Literature DB >> 29430443

Electrical impedance tomography.

Beatriz Lobo1,2, Cecilia Hermosa1,2, Ana Abella1,2, Federico Gordo1,2.   

Abstract

Continuous assessment of respiratory status is one of the cornerstones of modern intensive care unit (ICU) monitoring systems. Electrical impedance tomography (EIT), although with some constraints, may play the lead as a new diagnostic and guiding tool for an adequate optimization of mechanical ventilation in critically ill patients. EIT may assist in defining mechanical ventilation settings, assess distribution of tidal volume and of end-expiratory lung volume (EELV) and contribute to titrate positive end-expiratory pressure (PEEP)/tidal volume combinations. It may also quantify gains (recruitment) and losses (overdistention or derecruitment), granting a more realistic evaluation of different ventilator modes or recruitment maneuvers, and helping in the identification of responders and non-responders to such maneuvers. Moreover, EIT also contributes to the management of life-threatening lung diseases such as pneumothorax, and aids in guiding fluid management in the critical care setting. Lastly, assessment of cardiac function and lung perfusion through electrical impedance is on the way.

Entities:  

Keywords:  Acute lung injury; critical care; electric impedance; physiologic monitoring; respiratory distress syndrome

Year:  2018        PMID: 29430443      PMCID: PMC5799136          DOI: 10.21037/atm.2017.12.06

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  70 in total

1.  Regional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse.

Authors:  João Batista Borges; Fernando Suarez-Sipmann; Stephan H Bohm; Gerardo Tusman; Alexandre Melo; Enn Maripuu; Mattias Sandström; Marcelo Park; Eduardo L V Costa; Göran Hedenstierna; Marcelo Amato
Journal:  J Appl Physiol (1985)       Date:  2011-09-29

2.  A new non-radiological method to assess potential lung recruitability: a pilot study in ALI patients.

Authors:  K Lowhagen; S Lindgren; H Odenstedt; O Stenqvist; S Lundin
Journal:  Acta Anaesthesiol Scand       Date:  2010-10-29       Impact factor: 2.105

3.  Regional lung derecruitment after endotracheal suction during volume- or pressure-controlled ventilation: a study using electric impedance tomography.

Authors:  Sophie Lindgren; Helena Odenstedt; Cecilia Olegård; Sören Söndergaard; Stefan Lundin; Ola Stenqvist
Journal:  Intensive Care Med       Date:  2006-10-27       Impact factor: 17.440

4.  Electric properties of flowing blood and impedance cardiography.

Authors:  K R Visser
Journal:  Ann Biomed Eng       Date:  1989       Impact factor: 3.934

5.  Effect of high-flow nasal cannula and body position on end-expiratory lung volume: a cohort study using electrical impedance tomography.

Authors:  Jordi Riera; Purificación Pérez; Jordi Cortés; Oriol Roca; Joan Ramon Masclans; Jordi Rello
Journal:  Respir Care       Date:  2013-04       Impact factor: 2.258

Review 6.  Electrical impedance tomography imaging of the cardiopulmonary system.

Authors:  Inéz Frerichs; Tobias Becher; Norbert Weiler
Journal:  Curr Opin Crit Care       Date:  2014-06       Impact factor: 3.687

7.  Regional ventilation redistribution measured by electrical impedance tomography during spontaneous breathing trial with automatic tube compensation.

Authors:  Yeong-Long Hsu; Ai-Jia Tien; Mei-Yun Chang; Hao-Tai Chang; Knut Möller; Inéz Frerichs; Zhanqi Zhao
Journal:  Physiol Meas       Date:  2017-03-15       Impact factor: 2.833

8.  Effect of mechanical ventilation on inflammatory mediators in patients with acute respiratory distress syndrome: a randomized controlled trial.

Authors:  V M Ranieri; P M Suter; C Tortorella; R De Tullio; J M Dayer; A Brienza; F Bruno; A S Slutsky
Journal:  JAMA       Date:  1999-07-07       Impact factor: 56.272

9.  PEEP titration guided by ventilation homogeneity: a feasibility study using electrical impedance tomography.

Authors:  Zhanqi Zhao; Daniel Steinmann; Inéz Frerichs; Josef Guttmann; Knut Möller
Journal:  Crit Care       Date:  2010-01-30       Impact factor: 9.097

Review 10.  Clinical review: Lung imaging in acute respiratory distress syndrome patients--an update.

Authors:  Davide Chiumello; Sara Froio; Belaïd Bouhemad; Luigi Camporota; Silvia Coppola
Journal:  Crit Care       Date:  2013-11-18       Impact factor: 9.097

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  8 in total

1.  Impedance Imaging of Cells and Tissues: Design and Applications.

Authors:  Raziyeh Bounik; Fernando Cardes; Hasan Ulusan; Mario M Modena; Andreas Hierlemann
Journal:  BME Front       Date:  2022-06-09

2.  Electromagnetic acoustic imaging methods: resolution, signal-to-noise, and image contrast in phantoms.

Authors:  Jane F Emerson; David B Chang; Stuart McNaughton; Ellen M Emerson; Stephen A Cerwin
Journal:  J Med Imaging (Bellingham)       Date:  2021-12-20

Review 3.  Biomedical engineer's guide to the clinical aspects of intensive care mechanical ventilation.

Authors:  Vincent J Major; Yeong Shiong Chiew; Geoffrey M Shaw; J Geoffrey Chase
Journal:  Biomed Eng Online       Date:  2018-11-12       Impact factor: 2.819

4.  Evaluation of inhaled salbutamol effectiveness under supportive use of electrical impedance tomography in ventilated ICU patients: study protocol for a randomised controlled clinical trial.

Authors:  Tim Rahmel; Alexandra Koniusch; Martin Schwertner; Günther Oprea; Michael Adamzik; Hartmuth Nowak
Journal:  BMJ Open       Date:  2019-03-12       Impact factor: 2.692

5.  Electrical impedance tomography during spontaneous breathing trials and after extubation in critically ill patients at high risk for extubation failure: a multicenter observational study.

Authors:  Federico Longhini; Jessica Maugeri; Cristina Andreoni; Chiara Ronco; Andrea Bruni; Eugenio Garofalo; Corrado Pelaia; Camilla Cavicchi; Sergio Pintaudi; Paolo Navalesi
Journal:  Ann Intensive Care       Date:  2019-08-13       Impact factor: 6.925

6.  Comparison of two experimental ARDS models in pigs using electrical impedance tomography.

Authors:  Nadine Hochhausen; Jakob Orschulik; Andreas Follmann; Susana Aguiar Santos; Henriette Dohmeier; Steffen Leonhardt; Rolf Rossaint; Michael Czaplik
Journal:  PLoS One       Date:  2019-11-13       Impact factor: 3.240

7.  Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.

Authors:  Arne Peine; Ahmed Hallawa; Johannes Bickenbach; Guido Dartmann; Lejla Begic Fazlic; Anke Schmeink; Gerd Ascheid; Christoph Thiemermann; Andreas Schuppert; Ryan Kindle; Leo Celi; Gernot Marx; Lukas Martin
Journal:  NPJ Digit Med       Date:  2021-02-19

8.  A bioimpedance-based monitor for real-time detection and identification of secondary brain injury.

Authors:  Alicia Everitt; Brandon Root; Daniel Calnan; Preston Manwaring; David Bauer; Ryan Halter
Journal:  Sci Rep       Date:  2021-07-29       Impact factor: 4.379

  8 in total

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