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Zhong W, Ji Z, Sun C. A Review of Monitoring Methods for Cerebral Blood Oxygen Saturation. Healthcare (Basel) 2021; 9:healthcare9091104. [PMID: 34574878 PMCID: PMC8466732 DOI: 10.3390/healthcare9091104] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/13/2021] [Accepted: 07/31/2021] [Indexed: 01/02/2023] Open
Abstract
In recent years, cerebral blood oxygen saturation has become a key indicator during the perioperative period. Cerebral blood oxygen saturation monitoring is conducive to the early diagnosis and treatment of cerebral ischemia and hypoxia. The present study discusses the three most extensively used clinical methods for cerebral blood oxygen saturation monitoring from different aspects: working principles, relevant parameters, current situations of research, commonly used equipment, and relative advantages of different methods. Furthermore, through comprehensive comparisons of the methods, we find that near-infrared spectroscopy (NIRS) technology has significant potentials and broad applications prospects in terms of cerebral oxygen saturation monitoring. Despite the current NIRS technology, the only bedside non-invasive cerebral oxygen saturation monitoring technology, still has many defects, it is more in line with the future development trend in the field of medical and health, and will become the main method gradually.
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Affiliation(s)
- Wentao Zhong
- College of Bioengineering, Chongqing University, Chongqing 400044, China; (W.Z.); (C.S.)
| | - Zhong Ji
- College of Bioengineering, Chongqing University, Chongqing 400044, China; (W.Z.); (C.S.)
- Key Laboratory of Biorheological Science and Technology, Chongqing University, Ministry of Education, Chongqing 400044, China
- Correspondence:
| | - Changlong Sun
- College of Bioengineering, Chongqing University, Chongqing 400044, China; (W.Z.); (C.S.)
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Zhang D, Li R, Chen M, Vu T, Sheng H, Yang W, Hoffmann U, Luo J, Yao J. Photoacoustic imaging of in vivo hemodynamic responses to sodium nitroprusside. JOURNAL OF BIOPHOTONICS 2021; 14:e202000478. [PMID: 33768709 PMCID: PMC8263508 DOI: 10.1002/jbio.202000478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 02/17/2021] [Accepted: 03/12/2021] [Indexed: 05/25/2023]
Abstract
The in vivo hemodynamic impact of sodium nitroprusside (SNP), a widely used antihypertensive agent, has not been well studied. Here, we applied functional optical-resolution photoacoustic microscopy (OR-PAM) to study the hemodynamic responses to SNP in mice in vivo. As expected, after the application of SNP, the systemic blood pressure (BP) was reduced by 53%. The OR-PAM results show that SNP induced an arterial vasodilation of 24% and 23% in the brain and skin, respectively. A weaker venous vasodilation of 9% and 5% was also observed in the brain and skin, respectively. The results show two different types of blood oxygenation response. In mice with decreased blood oxygenation, the arterial and venous oxygenation was respectively reduced by 6% and 13% in the brain, as well as by 7% and 18% in the skin. In mice with increased blood oxygenation, arterial and venous oxygenation was raised by 4% and 22% in the brain, as well as by 1% and 9% in the skin. We observed venous change clearly lagged the arterial change in the skin, but not in the brain. Our results collectively show a correlation among SNP induced changes in systemic BP, vessel size and blood oxygenation.
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Affiliation(s)
- Dong Zhang
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Ran Li
- School of Basic Medical Sciences, North China University of Science and Technology, Tangshan, Hebei, China
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Maomao Chen
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Tri Vu
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Huaxin Sheng
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Wei Yang
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Ulrike Hoffmann
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Jianwen Luo
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
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