Pulmonary Blood Volume Measurements from CT Scans for 376 Pulmonary Hypertension Patients

376 patients from the Cambridge PH Registry were analyzed using an AI-based segmentation model on computed tomography pulmonary angiography scans. The data includes pulmonary artery and vein volumes, patient anthropometrics, sex, age at diagnosis, and hemodynamic measurements. Author Hakim Ghani published the dataset on figshare under a CC-BY-4.0 license, last updated on 2026-05-11.

Use Cases

• Training models to predict pulmonary vascular resistance based on pulmonary blood volume and anthropometric features
• Investigating sex-related differences in pulmonary vasculature by normalizing blood volumes to body surface area
• Assessing the impact of diagnosis age and body mass index on pulmonary artery and vein compartment volumes

Strengths

• Includes data from 376 patients with a median age of 60 years and 57% female representation
• Contains invasively measured hemodynamic variables like pulmonary vascular resistance and cardiac output for model validation
• Analyzes five distinct patient groups including 120 with pulmonary arterial hypertension and 45 without pulmonary hypertension

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is very small at 26.6 KB, indicating limited scope

Provenance

Source

Secondary analysis from the Cambridge PH Registry.

Collection Method

AI-based segmentation model quantified volumes from computed tomography pulmonary angiography scans.

Freshness

Last updated 2026-05-11 04:23:32; freshness should be verified