Literature DB >> 20445445

Impedance tomography as a new monitoring technique.

Thomas Muders1, Henning Luepschen, Christian Putensen.   

Abstract

PURPOSE OF REVIEW: Electrical impedance tomography (EIT) noninvasively creates images of the local ventilation and arguably lung perfusion distribution at bedside. Methodological and clinical aspects of EIT when used as a monitoring tool in the intensive care unit are reviewed and discussed. RECENT
FINDINGS: Whereas former investigations addressed the issue of validating EIT to measure regional ventilation, current studies focus on clinical applications such as detection of pneumothorax. Furthermore, EIT has been used to quantify lung collapse and tidal recruitment in order to titrate positive end-expiratory pressure. Indicator-free EIT measurements might be sufficient for the continuous measurement of cardiac stroke volume, but assessment of regional lung perfusion presumably requires the use of a contrast agent such as hypertonic saline.
SUMMARY: Growing evidence suggests that EIT may play an important role in individually optimizing ventilator settings in critically ill patients.

Entities:  

Mesh:

Year:  2010        PMID: 20445445     DOI: 10.1097/MCC.0b013e3283390cbf

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.687


  18 in total

1.  Application of internal electrodes to the oesophageal and tracheal tube in an animal trial: evaluation of its clinical and technical potentiality in electrical impedance tomography.

Authors:  Michael Czaplik; Christoph Hoog Antink; Rolf Rossaint; Steffen Leonhardt
Journal:  J Clin Monit Comput       Date:  2013-11-27       Impact factor: 2.502

Review 2.  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 3.  Electrical impedance tomography.

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

4.  Real-Time Identification of Upper Airway Occlusion Using Electrical Impedance Tomography.

Authors:  Young Eun Kim; Eung Je Woo; Tong In Oh; Sang-Wook Kim
Journal:  J Clin Sleep Med       Date:  2019-04-15       Impact factor: 4.062

5.  Multiparametric modeling of the ineffective efforts in assisted ventilation within an ICU.

Authors:  I G Chouvarda; D Babalis; V Papaioannou; N Maglaveras; D Georgopoulos
Journal:  Med Biol Eng Comput       Date:  2015-06-17       Impact factor: 2.602

6.  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

7.  Regional distribution of ventilation in patients with obstructive sleep apnea: the role of thoracic electrical impedance tomography (EIT) monitoring.

Authors:  Filippo Bongiovanni; Benedetta Mura; Chiara Tagliaferri; Alessandra Bisanti; Elisa Testani; Riccardo Maviglia; Giacomo Della Marca
Journal:  Sleep Breath       Date:  2016-05-03       Impact factor: 2.816

8.  Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT.

Authors:  M G Crabb; J L Davidson; R Little; P Wright; A R Morgan; C A Miller; J H Naish; G J M Parker; R Kikinis; H McCann; W R B Lionheart
Journal:  Physiol Meas       Date:  2014-04-08       Impact factor: 2.833

9.  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

10.  Cardiac-related impedance changes obtained by electrical impedance tomography: an acceptable parameter for assessment of pulmonary perfusion?

Authors:  Gerhard Hellige; Guenter Hahn
Journal:  Crit Care       Date:  2011-06-01       Impact factor: 9.097

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