文章摘要
胡大玲,苏东明,张 寅,徐 笑.采用ADC对不同级别脑胶质瘤诊断价值的临床研究[J].南京医科大学学报,2019,(3):355~359
采用ADC对不同级别脑胶质瘤诊断价值的临床研究
Clinical study on the diagnostic value of ADC in different pathological grading cerebral gliomas
投稿时间:2018-06-25  
DOI:10.7655/NYDXBNS20190308
中文关键词: 脑胶质瘤  磁共振弥散加权成像  表观扩散系数  病理分级  诊断价值
英文关键词: cerebral gliomas  diffusion⁃weighted imaging  apparent diffusion coefficient  pathological grading  diagnostic value
基金项目:国家自然科学基金(81570779)
作者单位
胡大玲 南京医科大学附属逸夫医院老年医学科江苏 南京 211166 
苏东明 南京医科大学附属逸夫医院病理与检验中心江苏 南京 211166 
张 寅 南京医科大学附属逸夫医院神经外科江苏 南京 211166 
徐 笑 南京医科大学第一附属医院神经外科江苏 南京 210029 
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中文摘要:
      目的:研究表观扩散系数(apparent diffusion coefficient,ADC)值对不同级别脑胶质瘤的诊断价值。方法:收集2016年 1月—2017年12月南京医科大学第一附属医院神经外科收治的83例脑胶质瘤患者,回顾分析其临床诊治资料。将所有患者分为2组:低级别组(Ⅰ、Ⅱ级,共23例)、高级别组(Ⅲ级、Ⅳ级,60例),比较2组脑胶质瘤ADC值的差异,并采用Spearman秩相关检验分析ADC值与脑胶质瘤病理分级的相关性;绘制ROC曲线分析ADC值对高、低级别脑胶质瘤的诊断价值。结果:高级别组患者的脑胶质瘤ADC值显著低于低级别组,差异有统计学意义(P < 0.05)。脑胶质瘤ADC值与其病理分级呈显著负相关(r=-0.811,P < 0.001)。ROC分析结果显示,低级别脑胶质瘤ADC值的ROC曲线下面积为0.976,诊断最佳临界点值为1.19×10-3 mm2,对应的灵敏度和特异度分别为94.80%、95.70%;高级别脑胶质瘤ADC值的ROC曲线下面积为0.941,诊断最佳临界点值为1.02×10-3 mm2,对应的灵敏度和特异度分别为94.25%、95.10%。结论:ADC值对不同病理分级脑胶质瘤具有良好的诊断价值。
英文摘要:
      Objective:To study the diagnostic value of apparent diffusion coefficient(ADC)in different grades of cerebral gliomas. Methods:A total of 83 cases of glioma were collected from January 2016 to December 2017 in the Department of Neurosurgery of Jiangsu Provincial People’s Hospital. The clinical data of diagnosis and treatment were analyzed retrospectively. All patients were divided into two groups:the low?grade group(Ⅰand Ⅱ grade,23 cases)and the high?grade group(Ⅲ and Ⅳ grade,60 cases). The difference of ADC values between two groups was compared. Spearman rank correlation test was used to analyze the correlation between ADC values and pathological grades of gliomas. ROC curve was drawn to analyze the diagnostic value of ADC value for high and low grade gliomas. Results:The ADC values in the high?grade cerebral glioma group were significantly lower than those in the low?grade cerebral glioma group(P < 0.05). There was a negative correlation between ADC values and histopathological grading of cerebral gliomas(r=-0.811,P <0.001). ROC analysis showed that the area under the ROC curve was 0.976,and the optimal cut?off point of ADC values was 1.19×10-3 mm2 in diagnosing low?grade cerebral gliomas,and the corresponding sensitivity and specificity were 94.80% and 95.70%,respectively;the area under the ROC curve was 0.941,and the optimal cut?off point of ADC values was 1.02×10-3 mm2 in diagnosing high?grade cerebral gliomas,and the corresponding sensitivity and specificity were 94.25% and 95.10%,respectively. Conclusion:ADC values have good diagnostic value for predicting histopathological grade in cerebral gliomas.
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