Medical Imaging Center, Tampere University Hospital, Finland.
Acad Radiol. 2011 Oct;18(10):1217-24. doi: 10.1016/j.acra.2011.06.007. Epub 2011 Jul 23.
Early-stage diagnosis of Parkinson's disease (PD) is essential in making decisions related to treatment and prognosis. However, there is no specific diagnostic test for the diagnosis of PD. The aim of this study was to evaluate the role of texture analysis (TA) of magnetic resonance images in detecting subtle changes between the hemispheres in various brain structures in patients with early symptoms of parkinsonism. In addition, functional TA parameters for detecting textural changes are presented.
Fifty-one patients with symptoms of PD and 20 healthy controls were imaged using a 3-T magnetic resonance device. Co-occurrence matrix-based TA was applied to detect changes in textures between the hemispheres in the following clinically interesting areas: dentate nucleus, basilar pons, substantia nigra, globus pallidus, thalamus, putamen, caudate nucleus, corona radiata, and centrum semiovale. The TA results were statistically evaluated using the Mann-Whitney U test.
The results showed interhemispheric textural differences among the patients, especially in the area of basilar pons and midbrain. Concentrating on this clinically interesting area, the four most discriminant parameters were defined: co-occurrence matrix correlation, contrast, difference variance, and sum variance. With these parameters, differences were also detected in the dentate nucleus, globus pallidus, and corona radiata.
On the basis of this study, interhemispheric differences in the magnetic resonance images of patients with PD can be identified by the means of co-occurrence matrix-based TA. The detected areas correlate with the current pathophysiologic and neuroanatomic knowledge of PD.
帕金森病（PD）的早期诊断对于治疗和预后相关决策至关重要。然而，目前尚无特定的诊断测试用于 PD 的诊断。本研究旨在评估磁共振成像（MRI）纹理分析（TA）在检测帕金森病早期症状患者各脑结构半球间细微变化中的作用。此外，还提出了用于检测纹理变化的功能 TA 参数。
使用 3T 磁共振设备对 51 例 PD 症状患者和 20 例健康对照者进行成像。采用共生矩阵为基础的 TA 来检测齿状核、基底节脑桥、黑质、苍白球、丘脑、壳核、尾状核、放射冠和半卵圆中心等临床感兴趣区域半球间纹理变化。采用 Mann-Whitney U 检验对 TA 结果进行统计学评估。
结果显示患者间存在半球间的纹理差异，特别是在基底节脑桥和中脑区域。关注这一临床感兴趣区域，定义了四个最具判别力的参数：共生矩阵相关性、对比、差异方差和总和方差。使用这些参数，还可以在齿状核、苍白球和放射冠中检测到差异。
基于本研究，可通过基于共生矩阵的 TA 识别 PD 患者 MRI 的半球间差异。所检测到的区域与 PD 当前的病理生理和神经解剖学知识相关。
