Eriksson S H, Free S L, Thom M, Martinian L, Sisodiya S M
Department of Clinical and Experimental Epilepsy, National Society for Epilepsy, London, UK.
Neuropathol Appl Neurobiol. 2006 Jun;32(3):260-70. doi: 10.1111/j.1365-2990.2006.00717.x.
White matter neuronal density has been correlated with clinical outcome after temporal lobectomy for refractory epilepsy. Both morphometric 2D (two-dimensional) and stereological 3D (three-dimensional) analyses of neuronal density have been performed. 3D analyses are thought to be more accurate than 2D counts, but more time-consuming. We compared 3D and automated 2D measurements in the same specimens. Adjacent 20-microm (for 3D analyses) and 5-microm (for 2D analyses) sections from 10 temporal lobectomies were stained for NeuN immunohistochemistry. Analysis of 100% of a region of interest (ROI) in deep white matter was performed using an image analysis system (Histometrix, Kinetic Imaging, UK). 3D analyses were undertaken using x 63 magnification (6 h/case). Automated 2D analyses were undertaken using automatic neuronal identification at x 10 magnification with three to four repeats (1.5 h/case). The range of neuronal densities for 3D measurements was 2120-4910 neurones/mm(3), and for automated 2D measurements 17.4-47.1 neurones/mm2. There was a linear correlation between the two methods with an r2 of 0.58. [corrected] Count-recount variability was 1.4-9.9% for the 3D and 5.1-36.6% for the automated 2D measurements. We found a wide range of white matter neuronal densities using either analysis. The low agreement between methods, and the high count-recount variability for the automated 2D analyses, indicate that despite being more time-consuming, rigorous 3D stereological analyses have to be performed to obtain reliable results. These findings have implications for studies requiring neuronal counts in normal and disease states.
白质神经元密度与难治性癫痫颞叶切除术后的临床结局相关。已经对神经元密度进行了形态计量学二维(2D)和体视学三维(3D)分析。3D分析被认为比2D计数更准确,但更耗时。我们在相同标本中比较了3D和自动2D测量。对10例颞叶切除术的相邻20微米(用于3D分析)和5微米(用于2D分析)切片进行NeuN免疫组织化学染色。使用图像分析系统(Histometrix,Kinetic Imaging,英国)对深部白质中100%的感兴趣区域(ROI)进行分析。3D分析使用63倍放大倍数(每个病例6小时)。自动2D分析使用10倍放大倍数的自动神经元识别,重复三到四次(每个病例1.5小时)。3D测量的神经元密度范围为2120 - 4910个神经元/mm³,自动2D测量为17.4 - 47.1个神经元/mm²。两种方法之间存在线性相关性,r²为0.58。[校正后]3D测量的计数 - 再计数变异性为1.4 - 9.9%,自动2D测量为5.1 - 36.6%。我们发现使用任何一种分析方法,白质神经元密度范围都很广。方法之间的低一致性以及自动2D分析的高计数 - 再计数变异性表明,尽管更耗时,但必须进行严格的3D体视学分析才能获得可靠结果。这些发现对正常和疾病状态下需要神经元计数的研究具有启示意义。