offering a valuable tool beyond traditional echocardiography.
Area of Science:
- Cardiology
- Medical Imaging
- Heart Failure Research
Background:
- Accurate assessment of left ventricular filling pressure (LVFP) is vital for heart failure (HF) diagnosis and management.
- Transthoracic echocardiography (TTE) and right heart catheterisation (RHC) are traditional methods, but cardiovascular magnetic resonance (CMR) offers advanced diagnostic capabilities.
- Estimating pulmonary capillary wedge pressure (PCWP) is key to evaluating LVFP in HF patients.
Purpose of the Study:
- To develop and validate a simple CMR-derived model for estimating PCWP in patients with suspected or confirmed HF.
- To assess the model's performance in risk-stratifying patients based on mortality.
Main Methods:
- A cohort of 835 patients with breathlessness underwent RHC and CMR.
- Linear regression analyses were used to derive a PCWP estimation model using CMR parameters, including left ventricular mass and left atrial area (LAA).
- The model's accuracy was validated by comparing CMR-derived PCWP with RHC-obtained PCWP.
Main Results:
- The CMR-derived PCWP model, incorporating left ventricular mass and LAA, showed good diagnostic accuracy.
- The model successfully reclassified 66% of patients with indeterminate or incorrect TTE assessments of filling pressures.
- The CMR-derived PCWP was a significant predictor of mortality (HR 1.15), outperforming RHC and TTE in survival analysis.
Conclusions:
- A simplified CMR-derived PCWP model offers an accurate and practical method for estimating PCWP in HF patients.
- This CMR-based approach demonstrates predictive value for mortality, serving as an important adjunct to echocardiography, particularly in complex cases.
- The model enhances diagnostic capabilities for heart failure management and risk stratification.
Abstract:
Background and objectives: Evaluating left ventricular filling pressure (LVFP) plays a crucial role in diagnosing and managing heart failure (HF). While traditional assessment methods involve multi-parametric transthoracic echocardiography (TTE) or right heart catheterisation (RHC), cardiovascular magnetic resonance (CMR) has emerged as a valuable diagnostic tool in HF. This study aimed to assess a simple CMR-derived model to estimate pulmonary capillary wedge pressure (PCWP) in a cohort of patients with suspected or proven heart failure and to investigate its performance in risk-stratifying patients. Materials and methods: A total of 835 patients with breathlessness were evaluated using RHC and CMR and split into derivation (85%) and validation cohorts (15%). Uni-variate and multi-variate linear regression analyses were used to derive a model for PCWP estimation using CMR. The model's performance was evaluated by comparing CMR-derived PCWP with PCWP obtained from RHC. Results: A CMR-derived PCWP incorporating left ventricular mass and the left atrial area (LAA) demonstrated good diagnostic accuracy. The model correctly reclassified 66% of participants whose TTE was 'indeterminate' or 'incorrect' in identifying raised filling pressures. On survival analysis, the CMR-derived PCWP model was predictive for mortality (HR 1.15, 95% CI 1.04-1.28, p = 0.005), which was not the case for PCWP obtained using RHC or TTE. Conclusions: The simplified CMR-derived PCWP model provides an accurate and practical tool for estimating PCWP in patients with suspected or proven heart failure. Its predictive value for mortality suggests the ability to play a valuable adjunctive role in echocardiography, especially in cases with unclear echocardiographic assessment.
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