Objective To analyze the computed tomography (CT) imaging findings of 64 cases of peripheral lung cancer. Methods 64 patients with peripheral lung cancer diagnosed by postoperative pathological examination were enrolled in the study. The data of clinical diagnosis and treatment were analyzed retrospectively, and CT imaging findings were summarized. Results Lesions were distributed in right lungs (superior lobes of 29 cases, middle lobes of 5 cases, inferior lobes of 9 cases) of 43 cases (67.19%) and left lungs (superior lobes of 10 cases, middle lobes of 7 cases, inferior lobes of 4 cases) of 21 cases (32.81%). The size of the lesion was (6.52±0.68)cm×(3.17±0.34)cm. Morphological characteristics included irregular patchy shadow in 23 cases (35.94%) and round and quasi-circular shadow in 41 cases (64.06%). Marginal classification showed that the margin was smooth and tidy in 6 cases (9.37%) and not smooth, tidy or clear in 58 cases (90.63%) (21 cases of spicule signs, 27 cases of lobulation signs, 10 cases of bubble signs). Density classification included parenchyma high density shadow in 26 cases (40.62%), low density shadow in 27 case (42.19%) and inhomogeneous density in 11 cases (17.19%). There were 25 cases (39.06%) of ground glass like nodules, 12 cases (18.75%) of honeycomb like nodules, 18 cases (28.13%) of vacuolar sign like nodules and 9 cases (14.06%) of soft tissue density nodules. The classification of relationship between the lesion and adjacent tissues showed sulcus signs in 36 cases (56.25%) and vessel convergence signs in 28 cases (43.75%). Conclusion Understanding CT imaging findings of peripheral lung cancer and analyzing the image data can provide an important basis for early diagnosis and timely treatment of patients, which is of positive significance for prolonging the survival time.