Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis.

Front Med (Lausanne) · 2025 · PMC12321761 · PMID 40766061

Europe PMC DOI

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closest p · 1.0× alpha

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did not reach statistical significanceP > 0.05actually significant

Consistent results were observed in the test cohort: FVC, FEV1, and FEV1/FVC ratio remained significantly different between the progression and stable groups ( P < 0.05), whereas age and DCH did not reach statistical significance ( P > 0.05).

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