To investigate the correlation between the imaging features of lung ground glass nodules (GGN) and the new classification of lung adenocarcinoma under high-resolution CT, and to evaluate the predictive value of GGN under high-resolution CT on postoperative pathological types.

Retrospectively analyzed the clinical data of 83 patients who underwent thoracoscopic lobectomy, lung segment, and wedge wedge resection at the Department of Thoracic Surgery, Our Hospital from January 2017 to December 2019, and were followed up for 6 months. Cancer (AIS) and atypical neoplasia (AAH), microinfiltrating adenocarcinoma (MIA), infiltrating adenocarcinoma (IAC), the number of nodules, lesion location, morphology, internal lesions, and vascular characteristics of patients with different classifications And the surrounding signs, average size, average CT value, maximum CT value were analyzed. Binary logistic regression was used to analyze quantitative data and qualitative data, and the predicted probability values were saved to obtain the sensitivity, specificity and critical value between groups.

The differences in the average size, average CT value, maximum CT value, volume, and mass between the three groups were statistically significant (P<0.05), and the average size, volume, and mass of the IAC group were significantly larger than those of the AAH, AIS, and MIA groups, and the average CT value The maximum CT value was significantly smaller than the AAH, AIS and MIA groups (P<0.05). There was no significant difference in tumor lung interface and focus morphology among the three groups (P>0.05), but there was significant difference in edge, internal signs of lesions, vascular and peripheral signs (P<0.05), and the edge, internal signs of lesions, vascular and peripheral signs of GGN in IAC group were larger than those in the other two groups (P<0.05). The risk factors for AAH, AIS, and MIA grouping are average size, average CT value, and glitch sign. The area under the curve, sensitivity, specificity, and critical value obtained by MIA are (0.890, 0.925, 0.775, 0.280); MIA and IAC. The risk factors for grouping included the average size, average CT value, maximum CT value, and pleural depression. The area under the curve, sensitivity, specificity, and critical value obtained by IAC were (0.940, 0.899, 0.965, 0.690). All 83 patients were followed up for 6 months after operation. None of the 11 non-adenocarcinoma patients relapsed, while 9 (12.50%) of 72 lung adenocarcinoma patients relapsed and 1 (1.39%) died.

The CT features and quantitative data analysis of GGN were used to predict the pathological classification of GGN lung adenocarcinoma.