Ertekin Tolga, Acer Niyazi, Köseoğlu Emel, Zararsız Gökmen, Sönmez Ali, Gümüş Kazım, Kurtoğlu Erdal
Department of Anatomy, Medical Faculty, Erciyes University, Köşk, Talas Blv, Kayseri 38039, Turkey.
Department of Anatomy, Medical Faculty, Erciyes University, Köşk, Talas Blv, Kayseri 38039, Turkey.
J Clin Neurosci. 2016 Dec;34:133-139. doi: 10.1016/j.jocn.2016.05.038. Epub 2016 Jul 27.
Measuring of brain and its compartments' sizes from magnetic resonance (MR) images is an effective way to assess disease progression in neurodegenerative disorders, particularly Alzheimer's disease (AD). The objective of this study was to compare total intracranial volume (TIV) and lateral ventricle volume (LVV) in patients with Alzheimer's disease with those in elderly control subjects, and to compare an automated method (automatic lateral ventricle delineation [ALVIN]) and a manual method (ImageJ). MRI of the brain was performed on 20 patients with Alzheimer's disease and 18 control subjects. The TIV was calculated by a manual method and the LVV was calculated by using two methods: an automated and manual method. We found a significant increase in LVVs in Alzheimer's disease patients compared to control subjects, but no difference in TIV between the two groups. A perfect agreement, with 0.989 (0.973-0.996) intraclass correlation coefficient (ICC) and 0.978 (0.946-0.991) concordance correlation coefficient (CCC), was observed between the manual and automatic lateral ventricle measurements in Alzheimer patients. The results revealed that LVV measure has predictive performance in AD. We demonstrated that ALVIN and ImageJ are both effective in determining lateral ventricular volume, providing an objective tool for quantitative assessment of AD.
通过磁共振（MR）图像测量大脑及其各部分的大小是评估神经退行性疾病，尤其是阿尔茨海默病（AD）疾病进展的有效方法。本研究的目的是比较阿尔茨海默病患者与老年对照受试者的总颅内体积（TIV）和侧脑室体积（LVV），并比较一种自动化方法（自动侧脑室描绘[ALVIN]）和一种手动方法（ImageJ）。对20例阿尔茨海默病患者和18例对照受试者进行了脑部MRI检查。TIV采用手动方法计算，LVV采用两种方法计算：自动化方法和手动方法。我们发现，与对照受试者相比，阿尔茨海默病患者的LVV显著增加，但两组之间的TIV没有差异。在阿尔茨海默病患者中，手动和自动侧脑室测量之间观察到了完美的一致性，组内相关系数（ICC）为0.989（0.973 - 0.996），一致性相关系数（CCC）为0.978（0.946 - 0.991）。结果显示LVV测量在AD中具有预测性能。我们证明了ALVIN和ImageJ在确定侧脑室体积方面均有效，为AD的定量评估提供了一种客观工具。
