肺结节全程化管理在南疆地区肺癌防治中的应用效果

Objective To evaluate the application effectiveness of the whole-process management model for pulmonary nodules in lung cancer prevention and treatment in the Southern Xinjiang region. Methods A retrospective analysis was performed on the screening, diagnosis, and treatment data of 935 high-risk individuals who underwent lung cancer screening and pulmonary nodule diagnosis and treatment in the jurisdiction of Alaer City, the First Division of Xinjiang Production and Construction Corps, between January 2024 and December 2025. They were divided into a control group(472 cases) receiving traditional management(January 2024 to December 2024) and an observation group(463 cases) receiving wholeprocess management(January 2025 to December 2025) based on different management models. The two groups were compared in terms of lung cancer screening participation rate, pulmonary nodule detection rate, high-risk nodule follow-up rate, early-stage lung cancer detection rate, patient external referral rate, and health cognition and diagnosis and treatment satisfaction. Results The completion rate of low-dose spiral computed tomography(LDCT) examination, the detection rate of pulmonary nodules, and the follow-up rate of high-risk pulmonary nodules in the observation group were all higher than those in the control group(P<0.05). The observation group also demonstrated higher awareness rate of lung cancer prevention knowledge and diagnosis and treatment satisfaction than the control group(P<0.05). There was no statistically significant difference in the rates of diagnosed lung cancer, early lung cancer detection, hospital visit rate within the hospital, and referral rate to other hospitals between the two groups(P>0.05). Conclusion The wholeprocess management model for pulmonary nodules can improve screening participation among highrisk populations for lung cancer, pulmonary nodule detection rate, and highrisk nodule followup rate in the Southern Xinjiang region, while also enhancing residents' health cognition and diagnosis and treatment satisfaction.