Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer

Journal of Thoracic Oncology

Volumn 12, Issue 3, 2017, Pages 578-584

  Massion, Pierre P ^a   Healey, Graham F ^b   Peek, Laura J ^b   Fredericks, Lynn ^b   Sewell, Herb F ^c   Murray, Andrea ^b   Robertson, John F R ^c  

^a VANDERBILT INGRAM CANCER CENTER   (United States)

^b Oncimmune Germany GmbH   (United States)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Autoantibodies; CT scanning; Lung cancer; Pulmonary nodules; Risk models

Indexed keywords

AUTOANTIBODY;

ADULT; AGED; ARTICLE; CANCER REGISTRY; CANCER RISK; COHORT ANALYSIS; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; EARLY DIAGNOSIS; FEMALE; HISTOPATHOLOGY; HUMAN; IMMUNOASSAY; LUNG CANCER; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PREVALENCE; SENSITIVITY AND SPECIFICITY; TREATMENT DURATION; VERY ELDERLY; BLOOD; CANCER STAGING; DIAGNOSTIC IMAGING; FOLLOW UP; LUNG TUMOR; MIDDLE AGED; MULTIPLE PULMONARY NODULES; NON SMALL CELL LUNG CANCER; PROCEDURES; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; SMALL CELL LUNG CANCER; X-RAY COMPUTED TOMOGRAPHY;

ADULT; AGED; AGED, 80 AND OVER; AUTOANTIBODIES; CARCINOMA, NON-SMALL-CELL LUNG; FEMALE; FOLLOW-UP STUDIES; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MULTIPLE PULMONARY NODULES; NEOPLASM STAGING; PROGNOSIS; ROC CURVE; SMALL CELL LUNG CARCINOMA; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 85015320087     PISSN: 15560864     EISSN: 15561380     Source Type: Journal    
DOI: 10.1016/j.jtho.2016.08.143     Document Type: Article

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