Value of MR histogram analyses for prediction of microvascular invasion of hepatocellular carcinoma.
Value of MR histogram analyses for prediction of microvascular invasion of hepatocellular carcinoma.
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DOI：
10.1097/md.0000000000004034
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发表时间：
2016-06
期刊：
影响因子：
1.6
通讯作者：
Rao SX
中科院分区：
文献类型：
--
作者：
Huang YQ;Liang HY;Yang ZX;Ding Y;Zeng MS;Rao SX
目的是探讨术前磁共振（MR）直方图分析在预测肝细胞癌（HCC）微血管侵袭（MVI）中的价值。51例组织学证实的HCC患者接受了弥散加权和增强磁共振成像。进行直方图分析，得出平均值、方差、偏度、峰度、第1、第10、第50、第90和第99百分位。定量直方图参数比较有和无MVI的hcc。生成受试者工作特征（ROC）分析，比较肿瘤大小、表观扩散系数（ADC）图直方图分析和MR增强的诊断性能。ADC图的平均值、第1、第10和第50百分位，以及平均值、方差。门静脉相（PVP）影像第1、10、50、90、99百分位在MVI组与未MVI组间差异有统计学意义（P <0.05）， ADC组ROC曲线下面积（auc）为0.66 ~ 0.74，PVP组为0.76 ~ 0.88。PVP的最大AUC（第1百分位）与动脉期（AP）或肿瘤大小的准确度相比有显著性提高（P <0.001）。MR直方图分析——特别是PVP图像的第1百分位——有望预测HCC的MVI。
The objective is to explore the value of preoperative magnetic resonance (MR) histogram analyses in predicting microvascular invasion (MVI) of hepatocellular carcinoma (HCC). Fifty-one patients with histologically confirmed HCC who underwent diffusion-weighted and contrast-enhanced MR imaging were included. Histogram analyses were performed and mean, variance, skewness, kurtosis, 1th, 10th, 50th, 90th, and 99th percentiles were derived. Quantitative histogram parameters were compared between HCCs with and without MVI. Receiver operating characteristics (ROC) analyses were generated to compare the diagnostic performance of tumor size, histogram analyses of apparent diffusion coefficient (ADC) maps, and MR enhancement. The mean, 1th, 10th, and 50th percentiles of ADC maps, and the mean, variance. 1th, 10th, 50th, 90th, and 99th percentiles of the portal venous phase (PVP) images were significantly different between the groups with and without MVI (P <0.05), with area under the ROC curves (AUCs) of 0.66 to 0.74 for ADC and 0.76 to 0.88 for PVP. The largest AUC of PVP (1th percentile) showed significantly higher accuracy compared with that of arterial phase (AP) or tumor size (P <0.001). MR histogram analyses—in particular for 1th percentile for PVP images—held promise for prediction of MVI of HCC.