1.The diagnostic value of MSCT's post-processing techniques in small peripheral lung cancer
Qiaohuan YAN ; Yinggang LV ; Junhui BAO ; Baowei LI ; Gaofeng SHI
Chinese Journal of Primary Medicine and Pharmacy 2009;16(9):1560-1561
Objective To evaluate the value of post-processing techniquos of multi-slice spiral CT(MSCT) in diagnosis of small peripheral lung cancer. Methods 36 patients with small peripheral lung cancer(≤20mm in di-ameter) who had been proved by pathology were eoueeted. After MSCT scanning ,3D reconstruction images were made by MPR,SSD and VR,then compared with axial thin-slice images. Results The sensitivity of MPR on vascularnotch sign,lobulation and spiculated sign was higher than that of axial thin-slice images. The sensitivity of SSD on peural sign was higher than that of axial thin-slice images. The sensitivity of VR on vascularnotch sign and lobulation was higher than that of axial thin-slice images. Conclusion The post-processing techniques of MSCT have high value on diagnosis of small peripheral lung cancer. More information could be collected when many kinds of post-processing techniques were used.
2.Multiparametric magnetic resonance diagnosis of urothelial carcinoma of bladder
YaXiang WANG ; LiYing BAI ; TianLong ZHU ; RongQiang ZHANG ; YingGang LV
The Journal of Practical Medicine 2018;34(3):419-423
Objective To investigate the multiparametric magnetic resonance technique in diagnosis of bladder urothelial carcinoma. Methods The clinical data of 80 patients with urinary tract disease who were treat-ed in the Department of Urology in our hospital from October 2016 to March 2017 were analyzed.The patients were divided into two groups:the tumor group(39 patients with bladder cancer)and the control group(41 patients with the remaining bladder disease).The basic information of two groups and pathological diagnosis results were record-ed and analyzed. Multivariate logistic regression analysis was performed to screen out the statistical significance of the diagnosis of bladder cancer. The ROC curve was applied to determine the best diagnostic point. Results The multivariate analysis showed that UBC level(P=0.039),NMP22(P=0.038)and ADC(P=0.028)have signifi-cance in diagnosis of bladder cancer. Pearson analysis showed that there was a significant correlation between the ADC value and the NMP22(r = 0.333,P = 0.038). The ROC curve shows that the ADC area under the ROC curve was 0.750. The diagnostic sensitivity of ADC value was 0.9750 × 10-3mm2/s;The diagnostic sensitivity was 73.2% and specificity was 69.2%. Conclusion Multiparametric magnetic resonance imaging is of great value in the diagnosis of bladder cancer.