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中脑的三维超声检查用于运动障碍的计算机辅助诊断。

Three-dimensional sonographic examination of the midbrain for computer-aided diagnosis of movement disorders.

机构信息

Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.

出版信息

Ultrasound Med Biol. 2012 Dec;38(12):2041-50. doi: 10.1016/j.ultrasmedbio.2012.07.017.

Abstract

We present a novel approach to transcranial B-mode sonography for Parkinson's disease (PD) diagnosis by using 3-D ultrasound (3-DUS). We reconstructed bilateral 3-DUS volumes of the midbrain and substantia nigra echogenicities (SNE) and report results of a more objective abnormality detection in (PD). For classification, we analyzed volumetric measurements of midbrain and SNE in subjects with PD and healthy controls (HC). After blinded segmentation of these structures in 22/23 subjects (11 PD, 11 HC) and by two observers with varying prior experience in this technique, the classification algorithm yielded up to 91% sensitivity and 64% specificity using the larger volume of both SNE as a single-dimensional features and up to 90.9% sensitivity and 72.7% specificity using a multidimensional feature set with midbrain and both SNE volumes. This pilot study indicates that our TC-3-D-US approach is technically feasible and less dependent on the investigator's experience and good bone windows. Our pilot study yielded a fairly high sensitivity and specificity in differentiating between subjects with PD and HC.

摘要

我们提出了一种新的方法,通过使用 3-D 超声(3-DUS)对帕金森病(PD)进行经颅 B 型超声诊断。我们重建了中脑和黑质回声(SNE)的双侧 3-DUS 容积,并报告了(PD)中更客观的异常检测结果。为了分类,我们分析了 PD 患者和健康对照组(HC)的中脑和 SNE 的体积测量值。在对 22/23 名受试者(11 名 PD,11 名 HC)进行盲法分割,并由两名具有该技术不同经验的观察者进行分割后,使用 SNE 的较大体积作为单一维度特征的分类算法的敏感性最高可达 91%,特异性最高可达 64%,而使用中脑和 SNE 体积的多维特征集的敏感性最高可达 90.9%,特异性最高可达 72.7%。这项初步研究表明,我们的 TC-3-D-US 方法在技术上是可行的,并且对研究人员的经验和良好的骨窗的依赖性较小。我们的初步研究在区分 PD 患者和 HC 方面产生了相当高的敏感性和特异性。

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