A method for evaluating the murine pulmonary vasculature using micro-computed tomography.
A method for evaluating the murine pulmonary vasculature using micro-computed tomography.
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DOI：
10.1016/j.jss.2016.08.074
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发表时间：
2017-01
期刊：
影响因子：
--
通讯作者：
McLean SE
中科院分区：
文献类型：
--
作者：
Phillips MR;Moore SM;Shah M;Lee C;Lee YZ;Faber JE;McLean SE
显著的死亡率和发病率与肺血管的改变有关。虽然已经描述了大型动物全肺动脉树的定量形态测定技术，但尚未描述小鼠的方法。我们报告了一种使用高分辨率计算机断层扫描定量评估小鼠肺动脉血管系统的方法。小鼠分别于2周龄、4周龄和3月龄时收获。肺动脉血管树用放射性不透明铸型材料压灌注至最大扩张，并设置粘度和压力以防止毛细血管过境和静脉充盈。固定肺，在8 μm分辨率的标本计算机断层扫描仪上扫描，并对血管进行分割。血管根据管腔直径和分支生成进行分类。实现了鲁棒的高分辨率分割，允许肺血管形态计量学的详细定量。正如预期的那样，出生后肺部发育与小血管数量和动脉分支复杂性的逐渐增加有关。这些方法对出生后和成年小鼠的肺血管进行定量分析，为评估影响肺血管疾病的小鼠模型提供了有用的工具。
Significant mortality and morbidity are associated with alterations in the pulmonary vasculature. While techniques have been described for quantitative morphometry of whole-lung arterial trees in larger animals, no methods have been described in mice. We report a method for the quantitative assessment of murine pulmonary arterial vasculature using high-resolution computed tomography scanning. Mice were harvested at 2 weeks, 4 weeks, and 3 months of age. The pulmonary artery vascular tree was pressure perfused to maximal dilation with a radio-opaque casting material with viscosity and pressure set to prevent capillary transit and venous filling. The lungs were fixed and scanned on a specimen computed tomography scanner at 8-μm resolution, and the vessels were segmented. Vessels were grouped into categories based on lumen diameter and branch generation. Robust high-resolution segmentation was achieved, permitting detailed quantitation of pulmonary vascular morphometrics. As expected, postnatal lung development was associated with progressive increase in small-vessel number and arterial branching complexity. These methods for quantitative analysis of the pulmonary vasculature in postnatal and adult mice provide a useful tool for the evaluation of mouse models of disease that affect the pulmonary vasculature.
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影响因子：
10
作者：
COONEY, TP;THURLBECK, WM
通讯作者：
THURLBECK, WM
影响因子：
56.9
作者：
MECHAM, RP;WHITEHOUSE, LA;VOELKEL, NF
通讯作者：
VOELKEL, NF
影响因子：
10
作者：
HORSFIELD, K;THOMAS, M
通讯作者：
THOMAS, M
影响因子：
10
作者：
DAVIES, G;REID, L
通讯作者：
REID, L
影响因子：
3.1
作者：
Razavi, Hedi;Dusch, Marie N.;Feinstein, Jeffrey A.
通讯作者：
Feinstein, Jeffrey A.