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实验性关节炎中基于感兴趣区域的簇状血氧水平依赖性功能磁共振成像数据的分析

Region-of-interest-based analysis of clustered BOLD MRI data in experimental arthritis.

作者信息

Doria Andrea S, Dick Paul

机构信息

Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Avenue, University of Toronto, Toronto, ON, Canada M5G1X8.

出版信息

Acad Radiol. 2005 Jul;12(7):841-52. doi: 10.1016/j.acra.2005.03.070.

Abstract

RATIONALE AND OBJECTIVES

BOLD MRI provides functional information based on minimal changes. Problems inherent in data processing of the very low signal-to-noise-ratio of BOLD experiments have created obstacles for validation of certain techniques using standard strength-field MR scanners. Measures of diagnostic accuracy of clustered data are directly related to the reading parameters used to define regions-of-interest (ROIs). Our primary aim was to determine the combination of ROI-related reading parameters that provides highest accuracy for discrimination of presence or absence of arthritis in acute and subacute stages of the disease using paired comparisons of BOLD MRI data.

MATERIALS AND METHODS

Six male New Zealand white rabbits were injected with albumin into one knee and saline into the contralateral knee, 3 animals had albumin injected into only one of the knees, 2 had saline injected into one of the knees, and 3 animals were not injected. The rabbits' knees underwent BOLD MRI on days 1 and 28 after induction of arthritis, except for the knees of 3 animals (albumin- vs saline-injected knees, n = 2 animals; saline- vs noninjected knees, n = 1 animal) that died before expected and had only the first MRI examination done. Percentage of activated voxels and differences in on-and-off signal intensities were the BOLD MRI methods applied. Data were analyzed using anatomic-driven small ROI, voxel-chaser-driven small ROI and anatomic-driven large ROI techniques.

RESULTS

Diagnostic areas-under-the curve (AUCs) were obtained only for acute arthritis and only when percentage of activated voxels was used. Low threshold, positive voxel activations and small ROIs generated the largest AUCs (AUC +/- SE, .911 +/- .092, P = .014) using either anatomic-driven or voxel-chaser-driven techniques. A sensitivity analysis confirmed the importance of threshold as a parameter for analysis.

CONCLUSION

Low threshold, positive voxel activations and small ROIs constituted the set of reading parameters that provided the most accurate BOLD MRI results.

摘要

原理与目的

血氧水平依赖性功能磁共振成像(BOLD MRI)基于微小变化提供功能信息。BOLD实验极低信噪比的数据处理中固有的问题,为使用标准强度场磁共振扫描仪验证某些技术造成了障碍。聚类数据的诊断准确性测量与用于定义感兴趣区域(ROI)的读取参数直接相关。我们的主要目的是通过BOLD MRI数据的配对比较,确定与ROI相关的读取参数组合,该组合在疾病的急性和亚急性阶段鉴别关节炎有无时具有最高的准确性。

材料与方法

6只雄性新西兰白兔,一只膝关节注射白蛋白,对侧膝关节注射生理盐水,3只动物仅一侧膝关节注射白蛋白,2只动物一侧膝关节注射生理盐水,3只动物未注射。除3只动物(白蛋白注射与生理盐水注射膝关节对比,n = 2只动物;生理盐水注射与未注射膝关节对比,n = 1只动物)在预期时间前死亡且仅进行了首次MRI检查外,其余兔子的膝关节在诱导关节炎后的第1天和第28天接受BOLD MRI检查。应用的BOLD MRI方法为激活体素百分比和信号强度开-关差异。数据采用解剖驱动的小ROI、体素追踪驱动的小ROI和解剖驱动的大ROI技术进行分析。

结果

仅在急性关节炎时,且仅当使用激活体素百分比时,获得了诊断曲线下面积(AUC)。使用解剖驱动或体素追踪驱动技术,低阈值、阳性体素激活和小ROI产生了最大的AUC(AUC +/- SE,.911 +/- .092,P = .014)。敏感性分析证实了阈值作为分析参数的重要性。

结论

低阈值、阳性体素激活和小ROI构成了提供最准确BOLD MRI结果的读取参数集。

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