Objective To evaluate the correlation between thin-section CT morphologic features and pathological vascular invasion in the clinical stage IA peripheral lung adenocarcinoma. Methods The preoperative thin-section CT images, clinical and pathological characteristics of 102 nodules in 98 patients were retrospectively analyzed and divided into two groups according to pathological vascular invasion. Variables including the diameter of tumor(T) and consolidation part (C) in the mix ground glass nodule(mGGN), C/T ratio, morphology and pathological classification were analyzed by two-independent samples Mann-Whitney U test or t test and χ2 test or Fisher exact probability test. Variables with significant difference in the univariate analyses were entered into multivariate analysis to explore predictors for vascular invasion.The correlation between these measurements and vascular invasion was evaluated by a ROC analysis. Results All of 102 nodules,36 had pathological vascular invasion and 66 without.The numbers of two groups with speculation, air bronchogram,abnormal vein,vascular convergence, pleural indentation were 30,30;26,26;35,3;35,39;32,39 and the mediandiameter of tumors were 2.1(1.0–3.0), 1.2(0.5–3.0) cm respectively. By univariateanalysis,spiculation, air bronchogram, abnormal vein, vascular convergence, pleural indentation, and diameter of tumor were significantly associated with pathological vascularinvasion(P<0.01).By multivariate logistic analysis, the statistically significant difference were found in speculation and abnormal vein(OR=33.867,8 161.063,P<0.05).The ROC analysis showed the area under curve, cut-off value, sensitivity and specificity ofthe diameter of tumor and consolidation part of mGGN and C/T ratio were 0.784, 2.05 cm, 66.7%, 78.8%; 0.886,1.08 cm, 82.4%, 90.0% and 0.861, 0.65, 79.4%, 85.0% respectively in differentiating tumors with pathological vascular invasion. Conclusion The spiculation sign and abnormal vein are independent predictors for vascular invasion in stage IA peripheral lung adenocarcinoma. Key words: Lung neoplasms; Adenocarcinoma; Tomography, X-ray computed