Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis

Rationale: Quantitative computed tomographic (CT) measures of baseline disease severity might identify patients with idiopathic pulmonary fibrosis (IPF) with an increased mortality risk. We evaluated whether quantitative CT variables could act as a cohort enrichment tool in future IPF drug trials. O...

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Опубликовано в: :Am J Respir Crit Care Med
Главные авторы: Jacob, Joseph, Bartholmai, Brian J., Rajagopalan, Srinivasan, van Moorsel, Coline H. M., van Es, Hendrik W., van Beek, Frouke T., Struik, Marjolijn H. L., Kokosi, Maria, Egashira, Ryoko, Brun, Anne Laure, Nair, Arjun, Walsh, Simon L. F., Cross, Gary, Barnett, Joseph, de Lauretis, Angelo, Judge, Eoin P., Desai, Sujal, Karwoski, Ronald, Ourselin, Sebastien, Renzoni, Elisabetta, Maher, Toby M., Altmann, Andre, Wells, Athol U.
Формат: Artigo
Язык:Inglês
Опубликовано: American Thoracic Society 2018
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Original Articles
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6222463/
https://ncbi.nlm.nih.gov/pubmed/29684284
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1164/rccm.201711-2174OC
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