Unclassifiable-interstitial lung disease: Outcome prediction using CT and functional indices

Respiratory Medicine

Volumn 130, Issue , 2017, Pages 43-51

  Jacob, Joseph ^b   Bartholmai, Brian J ^b   Rajagopalan, Srinivasan ^c   Egashira, Ryoko ^d   Brun, Anne Laure ^a   Kokosi, Maria ^a   Nair, Arjun ^e   Walsh, Simon L F ^f   Karwoski, Ronald ^c   Nicholson, Andrew G ^a   Hansell, David M ^a   Wells, Athol U ^a  

^a ROYAL BROMPTON AND HAREFIELD NHS FOUNDATION TRUST   (United Kingdom)

^b MAYO CLINIC ROCHESTER   (United States)

^c MAYO GRADUATE SCHOOL   (United States)

^d SAGA UNIVERSITY   (Japan)

^e GUY'S AND ST THOMAS' NHS FOUNDATION TRUST   (United Kingdom)

^f KING'S COLLEGE HOSPITAL NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Longitudinal analysis; Quantitative CT; Unclassifiable interstitial lung disease

Indexed keywords

AGED; ARTERY DIAMETER; ARTICLE; BRONCHIECTASIS; COMPOSITE PHYSIOLOGIC INDEX; COMPUTER ASSISTED TOMOGRAPHY; DISEASE SEVERITY; FEMALE; FORCED VITAL CAPACITY; HUMAN; INTERSTITIAL LUNG DISEASE; LONGITUDINAL STUDY; LUNG FUNCTION; MAJOR CLINICAL STUDY; MALE; MORTALITY; PRIORITY JOURNAL; PULMONARY ARTERY; QUANTITATIVE ANALYSIS; RESPIRATORY TRACT PARAMETERS; STATISTICAL MODEL; UNCLASSIFIABLE INTERSTITIAL LUNG DISEASE; ANATOMY AND HISTOLOGY; CONNECTIVE TISSUE DISEASE; DIAGNOSTIC IMAGING; FIBROSING ALVEOLITIS; FORCED EXPIRATORY VOLUME; LUNG; LUNG FUNCTION TEST; METABOLISM; MULTIVARIATE ANALYSIS; OUTCOME ASSESSMENT; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; PROGNOSIS; SEVERITY OF ILLNESS INDEX; VITAL CAPACITY; X-RAY COMPUTED TOMOGRAPHY;

CARBON MONOXIDE;

AGED; BRONCHIECTASIS; CARBON MONOXIDE; CONNECTIVE TISSUE DISEASES; FEMALE; FORCED EXPIRATORY VOLUME; HUMANS; IDIOPATHIC PULMONARY FIBROSIS; LUNG; LUNG DISEASES, INTERSTITIAL; MALE; MULTIVARIATE ANALYSIS; OUTCOME ASSESSMENT (HEALTH CARE); PREDICTIVE VALUE OF TESTS; PROGNOSIS; PULMONARY ARTERY; RESPIRATORY FUNCTION TESTS; SEVERITY OF ILLNESS INDEX; TOMOGRAPHY, X-RAY COMPUTED; VITAL CAPACITY;

EID: 85024888841     PISSN: 09546111     EISSN: 15323064     Source Type: Journal    
DOI: 10.1016/j.rmed.2017.07.007     Document Type: Article

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