Usual interstitial pneumonia can be detected in transbronchial biopsies using machine learning

Annals of the American Thoracic Society

Volumn 14, Issue 11, 2017, Pages 1646-1654

  Pankratz, Daniel G ^a   Choi, Yoonha ^a   Imtiaz, Urooj ^a   Fedorowicz, Grazyna M ^a   Anderson, Jessica D ^a   Colby, Thomas V ^b   Myers, Jeffrey L ^c   Lynch, David A ^d   Brown, Kevin K ^d   Flaherty, Kevin R ^c   Steele, Mark P ^e   Groshong, Steve D ^d   Raghu, Ganesh ^f   Barth, Neil M ^a   Walsh, P Sean ^a   Huang, Jing ^a   Kennedy, Giulia C ^a   Martinez, Fernando J ^g  

^a Veracyte Inc   (United States)

^b MAYO CLINIC   (United States)

^c UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^d DEPARTMENT OF MEDICINE   (United States)

^e VETERANS AFFAIRS MEDICAL CENTER   (United States)

^f UNIVERSITY OF WASHINGTON MEDICAL CENTER   (United States)

^g WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Idiopathic pulmonary fibrosis; Interstitial lung diseases; Molecular diagnostics

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; CLASSIFIER; DIAGNOSTIC ACCURACY; EXOME; FEMALE; GENE EXPRESSION; HUMAN; HUMAN TISSUE; INTERSTITIAL PNEUMONIA; LUNG BIOPSY; LUNG PARENCHYMA; MAJOR CLINICAL STUDY; MALE; MOLECULAR DIAGNOSIS; RECEIVER OPERATING CHARACTERISTIC; RNA EXTRACTION; RNA SEQUENCE; SENSITIVITY AND SPECIFICITY; TRANSBRONCHIAL BIOPSY; ADOLESCENT; BIOPSY; COHORT ANALYSIS; DIFFERENTIAL DIAGNOSIS; FIBROSING ALVEOLITIS; LUNG; MACHINE LEARNING; MIDDLE AGED; PATHOLOGY; PROCEDURES; SEQUENCE ANALYSIS; STATISTICAL MODEL; VERY ELDERLY; X-RAY COMPUTED TOMOGRAPHY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BIOPSY; COHORT STUDIES; DIAGNOSIS, DIFFERENTIAL; FEMALE; GENE EXPRESSION; HUMANS; IDIOPATHIC PULMONARY FIBROSIS; LOGISTIC MODELS; LUNG; MACHINE LEARNING; MALE; MIDDLE AGED; ROC CURVE; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, RNA; TOMOGRAPHY, X-RAY COMPUTED; YOUNG ADULT;

EID: 85031936279     PISSN: 23256621     EISSN: None     Source Type: Journal    
DOI: 10.1513/AnnalsATS.201612-947OC     Document Type: Article

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