Lobe-wise CT Histogram Values for Idiopathic Pulmonary Fibrosis Prognosis

A single-center retrospective longitudinal study analyzed paired inspiratory and expiratory CT scans from 66 patients with idiopathic pulmonary fibrosis (IPF). The dataset includes CT-derived histogram measures, such as skewness, and baseline forced vital capacity (FVC%) to evaluate their predictive value for patient outcomes over a three-year period. The study was authored by Sarah C. Scharm and last updated in March 2026.

Use Cases

• Predicting patient survival or transplantation risk based on CT histogram skewness.
• Modeling alveolar collapse in IPF using paired inspiratory/expiratory attenuation histograms.
• Comparing the prognostic performance of imaging biomarkers against clinical measures like FVC%.
• Training logistic regression classifiers to distinguish patient subgroups based on imaging and clinical data.

Strengths

• Includes data from 66 patients with a mean age of 69.5 years.
• Provides specific predictive performance metrics (AUC=0.793) for a model using histogram skewness.
• Data is structured in an XLS file and is openly licensed under CC-BY-4.0.

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

Retrospective analysis of clinical CT scans.

Time Range

Three-year observation period following baseline CT.

Freshness

Last updated 2026-03-17 17:29:26; freshness should be verified.

Geography

Single-center study; geographic location is unspecified.