1.Evaluation of the relationships between pulmonary ground-glass nodules and bronchi and blood vessels using high-resolution CT target scanning technology and their diagnostic values for infiltrative lesions
Jingfang ZHANG ; Yibing DU ; Limin ZHANG ; Guangjing LI ; Saili ZHU ; Shuo ZHANG ; Peili PENG
Journal of Practical Radiology 2024;40(10):1611-1614
Objective To analyze the relationships between pulmonary ground-glass nodules(GGN)and bronchi and blood vessels and their diagnostic values for infiltrative lesions based on high-resolution computed tomography(HRCT)target scanning technology.Methods Patients with GGN detected by HRCT target scanning and complete pathological results were retrospectively selected as the research subjects.The relationships between GGN and bronchi and blood vessels in patients with different pathological types were analyzed,and the relationships for detecting infiltrative lesions were further analyzed,using pathological results as the gold standard.Results Three hundred patients were divided into 237 cases of pre-invasive lesions and 63 cases of infiltrative lesions according to pathological results.There were statistically significant differences in lesion properties and lesion morphology in patients with different types of GGN(P<0.05).There were statistically significant differences in the relationships between GGN and bronchi and blood vessels in the pre-invasive lesions and the infiltrative lesions(P<0.05).Based on the pathological results as the gold standard,the sensitivity of HRCT bronchial classification,vascular classification,and their combined detection of infiltrative lesions were 84.13%(53/63),95.24%(60/63),and 95.24%(60/63);specificity were 83.12%(197/237),87.34%(207/237),and 87.34%(207/237);accuracy were 83.33%(250/300),89.00%(267/300),and 89.00%(267/300).Conclusion Evaluating the classification of pulmonary GGN and bronchi and blood vessels by HRCT target scanning technology has good value in identifying infiltrative lesions.The combined diagnosis of the two signs can further improve the accuracy of detection.