Study on the value of immune cell counts combined with CT imaging features in identifying the nature of non-calcified solid solitary pulmonary nodules
Objective To analyze the value of immune cell counts combined with CT imaging features in identifying the nature of non-calcified solid solitary pulmonary nodules.Methods A total of 100 patients with non-calcified solid solitary pulmonary nodules diagnosed and treated in this hospital from January 2022 to June 2024 were selected,including 48 in the benign group and 52 in the malignant group.Clinical data,CT im-aging features,and immune cell counts were compared in two groups.A multivariate logistic regression model was used to analyze and identify influencing factors,and a receiver operating characteristic curve was plotted to calculate the area under the curve(AUC)to assess the diagnostic performance of different models with select-ed variables.Results Univariate analysis showed that compaired with benign group,the CT manifestations of nodules in the malignant group had rough edges,with higher proportions of vacuoles,lobulation,spiculation,pleural indentation,and vascular convergence signs,and a lower proportion of satellite lesions,the differences were statistically significant(P＜0.05).The total lymphocyte count,CD3+T,and CD4+T lymphocyte counts in the malignant group were lower than those in the benign group,with statistically significant differences(P＜0.05).CD3+T was positively correlated with CD4+T[correlation coefficient(r)=0.745,P＜0.001]and CD8+T(r=0.734,P＜0.001).Decreased CD3+T and CD4+T lymphocyte counts,as well as CT imaging features such as rough edges,vacuoles,lobulation,and pleural indentation,were independent influencing fac-tors for malignancy in non-calcified solitary pulmonary nodules(P＜0.05).The AUC for CD3+T combined with CT imaging features was 0.845,and the AUC for CD4+T combined with CT imaging features was 0.862.There were no statistically significant differences in AUC,sensitivity,and specificity between the two models(P＞0.05).Conclusion Immune cell counts combined with CT imaging features can effectively iden-tify the nature of non-calcified solid solitary pulmonary nodules and have clinical application value.Nodules with lower CD3+T and CD4+T lymphocyte counts and CT imaging features such as rough edges,vacuoles,lobulation,and pleural indentation are more likely to be malignant.
万方数据
维普
