Computed tomographic biomarkers in idiopathic pulmonary fibrosis: The future of quantitative analysis

Xiaoping Wu, Grace H. Kim, Margaret L. Salisbury, David Barber, Brian Jack 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 journalReview article

16 Scopus citations
Original languageEnglish (US)
Pages (from-to)12-21
Number of pages10
JournalAmerican Journal of Respiratory and Critical Care Medicine
Volume199
Issue number1
DOIs
StatePublished - Jan 1 2019

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Critical Care and Intensive Care Medicine

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