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Point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine

BACKGROUND: Cerebral edema is an extremely common secondary disease in post-stroke. Point-of-care testing for cerebral edema types has important clinical significance for the precise management to prevent poor prognosis. Nevertheless, there has not been a fully accepted bedside testing method for th...

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Autores principales: Li, Mingyan, Zhu, Rui, Li, Gen, Yin, Shengtong, Zeng, Lingxi, Bai, Zelin, Chen, Jingbo, Jiang, Bin, Li, Lihong, Wu, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10428563/
https://www.ncbi.nlm.nih.gov/pubmed/37582824
http://dx.doi.org/10.1186/s12938-023-01145-4
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author Li, Mingyan
Zhu, Rui
Li, Gen
Yin, Shengtong
Zeng, Lingxi
Bai, Zelin
Chen, Jingbo
Jiang, Bin
Li, Lihong
Wu, Yu
author_facet Li, Mingyan
Zhu, Rui
Li, Gen
Yin, Shengtong
Zeng, Lingxi
Bai, Zelin
Chen, Jingbo
Jiang, Bin
Li, Lihong
Wu, Yu
author_sort Li, Mingyan
collection PubMed
description BACKGROUND: Cerebral edema is an extremely common secondary disease in post-stroke. Point-of-care testing for cerebral edema types has important clinical significance for the precise management to prevent poor prognosis. Nevertheless, there has not been a fully accepted bedside testing method for that. METHODS: A symmetric cancellation near-field coupling phase shift (NFCPS) monitoring system is established based on the symmetry of the left and right hemispheres and the fact that unilateral lesions do not affect healthy hemispheres. For exploring the feasibility of this system to reflect the occurrence and development of cerebral edema, 13 rabbits divided into experimental group (n = 8) and control group (n = 5) were performed 24-h NFCPS continuous monitoring experiments. After time difference offset and feature band averaging processing, the changing trend of NFCPS at the stages dominated by cytotoxic edema (CE) and vasogenic edema (VE), respectively, was analyzed. Furthermore, the features under the different time windows were extracted. Then, a discriminative model of cerebral edema types based on support vector machines (SVM) was established and performance of multiple feature combinations was compared. RESULTS: The NFCPS monitoring outcomes of experimental group endured focal ischemia modeling by thrombin injection show a trend of first decreasing and then increasing, reaching the lowest value of − 35.05° at the 6th hour. Those of control group do not display obvious upward or downward trend and only fluctuate around the initial value with an average change of − 0.12°. Furthermore, four features under the 1-h and 2-h time windows were extracted. Based on the discriminative model of cerebral edema types, the classification accuracy of 1-h window is higher than 90% and the specificity is close to 1, which is almost the same as the performance of the 2-h window. CONCLUSION: This study proves the feasibility of NFCPS technology combined with SVM to distinguish cerebral edema types in a short time, which is promised to become a new solution for immediate and precise management of dehydration therapy after ischemic stroke. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-023-01145-4.
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spelling pubmed-104285632023-08-17 Point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine Li, Mingyan Zhu, Rui Li, Gen Yin, Shengtong Zeng, Lingxi Bai, Zelin Chen, Jingbo Jiang, Bin Li, Lihong Wu, Yu Biomed Eng Online Research BACKGROUND: Cerebral edema is an extremely common secondary disease in post-stroke. Point-of-care testing for cerebral edema types has important clinical significance for the precise management to prevent poor prognosis. Nevertheless, there has not been a fully accepted bedside testing method for that. METHODS: A symmetric cancellation near-field coupling phase shift (NFCPS) monitoring system is established based on the symmetry of the left and right hemispheres and the fact that unilateral lesions do not affect healthy hemispheres. For exploring the feasibility of this system to reflect the occurrence and development of cerebral edema, 13 rabbits divided into experimental group (n = 8) and control group (n = 5) were performed 24-h NFCPS continuous monitoring experiments. After time difference offset and feature band averaging processing, the changing trend of NFCPS at the stages dominated by cytotoxic edema (CE) and vasogenic edema (VE), respectively, was analyzed. Furthermore, the features under the different time windows were extracted. Then, a discriminative model of cerebral edema types based on support vector machines (SVM) was established and performance of multiple feature combinations was compared. RESULTS: The NFCPS monitoring outcomes of experimental group endured focal ischemia modeling by thrombin injection show a trend of first decreasing and then increasing, reaching the lowest value of − 35.05° at the 6th hour. Those of control group do not display obvious upward or downward trend and only fluctuate around the initial value with an average change of − 0.12°. Furthermore, four features under the 1-h and 2-h time windows were extracted. Based on the discriminative model of cerebral edema types, the classification accuracy of 1-h window is higher than 90% and the specificity is close to 1, which is almost the same as the performance of the 2-h window. CONCLUSION: This study proves the feasibility of NFCPS technology combined with SVM to distinguish cerebral edema types in a short time, which is promised to become a new solution for immediate and precise management of dehydration therapy after ischemic stroke. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-023-01145-4. BioMed Central 2023-08-15 /pmc/articles/PMC10428563/ /pubmed/37582824 http://dx.doi.org/10.1186/s12938-023-01145-4 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Mingyan
Zhu, Rui
Li, Gen
Yin, Shengtong
Zeng, Lingxi
Bai, Zelin
Chen, Jingbo
Jiang, Bin
Li, Lihong
Wu, Yu
Point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine
title Point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine
title_full Point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine
title_fullStr Point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine
title_full_unstemmed Point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine
title_short Point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine
title_sort point-of-care testing for cerebral edema types based on symmetric cancellation near-field coupling phase shift and support vector machine
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10428563/
https://www.ncbi.nlm.nih.gov/pubmed/37582824
http://dx.doi.org/10.1186/s12938-023-01145-4
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