Mann-Whitney U Test Results for CT-Based Prognosis in Idiopathic Pulmonary Fibrosis

Sarah C. Scharm published a dataset containing results of a Mann-Whitney U test and logistic regression analysis for predicting outcomes in idiopathic pulmonary fibrosis (IPF). The data originates from a single-center retrospective study of 66 patients (mean age 69.5 years, 58 males) and compares CT-derived histogram measures between patient subgroups. The dataset was last updated on 2026-03 17 and is available under a CC-BY-4.0 license.

Use Cases

• Validate the predictive performance of CT histogram skewness for IPF outcomes based on the reported AUC values.
• Compare the prognostic utility of imaging biomarkers versus clinical measures like forced vital capacity (FVC%).
• Replicate the statistical analysis comparing patient subgroups using the provided test results.
• Explore the relationship between inspiratory/expiratory CT attenuation histograms and alveolar collapse.

Strengths

• Includes specific performance metrics for predictive models, such as an AUC of 0.793 for the skewness model.
• Based on a clearly defined cohort of 66 IPF patients with a mean age of 69.5 years.
• Results are derived from a formal statistical methodology, including Mann-Whitney U tests and logistic regression.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single-center study, which may limit generalizability.

Provenance

Source

Sarah C. Scharm via figshare.

Collection Method

Single-center retrospective longitudinal study analyzing CT scans.

Time Range

Observation period of three years after baseline CT.

Freshness

Last updated 2026-03-17 17:29:23; freshness should be verified.

Geography

Geography is unknown; study was single-center.