Accuracy of clinicians and models for estimating the probability that a pulmonary nodule is malignant

Annals of the American Thoracic Society

Volumn 10, Issue 6, 2013, Pages 629-635

  Balekian, Alex A ^a   Silvestri, Gerard A ^b   Simkovich, Suzanne M ^b   Mestaz, Peter J ^c   Sanders, Gillian D ^d   Daniel, Jamie ^d   Porcel, Jackie ^e   Gould, Michael K ^e  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^c DEPARTMENT OF VETERANS AFFAIRS   (United States)

^d DUKE CLINICAL RESEARCH INSTITUTE   (United States)

^e Kaiser Permanente Southern California ^*  (United States)

Author keywords

Diagnosis; Prediction models; Solitary pulmonary nodule

Indexed keywords

ACCURACY; ADULT; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DISEASE MODEL; FEMALE; HUMAN; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; PHYSICIAN; PREDICTION; PROBABILITY; PROSPECTIVE STUDY; VIGNETTE;

CLINICAL COMPETENCE; DECISION SUPPORT TECHNIQUES; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; PHYSICIANS, PRIMARY CARE; PROBABILITY; PULMONARY MEDICINE; SOLITARY PULMONARY NODULE;

EID: 84892154262     PISSN: 23256621     EISSN: None     Source Type: Journal    
DOI: 10.1513/AnnalsATS.201305-107OC     Document Type: Article

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