CT-Derived Deep Learning-Based Quantification of Body Composition Associated with Disease Severity in Chronic Obstructive Pulmonary Disease

PURPOSE: Our study aimed to evaluate the association between automated quantified body composition on CT and pulmonary function or quantitative lung features in patients with chronic obstructive pulmonary disease (COPD). MATERIALS AND METHODS: A total of 290 patients with COPD were enrolled in this...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2023
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585079/
https://www.ncbi.nlm.nih.gov/pubmed/37869106
http://dx.doi.org/10.3348/jksr.2022.0152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585079/
https://www.ncbi.nlm.nih.gov/pubmed/37869106
http://dx.doi.org/10.3348/jksr.2022.0152

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