Literature DB >> 23842194

Intracranial electrical impedance tomography: a method of continuous monitoring in an animal model of head trauma.

Preston K Manwaring1, Karen L Moodie, Alexander Hartov, Kim H Manwaring, Ryan J Halter.   

Abstract

BACKGROUND: Electrical impedance tomography (EIT) is a method that can render continuous graphical cross-sectional images of the brain's electrical properties. Because these properties can be altered by variations in water content, shifts in sodium concentration, bleeding, and mass deformation, EIT has promise as a sensitive instrument for head injury monitoring to improve early recognition of deterioration and to observe the benefits of therapeutic intervention. This study presents a swine model of head injury used to determine the detection capabilities of an inexpensive bedside EIT monitoring system with a novel intracranial pressure (ICP)/EIT electrode combination sensor on induced intraparenchymal mass effect, intraparenchymal hemorrhage, and cessation of brain blood flow. Conductivity difference images are shown in conjunction with ICP data, confirming the effects.
METHODS: Eight domestic piglets (3-4 weeks of age, mean 10 kg), under general anesthesia, were subjected to 4 injuries: induced intraparenchymal mass effect using an inflated, and later, deflated 0.15-mL Fogarty catheter; hemorrhage by intraparenchymal injection of 1-mL arterial blood; and ischemia/infarction by euthanasia. EIT and ICP data were recorded 10 minutes before inducing the injury until 10 minutes after injury. Continuous EIT and ICP monitoring were facilitated by a ring of circumferentially disposed cranial Ag/AgCl electrodes and 1 intraparenchymal ICP/EIT sensor electrode combination. Data were recorded at 100 Hz. Two-dimensional tomographic conductivity difference (Δσ) images, rendered using data before and after an injury, were displayed in real time on an axial circular mesh. Regions of interest (ROI) within the images were automatically selected as the upper or lower 5% of conductivity data depending on the nature of the injury. Mean Δσ within the ROIs and background were statistically analyzed. ROI Δσ was compared with the background Δσ after an injury event using an unpaired, unequal variance t test. Conductivity change within an ROI after injury was likewise compared with the same ROI before the injury making use of unpaired t tests with unequal variance.
RESULTS: Eight animal subjects were studied, each undergoing 4 injury events including euthanasia. Changes in conductivity due to injury showed expected pathophysiologic effects in an ROI identified within the middle of the left hemisphere; this localization is reasonable given the actual site of injury (left hemisphere) and spatial warping associated with estimating a 3-dimensional conductivity distribution in 2-dimensional space. Results are shown as mean ± 1 SD. When averaged across all 8 animals, balloon inflation caused the mean Δσ within the ROI to shift by -11.4 ± 10.9 mS/m; balloon deflation by +9.4 ± 8.8 mS/m; blood injection by +19.5 ± 11.5 mS/m; death by -12.6 ± 13.2 mS/m. All induced injuries were detectable to statistical significance (P < 0.0001).
CONCLUSION: This study confirms that the bedside EIT system with ICP/EIT combination sensor can detect induced trauma. Such a technique may hold promise for further research in the monitoring and management of traumatically brain-injured individuals.

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Mesh:

Year:  2013        PMID: 23842194      PMCID: PMC3783592          DOI: 10.1213/ANE.0b013e318290c7b7

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  22 in total

1.  Finite element implementation of Maxwell's equations for image reconstruction in electrical impedance tomography.

Authors:  Nirmal K Soni; Keith D Paulsen; Hamid Dehghani; Alex Hartov
Journal:  IEEE Trans Med Imaging       Date:  2006-01       Impact factor: 10.048

2.  Pseudo-polar drive patterns for brain electrical impedance tomography.

Authors:  Xuetao Shi; Xiuzhen Dong; Wanjun Shuai; Fusheng You; Feng Fu; Ruigang Liu
Journal:  Physiol Meas       Date:  2006-09-11       Impact factor: 2.833

3.  Experimental justification for using 3D conductivity reconstructions in electrical impedance tomography.

Authors:  Ryan J Halter; Alex Hartov; Keith D Paulsen
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

4.  Video rate electrical impedance tomography of vascular changes: preclinical development.

Authors:  Ryan Halter; Alex Hartov; Keith Paulsen
Journal:  Physiol Meas       Date:  2008-02-22       Impact factor: 2.833

5.  Real-time imaging and detection of intracranial haemorrhage by electrical impedance tomography in a piglet model.

Authors:  C H Xu; L Wang; X T Shi; F S You; F Fu; R G Liu; M Dai; Z W Zhao; G D Gao; X Z Dong
Journal:  J Int Med Res       Date:  2010 Sep-Oct       Impact factor: 1.671

6.  Improvement of the positional accuracy of EIT images of the head using a Lagrange multiplier reconstruction algorithm with diametric excitation.

Authors:  R H Bayford; K G Boone; Y Hanquan; D S Holder
Journal:  Physiol Meas       Date:  1996-11       Impact factor: 2.833

7.  On the distribution of the unpaired t-statistic with paired data.

Authors:  M A Proschan
Journal:  Stat Med       Date:  1996-05-30       Impact factor: 2.373

8.  Electromagnetic breast imaging: results of a pilot study in women with abnormal mammograms.

Authors:  Steven P Poplack; Tor D Tosteson; Wendy A Wells; Brian W Pogue; Paul M Meaney; Alexander Hartov; Christine A Kogel; Sandra K Soho; Jennifer J Gibson; Keith D Paulsen
Journal:  Radiology       Date:  2007-03-30       Impact factor: 11.105

9.  Detection of intraventricular blood using EIT in a neonatal piglet model.

Authors:  R J Sadleir; Te Tang; Aaron S Tucker; Peggy Borum; Michael Weiss
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 10.  Moderate and severe traumatic brain injury in adults.

Authors:  Andrew I R Maas; Nino Stocchetti; Ross Bullock
Journal:  Lancet Neurol       Date:  2008-08       Impact factor: 44.182

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  15 in total

1.  Novel Electrode Placement in Electrical Bioimpedance-Based Stroke Detection: Effects on Current Penetration and Injury Characterization in a Finite Element Model.

Authors:  Theodore S Bronk; Alicia C Everitt; Ethan K Murphy; Ryan J Halter
Journal:  IEEE Trans Biomed Eng       Date:  2022-04-21       Impact factor: 4.756

2.  Multi-frequency electrical impedance tomography and neuroimaging data in stroke patients.

Authors:  Nir Goren; James Avery; Thomas Dowrick; Eleanor Mackle; Anna Witkowska-Wrobel; David Werring; David Holder
Journal:  Sci Data       Date:  2018-07-03       Impact factor: 6.444

3.  Quantitative research on the interaction between cerebral edema and peripheral cerebral blood perfusion using swept-source optical coherence tomography.

Authors:  Jian Liu; Yan Li; Yang Lin; Ziyue Meng; Xuyang Guo; Yao Yu; Zhenhe Ma
Journal:  Quant Imaging Med Surg       Date:  2021-03

4.  Sparse image reconstruction of intracerebral hemorrhage with electrical impedance tomography.

Authors:  Yanyan Shi; Yuehui Wu; Meng Wang; Zhiwei Tian; Xiaolong Kong; Xiaoyue He
Journal:  J Med Imaging (Bellingham)       Date:  2021-01-13

5.  Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations.

Authors:  Stefan Candefjord; Johan Winges; Ahzaz Ahmad Malik; Yinan Yu; Thomas Rylander; Tomas McKelvey; Andreas Fhager; Mikael Elam; Mikael Persson
Journal:  Med Biol Eng Comput       Date:  2016-10-13       Impact factor: 2.602

6.  In Vivo Bioimpedance Spectroscopy Characterization of Healthy, Hemorrhagic and Ischemic Rabbit Brain within 10 Hz-1 MHz.

Authors:  Lin Yang; Wenbo Liu; Rongqing Chen; Ge Zhang; Weichen Li; Feng Fu; Xiuzhen Dong
Journal:  Sensors (Basel)       Date:  2017-04-07       Impact factor: 3.576

7.  A Versatile and Reproducible Multi-Frequency Electrical Impedance Tomography System.

Authors:  James Avery; Thomas Dowrick; Mayo Faulkner; Nir Goren; David Holder
Journal:  Sensors (Basel)       Date:  2017-01-31       Impact factor: 3.576

8.  Comparison of electrical impedance tomography and intracranial pressure during dehydration treatment of cerebral edema.

Authors:  Bin Yang; Bing Li; Canhua Xu; Shijie Hu; Meng Dai; Junying Xia; Peng Luo; Xuetao Shi; Zhanqi Zhao; Xiuzhen Dong; Zhou Fei; Feng Fu
Journal:  Neuroimage Clin       Date:  2019-06-26       Impact factor: 4.881

9.  Cerebral edema detection in vivo after middle cerebral artery occlusion using swept-source optical coherence tomography.

Authors:  Jian Liu; Yan Li; Yao Yu; Xincheng Yuan; Hongyu Lv; Yuqian Zhao; Zhenhe Ma
Journal:  Neurophotonics       Date:  2019-11-07       Impact factor: 3.593

10.  Electrical Impedance Changes at Different Phases of Cerebral Edema in Rats with Ischemic Brain Injury.

Authors:  Jiali Song; Rongqing Chen; Lin Yang; Ge Zhang; Weichen Li; Zhanqi Zhao; Canhua Xu; Xiuzhen Dong; Feng Fu
Journal:  Biomed Res Int       Date:  2018-06-04       Impact factor: 3.411

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