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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.
Li, Mingyan; Zhu, Rui; Li, Gen; Yin, Shengtong; Zeng, Lingxi; Bai, Zelin; Chen, Jingbo; Jiang, Bin; Li, Lihong; Wu, Yu.
Afiliação
  • Li M; School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, China.
  • Zhu R; College of Artificial Intelligence, Chongqing University of Technology, Chongqing, 401135, China.
  • Li G; School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, China.
  • Yin S; School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, China. ligen1990@cqut.edu.cn.
  • Zeng L; Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, 400038, China. ligen1990@cqut.edu.cn.
  • Bai Z; School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, China.
  • Chen J; School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, China.
  • Jiang B; College of Biomedical Engineering, Army Medical University, Chongqing, 400038, China.
  • Li L; College of Biomedical Engineering, Army Medical University, Chongqing, 400038, China.
  • Wu Y; College of Artificial Intelligence, Chongqing University of Technology, Chongqing, 401135, China.
Biomed Eng Online ; 22(1): 80, 2023 Aug 15.
Article em En | MEDLINE | ID: mdl-37582824
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Edema Encefálico / Acidente Vascular Cerebral Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Edema Encefálico / Acidente Vascular Cerebral Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article