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三维方法显著降低了骨骼肌毛细血管供应的估计误差。

The estimation error of skeletal muscle capillary supply is significantly reduced by 3D method.

机构信息

Institute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

出版信息

Microvasc Res. 2010 Jan;79(1):40-6. doi: 10.1016/j.mvr.2009.11.005. Epub 2009 Nov 11.

Abstract

Capillary supply of individual skeletal muscle fibers is usually evaluated from two-dimensional (2D) images of thin transverse sections by the number of capillary profiles around a fiber (CAF). This method is inherently inaccurate and the resulting capillary length measurement errors can be avoided by using an alternative three-dimensional (3D) approach where the mean length of capillaries around individual muscle fibers per fiber length (Lcap/Lfib) is measured from 3D images acquired by confocal microscopy. We quantified the error of the 2D method and its reduction by using a 3D approach in realistic geometrical models of muscle fiber capillary bed and in true muscle samples. In models we showed that Lcap/Lfib was sensitive to different arrangements of capillaries, while CAF underestimated capillarization since it could not detect the increased length of capillary bed. In true muscle samples, we detected statistically significant differences in the capillary supply of control and denervated rat soleus muscles by both 2D and 3D methods. Lcap/Lfib was larger than CAF in control muscles reflecting their more complicated capillary bed. Thus, 3D approach is more sensitive in agreement with the analysis of geometrical models. We conclude that the 3D method, though technically more demanding than 2D method, represents a more precise approach to evaluation of muscle capillarization. Moreover, the 3D method could be applied to other organs and we suggest potential medical applications.

摘要

个体骨骼肌纤维的毛细血管供应通常通过纤维周围的毛细血管轮廓数(CAF)从二维(2D)的薄横切片图像进行评估。这种方法本质上是不准确的,可以通过使用替代的三维(3D)方法来避免这种结果,在该方法中,从共聚焦显微镜获得的 3D 图像中测量每个纤维长度的单个肌纤维周围毛细血管的平均长度(Lcap/Lfib)。我们通过使用 3D 方法在肌肉纤维毛细血管床的现实几何模型中和真实肌肉样本中量化了 2D 方法的误差及其减少量。在模型中,我们表明 Lcap/Lfib 对毛细血管的不同排列敏感,而 CAF 由于不能检测到毛细血管床的增加长度,因此低估了毛细血管化程度。在真实的肌肉样本中,我们通过 2D 和 3D 方法检测到对照组和去神经大鼠比目鱼肌的毛细血管供应存在统计学上的显著差异。在对照组肌肉中,Lcap/Lfib 大于 CAF,反映了它们更复杂的毛细血管床。因此,3D 方法比 2D 方法更敏感,与几何模型的分析一致。我们得出结论,尽管 3D 方法在技术上比 2D 方法要求更高,但它代表了一种更精确的评估肌肉毛细血管化的方法。此外,3D 方法可应用于其他器官,我们建议可能的医学应用。

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