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段婷, 陈婕, 夏春潮等. 磁敏感加权成像在肝细胞癌分级诊断中的价值[J]. koko体育app 学报（医学版）, 2018, 49(2): 248-251.
引用本文: 段婷, 陈婕, 夏春潮等. 磁铭感权重计算激光散斑在肝受损细胞癌分等级评估中的價值[J]. 重庆高中学报（医药学版）, 2018, 49(2): 248-251.
DUAN Ting, CHEN Jie, XIA Chun-chao. et al. Diagnostic Performance of Susceptibility-weighted Imaging in the Grading of Hepatocellular Carcinoma[J]. Journal of Sichuan University (Medical Sciences), 2018, 49(2): 248-251.
Citation: DUAN Ting, CHEN Jie, XIA Chun-chao. et al. Diagnostic Performance of Susceptibility-weighted Imaging in the Grading of Hepatocellular Carcinoma[J]. Journal of Sichuan University (Medical Sciences), 2018, 49(2): 248-251.

磁敏感加权成像在肝细胞癌分级诊断中的价值

Diagnostic Performance of Susceptibility-weighted Imaging in the Grading of Hepatocellular Carcinoma

  • 摘要: 目的探索磁敏感加权成像（SWI）的肿瘤内磁敏感信号（ITSS）在肝细胞癌病理分级诊断方面的价值。方法回顾性分析53例肝细胞癌（HCC）患者的3.0T常规磁共振图像与SWI图像。并对肿瘤进行ITSS形态学评分，计算每平方厘米的ITSS数量。比较高、低级别组的肿瘤ITSS形态学评分及每平方厘米的ITSS数量。对肿瘤ITSS形态学评分及每平方厘米的ITSS数量与肿瘤分化级别的相关性进行分析。受试者工作曲线（ROC）分析用于检测两种评价方式的诊断价值。结果低级别HCC组的ITSS形态学评分及每平方厘米ITSS数量均低于高级别组(P<0.05）。ITSS形态学评分与肿瘤分化程度相关系数为0.54（P<0.01）。每平方厘米的ITSS数量与肿瘤分化级别相关系数为0.38（P<0.01）。ITSS形态学评分鉴别高、低级别HCC的曲线下面积为0.81(P<0.01)，评分等于2时灵敏度、特异度分别为76%和88%。每平方厘米ITSS数划分高、低级别HCC的ROC曲线下面积为0.70（P=0.01），其值为0.58时灵敏度、特异度分别为65%和79%。结论SWI的ITSS在鉴别高、低分化的HCC方面有一定潜力。  
    Abstract: ObjectiveTo test the capability of intratumoral susceptibility signal intensity (ITSS) in the differentiation of hepatocellular carcinoma (HCC) grades. MethodsRetrospective reviews of 53 patients with pathologically proven HCCs were performed. All patients underwent both conventional MRI and SWI examinations. The morphological score of ITSS and the number of ITSS per square centimeter were calculated, then compared among low-grade and high-grade HCCs. Spearman correlation coefficients were determined between the morphological scores of ITSS, the number of ITSS per square centimeter and HCC grades. Receiver operating characteristic (ROC) curve analysiss was performed to determine the diagnostic accuracy for HCC differentiation. ResultsThe morphological scores of ITSS and the number of ITSS per square centimeter in low-grade HCCs were significantly lower than that in the high-grade HCCs (P<0.05). Spearman correlation coefficient between morphological scores of ITSS and HCC grade was 0.54 (P<0.01), and that between the number of ITSS per square centimeter and HCC grade was 0.38 (P<0.01). In the ROC curve analysis of morphological scores, the AUC was 0.81 (P<0.01) and the optimal sensitivity and specificity were 76%, and 88% respectively with a cut-off of 2. In the ROC curve analysis of the number of ITSS per square centimeter, the area under curve (AUC) was 0.70 (P=0.01) and the optimal sensitivity and specificity were 65%, and 79% respectively with a cut-off of 0.58. ConclusionITSS of SWI had the potential to differentiate HCC grades.  
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