摘要
探讨计算机断层扫描(CT)能谱技术定量参数与甲胎蛋白(AFP)、异常凝血酶原(DCP)的关系及诊断肝细胞肝癌(HCC)的效能。选取61例HCC患者(HCC组)与61例肝良性病变患者(良性组)为研究对象,比较两组动脉期和门静脉期40~140 keV单能量水平下,病灶-肝脏对比噪声比(CNR)、钙(脂肪)浓度、脂肪(钙)浓度、水碘浓度、病灶与正常肝组织碘浓度比值(LNR)、标准化碘浓度(NIC)。结果显示,动脉期两组至50 keV均具有最佳的CNR,门静脉期HCC组至70 keV具有最佳的CNR;HCC组动脉期和门静脉期钙(脂肪)浓度、LNR、NIC低于良性组,脂肪(钙)浓度高于良性组(P<0.05),各指标均与AFP、DCP显著相关(P<0.05);动脉期50 keV的CNR联合动脉期NIC诊断HCC的AUC为0.935。因此,通过CT能谱检测最佳CNR可获得最佳单能量图像,动脉期50 keV的CNR和NIC等与AFP、DCP相关,联合检测可作为诊断HCC的无创性方法。
This study investigated the relationship between the quantitative parameters of computed tomography(CT)spectroscopy technology and alpha-fetoprotein(AFP),abnormal prothrombin(des-γ-carboxyprothrombin,DCP)and the diagnostic efficiency of hepatocellular carcinoma(HCC).Sixty-one patients with HCC(HCC group)and 61 patients with benign liver lesions(benign group)were selected as the study subjects.The lesion-liver contrast noise ratio(CNR),calcium(fat)concentration,fat(calcium)concentration,water iodine concentration,lesion-to-normal hepatic tissue ratio(LNR)and normalized iodine concentration(NIC)were compared between the two groups at a single energy level of 40-140 keV in arterial phase and portal vein phase.The results showed that the arterial phase two groups had the best CNR up to 50 keV,and the portal phase HCC group had the best CNR up to 70 keV.The arterial phase and portal phase calcium(fat)concentration,LNR,and NIC of the HCC group were lower than those of the benign group.The concentration of fat(calcium)was higher than that of the benign group(P<0.05),and each index was significantly correlated with AFP and DCP(P<0.05).The AUC of the CNR of 50 keV in the arterial phase combined with the arterial NIC for the diagnosis of HCC was 0.935.Therefore,the best single-energy image can be obtained by detecting the best CNR by CT spectroscopy.The 50 keV CNR and NIC in the arterial phase are related to AFP and DCP.The combined detection can be used as a non-invasive method for diagnosing HCC.
作者
杜林
王宇
DU Lin;WANG Yu(Changchun Medical College,Changchun 130000,Jilin,P.R.China;Changchun Orthopredics Hospital,Changchun 130000,Jilin,P.R.China)
出处
《影像科学与光化学》
CAS
北大核心
2022年第2期301-305,共5页
Imaging Science and Photochemistry