Impact of a bronchial genomic classifier on clinical decision making in patients undergoing diagnostic evaluation for lung cancer

Bronchoscopy is frequently used for the evaluation of suspicious pulmonary lesions found on computed tomography, but its sensitivity for detecting lung cancer is limited. Recently, a bronchial genomic classifier was validated to improve the sensitivity of bronchoscopy for lung cancer detection, demo...

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Bibliographic Details
Published in:BMC pulmonary medicine 2016-05, Vol.16 (1), p.66-66, Article 66
Main Authors: Ferguson, J Scott, Van Wert, Ryan, Choi, Yoonha, Rosenbluth, Michael J, Smith, Kate Porta, Huang, Jing, Spira, Avrum
Format: Article
Language:English
Subjects:
Bronchoscopy - methods
Care and treatment
Clinical Decision-Making
Clinical medicine
Complications and side effects
Consent
CT imaging
Decision making
Diagnosis, Differential
Female
Follow-Up Studies
Gene expression
Genomics - methods
Humans
Hypotheses
Lung - diagnostic imaging
Lung cancer
Lung Neoplasms - classification
Lung Neoplasms - diagnosis
Lung Neoplasms - genetics
Male
Middle Aged
Mortality
Prospective Studies
Pulmonology
Reproducibility of Results
Review boards
Statistical analysis
Studies
Tomography, X-Ray Computed - methods
Ultrasonic imaging
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Summary:Bronchoscopy is frequently used for the evaluation of suspicious pulmonary lesions found on computed tomography, but its sensitivity for detecting lung cancer is limited. Recently, a bronchial genomic classifier was validated to improve the sensitivity of bronchoscopy for lung cancer detection, demonstrating a high sensitivity and negative predictive value among patients at intermediate risk (10-60 %) for lung cancer with an inconclusive bronchoscopy. Our objective for this study was to determine if a negative genomic classifier result that down-classifies a patient from intermediate risk to low risk (
ISSN:1471-2466
1471-2466
DOI:10.1186/s12890-016-0217-1