ArticlePloS one2015
Non-Invasive Monitoring of Temporal and Spatial Blood Flow during Bone Graft Healing Using Diffuse Correlation Spectroscopy.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Article
- Comparison of diffuse correlation spectroscopy, interferometric diffusing wave spectroscopy, and speckle contrast optical spectroscopy for blood flow monitoring.Neurophotonics · 2025Article
- Massively parallel, real-time multispeckle diffuse correlation spectroscopy using a 500 × 500 SPAD camera.Biomedical optics express · 2023Article
- Imaging Dynamics Beneath Turbid Media via Parallelized Single-Photon Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Transient Motion Classification Through Turbid VolumesFrontiers in neuroscience · 2022Article
- Longitudinal 3D Blood Flow Distribution Provided by Diffuse Correlation Tomography during Bone Healing in a Murine Fracture Model.Photochemistry and photobiology · 2020Article
- Small separation diffuse correlation spectroscopy for measurement of cerebral blood flow in rodents.Biomedical optics express · 2018Article
- Laser safety in fiber-optic monitoring of spinal cord hemodynamics: a preclinical evaluation.Journal of biomedical optics · 2018Article
- Temporal blood flow changes measured by diffuse correlation tomography predict murine femoral graft healing.PloS one · 2018Article
- Encapsulation of primary salivary gland cells in enzymatically degradable poly(ethylene glycol) hydrogels promotes acinar cell characteristics.Acta biomaterialia · 2017Article
- Non-invasive diffuse correlation tomography reveals spatial and temporal blood flow differences in murine bone grafting approaches.Biomedical optics express · 2016Article
- CORR Insights(®): Is Assessment of Femoral Head Perfusion During Modified Dunn for Unstable Slipped Capital Femoral Epiphysis an Accurate Indicator of Osteonecrosis?Clinical orthopaedics and related research · 2016Article
- Optical methods for quantitative and label-free sensing in living human tissues: principles, techniques, and applications.Advances in physics · 2016Article
- Novel diffuse optics system for continuous tissue viability monitoring - extended recoveryProceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Vascular infiltration and associated alterations in microvascular blood flow are critical for complete bone graft healing. Therefore, real-time, longitudinal measurement of blood flow has the potential to successfully predict graft healing outcomes. Herein, we non-invasively measure longitudinal blood flow changes in bone autografts and allografts using diffuse correlation spectroscopy in a murine femoral segmental defect model. Blood flow was measured at several positions proximal and distal to the graft site before implantation and every week post-implantation for a total of 9 weeks (autograft n = 7 and allograft n = 10). Measurements of the ipsilateral leg with the graft were compared with those of the intact contralateral control leg. Both autografts and allografts exhibited an initial increase in blood flow followed by a gradual return to baseline levels. Blood flow elevation lasted up to 2 weeks in autografts, but this duration varied from 2 to 6 weeks in allografts depending on the spatial location of the measurement. Intact contralateral control leg blood flow remained at baseline levels throughout the 9 weeks in the autograft group; however, in the allograft group, blood flow followed a similar trend to the graft leg. Blood flow difference between the graft and contralateral legs (ΔrBF), a parameter defined to estimate graft-specific changes, was elevated at 1-2 weeks for the autograft group, and at 2-4 weeks for the allograft group at the proximal and the central locations. However, distal to the graft, the allograft group exhibited significantly greater ΔrBF than the autograft group at 3 weeks post-surgery (p < 0.05). These spatial and temporal differences in blood flow supports established trends of delayed healing in allografts versus autografts.
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