Risk of Lung Cancer Associated with COPD Phenotype Based on Quantitative Image Analysis
| Autor: | Ayman O. Soubani, Shirish M. Gadgeel, Donovan Watza, Ann G. Schwartz, Michele L. Cote, Amy A. Ardisana, Michael J. Flynn, David L. Spizarny, Robert Chapman, Antoinette J. Wozniak, Laura Mantha, Thomas Song, Angela S. Wenzlaff, Christine Neslund-Dudas, Paul A. Kvale, Stephanie S. Pandolfi, Garrett Walworth, Christine M. Lusk |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
Male Spirometry medicine.medical_specialty Lung Neoplasms Epidemiology Vital Capacity Air trapping Article Pulmonary Disease Chronic Obstructive 03 medical and health sciences FEV1/FVC ratio 0302 clinical medicine Risk Factors Forced Expiratory Volume Internal medicine medicine Humans Lung volumes Prospective Studies Lung cancer Lung Aged Aged 80 and over COPD medicine.diagnostic_test business.industry Smoking Cancer Middle Aged respiratory system medicine.disease Respiratory Function Tests respiratory tract diseases Surgery Phenotype 030228 respiratory system Oncology Case-Control Studies 030220 oncology & carcinogenesis Female medicine.symptom Tomography X-Ray Computed business Lung cancer screening |
| Zdroj: | Cancer Epidemiology, Biomarkers & Prevention. 25:1341-1347 |
| ISSN: | 1538-7755 1055-9965 |
| Popis: | Background: Chronic obstructive pulmonary disease (COPD) is a risk factor for lung cancer. This study evaluates alternative measures of COPD based on spirometry and quantitative image analysis to better define a phenotype that predicts lung cancer risk. Methods: A total of 341 lung cancer cases and 752 volunteer controls, ages 21 to 89 years, participated in a structured interview, standardized CT scan, and spirometry. Logistic regression, adjusted for age, race, gender, pack-years, and inspiratory and expiratory total lung volume, was used to estimate the odds of lung cancer associated with FEV1/FVC, percent voxels less than −950 Hounsfield units on the inspiratory scan (HUI) and percent voxels less than −856 HU on expiratory scan (HUE). Results: The odds of lung cancer were increased 1.4- to 3.1-fold among those with COPD compared with those without, regardless of assessment method; however, in multivariable modeling, only percent voxels Conclusion: Measures of air trapping using quantitative imaging, in addition to FEV1/FVC, can identify individuals at high risk of lung cancer and should be considered as supplementary measures at the time of screening for lung cancer. Impact: Quantitative measures of air trapping based on imaging provide additional information for the identification of high-risk groups who might benefit the most from lung cancer screening. Cancer Epidemiol Biomarkers Prev; 25(9); 1341–7. ©2016 AACR. |
| Databáze: | OpenAIRE |
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