Wu Hongzhen, Liang Yingying, Jiang Xinqing, Wei Xinhua, Liu Yu, Liu Weifeng, Guo Yuan, Tang Wenjie
Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Medicine (Baltimore). 2018 Aug;97(34):e12071. doi: 10.1097/MD.0000000000012071.
Accurate detection and characterization of focal liver lesions, including differentiation between malignant and benign lesions, are particularly important. The objective of this meta-analysis was to evaluate the parameters of intravoxel incoherent motion (IVIM), including apparent diffusion coefficient (ADC), pure molecular diffusion coefficient (D), perfusion-related diffusion coefficient (D*), and perfusion fraction (f) in differentiating focal liver lesions.
IVIM method employed for focal liver lesion and the quality assessment of diagnostic studies were evaluated. Standardized mean differences and 95% confidence intervals were calculated. The heterogeneity was quantified with the I statistic.
The difference between groups was analyzed according to the I values from 6 different studies using fixed effects or random effects models. Significant differences in ADC (P < .001) and D (P < .001) were observed between benign and malignant lesions. Moreover, significant differences in ADC (P < .001), D (P < .001), and f (P = .01) were found between hemangioma and hepatocellular carcinoma (HCC). In addition, no significant difference was observed between the metastases and HCC.
D and ADC values were useful for the differentiation between benignity and malignancy; higher values of ADC, D, and f were observed in hemangioma compared to HCC. Nevertheless, IVIM did not result as the optimal approach for differentiation between the metastases and HCC.
准确检测和鉴别局灶性肝病变,包括区分恶性和良性病变,尤为重要。本荟萃分析的目的是评估体素内不相干运动(IVIM)的参数,包括表观扩散系数(ADC)、纯分子扩散系数(D)、灌注相关扩散系数(D*)和灌注分数(f)在鉴别局灶性肝病变中的作用。
评估了用于局灶性肝病变的IVIM方法以及诊断研究的质量评估。计算标准化平均差和95%置信区间。用I统计量对异质性进行量化。
根据6项不同研究的I值,使用固定效应或随机效应模型分析组间差异。在良性和恶性病变之间观察到ADC(P<0.001)和D(P<0.001)有显著差异。此外,在血管瘤和肝细胞癌(HCC)之间发现ADC(P<0.001)、D(P<0.001)和f(P=0.01)有显著差异。此外,转移瘤和HCC之间未观察到显著差异。
D和ADC值有助于鉴别良恶性;与HCC相比,血管瘤中ADC、D和f值更高。然而,IVIM并不是区分转移瘤和HCC的最佳方法。