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Quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging

The use of tissue transfer flaps has become a common and effective technique for reconstructing or replacing damaged tissue. While the overall failure rate associated with these procedures is relatively low (5-10%), the failure rate of tissue flaps that require additional surgery is significantly hi...

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Autores principales: Ponticorvo, Adrien, Taydas, Eren, Mazhar, Amaan, Scholz, Thomas, Kim, Hak-Su, Rimler, Jonathan, Evans, Gregory R. D., Cuccia, David J., Durkin, Anthony J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567716/
https://www.ncbi.nlm.nih.gov/pubmed/23412357
http://dx.doi.org/10.1364/BOE.4.000298
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author Ponticorvo, Adrien
Taydas, Eren
Mazhar, Amaan
Scholz, Thomas
Kim, Hak-Su
Rimler, Jonathan
Evans, Gregory R. D.
Cuccia, David J.
Durkin, Anthony J.
author_facet Ponticorvo, Adrien
Taydas, Eren
Mazhar, Amaan
Scholz, Thomas
Kim, Hak-Su
Rimler, Jonathan
Evans, Gregory R. D.
Cuccia, David J.
Durkin, Anthony J.
author_sort Ponticorvo, Adrien
collection PubMed
description The use of tissue transfer flaps has become a common and effective technique for reconstructing or replacing damaged tissue. While the overall failure rate associated with these procedures is relatively low (5-10%), the failure rate of tissue flaps that require additional surgery is significantly higher (40-60%). The reason for this is largely due to the absence of a technique for objectively assessing tissue health after surgery. Here we have investigated spatial frequency domain imaging (SFDI) as a potential tool to do this. By projecting wide-field patterned illumination at multiple wavelengths onto a tissue surface, SFDI is able to quantify absolute concentrations of oxygenated and deoxygenated hemoglobin over a large field of view. We have assessed the sensitivity of SFDI in a swine pedicle flap model by using a controlled vascular occlusion system that reduced blood flow by 25%, 50%, 75%, or 100% of the baseline values in either the vein or artery. SFDI was able to detect significant changes for oxygenated hemoglobin, deoxygenated hemoglobin, or tissue oxygen saturation in partial arterial occlusions of at least 50% and partial venous occlusions of at least 25%. This shows SFDI is sensitive enough to quantify changes in the tissue hemoglobin state during partial occlusions and thus has the potential to be a powerful tool for the early prediction of tissue flap failure.
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spelling pubmed-35677162013-02-14 Quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging Ponticorvo, Adrien Taydas, Eren Mazhar, Amaan Scholz, Thomas Kim, Hak-Su Rimler, Jonathan Evans, Gregory R. D. Cuccia, David J. Durkin, Anthony J. Biomed Opt Express Diffuse Optical Imaging The use of tissue transfer flaps has become a common and effective technique for reconstructing or replacing damaged tissue. While the overall failure rate associated with these procedures is relatively low (5-10%), the failure rate of tissue flaps that require additional surgery is significantly higher (40-60%). The reason for this is largely due to the absence of a technique for objectively assessing tissue health after surgery. Here we have investigated spatial frequency domain imaging (SFDI) as a potential tool to do this. By projecting wide-field patterned illumination at multiple wavelengths onto a tissue surface, SFDI is able to quantify absolute concentrations of oxygenated and deoxygenated hemoglobin over a large field of view. We have assessed the sensitivity of SFDI in a swine pedicle flap model by using a controlled vascular occlusion system that reduced blood flow by 25%, 50%, 75%, or 100% of the baseline values in either the vein or artery. SFDI was able to detect significant changes for oxygenated hemoglobin, deoxygenated hemoglobin, or tissue oxygen saturation in partial arterial occlusions of at least 50% and partial venous occlusions of at least 25%. This shows SFDI is sensitive enough to quantify changes in the tissue hemoglobin state during partial occlusions and thus has the potential to be a powerful tool for the early prediction of tissue flap failure. Optical Society of America 2013-01-18 /pmc/articles/PMC3567716/ /pubmed/23412357 http://dx.doi.org/10.1364/BOE.4.000298 Text en ©2013 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
spellingShingle Diffuse Optical Imaging
Ponticorvo, Adrien
Taydas, Eren
Mazhar, Amaan
Scholz, Thomas
Kim, Hak-Su
Rimler, Jonathan
Evans, Gregory R. D.
Cuccia, David J.
Durkin, Anthony J.
Quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging
title Quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging
title_full Quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging
title_fullStr Quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging
title_full_unstemmed Quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging
title_short Quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging
title_sort quantitative assessment of partial vascular occlusions in a swine pedicle flap model using spatial frequency domain imaging
topic Diffuse Optical Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567716/
https://www.ncbi.nlm.nih.gov/pubmed/23412357
http://dx.doi.org/10.1364/BOE.4.000298
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