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Automated quantification of high-resolution CT scan findings in individuals at risk for pulmonary fibrosis.

Authors
  • Rosas, Ivan O1
  • Yao, Jianhua2
  • Avila, Nilo A3
  • Chow, Catherine K2
  • Gahl, William A4
  • Gochuico, Bernadette R5
  • 1 Pulmonary-Critical Care Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD; Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA.
  • 2 Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD.
  • 3 Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD; Veterans Affairs Medical Center, Washington, DC.
  • 4 Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
  • 5 Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD. Electronic address: [email protected]
Type
Published Article
Journal
CHEST Journal
Publisher
Elsevier
Publication Date
December 2011
Volume
140
Issue
6
Pages
1590–1597
Identifiers
DOI: 10.1378/chest.10-2545
PMID: 21622544
Source
Medline
License
Unknown

Abstract

Automated computer scoring of HRCT scans can objectively identify ILD and potentially quantify radiographic severity of lung disease in populations at risk for pulmonary fibrosis.

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