Quantitative computed tomography predicts outcomes in idiopathic pulmonary fibrosis

BACKGROUND AND OBJECTIVE: Prediction of disease course in patients with progressive pulmonary fibrosis remains challenging. The purpose of this study was to assess the prognostic value of lung fibrosis extent quantified at computed tomography (CT) using data‐driven texture analysis (DTA) in a large...

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Detalles Bibliográficos
Autores principales: Humphries, Stephen M., Mackintosh, John A., Jo, Helen E., Walsh, Simon L. F., Silva, Mario, Calandriello, Lucio, Chapman, Sally, Ellis, Samantha, Glaspole, Ian, Goh, Nicole, Grainge, Christopher, Hopkins, Peter M. A., Keir, Gregory J., Moodley, Yuben, Reynolds, Paul N., Walters, E. Haydn, Baraghoshi, David, Wells, Athol U., Lynch, David A., Corte, Tamera J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2022
Materias:
ORIGINAL ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796832/
https://www.ncbi.nlm.nih.gov/pubmed/35875881
http://dx.doi.org/10.1111/resp.14333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796832/
https://www.ncbi.nlm.nih.gov/pubmed/35875881
http://dx.doi.org/10.1111/resp.14333

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