[Risk factors for lung cancer based on low-dose computed tomography screening].

Objective: To analyze the risk factors related to lung cancer in participants with low-dose computed tomography (LDCT) screening, to provide data support for identifying high-risk groups of lung cancer and to improve the effectiveness of LDCT lung cancer screening. Methods: A total of 5 366 asymptomatic subjects (2 762 males and 2 604 females) who underwent LDCT lung cancer screening were recruited at Cancer Hospital, Chinese Academy of Medical Sciences from 2014 to 2017. The result of LDCT and the risk factors of participants were analyzed. The LDCT positive results were defined as solid or part-solid nodules≥5 mm and non-solid nodule≥8 mm. A total of 12 factors were included and multivariate logistic regression was used to analyze the risk factors associated with lung cancer in the study. Results: Of the 5 366 asymptomatic subjects, 389 were positive and 4 977 were negative for LDCT screening. Among them, 26 of 389 positive cases were confirmed as lung cancers pathologically, and the detection rate of stage I lung cancer was 92.3% (24/26). Multivariate logistic regression showed that age, smoking, low level of education were the relevant risk factors for lung cancer and positive nodules. A stratified analysis of age showed that no risk factors were detected in the 40-49 years old group, while age, smoking, low level of education (primary school and below) were recognized as risk factors in the ≥50 years old group. No statistically significant risk factor was detected between the lung cancer group and the positive nodules group. Conclusions: Age, smoking, and low level of education (primary school and below) are related risk factors for lung cancer and positive nodules. People aged 50 years or older, smoking, and low level of education may be a high risk group for lung cancer. LDCT can effectively detect early lung cancer.

[The correlation study of ground glass opacity and lepidic growth pattern component in stage I lung invasive adenocarcinoma].

Objective: To investigate the correlation between Ground Glass Opacity (GGO) component proportion and quantitative classification of lepidic growth pattern in pathological stage Ⅰpulmonary adenocarcinoma. Methods: Pathological and HRCT data of 183 stage Ⅰ invasive adenocarcinoma patients from January 2005 to December 2012 were retrospectively reviewed. The proportion of GGO was calculated from diameter and volume.The correlation between GGO component proportion and lepidic growth pattern in pathological were analyzed by Spearman correlation. Results: Among 183 patients, the proportion of GGO component calculated by maximum diameter method and three-dimensional computerized quantification was 0.43±0.35 and 0.20±0.18, respectively. The percentage of lepidic growth pattern component using semi-quantitative analysis of pathological sections was 0.29±0.25.The proportion of GGO by diameter and three-dimensional computerized quantification was significantly correlated with the percentage of lepidic growth pattern component (r=0.599, P< 0.001; r=0.620, P<0.001). Conclusions: There was a positive correlation between the content of lepidic growth pattern and the content of GGO in the small adenocarcinoma. Three-dimensional computerized quantification was a better method in preoperational evaluation.