Bland-Altman Bootstrap Analysis for Pulmonary Arterial Pressure Estimation

A study of 32 patients with known or suspected pulmonary hypertension, comparing non-invasive 4D flow MRI measurements to right heart catheterization. The dataset, authored by Charlotte Dantoing and last updated in April 2026, contains results from multivariate linear regression models for estimating mean and systolic pulmonary arterial pressures.

Use Cases

• Validate 4D flow MRI-derived pressure models based on parameters like mean helicity in the right ventricle and maximum PA cross-sectional area.
• Perform Bland-Altman analysis to assess agreement between MRI-based estimates and catheterization measurements.
• Build predictive models for pulmonary arterial pressure using hemodynamic and morphological features from cardiac MRI.
• Compare stepwise, bottom-up, and top-down covariate selection procedures for clinical regression modeling.

Strengths

• Includes data from 32 patients (22 men, 10 women, mean age 62.6 years) with a defined analysis/validation split.
• Provides specific multivariate regression equations with reported R² values of 0.69 and 0.80.
• Quantifies agreement with Bland-Altman bias values of 0.42 and 0.38 mmHg.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare, authored by Charlotte Dantoing.

Collection Method

Prospective clinical study where patients underwent right heart catheterization and cardiac MRI examinations.

Time Range

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Freshness

Last updated 2026-04-23 17:23:49; freshness should be verified.

Geography

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