Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study

BACKGROUND: Quantitative CT is becoming increasingly common for the characterisation of lung disease; however, its added potential as a clinical tool for predicting severe exacerbations remains understudied. We aimed to develop and validate quantitative CT-based models for predicting severe chronic...

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Detalles Bibliográficos
Autores principales: Chaudhary, Muhammad F A, Hoffman, Eric A, Guo, Junfeng, Comellas, Alejandro P, Newell, John D, Nagpal, Prashant, Fortis, Spyridon, Christensen, Gary E, Gerard, Sarah E, Pan, Yue, Wang, Di, Abtin, Fereidoun, Barjaktarevic, Igor Z, Barr, R Graham, Bhatt, Surya P, Bodduluri, Sandeep, Cooper, Christopher B, Gravens-Mueller, Lisa, Han, MeiLan K, Kazerooni, Ella A, Martinez, Fernando J, Menchaca, Martha G, Ortega, Victor E, Paine, Robert, Schroeder, Joyce D, Woodruff, Prescott G, Reinhardt, Joseph M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896720/
https://www.ncbi.nlm.nih.gov/pubmed/36707189
http://dx.doi.org/10.1016/S2589-7500(22)00232-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896720/
https://www.ncbi.nlm.nih.gov/pubmed/36707189
http://dx.doi.org/10.1016/S2589-7500(22)00232-1

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