| ObjectiveCurrently, lung cancer is one of the highest cancer mortality in China, with the development of modern medical technology, the detection rate of lung cancer increased significantly, but most have been advanced cancer, missed the best opportunity to surgery. Lung Ground glass opacity(GGO), closely associated with lung cancer in the early, it is particularly important to estimate character of the GGO in the early. Multislice CT imaging characteristics of GGO in the lung and clinical data (the patients’age, weight)were analyzed in our study, comprehensive analysis of ground glass nodular of lung imaging manifestations and clinical features of patients with information about its benign and malignant lesions in the judgment of the value.This study provides evidence for the early diagnosis and treatment of pulmonary malignant lesions, and has a certain significance for improving the prognosis of lesions.Materials and methodsBy analyzing the lung GGO patient’s data collecting from the CT department of Yancheng First Hospital ranging from 2013.3-2015.6, and combine with clinical diagnose, we filtered all the patients and finally confirmed 50 GGO cases who satisfied our requirements, and 4 of them were multiple nodules, so there were 56 GGO in whole. There were 18 male cases and 32 female cases, and the ratio of male vs female was 1:1.8, the age range from 23 to 74, so average age were 51.84+10.92. All of the patients were checked by 64 spiral CT, scanning region from lung top to lung bottom, and the two sides included Chest wall and armpit, all patients were trained breathing practice(deep inhale to the most range and hold breath). The scanning parameter were 120kVp and 180 mAs.We maked use of PACS for observing the imaging, which included measurement for nidus’size and nidus’density as well, then we observed the biological behaviour of GGO’s size, shape, edge, density and distribution which all perhaps in relationship with GGO’s property. And we collecting patient’s age, weight, inhabit place and clinical material and study their relation with GGO. We used SPSS 19.0 for analyzing the data. The imaging findings of lesions mainly used chi-square test, the clinical data of lesions used nonparametric independent sample t test and chi-square test. Multiple factors Logistic regression analysis were used in those single factor analysis statistically significant variables.ResultsOf all the 50 of the lung GGO cases, there were 19 cases(38%) were benign and the other 31(62%) cases were malignant.25 of the whole samples were confirmed by surgery and pathological, and 6 of them were unrepresentative adenoidal hyperplasia. There were 23 benign samples of all the 56 GGO and rest of the 33 were malignant. Most of GGO we checked have a regular shape of oval or circle(benign 14 and malignant 23), the rest of them didn’t have the characteristic of that(benign 9 and malignant 10),16 of them didn’t have smooth edge(benign 3 and malignant 13) and 28 of them mix with GGO(benign 6 and malignant 22). Average age of lung GGO patient was 54.71±8.83, it is higher than general cancer patient of 47.15±12.81. And we also found that patient who lived in rural have higher malignant rate than those lived in city. We can conclude that lung GGO nidus’s smooth edge, internal intensity’s well-distributed and spiculation have close relationship with it. On the other hand, patients’ gender, weight, and the nidus’ size, shape and distribute in two lobes have limited value for diagnose.ConclusionPatients age, place of residence, MDCT GGO distribution, MDCT GGO boundary, the density of the internal and peripheral vascular cluster character are helpful to the differential diagnosis of preoperative pulmonary GGO of benign, malignant lesions. These are very necessary that focusing on the environment and checkup CT examination for those older than 45 years each year. |
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