Quantitative CT and machine learning classification of fibrotic interstitial lung diseases

ConclusionsQCT features successfully differentiated pathologically proven UIP, NSIP, and CHP. While QCT-based ML models outperformed a DL model for classifying ILDs, further investigations are warranted to determine if QCT-ML, DL, or a combination will be superior in ILD classification.Key Points• Quantitative CT features successfully differentiated pathologically proven UIP, NSIP, and CHP.• Our quantitative CT-based machine learning models demonstrated high performance in classifying UIP, NSIP, and CHP histopathology, outperforming a deep learning model.• While our quantitative CT-based machine learning models performed better than a DL model, additional investigations are needed to determine whether either or a combination of both approaches delivers superior diagnostic performance.
Source: European Radiology - Category: Radiology Source Type: research