Quantitative Analysis of Interstitial Lung Disease via AI-Enhanced Chest CT in Patients with Idiopathic Inflammatory Myopathies: Correlation with Expert Visual Evaluation in 107 Cases

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Interstitial lung disease (ILD) affects up to 40% of patients with idiopathic inflammatory myopathies (IIMs) and significantly worsens prognosis.
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High-resolution computed tomography (HRCT) is essential for detecting and characterizing ILD in IIM, providing important prognostic information.
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Visual HRCT assessment is semi-quantitative and subject to variability, making standardization in multicenter settings challenging.
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AI-based imaging tools can provide objective assessments of ILD on HRCT, potentially serving as imaging biomarkers for disease severity.
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This study compares AI-based HRCT analysis with expert visual evaluation to quantify ILD lesions in patients with IIM-associated ILD.

Bmc Pulmonary Medicine

by Youlia Kuzmanovic, Amira Benattia, Amandine Laporte, Kubéraka Mariampillai, Yves Allenbach, Yurdagül Uzunhan, Pierre-Yves Brillet, Phillipe A. Grenier, Victoria Donciu, Nicoletta Pasi, Olivier Benveniste, Alban Redheuil, Samia Boussouar
February 26, 2026

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