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Diagnostic Ability of Radiofrequency Ultrasound in Parkinson’s Disease Compared to Conventional Transcranial Sonography and Magnetic Resonance Imaging

机译:与传统的经颅超声和磁共振成像相比射频超声诊断能力与帕金森病相比

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摘要

We aimed to estimate tissue displacements’ parameters in midbrain using ultrasound radiofrequency (RF) signals and to compare diagnostic ability of this RF transcranial sonography (TCS)-based dynamic features of disease affected tissues with conventional TCS (cTCS) and magnetic resonance imaging (MRI) while differentiating patients with Parkinson’s disease (PD) from healthy controls (HC). US tissue displacement waveform parametrization by RF TCS for endogenous brain tissue motion, standard neurological examination, cTCS and MRI data collection were performed for 20 PD patients and for 20 age- and sex-matched HC in a prospective manner. Three logistic regression models were constructed, and receiver operating characteristic (ROC) curve analyses were applied. The model constructed of RF TCS-based brain tissue displacement parameters—frequency of high-end spectra peak and root mean square—revealed presumably increased anisotropy in the midbrain and demonstrated rather good diagnostic ability in the PD evaluation, although it was not superior to that of the cTCS or MRI. Future studies are needed in order to establish the true place of RF TCS detected tissue displacement parameters for the evaluation of pathologically affected brain tissue.
机译:我们旨在使用超声射频(RF)信号来估计中脑中的组织位移的参数,并比较具有传统TCS(CTCS)和磁共振成像(MRI)的疾病影响组织的动态特征的诊断能力)从健康对照(HC)中区分帕金森病(PD)的患者。美国组织位移波形波形参数由RF TCS进行内源性脑组织运动,标准神经检查,CTC和MRI数据收集进行20个PD患者,并以前瞻性方式进行20次和性别匹配的HC。构建了三种逻辑回归模型,并应用了接收器操作特征(ROC)曲线分析。基于RF TCS的脑组织位移参数构成的模型 - 高端光谱峰值和根部均方的频率可能会增加中脑中的各向异性增加,并且在PD评估中表现出相当好的诊断能力,尽管它不太优于CTCS或MRI。需要进行未来的研究,以便建立RF TCS的真实位置检测到用于评估病理受影响的脑组织的组织位移参数。

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