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Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report
Free tissue transfer (FTT) surgery for breast reconstruction following mastectomy has become a routine operation with high success rates. Although failure is low, it can have a devastating impact on patient recovery, prognosis, and psychological well-being. Continuous and objective monitoring of tis...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977400/ https://www.ncbi.nlm.nih.gov/pubmed/31218875 http://dx.doi.org/10.1117/1.JBO.24.6.067001 |
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author | Berthelot, Melissa Henry, Francis Patrick Hunter, Judith Leff, Daniel Wood, Simon Jallali, Navid Dex, Elizabeth Lysakova, Ladislava Lo, Benny Yang, Guang-Zhong |
author_facet | Berthelot, Melissa Henry, Francis Patrick Hunter, Judith Leff, Daniel Wood, Simon Jallali, Navid Dex, Elizabeth Lysakova, Ladislava Lo, Benny Yang, Guang-Zhong |
author_sort | Berthelot, Melissa |
collection | PubMed |
description | Free tissue transfer (FTT) surgery for breast reconstruction following mastectomy has become a routine operation with high success rates. Although failure is low, it can have a devastating impact on patient recovery, prognosis, and psychological well-being. Continuous and objective monitoring of tissue oxygen saturation ([Formula: see text]) has been shown to reduce failure rates through rapid detection time of postoperative vascular complications. We have developed a pervasive wearable wireless device that employs near-infrared spectroscopy (NIRS) to continuously monitor FTT via [Formula: see text] measurement. Previously tested on different models, the results of a clinical study are introduced. Our goal for the study is to demonstrate that the developed device can reliably detect [Formula: see text] variations in a clinical setting: 14 patients were recruited. Advanced data analysis was performed on the [Formula: see text] variations, the relative [Formula: see text] gradient change, and the classification of the [Formula: see text] within different clusters of blood occlusion level (from 0% to 100% at 25% step) based on previous studies made on a vascular phantom and animals. The outcomes of the clinical study concur with previous experimental results and the expected biological responses. This suggests that the device is able to correctly detect perfusion changes and provide real-time assessment on the viability of the FTT in a clinical setting. |
format | Online Article Text |
id | pubmed-6977400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-69774002020-02-03 Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report Berthelot, Melissa Henry, Francis Patrick Hunter, Judith Leff, Daniel Wood, Simon Jallali, Navid Dex, Elizabeth Lysakova, Ladislava Lo, Benny Yang, Guang-Zhong J Biomed Opt Sensing Free tissue transfer (FTT) surgery for breast reconstruction following mastectomy has become a routine operation with high success rates. Although failure is low, it can have a devastating impact on patient recovery, prognosis, and psychological well-being. Continuous and objective monitoring of tissue oxygen saturation ([Formula: see text]) has been shown to reduce failure rates through rapid detection time of postoperative vascular complications. We have developed a pervasive wearable wireless device that employs near-infrared spectroscopy (NIRS) to continuously monitor FTT via [Formula: see text] measurement. Previously tested on different models, the results of a clinical study are introduced. Our goal for the study is to demonstrate that the developed device can reliably detect [Formula: see text] variations in a clinical setting: 14 patients were recruited. Advanced data analysis was performed on the [Formula: see text] variations, the relative [Formula: see text] gradient change, and the classification of the [Formula: see text] within different clusters of blood occlusion level (from 0% to 100% at 25% step) based on previous studies made on a vascular phantom and animals. The outcomes of the clinical study concur with previous experimental results and the expected biological responses. This suggests that the device is able to correctly detect perfusion changes and provide real-time assessment on the viability of the FTT in a clinical setting. Society of Photo-Optical Instrumentation Engineers 2019-06-19 2019-06 /pmc/articles/PMC6977400/ /pubmed/31218875 http://dx.doi.org/10.1117/1.JBO.24.6.067001 Text en © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Sensing Berthelot, Melissa Henry, Francis Patrick Hunter, Judith Leff, Daniel Wood, Simon Jallali, Navid Dex, Elizabeth Lysakova, Ladislava Lo, Benny Yang, Guang-Zhong Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report |
title | Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report |
title_full | Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report |
title_fullStr | Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report |
title_full_unstemmed | Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report |
title_short | Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report |
title_sort | pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report |
topic | Sensing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977400/ https://www.ncbi.nlm.nih.gov/pubmed/31218875 http://dx.doi.org/10.1117/1.JBO.24.6.067001 |
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