2021
DOI: 10.1109/tmi.2020.3025080
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Regional Lung Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography

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Cited by 38 publications
(26 citation statements)
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“…For the image entries a similarity measure of the respective pulsatility signal was evaluated mutually in combination with criteria regarding signal power and statistical information on shape and location of the region of interest in humans. An indicator-based heart region was determined by K-Means clustering using three features of the indicator signal, as previously described[ 19 ]. The underlying assumption is that three functional compartments are involved: cardiac chambers and large vessels upstream of the lung, the lungs as second compartment and a compartment downstream of the lungs.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For the image entries a similarity measure of the respective pulsatility signal was evaluated mutually in combination with criteria regarding signal power and statistical information on shape and location of the region of interest in humans. An indicator-based heart region was determined by K-Means clustering using three features of the indicator signal, as previously described[ 19 ]. The underlying assumption is that three functional compartments are involved: cardiac chambers and large vessels upstream of the lung, the lungs as second compartment and a compartment downstream of the lungs.…”
Section: Methodsmentioning
confidence: 99%
“…Electrical impedance tomography (EIT) is a dynamic bedside monitor of lung volume changes [ 12 ], able to accurately assess regional ventilation distribution in ARDS patients [ 13 , 14 ]. EIT-based method that quantitatively estimates regional lung perfusion based on first-pass kinetics of a bolus of hypertonic saline contrast has been developed [ 15 ], validated in experimental studies [ 16 19 ], and recently increasingly applied in critically ill patients [ 20 24 ]. EIT might identify only ventilated (i.e., ventilated but not perfused) units and only perfused (i.e., perfused non-ventilated) units expressed as a percentage of total lung volume.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Kircher et al optimized an EIT-gamma function fitting based on a linear piecewise approximation of the drift model in a porcine acute respiratory distress syndrome (ARDS) model, simplifying the quantization algorithm for potential clinical applications (Kircher et al, 2021). Simultaneously, following the administration of a saline bolus, by calculating the SD of each pixel and plotting them at the relevant image position, a new type of EIT image presenting the exact position, into which the indicator is carried by the bloodstream and visualizing the temporal variation in perfusion distribution can be generated (Frerichs et al, 2002).…”
Section: Principles Of the Conductivity Contrast Bolus Eit Methodsmentioning
confidence: 99%
“…The experimental and clinical studies using the saline bolus EIT method to visually assess lung perfusion are summarized in Tables 2-4 (Frerichs et al, 2002;Borges et al, 2012;Nguyen et al, 2013Nguyen et al, , 2015Reinius et al, 2015;Hentze et al, 2018;Bluth et al, 2019;Grassi et al, 2020;He et al, 2020aHe et al, ,b,c, 2021bMauri et al, 2020;Safaee Fakhr et al, 2020;Kircher et al, 2021;Spinelli et al, 2021;Yuan et al, 2021). The administration of saline boluses, data analyses, precision, and cutoff values differ among…”
Section: Implementation Of the Saline Bolus Methodsmentioning
confidence: 99%
“…To evaluate lung perfusion, apnea time does not need to be as long as PTT. Animal studies suggested that the time from saline injection to saline entering and concentrating in the lungs was about 3–5 seconds ( 2 , 3 ). For the patients with pulmonary embolism (PE) evaluated in our study ( 1 ), the trough value of global impedance was observed at 2–5 seconds after saline bolus injection.…”
mentioning
confidence: 99%