Litcius/Paper detail

Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial

Lauge Sørensen, Mads Nielsen, Jens Petersen, Jesper Holst Pedersen, Asger Dirksen, Marleen de Bruijne

2020American Journal of Roentgenology32 citationsDOIOpen Access PDF

Abstract

The present study highlights texture as a promising quantitative CT measure of COPD to use alongside, or even instead of, densitometric measures. Moreover, texture may allow early detection of COPD in subjects who undergo lung cancer screening.

Topics & Concepts

MedicineCOPDLung cancerObstructive lung diseasePercentileInternal medicinePulmonary function testingLungDensitometryBayesian multivariate linear regressionNational Lung Screening TrialPulmonary diseaseLinear regressionLung cancer screeningMachine learningStatisticsMathematicsComputer scienceLung Cancer Diagnosis and TreatmentChronic Obstructive Pulmonary Disease (COPD) ResearchRadiomics and Machine Learning in Medical Imaging