首页> 外文期刊>Journal of the Chinese Medical Association: JCMA >Direct measurement of the signal intensity of diffusion-weighted magnetic resonance imaging for preoperative grading and treatment guidance for brain gliomas
【24h】

Direct measurement of the signal intensity of diffusion-weighted magnetic resonance imaging for preoperative grading and treatment guidance for brain gliomas

机译:直接测量弥散加权磁共振成像的信号强度,以对脑神经胶质瘤进行术前分级和治疗指导

获取原文
获取外文期刊封面目录资料

摘要

Background: Magnetic resonance diffusion-weighted imaging (DWI) has been widely used clinically in imaging diagnosis of intracranial disorders. The purpose of current study was to present a quantitative method of direct measuring the DWI signal intensity of brain gliomas on the monitors of hospital picture archiving and communicating system (PACS) for grading gliomas. Methods: This study recruited 135 patients with treatment-na?ve brain gliomas. Direct measurement of the signal intensity of selected tumoral regions of interest (ROIs) by DWI on the monitors of the hospital PACS was performed for all patients. From the measurements, we obtained three values, defined as DWIT (tumor), DWIN (the homologous normal-appearing area of the tumor ROI in the contralateral hemisphere), and DWIWM (normal-appearing white matter) in the contralateral frontal lobe. Two ratios, DWIT/WM and DWIT/N, were obtained for each tumoral ROI. The same method was used for apparent diffusion coefficient (ADC) ratios of the tumoral ROI. Fractional polynomial regression and the Mann–Whitney U test were applied to determine the correlation between tumor grading, MIB-1 labeling index, and DWI and ADC ratios. Logistic regression models and receiver operating characteristic curve analysis were used to establish diagnostic models. Measurements of intraobserver and interobserver agreement were also made at 1-month interval. Results: The DWI ratios correlated positively with tumor grade and MIB-1 value (p?
机译:背景:磁共振弥散加权成像(DWI)在临床上已广泛用于颅内疾病的影像诊断。当前研究的目的是提出一种定量方法,该方法可在医院图片存档和通信系统(PACS)的监视器上直接测量脑胶质瘤的DWI信号强度,以对脑胶质瘤进行分级。方法:本研究招募了135例初治性脑胶质瘤患者。通过DWI在所有患者的医院PACS监视器上直接测量选定的目标肿瘤区域(ROI)的信号强度。通过测量,我们获得了三个值,分别定义为对侧额叶中的DWIT(肿瘤),DWIN(对侧半球中肿瘤ROI的同源正常出现区域)和DWIWM(正常出现的白质)。对于每个肿瘤ROI,获得两个比率DWIT / WM和DWIT / N。对于肿瘤ROI的表观扩散系数(ADC)比,使用相同的方法。应用分数多项式回归和Mann-Whitney U检验确定肿瘤分级,MIB-1标记指数以及DWI和ADC比率之间的相关性。使用Logistic回归模型和接收器工作特性曲线分析来建立诊断模型。还以1个月的间隔对观察者内部和观察者之间的协议进行了测量。结果:DWI比值与肿瘤分级和MIB-1值呈正相关(p <0.01)。 DWIT / WM的截止比为1.62,DWIT / N的截止比为1.47,产生了灵敏度(0.82,0.80),特异性(0.79,0.86)和声音区分能力的最佳组合,曲线下的面积为0.87和0.84分别区分低度和高度神经胶质瘤。 ADC比率显示出比DWI比率相对更差的敏感性,特异性和区分能力。几乎所有观察者内部和观察者之间的测量均在95%的一致性以内。结论:所提出的方法-在PACS监视器上直接测量DWI的肿瘤信号强度-对于临床神经肿瘤影像学服务中的神经胶质瘤分级是可行的,并且具有高度的可靠性和可重复性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号