Literature DB >> 19332893

The detection of pleural effusion using a parametric EIT technique.

M Arad1, S Zlochiver, T Davidson, Y Shoenfeld, A Adunsky, S Abboud.   

Abstract

The bioimpedance technique provides a safe, low-cost and non-invasive alternative for routine monitoring of lung fluid levels in patients. In this study we have investigated the feasibility of bioimpedance measurements to monitor pleural effusion (PE) patients. The measurement system (eight-electrode thoracic belt, opposite sequential current injections, 3 mA, 20 kHz) employed a parametric reconstruction algorithm to assess the left and right lung resistivity values. Bioimpedance measurements were taken before and after the removal of pleural fluids, while the patient was sitting at rest during tidal respiration in order to minimize movements of the thoracic cavity. The mean resistivity difference between the lung on the side with PE and the lung on the other side was -48 Omega cm. A high correlation was found between the mean lung resistivity value before the removal of the fluids and the volume of pleural fluids removed, with a sensitivity of -0.17 Omega cm ml(-1) (linear regression, R=0.53). The present study further supports the feasibility and applicability of the bioimpedance technique, and specifically the approach of parametric left and right lung resistivity reconstruction, in monitoring lung patients.

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Mesh:

Year:  2009        PMID: 19332893     DOI: 10.1088/0967-3334/30/4/006

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  11 in total

Review 1.  Electrical impedance tomography: the holy grail of ventilation and perfusion monitoring?

Authors:  Steffen Leonhardt; Burkhard Lachmann
Journal:  Intensive Care Med       Date:  2012-09-20       Impact factor: 17.440

Review 2.  Electrical impedance tomography.

Authors:  Beatriz Lobo; Cecilia Hermosa; Ana Abella; Federico Gordo
Journal:  Ann Transl Med       Date:  2018-01

3.  Calderón's Method with a Spatial Prior for 2-D EIT Imaging of Ventilation and Perfusion.

Authors:  Kwancheol Shin; Jennifer L Mueller
Journal:  Sensors (Basel)       Date:  2021-08-21       Impact factor: 3.847

4.  DYNAMIC OPTIMIZED PRIORS FOR D-BAR RECONSTRUCTIONS OF HUMAN VENTILATION USING ELECTRICAL IMPEDANCE TOMOGRAPHY.

Authors:  Melody Alsaker; Jennifer L Mueller; Rashmi Murthy
Journal:  J Comput Appl Math       Date:  2018-08-13       Impact factor: 2.621

5.  Automatic segmentation and measurement of pleural effusions on CT.

Authors:  Jianhua Yao; John Bliton; Ronald M Summers
Journal:  IEEE Trans Biomed Eng       Date:  2013-01-29       Impact factor: 4.538

6.  Reconstruction of Organ Boundaries With Deep Learning in the D-Bar Method for Electrical Impedance Tomography.

Authors:  Michael Capps; Jennifer L Mueller
Journal:  IEEE Trans Biomed Eng       Date:  2021-02-18       Impact factor: 4.538

7.  Feasibility of bioelectrical impedance spectroscopy measurement before and after thoracentesis.

Authors:  Matthias Daniel Zink; Sören Weyer; Karolin Pauly; Andreas Napp; Michael Dreher; Steffen Leonhardt; Nikolaus Marx; Patrick Schauerte; Karl Mischke
Journal:  Biomed Res Int       Date:  2015-03-11       Impact factor: 3.411

8.  Effect of zinc versus vitamin A supplementation on pediatric patients with community-acquired pneumonia.

Authors:  Aya Saied; Radwa Maher El Borolossy; Mourad Alfy Ramzy; Nagwa A Sabri
Journal:  Front Pharmacol       Date:  2022-08-30       Impact factor: 5.988

9.  Complementary use of priors for pulmonary imaging with electrical impedance and ultrasound computed tomography.

Authors:  Melody Alsaker; Diego Armando Cardona Cárdenas; Sérgio Shiguemi Furuie; Jennifer L Mueller
Journal:  J Comput Appl Math       Date:  2021-04-20       Impact factor: 2.872

10.  Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study.

Authors:  Lin Yang; Chao Zhang; Wenbo Liu; Hang Wang; Junying Xia; Benyuan Liu; Xuetao Shi; Xiuzhen Dong; Feng Fu; Meng Dai
Journal:  Biomed Res Int       Date:  2020-02-27       Impact factor: 3.411

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