Comparative analysis of the CT,clinical,and pathological features of patients with invasive lung adenocarcinoma positive and negative for spread through air spaces
Objective To investigate the correlations of computed tomography(CT),clinical,and pathological features in patients with invasive lung adenocarcinoma positive and negative for spread through air spaces(STAS).Methods A total of 236 patients with invasive lung adenocarcinoma confirmed by surgery and pathology were selected,including 118 pa-tients in STAS-positive group and 118 patients in STAS-negative group.The clinical data,CT signs,and pathological fea-tures of the two groups were collected and analyzed.Results There was a correlation between age and the occurrence of STAS.The age of the positive group was higher than that of the negative group.Smoking history and family history of tu-mor had no correlation with the occurrence of STAS.CT features signs such as nodule type and shape,tumor-lung interface,lobulation sign,spiculation sign,vacuole/cavity,air-bronchogram,pleural indentation sign,vascular changes,mean diameter of tumor,mean diameter of solid component,and the percentage of tumor solid components were significantly different between patients with and without STAS.The incidence of STAS in patients with solid nodules and partial solid nodules was significantly higher than that in patients with ground glass nodules.Multivariate analysis showed that the percentage of tu-mor solid components,air-bronchogram sign,lobulation sign,and tumor-lung interface were independent risk factors for pre-dicting the occurrence of STAS.Conclusion The clinical data and CT signs of patients with invasive lung adenocar-cinoma are related to the occurrence of STAS.CT signs such as the percentage of tumor solid components,air-bronchogram,lobulation sign,and tumor-lung interface are of great significance to STAS prediction.Our findings provide an important basis for selection of personalized clinical treatment plans.
Invasive lung adenocarcinomaSpread through air spacesX-ray computed tomography technologyPathology
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NSTL
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