Código QR

Upper-lobe CT imaging features improve prediction of lung function decline in COPD

Background It is unknown whether prediction models for lung function decline using computed tomography (CT) imaging-derived features from the upper lobes improve performance compared with globally derived features in individuals at risk of and with COPD. Methods Individuals at risk (current or forme...

Descrición completa

Gardado en:
Detalles Bibliográficos
Principais autores: Kalysta Makimoto, Sukhraj Virdee, Meghan Koo, James C. Hogg, Jean Bourbeau, Wan C. Tan, Miranda Kirby, Jonathon Samet, Milo Puhan, Qutayba Hamid, Carolyn Baglole, Palmina Mancino, Pei-Zhi Li, Zhi Song, Dennis Jensen, Benjamin Mcdonald Smith, Yvan Fortier, Mina Dligui, Kenneth Chapman, Jane Duke, Andrea S Gershon, Teresa To, J Mark Fitzgerald, Mohsen Sadatsafavi, Christine Lo, Sarah Cheng, Elena Un, Michael Cheng, Cynthia Fung, Nancy Haynes, Liyun Zheng, LingXiang Zou, Joe Comeau, Jonathon Leipsic, Cameron Hague, Brandie L Walker, Curtis Dumonceaux, Paul Hernandez, Scott Fulton, Shawn Aaron, Kathy Vandemheen, Denis O'Donnell, Matthew McNeil, Kate Whelan, Francois Maltais, Cynthia Brouillard, Darcy Marciniuk, Ron Clemens, Janet Baran
Formato: Artigo
Idioma:Inglês
Publicado: European Respiratory Society 2025-06-01
Series:ERJ Open Research
Acceso en liña:http://openres.ersjournals.com/content/11/3/00876-2024.full
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!