| Journal of Biometrics & Biostatistics | |
| Efficacy of Dual Lung Cancer Screening by Chest X-Ray and SputumCytology Using Johns Hopkins Lung Project Data | |
| article | |
| Seongho Kim1  Diane Erwin2  Dongfeng Wu1  | |
| [1] Dept of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville;Information Management Services, Inc. | |
| 关键词: Cytology; X-ray; Sojourn time; Sensitivity; Transitionprobability; Lung cancer screening; | |
| DOI : 10.4172/2155-6180.1000139 | |
| 来源: Hilaris Publisher | |
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【 摘 要 】
We investigate the efficacy of the dual-screening, annual chest X-ray and 4-monthly sputum cytology, for lungcancer detection using the Johns Hopkins Lung Project (JHLP) data. An advanced statistical approach to testing thedependency of dual diagnostic tests, chest X-ray and sputum cytology is applied for lung cancer detection. To achievethis, the screening sensitivities of X-ray only, cytology only, and dual-screening, the overall transition probability, thesojourn time, and the mean lead time were estimated from JHLP data. A derivative-free global optimization method,Particle Swarm Optimization (PSO), was further employed in the procedure to avoid being stuck at a local optimum orthe boundary. Our analysis shows that the overall sensitivity of lung cancer screening is 85.34% with chest X-ray of79.93% and 4-monthly sputum cytology of 26.98%, resulting in a small correlation coefficient of -0.0039, which is notsignificantly different from zero. As a result, the dual procedure improves the overall screening sensitivity up to ~5% inlung cancer detection.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307140003684ZK.pdf | 1668KB |
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