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Efficacy of Dual Lung Cancer Screening by Chest X-Ray and Sputum Cytology Using Johns Hopkins Lung Project Data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kim, Seongho Erwin, Diane Wu, Dongfeng |
| Copyright Year | 2012 |
| Abstract | We investigate the efficacy of the dual-screening, annual chest X-ray and 4-monthly sputum cytology, for lung cancer detection using the Johns Hopkins Lung Project (JHLP) data. An advanced statistical approach to testing the dependency of dual diagnostic tests, chest X-ray and sputum cytology is applied for lung cancer detection. To achieve this, the screening sensitivities of X-ray only, cytology only, and dual-screening, the overall transition probability, the sojourn 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 or the boundary. Our analysis shows that the overall sensitivity of lung cancer screening is 85.34% with chest X-ray of 79.93% and 4-monthly sputum cytology of 26.98%, resulting in a small correlation coefficient of -0.0039, which is not significantly different from zero. As a result, the dual procedure improves the overall screening sensitivity up to ~5% in lung cancer detection. Citation: Kim S, Erwin D, Wu D (2012) Efficacy of Dual Lung Cancer Screening by Chest X-Ray and Sputum Cytology Using Johns Hopkins Lung Project Data. J Biomet Biostat 3:139. doi:10.4172/2155-6180.1000139 J Biomet Biostat ISSN:2155-6180 JBMBS, an open access journal Page 2 of 5 Volume 3 • Issue 3 • 1000139 found in Figure 1. Since 0 < αab< 1 for a,b=0,1, it follows that 0 < β1, β2 < 1 and that β1, β2 < β and β < β1+ β2. Based on [9], we obtain the correlation coefficient r, between X1 and X2 conditional on Z = 1 by the following equation: |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.omicsonline.org/efficacy-of-dual-lung-cancer-screening-by-chest-x-ray-and-sputum-cytology-using-johns-hopkins-lung-project-data-2155-6180.1000139.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Arabic numeral 0 Biomet Carcinoma of lung Coefficient Diagnostic radiologic examination Diagnostic tests Dual Ergodic theory Global optimization Local optimum Lung diseases Markov chain Mathematical optimization Non-Small Cell Lung Carcinoma Particle swarm optimization Plain chest X-ray Plain x-ray Program optimization Sputum Cytology Screening Structure of parenchyma of lung X-Ray Computed Tomography |
| Content Type | Text |
| Resource Type | Article |
