Balikesir University, Faculty of Medicine, Department of Anatomy, Balıkesir, Turkey.
Balikesir University, Faculty of Medicine, Department of Anatomy, Balıkesir, Turkey.
J Clin Neurosci. 2020 Aug;78:333-338. doi: 10.1016/j.jocn.2020.04.092. Epub 2020 Apr 29.
Automatic estimations of brain ventricles are needed to assess disease progression in neurodegenerative disorders such as Alzheimer Disease (AD). The objectives of this study are to evaluate the diagnostic performances of an automated volumetric assessment tool in estimating lateral ventricle volumes in AD and to compare this with Cavalieri's principle, which is accepted as the gold standard method. This is across-sectional volumetric study including 25 Alzheimer patients and 25 healthy subjects undergoing magnetic resonance images (MRI) with a 3D turbo spin echo sequence at 1.5 Tesla. The Atlas-based method incorporated MRIStudio software to automatically measure he volumes of brain ventricles. To compare the corresponding measurements, we used manual point-counting and semi-automatic planimetry methods based on Cavalieri's principle. Bland-Altman test results indicated an excellent agreement between Cavalieri's principle and the Atlas-based method in all volumetric measurements (p < 0.05). We obtained a 64% sensitivity and 92% specificity for lateral ventricular volumes according to the Atlas-based method. AD subjects had significantly larger left and right lateral ventricle volume (LVV) when compared to control subjects in respect to three volumetric methods (p < 0.01). Lateral ventricle-to-brain ratio (VBR) statistically increased 49.23% in measurements done with the point-counting method, 45.12% with the planimetry method, and 45.49% with the Atlas-based method in AD patients (p < 0.01). As a result, the Atlas-based method may be used instead of manual volumetry to estimate brain volumes. Additionally, this method provides rapid and accurate estimations of brain ventricular volumes in-vivo examination of MRI.
自动估计脑室内径对于评估阿尔茨海默病（AD）等神经退行性疾病的疾病进展非常重要。本研究旨在评估一种自动容积评估工具在 AD 患者侧脑室容积评估中的诊断性能，并将其与被认为是金标准方法的 Cavalieri 原理进行比较。这是一项横断面容积研究，包括 25 名 AD 患者和 25 名健康对照者，他们接受了 3D 涡轮自旋回波序列的 1.5T 磁共振成像（MRI）检查。基于图谱的方法结合了 MRIStudio 软件，可自动测量脑室内径的容积。为了比较相应的测量值，我们使用了基于 Cavalieri 原理的手动点计数和半自动平面测量方法。Bland-Altman 检验结果表明，基于图谱的方法和 Cavalieri 原理在所有容积测量中具有极好的一致性（p<0.05）。根据基于图谱的方法，我们获得了 64%的侧脑室容积的敏感性和 92%的特异性。与对照组相比，AD 患者的左侧和右侧侧脑室容积（LVV）明显更大，三种容积测量方法均显示出统计学差异（p<0.01）。在 AD 患者中，点计数法、平面测量法和基于图谱的方法分别使侧脑室-脑比值（VBR）增加了 49.23%、45.12%和 45.49%（p<0.01）。因此，基于图谱的方法可用于代替手动容积测量来估计脑容积。此外，该方法还可快速准确地估计 MRI 体内检查的脑室内径。
