Imaging Parameters of a 4D Flow MRI Sequence for Pulmonary Hypertension

A study of 32 patients with known or suspected pulmonary hypertension, comparing non-invasive 4D flow MRI measurements with invasive right heart catheterization. The dataset, authored by Charlotte Dantoing and last updated in April 2026, contains parameters used to derive multivariate linear regression models for estimating pulmonary arterial pressure. The models include variables such as mean helicity in the right ventricle and maximum cross-sectional pulmonary artery area.

Use Cases

• Developing regression models for non-invasive pulmonary arterial pressure estimation based on 4D flow MRI parameters.
• Comparing hemodynamic metrics like mean helicity and vorticity against invasive catheterization measurements.
• Validating the diagnostic potential of accelerated kat-arc 4D flow MRI sequences for patient follow-up.

Strengths

• Includes data from 32 patients (22 men, 10 women, mean age 62.6 years) with a defined analysis/validation split.
• Provides specific multivariate linear regression formulas with reported R² values of 0.69 and 0.80.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and distribution.

Limitations

• Row count is unknown, which may limit suitability assessment for machine learning tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating a limited scope likely focused on model parameters rather than raw patient data.

Provenance

Source

figshare, authored by Charlotte Dantoing.

Collection Method

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

Time Range

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Freshness

Last updated 2026-04-23 17:23:40; freshness should be verified.

Geography

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