Han Songfeng, Proctor Ashley R, Vella Joseph B, Benoit Danielle S W, Choe Regine
Institute of Optics, University of Rochester, Rochester, NY 14627, USA.
Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA.
Biomed Opt Express. 2016 Aug 9;7(9):3262-3279. doi: 10.1364/BOE.7.003262. eCollection 2016 Sep 1.
Longitudinal blood flow during murine bone graft healing was monitored non-invasively using diffuse correlation tomography. The system utilized spatially dense data from a scanning set-up, non-linear reconstruction, and micro-CT anatomical information. Weekly measurements were performed. Blood flow changes in autografts, which heal successfully, were localized to graft regions and consistent across mice. Poor healing allografts showed heterogeneous blood flow elevation and high inter-subject variabilities. Allografts with tissue-engineered periosteum showed responses intermediate to both autografts and allografts, consistent with healing observed. These findings suggest that spatiotemporal blood flow changes can be utilized to differentiate the degree of bone graft healing.
使用扩散相关断层扫描技术对小鼠骨移植愈合过程中的纵向血流进行了无创监测。该系统利用了来自扫描装置的空间密集数据、非线性重建以及微型计算机断层扫描(micro-CT)解剖学信息。每周进行测量。成功愈合的自体移植骨中的血流变化局限于移植区域,并且在各小鼠之间具有一致性。愈合不良的异体移植骨显示出血流不均匀升高以及较高的个体间变异性。带有组织工程化骨膜的异体移植骨显示出介于自体移植骨和异体移植骨之间的反应,与观察到的愈合情况一致。这些发现表明,时空血流变化可用于区分骨移植愈合的程度。