Electrical impedance tomography is a noninvasive and radiation-free imaging tool that has been applied in different fields of medicine.1–3  Electrical impedance tomography uses a harmless alternating electrical current injection in an array of electrodes to create an image of body tissue. The electrical potential, or voltage, is measured at the skin surface and converted into images by applying a reconstruction algorithm.1,4,5  Ventilation results in variations in thorax impedance, given the size and proximity of the lungs to the chest wall. Thus, electrical impedance tomography can be applied to dynamically monitor lung ventilation at the bedside intermittently or continuously.6,7 

Electrical impedance tomography has become a frequently used imaging method in experimental and clinical research on lung injury fueled by the steep increase in studies about ventilator-associated lung injury8  and protective mechanical ventilation.7,9,10  Not surprisingly, electrical impedance tomography use in clinical practice is increasing within intensive care units and operative rooms.3,11,12  The expansion of electrical impedance tomography requires properly executed examinations to ensure reliable image acquisition and appropriate clinical interpretation. Previous reviews addressed electrical impedance tomography indications, diagnostic accuracy, sensitivity, limitations, and perspectives.1–3,5,13–18  This review highlights potential missteps that may occur before, during, and after an electrical impedance tomography examination. It proposes useable preventive approaches and solutions. The review is framed on the sequence of steps required for electrical impedance tomography lung imaging and analysis recommended by Adler et al.16  and Frerichs et al.19  The review sections include (1) the device and placing the electrodes, (2) capturing raw data, (3) image reconstruction, (4) generating waveforms, and (5) interpreting the impedance images and the calculated measures.

The appropriate application of electrical impedance tomography and the interpretation of its data requires a basic understanding of electrical engineering and bioimpedance. In an electrical circuit, the flow of electricity depends on the voltage and the impedance. The flow of electrical current can be direct (steady flow) or alternating (backward and forward). In a condition of steady flow, the basic concept of an electric circuit is analogous to the movement of water in a pipe,20  where the voltage represents the pressure exerted across the pipe (i.e., “pressure” on charged particles), the current is the water flow (i.e., the amount of charged particles per unit of time), the resistance is the difficulty imposed to water flow (i.e., opposition to the electrical current by a resistor).20  In an alternating current system, in addition to the resistance to water flow, the effect of impedance can be represented by an elastic pipe, able to store and release energy depending on the variations in pressure and flow.

When biologic tissue or fluid is subjected to applied current, its electrical properties dictate the resulting voltage. These electrical properties are primarily resistance and capacitive reactance. The total opposition to an alternating current through tissues is termed impedance, an abstract physical variable, mathematically complex, that accounts for both resistance and capacitive reactance. The capacitive reactance opposition to an alternating current is inversely proportional to its frequency. Impedance can be expressed as a modulus or magnitude, denoted by |Z| and measured in ohms, and a phase, the difference in phase between current and voltage waveforms, denoted by φ and measured in degrees.4,20 

Biologic tissues and fluids have different electrical properties due to their intracellular and extracellular composition, generating different voltages when current is applied. The extracellular and intracellular spaces have salt ions, and thus are efficient electricity carriers, whereas the cellular lipid membranes work as insulators.4,20–22  “Impeditivity,” “resistivity,” and “reactivity” are the material properties adjusted for a unit of tissue (for example, impeditivity = impedance × area/length). However, several publications may address them as “impedance,” “resistance,” and “reactance.”

In the case of electrical impedance tomography, an alternating electrical current is applied via surface electrodes, then the subsequent voltage is measured. The current electrical impedance tomography devices estimate the variation of impeditivity, and the applied alternating current has low intensity (5 to 10 mA) and high frequency (50 to 125 KHz). It is harmless to biologic tissues and imperceptible to patients.1,2,4,5,13,20,22 

The first electrical impedance tomography image reported was of a human forearm in the early 1980s by Barber et al.23  Since then, electrical impedance tomography has quickly emerged as an imaging technique for other body tissues, including the lungs.24  This review pertains to the application of electrical impedance tomography in lung imaging.

Devices and Electrodes Placement

Over the years, electrical impedance tomography devices have become portable, commercially available, and less expensive.5,15  In 2017, the U.S. Food and Drug Administration (Silver Spring, Maryland) approved electrical impedance tomography as a class II device that provides information on variations in regional air content across a section of the thorax in adult patients requiring mechanical ventilation. Electrical impedance tomography is not recommended in patients with pacemakers, defibrillators, and neurostimulators because it is unknown whether electrical impedance tomography interferes with their function (fig. 1). Moreover, the magnetic resonance imaging compatibility of electrical impedance tomography has not been tested.

Fig. 1.

Electrical impedance tomography electrodes array placed in a patient with a deactivated implantable cardioverter defibrillator. After the electrical impedance tomography imaging started, spikes appeared on the electrocardiogram traces (represented by the black arrows). Once the electrical impedance tomography belt was disconnected and removed, the spikes disappeared.

Fig. 1.

Electrical impedance tomography electrodes array placed in a patient with a deactivated implantable cardioverter defibrillator. After the electrical impedance tomography imaging started, spikes appeared on the electrocardiogram traces (represented by the black arrows). Once the electrical impedance tomography belt was disconnected and removed, the spikes disappeared.

Close modal

Depending on the manufacturer, the chest perimeter, and the shape of the belts, the number of electrodes varies from 8 to 32.5  In general, an approximately 4-cm-wide electrodes belt is placed around the circumference of the chest wall for an adult patient. An important limitation of electrical impedance tomography is that the current moves diffusely within body tissue and tends to remain closer to the injecting electrodes (capturing information that is not of interest) instead of flowing deeper into the area of interest.16,25  Different ways of current injection have been tested to monitor this phenomenon. The current can be injected simultaneously by a pair of electrodes or by multiple electrodes. The most common is a pair of electrodes injecting alternating electrical current around the chest wall, and, simultaneously, all electrodes measure the surface potentials. Depending on the device, the measurements from the electrodes injecting current may or may not be used to reduce the contact impedance influence on the image. Depending on the manufacturer, the pair of electrodes can be adjacent or have an adjustable skip, usually, three interposed passive electrodes.5 

Choosing the Thoracic Plane

The thoracic plane on which the electrode belt is placed is crucial for electrical impedance tomography measurement and its reproducibility. Transverse plane placement is the most common option, and, before each belt placement, one should determine if the selected thoracic plane will cover the event of interest.5  The transverse thoracic planes can be divided craniocaudally, being the most cranial level right below the armpit at the third to fourth intercostal space, the middle level at the fifth intercostal space, and the most caudal level at the sixth and seventh intercostal space. If the electrode belt is placed cranially, the electrodes will be more distant, reaching obliquely dorsal portions of the lungs, which are regions at higher risk of atelectasis when compared with other regions of the lungs in patients with acute respiratory failure. The middle level (fifth intercostal space) is the thoracic plane suggested for placement by most authors, because it is considered the region where the intrathoracic structures are less affected by changes in position.26–28  If belts are placed below the sixth intercostal space (caudal), the diaphragm is more likely to disrupt the impedance measurements (fig. 2).

Fig. 2.

During electrical impedance tomography electrode-belt placement, it is important to consider the elected plan and lung regions of interest. (A) The computed tomography images show the elected plane for the electrical impedance tomography belt placement in two swine with acute respiratory distress syndrome. (Swine 1, B) At this plane, the electrodes are closer to the region of interest (i.e., lung regions with a higher risk of collapse). (C) The plane 4 cm below the electrode plane includes the diaphragm. (Swine 2, B) At this plane, the electrodes are more distant from the region of interest and more likely to generate measurement underestimating collapse. (C) The plane 4 cm below the plane of the electrodes has more collapsed regions and no diaphragm; if placed at this level, the electrode array would be closed to the region of interest.

Fig. 2.

During electrical impedance tomography electrode-belt placement, it is important to consider the elected plan and lung regions of interest. (A) The computed tomography images show the elected plane for the electrical impedance tomography belt placement in two swine with acute respiratory distress syndrome. (Swine 1, B) At this plane, the electrodes are closer to the region of interest (i.e., lung regions with a higher risk of collapse). (C) The plane 4 cm below the electrode plane includes the diaphragm. (Swine 2, B) At this plane, the electrodes are more distant from the region of interest and more likely to generate measurement underestimating collapse. (C) The plane 4 cm below the plane of the electrodes has more collapsed regions and no diaphragm; if placed at this level, the electrode array would be closed to the region of interest.

Close modal

Depending on the craniocaudal level, the relative amount of lung tissue is different; therefore, the electrical impedance tomography measures will also differ.26  Krueger-Ziolek et al.27  compared electrode placement at different thoracic planes (cranial, middle, and caudal) in healthy subjects during pulmonary function testing maneuvers. In their findings, variation in impedance amplitude was attributed to shifts in the lung tissue within the chest, either cranially during a maximum expiration to the residual volume, or caudally when the abdominal volume is shifted during maximum inspiration to total lung capacity. It is essential to acknowledge that multiple factors can impact what is being measured in a determined plane, not only the lung tissue shift, e.g., changes in ventilation, recruitment, or derecruitment, the shape of the chest, elevated diaphragm, the geometry of vascular and airway trees, and the blood volume within the chest.27,29–31  If the belt is removed, marking the skin where the belt was placed for anatomical reference can help ensure the reliability of repeated measurements.

Belt Size, Electrode Distancing, and Contact

The order and the distance within the electrodes in the belts are preset in commercially available devices, and the belts come in different sizes to match the patient’s chest perimeter.5  The interelectrode spacing depends on the manufacturer, and the electrodes are usually equidistant. The electrode positioning should match the mathematical model of each electrical impedance tomography device designed to account for potential gaps in the sternal region. The gap will depend on the chest perimeter and the belt size. However, none of the models are planned to account for overlapping electrodes or rotated belts. Belt rotation may happen, especially in the neonatal population, and Sophocleous et al.32  showed that a belt rotation higher than one electrode space significantly altered calculated electrical impedance tomography measurements.

Electrode-skin contact should be closely checked. The skin area selected for the electrode placement should be intact because the electrodes need direct contact with the chest wall to minimize the risk of poor-contact electrodes.16,33  The application of electrodes over wounds, rashes, or burns is not recommended. Moreover, dressings should not cover the skin because they are nonconductive. The presence of hair can make electrode adhesion difficult, and ultrasound gel can be applied.14  Conductive suture wires, breast implants, and chest tubes can also interfere but rarely impede meaningful measurements.5  Electricity-conductive fluids (i.e., excessive sweat, saline, or other electrolytic solutions) should be avoided close to the electrodes. The electrodes are closer in neonates and preterm infants, so body lotions should be avoided in the chest area before assessments.18,34 

The ability to distinguish between two close objects can define the electrical impedance tomography image resolution.35  It depends on the amount of information available, which is proportional to the squared number of electrodes. More electrodes can provide a better spatial resolution and allow the exclusion of electrodes with poor contact (fig. 3). Once the device is on, the user should always check for loose electrodes because the image reconstruction assumes that electrode-skin contact impedance remains stable during measurements and the changes measured as due to internal variations in resistivity.35 

Fig. 3.

The electrical impedance tomography image resolution is not linearly proportional to the number of electrodes. (A) Electrical impedance tomography image with all the 16 electrodes array connected. (B) Electrical impedance tomography image with 1 of 16 electrodes disconnected and the electrical impedance tomography image kept a satisfactory resolution. (C) Electrical impedance tomography image with 10 of 16 electrodes disconnected, and the resolution was lost. It is worth noting that although the three images have the same number of pixels, the information they contain reduces progressively with the loss of electrodes.

Fig. 3.

The electrical impedance tomography image resolution is not linearly proportional to the number of electrodes. (A) Electrical impedance tomography image with all the 16 electrodes array connected. (B) Electrical impedance tomography image with 1 of 16 electrodes disconnected and the electrical impedance tomography image kept a satisfactory resolution. (C) Electrical impedance tomography image with 10 of 16 electrodes disconnected, and the resolution was lost. It is worth noting that although the three images have the same number of pixels, the information they contain reduces progressively with the loss of electrodes.

Close modal

Capturing Raw Data

The sequence of current injections and voltage readings compose the frames that will generate the impedance image. Each complete acquisition cycle defines a frame (raw measurements).19,28,36  Current electrical impedance tomography devices can generate up to 50 frames/second, resulting in high temporal resolution.5,22 

Imaging Reconstruction

Different from radiation-based images, applied current propagates in a diffuse pattern and expands to off-plane regions, and changes in these regions can affect the electrical impedance tomography measurements. In an electrode array at the same thoracic plane, the electrical current density of a specific region will determine how much that region influences the electrical impedance tomography image. Thus, in the craniocaudal axis, the thickness of the tissue slice with the highest electrical current density, centered in the plane of the electrode, is between 5 and 12 cm. If the electrodes are arranged in a zigzag pattern, this thickness changes and depends on the electrodes distancing from each other. Unlike the precise shape and thickness of cross-sectional slices from computed tomography and magnetic resonance imaging, the electrical impedance tomography image is a simplified reconstruction with a low spatial resolution.16,19,36–39  The existing manufacturers prefer the two-dimensional images because they are easier than the three-dimensional images to reconstruct. Electrical impedance tomography image reconstruction is considered an inverse and ill-posed problem: inverse because it estimates the observed object information based on its measurement, and ill-posed because it does not have a unique or stable solution.16 

Orientation

In the screen of commercial electrical impedance tomography devices, the image is presented in the transverse plane, and the orientation of the image depends on the positioning of the electrodes and will stay the same independent of the posture, unless in the device where a screen command gives you the option to actively change the patient position between the supine/prone options.

Differential Image (Time-Difference Reconstruction)

The time-difference reconstruction is a strategy to minimize mathematical model intrinsic limitations. Differential electrical impedance tomography images only show regions with changes through time; unlike radiation-based imaging, “stable” findings such as consolidations, pleural effusions, or large bullae are not visualized. The differential image is based on a time-difference reconstruction between current and reference frames. A common reference measurement is the average of chosen frames (baseline). The color coding varies within manufacturers.5,22  Multiple clinical tools are available depending on the electrical impedance tomography device. The tools can monitor the differential images through time and, for example, provide functional images of overdistension, collapse, compliance, and changes in the regional distribution of the impedance variation.

Waveforms, Interpretation of Images, and the Calculated Measures

During a tidal volume breath, the electrical current has to move through thin and stretched interalveolar septa, resulting in an increase in resistivity during inspiration (maximum impedance), followed by a decrease in resistivity during exhalation (minimum impedance). The tidal impedance (ΔZ = maximum Z – minimum Z) measured at the body surface correlates with the tidal volume.40–42  Moreover, observing the end-expiratory lung impedance at the bedside suggests shifts in functional residual capacity after changes in positive end-expiratory pressure (PEEP)43,44  (fig. 4). Further comments on end-expiratory lung impedance analysis and limitations will be discussed in upcoming sessions.

Fig. 4.

Tidal impedance (ΔZ) and end-expiratory lung impedance changes during a lung recruitment maneuver. (A) At the first positive end-expiratory pressure (PEEP) of 15 cm H2O, the ΔZ and the end-expiratory lung impedance (dashed horizontal line) will be our baseline measurements for this figure. (B) The ΔZ is smaller than the baseline at the second PEEP of 20 cm H2O. As the black arrow shows, the end- expiratory lung impedance increased between PEEPs and within the same PEEP over time. (C) The ΔZ is progressively smaller than the baseline at the third PEEP of 25 cm H2O. The end-expiratory lung impedance increase within the same PEEP (black arrow) is more prominent than the previous PEEP. (D) After changing the time scale during the PEEP of 25 cm H2O, the ΔZ is seen in more detail with the maximum and minimum impedance components (dashed lines).

Fig. 4.

Tidal impedance (ΔZ) and end-expiratory lung impedance changes during a lung recruitment maneuver. (A) At the first positive end-expiratory pressure (PEEP) of 15 cm H2O, the ΔZ and the end-expiratory lung impedance (dashed horizontal line) will be our baseline measurements for this figure. (B) The ΔZ is smaller than the baseline at the second PEEP of 20 cm H2O. As the black arrow shows, the end- expiratory lung impedance increased between PEEPs and within the same PEEP over time. (C) The ΔZ is progressively smaller than the baseline at the third PEEP of 25 cm H2O. The end-expiratory lung impedance increase within the same PEEP (black arrow) is more prominent than the previous PEEP. (D) After changing the time scale during the PEEP of 25 cm H2O, the ΔZ is seen in more detail with the maximum and minimum impedance components (dashed lines).

Close modal

The global impedance can be segmented into regional impedance waveforms that represent regions of interest. Commercial electrical impedance tomography devices have predetermined region of interest options during online monitoring, such as right and left, ventral and dorsal, quadrants, or up four layers (from nongravity to gravity- dependent regions).

Head-of-bed level influences the global and regional lung volumes and modifies the electrical impedance tomography waveforms (fig. 5).15,45  As discussed before, multiple factors influence the measurements; thus, we advise the user to annotate and keep the head-of-bed constant while monitoring other events of interest, such as the response to different ventilatory modes, lung recruitment maneuvers, and optimal PEEP trials. Additionally, when monitoring ventilation with electrical impedance tomography in different body positions (supine, prone, right or left down decubiti, for example), the user should account for the physiologic effects of body position. Changes in body position may influence the regional distribution of ventilation, regional compliance of the respiratory system, and aeration46  (fig. 6).

Fig. 5.

The effect of different head-of-bed angles (respectively, 0°, 10°, and 30°) in the regional tidal impedance (ventral and dorsal) and end-expiratory lung impedance. The ventilatory settings remained unaltered, and the electrical impedance tomography belt was fixed at the same thoracic plane during the different head-of-bed angles. When compared with 0° degrees, both the percent of the ventral lung region’s tidal impedance and the end-expiratory impedance were increased at 30°.

Fig. 5.

The effect of different head-of-bed angles (respectively, 0°, 10°, and 30°) in the regional tidal impedance (ventral and dorsal) and end-expiratory lung impedance. The ventilatory settings remained unaltered, and the electrical impedance tomography belt was fixed at the same thoracic plane during the different head-of-bed angles. When compared with 0° degrees, both the percent of the ventral lung region’s tidal impedance and the end-expiratory impedance were increased at 30°.

Close modal
Fig. 6.

Two different body positions and their impact on the regional tidal impedance and end-expiratory impedance in a patient with acute respiratory distress syndrome. Ventilatory settings were unaltered throughout the positionings. (A) Left-down decubitus at 60°. (B) Right-down decubitus at 40°. D, dorsal; L, left; R, right; V, ventral.

Fig. 6.

Two different body positions and their impact on the regional tidal impedance and end-expiratory impedance in a patient with acute respiratory distress syndrome. Ventilatory settings were unaltered throughout the positionings. (A) Left-down decubitus at 60°. (B) Right-down decubitus at 40°. D, dorsal; L, left; R, right; V, ventral.

Close modal

The diaphragm can interfere with the electrical impedance tomography measurement by causing a decrease in impedance variation (lower resistivity tissue) placed right next to a higher impedance variation of aerated lung tissue when compared with the diaphragm (higher resistivity tissue), misguiding the interpretation of impedance image.26,28  Similarly, pendelluft47  (movement of gas within lung regions, causing local deflations) and pleural effusion48  can generate decreased impedance variations.

Extrathoracic events can affect the end-expiratory lung impedance waveforms and therefore mislead the estimation of lung aeration, e.g., abrupt patient or bed movements, pulsating air suspension mattresses,18,34  and intravenous fluid bolus49,50  (fig. 7). The administration of a saline solution bolus or diuretics can respectively decrease or increase the end-expiratory lung impedance without meaning changes in lung aeration. To avoid inaccurate measurements derived from end-expiratory lung impedance, users should refrain from considering it if there are significant ongoing changes in fluid balance.34,50,51 

Fig. 7.

Extrathoracic events affecting the end-expiratory lung impedance. In this example, a passive leg-raising maneuver modifies the end-expiratory lung impedance after the combination of body movement (shifting the intraabdominal structures affecting ventilation distribution) and increased venous return to the chest. Of note, the impedance variation (A), airway pressure (B), and tidal volume (C) were unaltered. Paw, airway pressure; Vt, tidal volume.

Fig. 7.

Extrathoracic events affecting the end-expiratory lung impedance. In this example, a passive leg-raising maneuver modifies the end-expiratory lung impedance after the combination of body movement (shifting the intraabdominal structures affecting ventilation distribution) and increased venous return to the chest. Of note, the impedance variation (A), airway pressure (B), and tidal volume (C) were unaltered. Paw, airway pressure; Vt, tidal volume.

Close modal

Monitoring Duration

Electrical impedance tomography should be connected before the intervention of interest is performed. For example, electrical impedance tomography connection should occur before a lung recruitment maneuver to exclude a pneumothorax52,53  and before stepwise PEEP titration.54,55 

A stationary signal (e.g., stable tidal impedance returning to the same level of end-expiratory lung impedance) requires less recording time for offline analysis. If the patient spontaneously breathes, more time is needed to determine a reliable average signal (fig. 8). A minimum stabilization time of 5 to 10 min is recommended after an intervention of interest for the electrical impedance tomography to detect possible alterations.56  Caruana et al.57  suggested that at least 15 min is needed for ventilation distribution to stabilize when the body position is changed.

Fig. 8.

Respiration pattern, impedance variation (ΔZ), and end-expiratory lung impedance. (A) The ΔZ during spontaneous breathing is more irregular when compared with passive ventilation. During spontaneous breathing, a longer time of observation or record may be necessary for a more accurate estimation of ΔZ and end-expiratory lung impedance. (B) The ΔZ after paralysis.

Fig. 8.

Respiration pattern, impedance variation (ΔZ), and end-expiratory lung impedance. (A) The ΔZ during spontaneous breathing is more irregular when compared with passive ventilation. During spontaneous breathing, a longer time of observation or record may be necessary for a more accurate estimation of ΔZ and end-expiratory lung impedance. (B) The ΔZ after paralysis.

Close modal

Prolonged monitoring periods are at a higher risk of electronic drifts and significant changes in the electrode contact impedance that cannot be fully compensated by the differential imaging method leading to lower quality reconstruction.35 

Table 1 summarizes the pitfalls, preventive approaches, and proposed solutions.

Table 1.

Summary of the Pitfalls, Preventive Approaches, and Proposed Solutions

Summary of the Pitfalls, Preventive Approaches, and Proposed Solutions
Summary of the Pitfalls, Preventive Approaches, and Proposed Solutions

Electrical impedance tomography manufacturers incorporate automatic postprocessing tools for fundamental image analysis. These include algorithms to segment (separate) the functional lung maps from the heart and forms of regional partitioning (e.g., quadrant of the lung, ventral vs. dorsal) of the measured variables. In certain circumstances, offline analysis of saved raw data may be required. Several aspects of this process need to be addressed.

Annotations

To recall and retrieve the actual acquisition, it is imperative to note all the events of interest (changes in ventilator settings or position, applied interventions), fluid administration and balance, and the occurrence of disconnections or artifacts.

Refining the Lung Boundary

For each individual subject, ventilation maps are usually filtered for noise by excluding pixels with values less than a certain percentage of the maximum (e.g., 5% or 10%). In patients with severe obesity, a thicker fat coating between the surface electrodes and the lungs will lead to a smaller image area. Redefining the regions of interest will help capture only those pixels carrying meaningful changes in impedance for the analysis.

Quantitative Analysis

Values of ventilation in each pixel are typically expressed as a percentage of the lung map total, thus representing a relative distribution for each subject. Correction is required to compare absolute values between subjects or interventions with externally obtained values of tidal volume (e.g., from the ventilator). For example, the end-expiratory lung impedance significantly correlates with end-expiratory lung volume measured by other methods (nitrogen washout, spirometry, helium dilution); however, the absolute volume calculations derived from end-expiratory lung impedance remain debatable.31,44,58,59 

Frequent limitations of electrical impedance tomography’s broader application are the device setup and the understanding of the data provided.60  Data sharing and interpretation by third-party specialist centers would boost the number of assessments, systematize the analysis, reduce misinterpretation, and promote education. Multicenter collaboration is crucial to guaranteeing electrical impedance tomography’s proper use, and machine learning can manage higher volumes of electrical impedance tomography data.61 

Conclusion

The real-time monitoring of regional ventilation with electrical impedance tomography is invaluable for the acute care clinician. Research addressing the clinical impact of electrical impedance tomography applications is becoming more frequent.62,63  However, a comprehensive understanding of the pitfalls of monitoring, data processing, and data interpretation in electrical impedance tomography is necessary to ensure accurate and reliable conclusions.

Acknowledgments

The authors thank Xiaojing Ma, M.D., Libin Ma, M.D., Changsheng Zhang, M.D., Ph.D., Caio C.A. Morais, R.T., P.T., Ph.D., Stefano Cenci, M.D., Dario Winterton, M.D., Hatus Wanderley, Kyle Medeiros, B.S., Carlo Valsecchi, M.D., Stefano Gianni, M.D., Raffaele Di Fenza, M.D., Bijan Safaee Fakhr, M.D., Susimeire Gomes, Ph.D., Adriana Hirota, R.T., P.T., Ph.D., and the Respiratory Care Service at Massachusetts General Hospital, Boston, Massachusetts.

Research Support

Support was provided solely from institutional and/or departmental sources.

Competing Interests

Dr. Alcala provides clinical support to customers for Timpel S.A. (electrical impedance tomography; São Paulo, Brazil). Dr. León Bueno de Camargo reports that his research group has received grants from the Timpel S.A. (electrical impedance tomography) in the past 5 yr. Dr. Britto Passos Amato reports that his research laboratory has received grants in the past 5 yr from the Covidien/Medtronics (mechanical ventilation; Dublin, Ireland), Orange Med/Nihon Koden (mechanical ventilation; Santa Ana, California), MagnaMed (São Paulo, Brazil) and Timpel S.A. (electrical impedance tomography). Dr. Amato is also a minority shareholder in Timpel S.A. The other authors declare no competing interests.

1.
Costa
EL
,
Lima
RG
,
Amato
MB
:
Electrical impedance tomography.
Curr Opin Crit Care
.
2009
;
15
:
18
24
2.
Bachmann
MC
,
Morais
C
,
Bugedo
G
,
Bruhn
A
,
Morales
A
,
Borges
JB
,
Costa
E
,
Retamal
J
:
Electrical impedance tomography in acute respiratory distress syndrome.
Crit Care
.
2018
;
22
:
263
3.
Rubin
J
,
Berra
L
:
Electrical impedance tomography in the adult intensive care unit: clinical applications and future directions.
Curr Opin Crit Care
.
2022
;
28
:
292
301
4.
Frerichs
I
,
Scholz
J
,
Weiler
N
.
Electrical Impedance Tomography and its Perspectives in Intensive Care Medicine
.
Berlin
Springer
,
2006
, pp
437
47
5.
Frerichs
I
,
Amato
MB
,
van Kaam
AH
,
Tingay
DG
,
Zhao
Z
,
Grychtol
B
,
Bodenstein
M
,
Gagnon
H
,
Böhm
SH
,
Teschner
E
,
Stenqvist
O
,
Mauri
T
,
Torsani
V
,
Camporota
L
,
Schibler
A
,
Wolf
GK
,
Gommers
D
,
Leonhardt
S
,
Adler
A
;
TREND study group
:
Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group.
Thorax
.
2017
;
72
:
83
93
6.
Borges
JB
,
Suarez-Sipmann
F
,
Bohm
SH
,
Tusman
G
,
Melo
A
,
Maripuu
E
,
Sandström
M
,
Park
M
,
Costa
ELV
,
Hedenstierna
G
,
Amato
M
:
Regional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse.
J Appl Physiol (1985)
.
2012
;
112
:
225
36
7.
Adler
A
,
Amato
MB
,
Arnold
JH
,
Bayford
R
,
Bodenstein
M
,
Böhm
SH
,
Brown
BH
,
Frerichs
I
,
Stenqvist
O
,
Weiler
N
,
Wolf
GK
:
Whither lung EIT: where are we, where do we want to go and what do we need to get there?
Physiol Meas
.
2012
;
33
:
679
94
8.
Slutsky
AS
:
Lung injury caused by mechanical ventilation.
Chest
.
1999
;
116
(
1 Suppl
):
9S
15S
9.
Amato
MB
,
Barbas
CS
,
Medeiros
DM
,
Magaldi
RB
,
Schettino
GP
,
Lorenzi-Filho
G
,
Kairalla
RA
,
Deheinzelin
D
,
Munoz
C
,
Oliveira
R
,
Takagaki
TY
,
Carvalho
CR
:
Effect of a protective-ventilation strategy on mortality in the acute respiratory distress syndrome.
N Engl J Med
.
1998
;
338
:
347
54
10.
Brower
RG
,
Matthay
MA
,
Morris
A
,
Schoenfeld
D
,
Thompson
BT
,
Wheeler
A
;
Acute Respiratory Distress Syndrome Network
:
Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome.
N Engl J Med
.
2000
;
342
:
1301
8
11.
Pereira
SM
,
Tucci
MR
,
Morais
CCA
,
Simões
CM
,
Tonelotto
BFF
,
Pompeo
MS
,
Kay
FU
,
Pelosi
P
,
Vieira
JE
,
Amato
MBP
:
Individual positive end-expiratory pressure settings optimize intraoperative mechanical ventilation and reduce postoperative atelectasis.
Anesthesiology
.
2018
;
129
:
1070
81
12.
Frerichs
I
,
Becher
T
:
Chest electrical impedance tomography measures in neonatology and paediatrics–A survey on clinical usefulness.
Physiol Meas
.
2019
;
40
:
054001
13.
Tomicic
V
,
Cornejo
R
:
Lung monitoring with electrical impedance tomography: technical considerations and clinical applications.
J Thorac Dis
.
2019
;
11
:
3122
35
14.
Piraino
T
:
An introduction to the clinical application and interpretation of electrical impedance tomography.
Respir Care
.
2022
;
67
:
721
9
15.
Walsh
BK
,
Smallwood
CD
:
Electrical impedance tomography during mechanical ventilation.
Respir Care
.
2016
;
61
:
1417
24
16.
Adler
A
,
Grychtol
B
,
Bayford
R
:
Why is EIT so hard, and what are we doing about it?
Physiol Meas
.
2015
;
36
:
1067
73
17.
Lundin
S
,
Stenqvist
O
:
Electrical impedance tomography: Potentials and pitfalls.
Curr Opin Crit Care
.
2012
;
18
:
35
41
18.
Frerichs
I
,
Pulletz
S
,
Elke
G
,
Gawelczyk
B
,
Frerichs
A
,
Weiler
N
:
Patient examinations using electrical impedance tomography–Sources of interference in the intensive care unit.
Physiol Meas
.
2011
;
32
:
L1
10
19.
Frerichs
I
,
Amato
MB
,
van Kaam
AH
,
Tingay
DG
,
Zhao
Z
,
Grychtol
B
,
Bodenstein
M
,
Gagnon
H
,
Böhm
SH
,
Teschner
E
,
Stenqvist
O
,
Mauri
T
,
Torsani
V
,
Camporota
L
,
Schibler
A
,
Wolf
GK
,
Gommers
D
,
Leonhardt
S
,
Adler
A
;
TREND study group
:
Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group.
Thorax
.
2017
;
72
:
83
93
20.
Holder
DS
:
Appendix A
.
Brief introduction to bioimpedance in Electrical Impedance Tomography: Methods, History and Applications (1st edition)
.
Edited by
Holder
DS
.
Boca Raton
,
CRC Press
,
2004
, pp.
411
22
21.
Frerichs
I
:
Electrical impedance tomography (EIT) in applications related to lung and ventilation: a review of experimental and clinical activities.
Physiol Meas
.
2000
;
21
:
R1
21
22.
Holder
D
, editor.
Electrical Impedance Tomography: Methods, History, and Applications
.
Series in Medical Physics and Biomedical Engineering.
Bristol, United Kingdom
,
Institute of Physics,.
2005
,
xiii
,
456
p.
23.
Barber
CC
,
Brown
BH
,
Freeston
IL
.
Imaging spatial distributions of resistivity using applied potential tomography.
Electronics Lett
.
1983
;
19
:
933
5
.
24.
Brown
BH
,
Barber
DC
,
Seagar
AD
:
Applied potential tomography: Possible clinical applications.
Clin Phys Physiol Meas
.
1985
;
6
:
109
21
25.
Adler
A
,
Gaggero
PO
,
Maimaitijiang
Y
:
Adjacent stimulation and measurement patterns considered harmful.
Physiol Meas
.
2011
;
32
:
731
44
26.
Karsten
J
,
Stueber
T
,
Voigt
N
,
Teschner
E
,
Heinze
H
:
Influence of different electrode belt positions on electrical impedance tomography imaging of regional ventilation: A prospective observational study.
Crit Care
.
2016
;
20
:
3
27.
Krueger-Ziolek
S
,
Schullcke
B
,
Kretschmer
J
,
Müller-Lisse
U
,
Möller
K
,
Zhao
Z
:
Positioning of electrode plane systematically influences EIT imaging.
Physiol Meas
.
2015
;
36
:
1109
18
28.
Ericsson
E
,
Tesselaar
E
,
Sjöberg
F
:
Effect of electrode belt and body positions on regional pulmonary ventilation- and perfusion-related impedance changes measured by electric impedance tomography.
PLoS One
.
2016
;
11
:
e0155913
29.
Steinberg
I
,
Pasticci
I
,
Busana
M
,
Costamagna
A
,
Hahn
G
,
Gattarello
S
,
Palermo
P
,
Lazzari
S
,
Romitti
F
,
Herrmann
P
,
Moerer
O
,
Saager
L
,
Meissner
K
,
Quintel
M
,
Gattinoni
L
:
Lung ultrasound and electrical impedance tomography during ventilator-induced lung injury.
Crit Care Med
.
2022
;
50
:
e630
7
30.
Glenny
RW
:
Determinants of regional ventilation and blood flow in the lung.
Intensive Care Med
.
2009
;
35
:
1833
42
31.
Bikker
IG
,
Leonhardt
S
,
Bakker
J
,
Gommers
D
:
Lung volume calculated from electrical impedance tomography in ICU patients at different PEEP levels.
Intensive Care Med
.
2009
;
35
:
1362
7
32.
Sophocleous
L
,
Waldmann
AD
,
Becher
T
,
Kallio
M
,
Rahtu
M
,
Miedema
M
,
Papadouri
T
,
Karaoli
C
,
Tingay
DG
,
Van Kaam
AH
,
Yerworth
R
,
Bayford
R
,
Frerichs
I
:
Effect of sternal electrode gap and belt rotation on the robustness of pulmonary electrical impedance tomography parameters.
Physiol Meas
.
2020
;
41
:
035003
33.
McAdams
ET
,
Jossinet
J
,
Lackermeier
A
,
Risacher
F
:
Factors affecting electrode-gel-skin interface impedance in electrical impedance tomography.
Med Biol Eng Comput
.
1996
;
34
:
397
408
34.
Piraino
T
:
Lung expansion therapy: please, (visually) show me the value!.
Respir Care
.
2019
;
64
:
1314
8
35.
Boyle
A
,
Adler
A
:
The impact of electrode area, contact impedance and boundary shape on EIT images.
Physiol Meas
.
2011
;
32
:
745
54
36.
Bodenstein
M
,
David
M
,
Markstaller
K
:
Principles of electrical impedance tomography and its clinical application.
Crit Care Med
.
2009
;
37
:
713
24
37.
Rabbani
KS
,
Kabir
AM
:
Studies on the effect of the third dimension on a two-dimensional electrical impedance tomography system.
Clin Phys Physiol Meas
.
1991
;
12
:
393
402
38.
Brown
BH
:
Electrical impedance tomography (EIT): a review.
J Med Eng Technol
.
2003
;
27
:
97
108
39.
Lionheart
WR
:
EIT reconstruction algorithms: pitfalls, challenges and recent developments.
Physiol Meas
.
2004
;
25
:
125
42
40.
Victorino
JA
,
Borges
JB
,
Okamoto
VN
,
Matos
GFJ
,
Tucci
MR
,
Caramez
MPR
,
Tanaka
H
,
Sipmann
FS
,
Santos
DCB
,
Barbas
CSV
,
Carvalho
CRR
,
Amato
MBP
:
Imbalances in regional lung ventilation: a validation study on electrical impedance tomography.
Am J Respir Crit Care Med
.
2004
;
169
:
791
800
41.
Reinartz
SD
,
Imhoff
M
,
Tolba
R
,
Fischer
F
,
Fischer
EG
,
Teschner
E
,
Koch
S
,
Gärber
Y
,
Isfort
P
,
Gremse
F
:
EIT monitors valid and robust regional ventilation distribution in pathologic ventilation states in porcine study using differential DualEnergy-CT (ΔDECT).
Sci Rep
.
2019
;
9
:
9796
42.
Maciejewski
D
,
Putowski
Z
,
Czok
M
,
Krzych
L
:
Electrical impedance tomography as a tool for monitoring mechanical ventilation. An introduction to the technique.
Adv Med Sci
.
2021
;
66
:
388
95
43.
Frerichs
I
,
Hahn
G
,
Hellige
G
:
Thoracic electrical impedance tomographic measurements during volume controlled ventilation-effects of tidal volume and positive end-expiratory pressure.
IEEE Trans Med Imaging
.
1999
;
18
:
764
73
44.
Grivans
C
,
Lundin
S
,
Stenqvist
O
,
Lindgren
S
:
Positive end-expiratory pressure-induced changes in end-expiratory lung volume measured by spirometry and electric impedance tomography.
Acta Anaesthesiol Scand
.
2011
;
55
:
1068
77
45.
Spooner
AJ
,
Corley
A
,
Sharpe
NA
,
Barnett
AG
,
Caruana
LR
,
Hammond
NE
,
Fraser
JF
:
Head-of-bed elevation improves end-expiratory lung volumes in mechanically ventilated subjects: a prospective observational study.
Respir Care
.
2014
;
59
:
1583
9
46.
Dalla Corte
F
,
Mauri
T
,
Spinelli
E
,
Lazzeri
M
,
Turrini
C
,
Albanese
M
,
Abbruzzese
C
,
Lissoni
A
,
Galazzi
A
,
Eronia
N
,
Bronco
A
,
Maffezzini
E
,
Pesenti
A
,
Foti
G
,
Bellani
G
,
Grasselli
G
:
Dynamic bedside assessment of the physiologic effects of prone position in acute respiratory distress syndrome patients by electrical impedance tomography.
Minerva Anestesiol
.
2020
;
86
:
1057
64
47.
Yoshida
T
,
Torsani
V
,
Gomes
S
,
De Santis
RR
,
Beraldo
MA
,
Costa
ELV
,
Tucci
MR
,
Zin
WA
,
Kavanagh
BP
,
Amato
MBP
:
Spontaneous effort causes occult pendelluft during mechanical ventilation.
Am J Respir Crit Care Med
.
2013
;
188
:
1420
7
48.
Azevedo
LC
,
Park
M
,
Salluh
JI
et al
.:
Clinical outcomes of patients requiring ventilatory support in Brazilian intensive care units: a multicenter, prospective, cohort study.
Crit Care
.
2013
;
17
:
R63
49.
Becher
T
,
Wendler
A
,
Eimer
C
,
Weiler
N
,
Frerichs
I
:
Changes in electrical impedance tomography findings of ICU patients during rapid infusion of a fluid bolus: A prospective observational study.
Am J Respir Crit Care Med
.
2019
;
199
:
1572
5
50.
Sobota
V
,
Müller
M
,
Roubík
K
:
Intravenous administration of normal saline may be misinterpreted as a change of end-expiratory lung volume when using electrical impedance tomography.
Sci Rep
.
2019
;
9
:
5775
51.
Noble
TJ
,
Harris
ND
,
Morice
AH
,
Milnes
P
,
Brown
BH
:
Diuretic induced change in lung water assessed by electrical impedance tomography.
Physiol Meas
.
2000
;
21
:
155
63
52.
Costa
EL
,
Chaves
CN
,
Gomes
S
,
Beraldo
MA
,
Volpe
MS
,
Tucci
MR
,
Schettino
IAL
,
Bohm
SH
,
Carvalho
CRR
,
Tanaka
H
,
Lima
RG
,
Amato
MBP
:
Real-time detection of pneumothorax using electrical impedance tomography.
Crit Care Med
.
2008
;
36
:
1230
8
53.
Kallio
M
,
Rahtu
M
,
van Kaam
AH
,
Bayford
R
,
Rimensberger
PC
,
Frerichs
I
:
Electrical impedance tomography reveals pathophysiology of neonatal pneumothorax during NAVA.
Clin Case Rep
.
2020
;
8
:
1574
8
54.
Fumagalli
J
,
Santiago
RRS
,
Teggia Droghi
M
,
Zhang
C
,
Fintelmann
FJ
,
Troschel
FM
,
Morais
CCA
,
Amato
MBP
,
Kacmarek
RM
,
Berra
L
;
Lung Rescue Team Investigators
:
Lung recruitment in obese patients with acute respiratory distress syndrome.
Anesthesiology
.
2019
;
130
:
791
803
55.
Costa
EL
,
Borges
JB
,
Melo
A
,
Suarez-Sipmann
F
,
Toufen
C
,
Bohm
SH
,
Amato
MBP
:
Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography.
Intensive Care Med
.
2009
;
35
:
1132
7
56.
van Dijk
J
,
Koopman
AA
,
Blokpoel
RG
,
Dijkstra
S
,
Markhorst
DG
,
Burgerhof
JG
,
Kneyber
MC
:
Global and regional tidal volume distribution in spontaneously breathing mechanically ventilated children.
Respir Care
.
2022
;
67
:
383
93
57.
Caruana
L
,
Paratz
JD
,
Chang
A
,
Barnett
AG
,
Fraser
JF
:
The time taken for the regional distribution of ventilation to stabilise: An investigation using electrical impedance tomography.
Anaesth Intensive Care
.
2015
;
43
:
88
91
58.
Hinz
J
,
Hahn
G
,
Neumann
P
,
Sydow
M
,
Mohrenweiser
P
,
Hellige
G
,
Burchardi
H
:
End-expiratory lung impedance change enables bedside monitoring of end-expiratory lung volume change.
Intensive Care Med
.
2003
;
29
:
37
43
59.
Mauri
T
,
Eronia
N
,
Turrini
C
,
Battistini
M
,
Grasselli
G
,
Rona
R
,
Volta
CA
,
Bellani
G
,
Pesenti
A
:
Bedside assessment of the effects of positive end-expiratory pressure on lung inflation and recruitment by the helium dilution technique and electrical impedance tomography.
Intensive Care Med
.
2016
;
42
:
1576
87
60.
Gallagher
JT
,
Ives K
L
,
Cheifetz
IM
:
Electrical impedance tomography in mechanically ventilated children: will it impact clinical care?
Respir Care
.
2022
;
67
:
494
5
61.
Pessoa
D
,
Rocha
BM
,
Cheimariotis
GA
,
Haris
K
,
Strodthoff
C
,
Kaimakamis
E
,
Maglaveras
N
,
Frerichs
I
,
de Carvalho
P
,
Paiva
RP
:
Classification of electrical impedance tomography data using machine learning.
Annu Int Conf IEEE Eng Med Biol Soc
.
2021
;
2021
:
349
53
62.
Becher
TH
,
Miedema
M
,
Kallio
M
,
Papadouri
T
,
Karaoli
C
,
Sophocleous
L
,
Rahtu
M
,
van Leuteren
RW
,
Waldmann
AD
,
Strodthoff
C
,
Yerworth
R
,
Dupré
A
,
Benissa
M-R
,
Nordebo
S
,
Khodadad
D
,
Bayford
R
,
Vliegenthart
R
,
Rimensberger
PC
,
van Kaam
AH
,
Frerichs
I
:
Prolonged continuous monitoring of regional lung function in infants with respiratory failure.
Ann Am Thorac Soc
.
2022
;
19
:
991
9
63.
He
H
,
Chi
Y
,
Yang
Y
,
Yuan
S
,
Long
Y
,
Zhao
P
,
Frerichs
I
,
Fu
F
,
Möller
K
,
Zhao
Z
:
Early individualized positive end-expiratory pressure guided by electrical impedance tomography in acute respiratory distress syndrome: a randomized controlled clinical trial.
Crit Care
.
2021
;
25
:
230