Objective To explore the CT imaging features and independent risk factors for cystic pulmonary nodules and establish a malignant probability prediction model. Methods The patients with cystic pulmonary nodules admitted to the Department of Thoracic Surgery of the First People&#39;s Hospital of Neijiang from January 2017 to February 2022 were retrospectively enrolled. They were divided into a malignant group and a benign group according to the pathological results. The clinical data and preoperative chest CT imaging features of the two groups were collected, and the independent risk factors for malignant cystic pulmonary nodules were screened out by logistic regression analysis, so as to establish a prediction model for benign and malignant cystic pulmonary nodules. Results A total of 107 patients were enrolled. There were 76 patients in the malignant group, including 36 males and 40 females, with an average age of 59.65±11.74 years. There were 31 patients in the benign group, including 16 males and 15 females, with an average age of 58.96±13.91 years. Multivariate logistic analysis showed that the special CT imaging features such as cystic wall nodules [OR=3.538, 95%CI (1.231, 10.164), P=0.019], short burrs [OR=4.106, 95%CI (1.454, 11.598), P=0.008], cystic wall morphology [OR=6.978, 95%CI (2.374, 20.505), P<0.001], and the number of cysts [OR=4.179, 95%CI (1.438, 12.146), P=0.009] were independent risk factors for cystic lung cancer. A prediction model was established: P=ex/(1+ex), X=–2.453+1.264×cystic wall nodules+1.412×short burrs+1.943×cystic wall morphology+1.430×the number of cysts. The area under the receiver operating charateristic curve was 0.830, the sensitivity was 82.9%, and the specificity was 74.2%. Conclusion Cystic wall nodules, short burrs, cystic wall morphology, and the number of cysts are the independent risk factors for cystic lung cancer, and the established prediction model can be used as a screening method for cystic pulmonary nodules.

Objective To understand the basic information on radiological health technical service institutions in Shaanxi Province, China and analyze the main problems, and to strengthen the capacity building of radiological health technical service institutions in Shaanxi Province. Methods The radiological health technical service institutions registered in Shaanxi Province were investigated and analyzed by means of a questionnaire and literature review. Results There were 20 radiological health technical service institutions in Shaanxi Province, including 7 state-owned ones and 13 privately owned ones; of all the institutions, there were 3 disease control institutions, and 15 institutions obtaining the qualification of radiation protection evaluation, radiation health protection testing, and individual dose monitoring at the same time. The total number of radiation workers in the institution was 237, including 48.5% aged less than 35, 68.8% with bachelor degree or above, 54.4% with intermediate professional title or above, 26.5% with a major related to radiation protection, and 79.3% with national and provincial training. The institutions were equipped with 309 testing instruments, of which the radiation diagnostic performance testing equipment accounted for the largest proportion (52.4%). Conclusion The service scope and capacity of radiological health technical service institutions in Shaanxi Province can meet the current needs of the province, but the institutions need to be improved in terms of personnel, equipment, and service quality. The quality control of institutions needs to be strengthened to standardize the service behavior in the whole province.