磁共振成像2017，Vol.8Issue(4)：276-282,7.DOI:10.12015/issn.1674-8034.2017.04.008
利用肿瘤全域表观扩散系数信号强度直方图鉴别Ⅱ级与Ⅲ级胶质瘤
Whole tumor volume based histogram analysis of ADC signal intensity for differentitating between WHO grade Ⅱ and Ⅲ glioma
摘要
Abstract
Objective: To evaluate the differential diagnostic value of histogram analysis of ADC signal intensity based on entire region of grade Ⅱ and Ⅲ tumor, and then to investigate a potential imaging biomarker to differentiate them. Materials and Methods: Thirteen patients with grade Ⅱ glioma and 20 patients with grade Ⅲglioma were enrolled in this retrospective study, and all tumors were pathologically confirmed. ROIs containing the entire tumor and peripheral edema were drawn in each slice of the ADC signal intensity maps. Obtained the 3D ROI ADC signal strength histogram information and all its parameters. Histogram related parameters including min intensity, max intensity, mean value, the 10th, 25th, 50th, 75th and 90th percentiles, range, voxel number, standard deviation, variance, mean deviation, skewness, kurtosis and uniformity were recorded. The obtained parameters were compared between groups. Receiver operating characteristic (ROC) curve was constructed to assess the ability of parameters between grade Ⅱ and Ⅲ glioma. Results: Min Intensity (P=0.04), 10th percentiles (P=0.03), voxel number (P=0.003), standard deviation (P=0.022), skewness (P=0.017) showed significant difference between two groups. When optimal cut point of voxel number was 5.46×106 for diagnosis of grade Ⅱ and Ⅲ, the area under the ROC curve was maximum, which was 0.856, the sensitivity and specificity was 81.5%, 80.0%. When optimal cut point of skewness was -1.414, the area under the ROC curve was 0.750, the sensitivity and specificity was 100.0%, 60.0%. When optimal cut point of standard deviation was 14.602, the area under the ROC curve was 0.738, the sensitivity and specificity was 100.0%, 55.0%. Conclusion: Histogram analysis of ADC signal intensity based on entire tumor could provide more information in differentiation of grade Ⅱ and Ⅲ glioma. Voxel number, standard deviation and skewness showed superior diagnostic value.关键词
神经胶质瘤/磁共振成像/直方图分析/表观扩散系数/肿瘤分级Key words
Glioma/Magnetic resonance imaging/Histogram analysis/Apparent diffusion coefficient/Neoplasm grading分类
医药卫生引用本文复制引用
刘杨颖秋,尚劲,田诗云,宋清伟,黄宁,郭妍,苗延巍..利用肿瘤全域表观扩散系数信号强度直方图鉴别Ⅱ级与Ⅲ级胶质瘤[J].磁共振成像,2017,8(4):276-282,7.基金项目
国家自然科学基金项目(编号:81671646) ACKNOWLEDGMENTS This work was part of National Nature Science Foundation of China (No. 81671646). （编号:81671646）
