Abstract：Objective To evaluate the value of perfusion parameters in pathological grading of Renal clear cell carcinoma with
640-slice volume computer tomography double low dose perfusion imaging. Methods The 640-slice volume computer tomography
double low dose perfusion imaging was retrospectively analyzed in 53 patients with pathologically proven Renal clear
cell carcinoma(RCC). Scan data included 24 packets and all packets were analyzed with Patlak and the maximum slope
software, the equivalent blood volume (Equiv BV) and permeability surface (PS) and blood flow (BF) were obtained. A bolus
of 48 mL contrast agent ( Iopamidol, 370 mgI/mL) , followed by 30 mL saline at a flow rate of 6 mL/sec. According to pathological
grading (Fuhrman classification), 53 patients were divided into I grade 8 cases, II grade 22 cases, III grade 15 cases, IV grade
8 cases. The differences of tumor perfusion values (Equiv BV, BF, PS) in different pathological grades were compared, and the
ROC curve to evaluate the diagnostic efficiency was used. Results There was a significant negative correlation between tumor
Equiv BV, PS, BF and pathological grading (P<0.05). Except the Ps value in grade I and II, the Equiv BV and BF values in grade
III and IV, there were significant differences between any two grades (P<0.05). The diagnostic value of Ps was the highest for pathological
grade, AUC was 0.829, the critical value was 37.35 (mL·100g-1·min-1), sensitivity was 80.0%, specificity was 78.0%. Conclusion The
640-slice volume computer tomography double low dose perfusion imaging can be used as a new quantitative method for
predicting the preoperative classification of Renal clear cell carc inoma, and has a high clinical value.
齐燕，刘玉品，黄汝杭，李松娜，黄丽霞，李龙，张立军，冷蓉. 640层容积CT双低剂量肾透明细胞癌动态灌注成像的应用[J]. 中国医疗设备, 2019, 34(5): 73-76.
QI Yan, LIU Yupin, HUANG Ruhang, LI Songna, HUANG Lixia, LI Long, ZHANG Lijun, LENG Rong. Application of Double Low Dose and Dynamic Perfusion Imaging in the Diagnosis of Renal
Clear Cell Carcinoma with 640-Slice Volume CT. China Medical Devices, 2019, 34(5): 73-76.
