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Cancer Screening Program in Urban Kunming of Yunnan: Evaluation of Lung Cancer Risk Assessment and Screening
- Source :
- Chinese Journal of Lung Cancer, Vol 23, Iss 7, Pp 541-546 (2020)
- Publication Year :
- 2020
- Publisher :
- Chinese Anti-Cancer Association; Chinese Antituberculosis Association, 2020.
-
Abstract
- Backgroud and objective Lung cancer is the most common neoplasmas with a poor prognosis and a low 5-year survival rate. Early screening is an important measure for the prevention and treatment of lung cancer. At present, different countries have issued corresponding lung cancer screening guidelines, but China still lacks guidelines based on Chinese population research. Therefore, the National Cancer Center launched a Multi-center Cancer Screening Program in Urban China. This study analyzed the evaluation of lung cancer risk assessment model and screening effect in urban China of Yunnan, so as to explore the evaluation model of high-risk lung cancer population suitable for China's national conditions and develop lung cancer screening guidelines for Chinese. Methods A questionnaire survey and lung cancer risk assessment were conducted on 165,337 people in 36 street offices in 4 main urban areas of Kunming, Yunnan Province, using cluster sampling method from January 2015 to December 2019. People with high-risk of lung cancer conducted low-dose computed tomography (LDCT) screening of chest. What’s more, all participants were followed up by active or passive follow-up. Results There were 264 patients were diagnosed lung cancer by pathology, and the overall incidence of lung cancer was 0.16% (264/165,337). The high-risk group (0.31%, 116/37,914) was higher than the non-high-risk group (0.12%, 148/127,423), and the difference was statistically significant (P
Details
- Language :
- Chinese
- ISSN :
- 10093419 and 19996187
- Volume :
- 23
- Issue :
- 7
- Database :
- Directory of Open Access Journals
- Journal :
- Chinese Journal of Lung Cancer
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5394bf9696c4cacbd1da3e51100bae4
- Document Type :
- article
- Full Text :
- https://doi.org/10.3779/j.issn.1009-3419.2020.101.30