MicroCT vascular network analysis program: Development, validation, and comparison to manufacturer software.
MicroCT vascular network analysis program: Development, validation, and comparison to manufacturer software.
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DOI：
10.1002/jor.24568
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发表时间：
2020-06
期刊：
影响因子：
--
通讯作者：
McBride-Gagyi S
中科院分区：
文献类型：
--
作者：
Peters J;Vest L;Schuelke M;Zustiak SP;Hall AF;McBride-Gagyi S
Bone repair’s dependence on angiogenesis makes accurately measuring vascular networks of great importance to orthopaedic researchers. A three-dimensional imaging modality like microcomputed tomography would better capture these networks than histology. There are commercially available programs to analyze vessel networks in three dimensions, but these may be too costly for laboratories. Alternatively, μCT trabecular software could be used but may not be appropriate. The goal of this project was to develop a vascular network analysis protocol based on freely or commonly available software and compare its performance to that of a μCT trabecular analysis software. The protocol developed, called Vascular Network Analysis or VNA, relies on two modules in Fiji ImageJ and a custom MATLAB program. We validated the software and compared it to a μCT trabecular analysis program (MicroCT) using in silico models of increasing complexity and differing homogeneity. In general, VNA outcomes were significantly different from true values, but most were within an acceptable percent error (<10%). VNA and MicroCT performed almost identically for volume but significantly differently for average vessel diameter. For the homogenous models, the average diameters differed only slightly, but were starkly different for the heterogeneous models. In the most heterogeneous system, the microCT software overestimated average diameter by about 650% from true. VNA was within 1% of true for the same model. In conclusion, we have developed a program to analyze vascular networks from microCT scans which is easily accessible, insensitive to network homogeneity, and of higher accuracy compared to a μCT trabecular analysis software.
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影响因子：
6.2
作者：
Fang, TD;Salim, A;Longaker, MT
通讯作者：
Longaker, MT
影响因子：
4.8
作者：
Deckers, MML;van Bezooijen, RL;Löwik, CWGM
通讯作者：
Löwik, CWGM
血管内皮生长因子通过促进血管生成和骨转换来刺激骨修复
DOI：
10.1073/pnas.152324099
发表时间：
2002-07-23
影响因子：
11.1
作者：
Street, J;Bao, M;Filvaroff, EH
通讯作者：
Filvaroff, EH
影响因子：
4.1
作者：
Tomlinson, Ryan E.;McKenzie, Jennifer A.;Schmieder, Anne H.;Wohl, Gregory R.;Lanza, Gregory M.;Silva, Matthew J.
通讯作者：
Silva, Matthew J.
影响因子：
4.1
作者：
Hausman, MR;Schaffler, MB;Majeska, RJ
通讯作者：
Majeska, RJ