摘要
目的 探讨CT定量参数鉴别诊断肝局灶性结节性增生(FNH)与肝细胞癌(HCC)的价值.方法 2017 年8 月～2022 年8 月我院诊治的HCC患者51 例和同期就诊的FNH患者41 例,均接受病理学检查及CT平扫和灌注增强扫描,记录两组CT定量参数肝血容量(HBV)、肝血流量(HBF)、肝动脉灌注量(HAP)、门静脉灌注量(PVP)、总肝灌注量(TLP)、肝动脉灌注指数(HPI)和平均通过时间(mTT).应用ROC曲线评估CT参数诊断HCC的价值,一致性分析采用Kappa检验.结果 HCC组HBV、HBF和PVP水平分别为(31.9±10.1)mL/100mL、(204.7±66.3)mL/(100mL·min)和(22.8±6.4)mL/(100mL·min),均显著高于FNH组[分别为(21.4±6.8)mL/100mL、(115.7±33.9)mL/(100mL·min)和(9.2±3.0)mL/(100mL·min),P<0.05],而 HAP、HPI 和 mTT 水平分别为(42.8±12.7)mL/(100mL·min)、(64.1±10.7)%和(5.3±1.5)s,均显著低于FNH组[分别为(61.8±20.4)mL/(100mL·min)、(87.5±6.1)%和(8.2±2.4)s,P<0.05];经ROC分析发现,应用CT参数HBV、HBF、HAP、PVP、HPI和mTT能够诊断HCC,其曲线下面积(AUC)分别为0.787、0.951、0.811、0.915、0.949 和0.841(均P<0.05);经一致性分析,HBV、HBF、HAP、PVP、HPI和mTT联合诊断HCC的灵敏度为0.941,特异度为 0.976,准确率为 0.957,Kappa=0.912.结论 应用CT扫描参数可帮助鉴别诊断FNH与HCC,在临床上有很大的实用价值.
Abstract
Objective The aim of this study was to investigate the performance of CT quantitative parameters in the differential diagnosis of focal nodular hyperplasia(FNH)and hepatocellular carcinoma(HCC).Methods Fifty-one patients with HCC and forty-one patients with FNH were encountered in our hospital between August 2017 and August 2022,and the diagnosis was proved by histo-pathological examination.All patients underwent CT plain scan and perfusion scan,and the CT quantitative parameters,including hepatic blood volume(HBV),hepatic blood flow(HBF),hepatic artery perfusion(HAP),portal vein perfusion(PVP),total liver perfusion(TLP),hepatic artery perfusion index(HPI)and mean transit time(mTT),were recorded.The diagnostic efficacy was analyzed by ROC curve,and the diagnostic accuracy was analyzed by Kappa consistency.Results The HBV,HBF and PVP in cancerous foci were(31.9±10.1)mL/100mL,(204.7±66.3)mL/(100mL·min)and(22.8±6.4)mL/(100mL·min),all significantly higher than[(21.4±6.8)mL/100mL,(115.7±33.9)mL/(100mL·min)and(9.2±3.0)mL/(100mL·min),P<0.05],while the HAP,HPI and mTT were(42.8±12.7)mL/(100mL·min),(64.1±10.7)%and(5.3±1.5)s,all significantly lower than[(61.8±20.4)mL/(100mL·min),(87.5±6.1)%and(8.2±2.4)s,respectively,P<0.05]in foci of FNH;the ROC analysis showed that the AUCs were 0.787,0.951,0.811,0.915,0.949 and 0.841(all P<0.05),when the HBV,HBF,HAP,PVP,HPI and mTT were applied to predict HCC;the Kappa consistency demonstrated that the sensitivity,specificity and accuracy were 0.941,0.976 and 0.957(Kappa=0.912)when the combination of HBV,HBF,HAP,PVP,HPI and mTT was applied for the diagnosis of HCC.Conclusion The differentiating diagnosis of HCC from FNH by CT quantitative parameters is efficacious,which might greatly help appropriate management in clinical practice.
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