Control Study Of Dynamic Enhancement CT And ¹⁸F-FDG PET-CT About The Pathology Types Of Lung Cancer

ObjectiveThe purpose of this study is to investigate the findings and enhancement characteristics of lung cancer with different pathology types under dynamic enhancement CT scans, to study the relationship of SUVmax between the tumor sizes and pathology types, and to analyze the correlation of them. Materials and methods71 lung cancer cases which comply with the inclusion criteria are selected and conducted with dynamic enhancement CT scans. They are divided into 3 groups according to the pathology type. The sublobe sign, sentus sign and enhancement values are noted.45 lung cancer cases who comply with the inclusion criteria are selected and conducted with (18)~F-FDG PET-CT scans. Size and SUVmax of the tumors are noted.ResultsThere are 34 cases whose pathology type are squamous carcinoma, 25 cases whose pathology type are adeno carcinoma, 9 cases whose pathology type are small cell carcinoma, 2 cases whose pathology type are large cell carcinoma, and 1 case whose pathology type is carcinoid. They all conducted with dynamic enhancement CT scans with plain scan, and at 30s, 60s, 90s, and 120s after constrast medium injection. One-factor analysis of variance shows there are statistical significances among the dynamic enhancement types of different pathology types (p<0.05) at 90s. The PH of small cell carcinoma is obviously higher than that of the other two groups. The sublobe sign usually occurs in squamous carcinoma(70.6%), and the sentus sign usually occurs in adeno carcinoma(68.0%).There are 45 cases in the PET-CT scan group. They are divided into 3 groups according to the primary tumors'maximum diameters. One-factor analysis of variance shows there are obvious differences among those 3 groups (p=0.030). If the pathology type is as the control variance, the partial correlation analysis shows that there is significant correlation of SUV with the nidus size (r=0.489, p=0.001).Then 45 cases are divided according to the pathology type. One-factor analysis of variance shows there are statistical significance between squamous carcinoma and adeno carcinoma (p=0.012). Multiple regression analysis shows the correlation between diameter and SUVmax is much higher than that between pathology type and SUVmax.ConclusionsThere are different characteristics in lung cancet with different pathology types . Dynamic enhancement CT scan can discriminate small cell carcinoma. SUVmax of squamous carcinoma is obviously higher than that of adeno carcinoma. There is obvious positive correlation between SUVmax and nidus size. The contribution to SUVmax from nidus size is much larger than that from pathology type.