Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model.
Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model.
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使用自适应多指数体素内不相干运动模型确定肝细胞癌和表征肝病灶
DOI：
10.1016/j.tranon.2018.08.011
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发表时间：
2018-12
影响因子：
5
通讯作者：
Zhu YM
中科院分区：
文献类型：
--
作者：
Zhang HX;Zhang XS;Kuai ZX;Zhou Y;Sun YF;Ba ZC;He KB;Sang XQ;Yao YF;Chu CY;Zhu YM
目的：应用自适应多指数IVIM模型区分肝细胞癌（HCC）与其他类型的肝脏病变。方法：本研究共检查了94个肝脏局灶性病变，包括38个HCC，16个转移瘤，12个局灶性结节增生，13个胆管癌和15个血管瘤。采用13个B值（B = 0，3，.，500 s/mm 2）采集弥散加权图像，测量第i个灌注成分的自适应多指数IVIM参数，即纯弥散系数（D）、弥散分数（fd）、伪弥散系数（Di*）和灌注相关弥散分数（fi）。采用Mann-Whitney U检验、独立样本t检验、单因素方差分析、Z检验和受试者操作特征分析等方法比较各参数和诊断性能。研究结果：D、D1* 和D2* 在HCC与其他肝脏病变之间差异有统计学意义，而fd、f1和f2在HCC与其他肝脏病变之间差异无统计学意义。在HCC与其他肝脏病变的鉴别诊断中，D2*（AUC，0.927）在所有参数中提供了最佳诊断性能。此外，模型中指数项的数量也是区分HCC与其他肝脏病变的重要指标。在良性和恶性分析中，D给出了最大的AUC值，0.895或0.853，用于区分恶性和良性病变，具有三个或两个指数项。多血管病变与少血管病变之间大多数参数无显著差异。对于多重比较，在某些病变类型之间发现D、D1* 或D2* 的显著差异。结论：自适应多指数IVIM模型是区分HCC与其他肝脏病变的有效和可靠的模型。
PURPOSE: To distinguish hepatocellular carcinoma (HCC) from other types of hepatic lesions with the adaptive multi-exponential IVIM model. METHODS: 94 hepatic focal lesions, including 38 HCC, 16 metastasis, 12 focal nodular hyperplasia, 13 cholangiocarcinoma, and 15 hemangioma, were examined in this study. Diffusion-weighted images were acquired with 13 b values (b = 0, 3, …, 500 s/mm2) to measure the adaptive multi-exponential IVIM parameters, namely, pure diffusion coefficient (D), diffusion fraction (fd), pseudo-diffusion coefficient (Di*) and perfusion-related diffusion fraction (fi) of the ith perfusion component. Comparison of the parameters of and their diagnostic performance was determined using Mann-Whitney U test, independent-sample t test, one-way analysis of variance, Z test and receiver-operating characteristic analysis. RESULTS: D, D1* and D2* presented significantly difference between HCCs and other hepatic lesions, whereas fd, f1 and f2 did not show statistical differences. In the differential diagnosis of HCCs from other hepatic lesions, D2* (AUC, 0.927) provided best diagnostic performance among all parameters. Additionally, the number of exponential terms in the model was also an important indicator for distinguishing HCCs from other hepatic lesions. In the benign and malignant analysis, D gave the greatest AUC values, 0.895 or 0.853, for differentiation between malignant and benign lesions with three or two exponential terms. Most parameters were not significantly different between hypovascular and hypervascular lesions. For multiple comparisons, significant differences of D, D1* or D2* were found between certain lesion types. CONCLUSION: The adaptive multi-exponential IVIM model was useful and reliable to distinguish HCC from other hepatic lesions.
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影响因子：
6.3
作者：
Kudo, Masatoshi
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