Non-Invasive Monitoring of Temporal and Spatial Blood Flow during Bone Graft Healing Using Diffuse Correlation Spectroscopy Article Swipe
Songfeng Han
,
Michael D. Hoffman
,
Ashley R. Proctor
,
Joseph B. Vella
,
Emmanuel A. Mannoh
,
Nathaniel E. Barber
,
Hyun Jin Kim
,
Ki Won Jung
,
Danielle S. W. Benoit
,
Regine Choe
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0143891
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0143891
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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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0143891
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0143891&type=printable
- OA Status
- gold
- Cited By
- 20
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W2181856604
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2181856604Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0143891Digital Object Identifier
- Title
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Non-Invasive Monitoring of Temporal and Spatial Blood Flow during Bone Graft Healing Using Diffuse Correlation SpectroscopyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-12-01Full publication date if available
- Authors
-
Songfeng Han, Michael D. Hoffman, Ashley R. Proctor, Joseph B. Vella, Emmanuel A. Mannoh, Nathaniel E. Barber, Hyun Jin Kim, Ki Won Jung, Danielle S. W. Benoit, Regine ChoeList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0143891Publisher landing page
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0143891&type=printableDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0143891&type=printableDirect OA link when available
- Concepts
-
Medicine, Blood flow, Transplantation, Surgery, Urology, CardiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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20Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 1, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
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56Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.versus | 270 |
| abstract_inverted_index.Herein, | 32 |
| abstract_inverted_index.between | 193 |
| abstract_inverted_index.central | 229 |
| abstract_inverted_index.changes | 39 |
| abstract_inverted_index.control | 107, 159 |
| abstract_inverted_index.defined | 202 |
| abstract_inverted_index.delayed | 266 |
| abstract_inverted_index.diffuse | 46 |
| abstract_inverted_index.femoral | 52 |
| abstract_inverted_index.gradual | 123 |
| abstract_inverted_index.greater | 241 |
| abstract_inverted_index.healing | 30, 267 |
| abstract_inverted_index.initial | 115 |
| abstract_inverted_index.levels. | 127 |
| abstract_inverted_index.measure | 35 |
| abstract_inverted_index.predict | 28 |
| abstract_inverted_index.several | 61 |
| abstract_inverted_index.similar | 184 |
| abstract_inverted_index.spatial | 152, 255 |
| abstract_inverted_index.(ΔrBF), | 199 |
| abstract_inverted_index.However, | 231 |
| abstract_inverted_index.Vascular | 0 |
| abstract_inverted_index.baseline | 126, 165 |
| abstract_inverted_index.changes, | 206 |
| abstract_inverted_index.compared | 100 |
| abstract_inverted_index.complete | 12 |
| abstract_inverted_index.critical | 10 |
| abstract_inverted_index.duration | 140 |
| abstract_inverted_index.elevated | 208 |
| abstract_inverted_index.estimate | 204 |
| abstract_inverted_index.followed | 120, 182 |
| abstract_inverted_index.healing. | 15 |
| abstract_inverted_index.however, | 175 |
| abstract_inverted_index.increase | 116 |
| abstract_inverted_index.location | 153 |
| abstract_inverted_index.measured | 59 |
| abstract_inverted_index.proximal | 63, 226 |
| abstract_inverted_index.remained | 163 |
| abstract_inverted_index.supports | 262 |
| abstract_inverted_index.temporal | 257 |
| abstract_inverted_index.allograft | 87, 178, 222, 237 |
| abstract_inverted_index.autograft | 173, 214, 245 |
| abstract_inverted_index.depending | 149 |
| abstract_inverted_index.elevation | 130 |
| abstract_inverted_index.exhibited | 113, 239 |
| abstract_inverted_index.outcomes. | 31 |
| abstract_inverted_index.parameter | 201 |
| abstract_inverted_index.positions | 62 |
| abstract_inverted_index.potential | 25 |
| abstract_inverted_index.segmental | 53 |
| abstract_inverted_index.(autograft | 82 |
| abstract_inverted_index.Therefore, | 16 |
| abstract_inverted_index.allografts | 44, 112, 148, 269 |
| abstract_inverted_index.associated | 3 |
| abstract_inverted_index.autografts | 42, 110 |
| abstract_inverted_index.difference | 192 |
| abstract_inverted_index.locations. | 230 |
| abstract_inverted_index.real-time, | 17 |
| abstract_inverted_index.throughout | 167 |
| abstract_inverted_index.alterations | 4 |
| abstract_inverted_index.autografts, | 137 |
| abstract_inverted_index.autografts. | 271 |
| abstract_inverted_index.correlation | 47 |
| abstract_inverted_index.differences | 258 |
| abstract_inverted_index.established | 263 |
| abstract_inverted_index.ipsilateral | 94 |
| abstract_inverted_index.measurement | 19 |
| abstract_inverted_index.Measurements | 91 |
| abstract_inverted_index.implantation | 71 |
| abstract_inverted_index.infiltration | 1 |
| abstract_inverted_index.longitudinal | 18, 36 |
| abstract_inverted_index.measurement. | 156 |
| abstract_inverted_index.post-surgery | 250 |
| abstract_inverted_index.spectroscopy | 48 |
| abstract_inverted_index.successfully | 27 |
| abstract_inverted_index.contralateral | 106, 158, 197 |
| abstract_inverted_index.microvascular | 6 |
| abstract_inverted_index.significantly | 240 |
| abstract_inverted_index.graft-specific | 205 |
| abstract_inverted_index.non-invasively | 34 |
| abstract_inverted_index.post-implantation | 75 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5009672700, https://openalex.org/A5113771739, https://openalex.org/A5022624721, https://openalex.org/A5011773527, https://openalex.org/A5026254993, https://openalex.org/A5027856379, https://openalex.org/A5058034410, https://openalex.org/A5060492902, https://openalex.org/A5015274437, https://openalex.org/A5100322434 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I28792581, https://openalex.org/I5388228 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.894472 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |