English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

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.

Efficacy of Dual Lung Cancer Screening by Chest X-Ray and Sputum Cytology Using Johns Hopkins Lung Project Data