Patient Population Characteristics for Idiopathic Pulmonary Fibrosis Prognosis

66 patients with idiopathic pulmonary fibrosis (IPF) were analyzed in a single-center retrospective longitudinal study. The dataset includes CT-derived histogram measures from paired inspiratory/expiratory scans and baseline forced vital capacity (FVC%) to predict patient outcomes over a three-year period. Authored by Sarah C. Scharm and last updated in March 2026, the data is shared under a CC-BY-4.0 license.

Use Cases

• Predicting patient survival or transplantation risk based on CT histogram skewness.
• Comparing the prognostic performance of imaging biomarkers versus traditional lung function tests like FVC%.
• Modeling alveolar collapse in IPF using paired inspiratory/expiratory attenuation histogram analysis.

Strengths

• Includes data for 66 patients with a mean age of 69.5 years.
• Provides a direct comparison of two distinct outcome subgroups over a three-year observation period.
• Logistic regression results, including AUC values (e.g., 0.793), are documented in the study description.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect single-center bias inherent to the study design.

Provenance

Source

Sarah C. Scharm via figshare.

Collection Method

Single-center retrospective longitudinal study analyzing CT scans.

Time Range

Three-year observation period following baseline CT.

Freshness

Last updated 2026-03 17:29:21; freshness should be verified.

Geography

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