Glioma: application of whole-tumor texture analysis of diffusion-weighted imaging for the evaluation of tumor heterogeneity.
Glioma: application of whole-tumor texture analysis of diffusion-weighted imaging for the evaluation of tumor heterogeneity.
复制标题
DOI：
10.1371/journal.pone.0108335
复制
发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Sohn CH
中科院分区：
文献类型：
--
作者：
Ryu YJ;Choi SH;Park SJ;Yun TJ;Kim JH;Sohn CH
应用表观扩散系数（ADC）图像纹理分析评价胶质瘤的异质性，并与肿瘤分级相关。对40例脑胶质瘤患者（WHO分级II级8例，III级10例，IV级22例）进行弥散加权成像（DWI），获得相应的ADC图。 在包含肿瘤的ADC图的每个切片上绘制包含病变的感兴趣区域，并构建整个肿瘤的基于体积的数据。使用内部软件从ADC图中导出纹理和一阶特征，包括熵、偏度和峰度。还对ADC图进行了直方图分析。低级别和高级别胶质瘤之间的纹理和直方图参数进行了比较，使用非配对学生的t检验。此外，进行了单因素方差分析和事后检验，以比较每个等级的参数。高级别胶质瘤的熵值显著高于低级别胶质瘤（6.861±0.539 vs. 6.261±0.412，P = 0.006）。 ADC值累积直方图第5行也显示高、低级别胶质瘤间差异有统计学意义（836±235 vs. 1030±185，P = 0.037）。 只有熵值在Ⅲ级和Ⅳ级之间有显著性差异（6.295± 0.4963vs.7.119 ±0.3165，P<0.001）。在区分高级别胶质瘤和低级别胶质瘤方面，ADC熵的诊断准确性显著高于ADC直方图的第5百分位数（P =0.0034）。 基于整个肿瘤体积的ADC图的纹理分析可用于评估胶质瘤等级，这提供了肿瘤异质性。
To apply a texture analysis of apparent diffusion coefficient (ADC) maps to evaluate glioma heterogeneity, which was correlated with tumor grade. Forty patients with glioma (WHO grade II (n = 8), grade III (n = 10) and grade IV (n = 22)) underwent diffusion-weighted imaging (DWI), and the corresponding ADC maps were obtained. Regions of interest containing the lesions were drawn on every section of the ADC map containing the tumor, and volume-based data of the entire tumor were constructed. Texture and first order features including entropy, skewness and kurtosis were derived from the ADC map using in-house software. A histogram analysis of the ADC map was also performed. The texture and histogram parameters were compared between low-grade and high-grade gliomas using an unpaired student’s t-test. Additionally, a one-way analysis of variance analysis with a post-hoc test was performed to compare the parameters of each grade. Entropy was observed to be significantly higher in high-grade gliomas than low-grade tumors (6.861±0.539 vs. 6.261±0.412, P = 0.006). The fifth percentiles of the ADC cumulative histogram also showed a significant difference between high and low grade gliomas (836±235 vs. 1030±185, P = 0.037). Only entropy proved to be significantly different between grades III and IV (6.295±0.4963 vs. 7.119±0.3165, P<0.001). The diagnostic accuracy of ADC entropy was significantly higher than that of the fifth percentile of the ADC histogram (P = 0.0034) in distinguishing high- from low-grade glioma. A texture analysis of the ADC map based on the entire tumor volume can be useful for evaluating glioma grade, which provides tumor heterogeneity.
登录
查看更多内容
影响因子：
3.9
作者：
Baehring, Joachim M.;Bi, Wenya Linda;Fulbright, Robert K.
通讯作者：
Fulbright, Robert K.
影响因子：
19.7
作者：
Emblem, Kyrre E.;Nedregaard, Baard;Bjornerud, Atle
通讯作者：
Bjornerud, Atle
影响因子：
19.7
作者：
Guo, AC;Cummings, TJ;Provenzale, JM
通讯作者：
Provenzale, JM
影响因子：
2.6
作者：
Ganeshan, B.;Skogen, K.;Miles, K.
通讯作者：
Miles, K.
影响因子：
19.7
作者：
Higano, Shuichi;Yun, Xia;Takahashi, Shoki
通讯作者：
Takahashi, Shoki