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Prognostic Impact of Quantitative CT Disease Extent and Pattern in Hypersensitivity Pneumonitis

2025-10-14 respiratory medicine Title + abstract only
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RationaleIn contrast to visual assessments, quantitative CT using multiple instance learning (MIL)-usual interstitial pneumonia (UIP) classifier and data-driven textural analysis (DTA) provides objective and reproducible measurements of disease pattern and extent, respectively. However, the understanding of their individual or combined relationships with outcomes in hypersensitivity pneumonitis (HP) remains limited. ObjectivesTo determine whether visual CT patterns of HP or UIP, a MIL-UIP class...

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