摘要
Abstract
Objective To investigate the correlation of pathologic grading with CT value in renal clear cell carcinoma ( RCCC) , and build predictive mathematical model of pathological grade. Methods There were 94 cases of RCCC included in the study. All of RCCC patients underwent urinary system CT scan. After recording tumor size, shape, pseudocap-sule, hemorrhage and necrosis, the clinical features, CT findings and pathological results were statistically analyzed by u-sing Fishers test. Results Pathologic grading was related to the mean CT value, CT value standard deviation, maximum CT value , CT value median, maximum diameter of the tumor, minimum diameter of the tumor, tumor shape, capsule, symptoms of hematuria and lumbago (all P < 0. 05). The chief factors were the shortest diameter of tumor, existence of pseudocapsule and standard deviation of CT values (all P <0. 01 ). Fisher's method were used to develop the discriminant function; y =0. 172 x intratumoral short diameter + 1. 093 x tumor pseudocapsule +0. 015 x the mean of CT value +0. 088 x standard deviation of CT value +0. 184 x tumor sharp-2. 929 , criterion y = ( -0.427 + 1.058)/2 =0. 30. Judging accuracy, sensitivity and specificity is 77.7% , 74. 1% and 79. 1% , respecitively. Conclusions CT value and performance of RCCC is closely related to its pathologic grading. The chief factors involved the shortest diameter of tumor, the existence of pseudocapsule and CT value( standard deviation). According to the calculation based on discriminant function, if y < 0. 30, the tumor differentiation is good; if y > 0. 30, the tumor differentiation is poorly.
关键词
肾细胞癌/透明细胞癌/X线计算机体层摄影Key words
renal cell carcinoma/ clear cell carcinoma/ X-ray computed/ pathologic grading分类
医药卫生
