CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping.

ABSTRACT: Chronic obstructive pulmonary disease (COPD) is heterogenous in its clinical manifestations and disease progression. Patients often have disease courses that are difficult to predict with readily available data, such as lung function testing. The ability to better classify COPD into well-defined groups will allow researchers and clinicians to tailor novel therapies, monitor their effects, and improve patient-centered outcomes. Different modalities of assessing these COPD phenotypes are actively being studied, and an area of great promise includes the use of quantitative computed tomography (QCT) techniques focused on key features such as airway anatomy, lung density, and vascular morphology. Over the last few decades, companies around the world have commercialized automated CT software pac

SUBMITTER: Wang JM 

PROVIDER: S-EPMC9056100 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature