A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography
Abstract Background Acute and critical neurological diseases are often accompanied with elevated intracranial pressure (ICP), leading to insufficient cerebral perfusion, which may cause severe secondary lesion. Existing ICP monitoring techniques often fail to effectively meet the demand for real-tim...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | Fluids and Barriers of the CNS |
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| Online Access: | https://doi.org/10.1186/s12987-025-00619-y |
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| author | Ming-xu Zhu Jun-yao Li Zhan-xiu Cai Yu Wang Wei-ce Wang Yi-tong Guo Guo-bin Gao Qing-dong Guo Xue-tao Shi Wei-chen Li |
| author_facet | Ming-xu Zhu Jun-yao Li Zhan-xiu Cai Yu Wang Wei-ce Wang Yi-tong Guo Guo-bin Gao Qing-dong Guo Xue-tao Shi Wei-chen Li |
| author_sort | Ming-xu Zhu |
| collection | DOAJ |
| description | Abstract Background Acute and critical neurological diseases are often accompanied with elevated intracranial pressure (ICP), leading to insufficient cerebral perfusion, which may cause severe secondary lesion. Existing ICP monitoring techniques often fail to effectively meet the demand for real-time noninvasive ICP monitoring and warning. This study aimed to explore the use of electrical impedance tomography (EIT) to provide real-time early warning of elevated ICP by observing cerebral perfusion. Methods An intracranial hypertension model was prepared by injecting autologous un-anticoagulated blood into the brain parenchyma of twelve Landrace swine. Invasive ICP monitoring was used as a control method, and a high-precision EIT system was used to acquire and analyze the changing patterns of cerebral perfusion EIT image parameters with respect to ICP. Four EIT parameters related to cerebral perfusion were extracted from the images, and their potential application in detecting ICP elevation was analyzed. Results When ICP increased, all EIT perfusion parameters decreased significantly (P < 0.05). When the subjects were in a state of intracranial hypertension (ICP > 22 mmHg), the correlation between EIT perfusion parameters and ICP was more significant (P < 0.01), with correlation coefficients ranging from −0.72 to −0.83. We tested the objects when they were in baseline ICP and in ICP of 15–40 mmHg. Under both circumstances, ROC curve analysis showed that the comprehensive model of perfusion parameters based on the random forest algorithm had a sensitivity and specificity of more than 90% and an area under the curve (AUC) of more than 0.9 for detecting ICP increments of both 5 and 10 mmHg. Conclusion This study demonstrates the feasibility of using perfusion EIT to detect ICP increases in real time, which may provide a new method for real-time non-invasive monitoring of patients with increased ICP. |
| format | Article |
| id | doaj-art-b51106eddc5c4df8bc0b9642c3bbf8fc |
| institution | Kabale University |
| issn | 2045-8118 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Fluids and Barriers of the CNS |
| spelling | doaj-art-b51106eddc5c4df8bc0b9642c3bbf8fc2025-01-26T12:48:28ZengBMCFluids and Barriers of the CNS2045-81182025-01-0122111310.1186/s12987-025-00619-yA novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomographyMing-xu Zhu0Jun-yao Li1Zhan-xiu Cai2Yu Wang3Wei-ce Wang4Yi-tong Guo5Guo-bin Gao6Qing-dong Guo7Xue-tao Shi8Wei-chen Li9Department of Biomedical Engineering, Air Force Medical UniversityDepartment of Biomedical Engineering, Air Force Medical UniversityCollege of Life Science and Technology, Shandong Second Medical UniversityInstitute of Medical Research, Northwestern Polytechnical UniversityDepartment of Biomedical Engineering, Air Force Medical UniversityDepartment of Biomedical Engineering, Air Force Medical UniversityFaculty of Electrical and Control Engineering, Liaoning Technical UniversityDepartment of Neurosurgery, Xijing Hospital, Air Force Medical UniversityDepartment of Biomedical Engineering, Air Force Medical UniversityDepartment of Biomedical Engineering, Air Force Medical UniversityAbstract Background Acute and critical neurological diseases are often accompanied with elevated intracranial pressure (ICP), leading to insufficient cerebral perfusion, which may cause severe secondary lesion. Existing ICP monitoring techniques often fail to effectively meet the demand for real-time noninvasive ICP monitoring and warning. This study aimed to explore the use of electrical impedance tomography (EIT) to provide real-time early warning of elevated ICP by observing cerebral perfusion. Methods An intracranial hypertension model was prepared by injecting autologous un-anticoagulated blood into the brain parenchyma of twelve Landrace swine. Invasive ICP monitoring was used as a control method, and a high-precision EIT system was used to acquire and analyze the changing patterns of cerebral perfusion EIT image parameters with respect to ICP. Four EIT parameters related to cerebral perfusion were extracted from the images, and their potential application in detecting ICP elevation was analyzed. Results When ICP increased, all EIT perfusion parameters decreased significantly (P < 0.05). When the subjects were in a state of intracranial hypertension (ICP > 22 mmHg), the correlation between EIT perfusion parameters and ICP was more significant (P < 0.01), with correlation coefficients ranging from −0.72 to −0.83. We tested the objects when they were in baseline ICP and in ICP of 15–40 mmHg. Under both circumstances, ROC curve analysis showed that the comprehensive model of perfusion parameters based on the random forest algorithm had a sensitivity and specificity of more than 90% and an area under the curve (AUC) of more than 0.9 for detecting ICP increments of both 5 and 10 mmHg. Conclusion This study demonstrates the feasibility of using perfusion EIT to detect ICP increases in real time, which may provide a new method for real-time non-invasive monitoring of patients with increased ICP.https://doi.org/10.1186/s12987-025-00619-yIntracranial pressureCerebral perfusionElectrical impedance tomographyCerebral autoregulation |
| spellingShingle | Ming-xu Zhu Jun-yao Li Zhan-xiu Cai Yu Wang Wei-ce Wang Yi-tong Guo Guo-bin Gao Qing-dong Guo Xue-tao Shi Wei-chen Li A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography Fluids and Barriers of the CNS Intracranial pressure Cerebral perfusion Electrical impedance tomography Cerebral autoregulation |
| title | A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography |
| title_full | A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography |
| title_fullStr | A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography |
| title_full_unstemmed | A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography |
| title_short | A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography |
| title_sort | novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography |
| topic | Intracranial pressure Cerebral perfusion Electrical impedance tomography Cerebral autoregulation |
| url | https://doi.org/10.1186/s12987-025-00619-y |
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