Predicting Progressive Pulmonary Fibrosis in Idiopathic Inflammatory Myopathy-associated Interstitial Lung Disease: A Machine Learning Approach Integrating Quantitative CT and Clinical Features.
BACKGROUND The prognosis of progressive pulmonary fibrosis (PPF) in idiopathic inflammatory myopathy-associated interstitial lung disease (IIM-ILD) is poor, and current strategies for predicting its development are limited. This study aimed to use machine learning to integrate quantitative computed tomography (QCT) and...