Computed Tomographic Biomarkers in Idiopathic Pulmonary Fibrosis. The Future of Quantitative Analysis

Xiaoping Wu, Grace H Kim, Margaret L Salisbury, David Barber, Brian J Bartholmai, Kevin K Brown, Craig S Conoscenti, Jan De Backer, Kevin R Flaherty, James F Gruden, Eric A Hoffman, Stephen M Humphries, Joseph Jacob, Toby M Maher, Ganesh Raghu, Luca Richeldi, Brian D Ross, Rozsa Schlenker-Herceg, Nicola Sverzellati, Athol U WellsFernando J Martinez, David A Lynch, Jonathan Goldin, Simon L F Walsh

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)12-21
Number of pages10
JournalAmerican Journal of Respiratory and Critical Care Medicine
Volume199
Issue number1
DOIs
Publication statusPublished - Jan 1 2019

Keywords

  • Biomarkers
  • Forecasting
  • Humans
  • Idiopathic Pulmonary Fibrosis/diagnostic imaging
  • Lung/diagnostic imaging
  • Tomography, X-Ray Computed

Cite this

Wu, X., Kim, G. H., Salisbury, M. L., Barber, D., Bartholmai, B. J., Brown, K. K., Conoscenti, C. S., De Backer, J., Flaherty, K. R., Gruden, J. F., Hoffman, E. A., Humphries, S. M., Jacob, J., Maher, T. M., Raghu, G., Richeldi, L., Ross, B. D., Schlenker-Herceg, R., Sverzellati, N., ... Walsh, S. L. F. (2019). Computed Tomographic Biomarkers in Idiopathic Pulmonary Fibrosis. The Future of Quantitative Analysis. American Journal of Respiratory and Critical Care Medicine, 199(1), 12-21. https://doi.org/10.1164/rccm.201803-0444PP