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Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology

A porcine model was used to investigate the feasibility of using VIS-NIR spectroscopy to differentiate between degrees of ischemia–reperfusion injury in the small intestine. Ten pigs were used in this study and four segments were created in the small intestine of each pig: (1) control, (2) full arte...

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Autores principales: Hou, Jie, Ness, Siri Schøne, Tschudi, Jon, O’Farrell, Marion, Veddegjerde, Rune, Martinsen, Ørjan Grøttem, Tønnessen, Tor Inge, Strand-Amundsen, Runar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738753/
https://www.ncbi.nlm.nih.gov/pubmed/36501812
http://dx.doi.org/10.3390/s22239111
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author Hou, Jie
Ness, Siri Schøne
Tschudi, Jon
O’Farrell, Marion
Veddegjerde, Rune
Martinsen, Ørjan Grøttem
Tønnessen, Tor Inge
Strand-Amundsen, Runar
author_facet Hou, Jie
Ness, Siri Schøne
Tschudi, Jon
O’Farrell, Marion
Veddegjerde, Rune
Martinsen, Ørjan Grøttem
Tønnessen, Tor Inge
Strand-Amundsen, Runar
author_sort Hou, Jie
collection PubMed
description A porcine model was used to investigate the feasibility of using VIS-NIR spectroscopy to differentiate between degrees of ischemia–reperfusion injury in the small intestine. Ten pigs were used in this study and four segments were created in the small intestine of each pig: (1) control, (2) full arterial and venous mesenteric occlusion for 8 h, (3) arterial and venous mesenteric occlusion for 2 h followed by reperfusion for 6 h, and (4) arterial and venous mesenteric occlusion for 4 h followed by reperfusion for 4 h. Two models were built using partial least square discriminant analysis. The first model was able to differentiate between the control, ischemic, and reperfused intestinal segments with an average accuracy of 99.2% with 10-fold cross-validation, and the second model was able to discriminate between the viable versus non-viable intestinal segments with an average accuracy of 96.0% using 10-fold cross-validation. Moreover, histopathology was used to investigate the borderline between viable and non-viable intestinal segments. The VIS-NIR spectroscopy method together with a PLS-DA model showed promising results and appears to be well-suited as a potentially real-time intraoperative method for assessing intestinal ischemia–reperfusion injury, due to its easy-to-use and non-invasive nature.
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spelling pubmed-97387532022-12-11 Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology Hou, Jie Ness, Siri Schøne Tschudi, Jon O’Farrell, Marion Veddegjerde, Rune Martinsen, Ørjan Grøttem Tønnessen, Tor Inge Strand-Amundsen, Runar Sensors (Basel) Article A porcine model was used to investigate the feasibility of using VIS-NIR spectroscopy to differentiate between degrees of ischemia–reperfusion injury in the small intestine. Ten pigs were used in this study and four segments were created in the small intestine of each pig: (1) control, (2) full arterial and venous mesenteric occlusion for 8 h, (3) arterial and venous mesenteric occlusion for 2 h followed by reperfusion for 6 h, and (4) arterial and venous mesenteric occlusion for 4 h followed by reperfusion for 4 h. Two models were built using partial least square discriminant analysis. The first model was able to differentiate between the control, ischemic, and reperfused intestinal segments with an average accuracy of 99.2% with 10-fold cross-validation, and the second model was able to discriminate between the viable versus non-viable intestinal segments with an average accuracy of 96.0% using 10-fold cross-validation. Moreover, histopathology was used to investigate the borderline between viable and non-viable intestinal segments. The VIS-NIR spectroscopy method together with a PLS-DA model showed promising results and appears to be well-suited as a potentially real-time intraoperative method for assessing intestinal ischemia–reperfusion injury, due to its easy-to-use and non-invasive nature. MDPI 2022-11-24 /pmc/articles/PMC9738753/ /pubmed/36501812 http://dx.doi.org/10.3390/s22239111 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hou, Jie
Ness, Siri Schøne
Tschudi, Jon
O’Farrell, Marion
Veddegjerde, Rune
Martinsen, Ørjan Grøttem
Tønnessen, Tor Inge
Strand-Amundsen, Runar
Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology
title Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology
title_full Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology
title_fullStr Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology
title_full_unstemmed Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology
title_short Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology
title_sort assessment of intestinal ischemia–reperfusion injury using diffuse reflectance vis-nir spectroscopy and histology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738753/
https://www.ncbi.nlm.nih.gov/pubmed/36501812
http://dx.doi.org/10.3390/s22239111
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