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单独及联合使用体素内不相干运动和甲胎蛋白水平评估乙型肝炎病毒相关肝细胞癌的组织学分化

Evaluating histologic differentiation of hepatitis B virus-related hepatocellular carcinoma using intravoxel incoherent motion and AFP levels alone and in combination.

作者信息

Shan Qungang, Chen Jingbiao, Zhang Tianhui, Yan Ronghua, Wu Jun, Shu Yunhong, Kang Zhuang, He Bingjun, Zhang Zhongping, Wang Jin

机构信息

Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou, 510630, People's Republic of China.

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

出版信息

Abdom Radiol (NY). 2017 Aug;42(8):2079-2088. doi: 10.1007/s00261-017-1107-6.

Abstract

PURPOSE

To evaluate histologic differentiation of hepatitis B virus (HBV)-related hepatocellular carcinomas (HCCs) using apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM)-derived metrics and to compare findings with alpha-fetoprotein (AFP) levels alone and in combination.

MATERIALS AND METHOD

One hundred and six chronic HBV-related HCC patients who underwent IVIM diffusion-weighted magnetic resonance imaging with eleven b values were enrolled. Mean ADC, diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) values were determined for all detected lesions. The metrics and AFP levels of different histologically differentiated groups were compared. Spearman's rank correlation was used to assess the statistical dependence among the histologically differentiated HCCs. Receiver operating characteristic (ROC) analysis was performed to evaluate diagnostic performance of these metrics and AFP levels alone and in combination.

RESULTS

ADC, D, and f values and AFP levels were significantly different among well-, moderately, and poorly differentiated HCCs. The four metrics were significantly correlated with histologic differentiation. The area under the ROC curve (AUC-ROC) of ADC, D, f, and AFP for diagnosing well-differentiated HCCs was 0.903, 0.84, 0.782, and 0.806, respectively, and the AUC-ROC of above metrics for diagnosing poorly differentiated HCCs was 0.787, 0.726, 0.624, and 0.633, respectively. The combination of ADC and AFP provided an AUC-ROC of 0.945 for well-differentiated HCC. However, this did not provide better performance for diagnosing poorly differentiated HCC.

CONCLUSION

ADC, IVIM metrics, and AFP levels may be useful for evaluating histologic differentiation of HBV-related HCCs, and the combination of ADC and AFP provides better diagnostic performance for well-differentiated HCC.

摘要

目的

利用表观扩散系数(ADC)和体素内不相干运动(IVIM)衍生指标评估乙型肝炎病毒(HBV)相关肝细胞癌(HCC)的组织学分化情况,并将结果与单独及联合甲胎蛋白(AFP)水平进行比较。

材料与方法

纳入106例接受了具有11个b值的IVIM扩散加权磁共振成像检查的慢性HBV相关HCC患者。测定所有检测到的病灶的平均ADC、扩散系数(D)、伪扩散系数(D*)和灌注分数(f)值。比较不同组织学分化组的指标和AFP水平。采用Spearman等级相关分析评估组织学分化的HCC之间的统计相关性。进行受试者操作特征(ROC)分析以评估这些指标单独及联合AFP水平的诊断性能。

结果

在高分化、中分化和低分化HCC中,ADC、D、f值及AFP水平存在显著差异。这四个指标与组织学分化显著相关。ADC、D、f和AFP诊断高分化HCC的ROC曲线下面积(AUC-ROC)分别为0.903、0.84、0.782和0.806,上述指标诊断低分化HCC的AUC-ROC分别为0.787、0.726、0.62和0.633。ADC和AFP联合诊断高分化HCC的AUC-ROC为0.945。然而,这对于诊断低分化HCC并没有提供更好的性能。

结论

ADC、IVIM指标和AFP水平可能有助于评估HBV相关HCC的组织学分化,且ADC和AFP联合对高分化HCC具有更好的诊断性能。

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