Abstract
Alveolar recruitment maneuver is usually applied as part of the treatment of acute respiratory distress syndrome, consisting of a transitory and controlled increase in mechanical ventilator pressure delivered to the patient in order to promote opening of collapsed alveoli. Knowing alveolar recruitment potential may help prevent overdistention during alveolar recruitment maneuver. In this work, a method to estimate alveolar recruitment potential based on an exponential model of pulmonary pressure-volume curves using electrical impedance tomography is presented in order to determine if this model is adequate to describe both healthy and injured lungs. Least mean square adjustment is used to estimate total lung capacity based on an exponential model of pulmonary pressure-volume curves. Experimental data from swine was used to develop the method. The results show that the use of an exponential model for pulmonary pressure-volume curve is adequate to describe healthy lungs and may provide information regarding proximity of the overdistention region, but it is not adequate to describe injured lungs appropriately.
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References
Price L (1979) Electrical impedance computed tomography (ICT): a new CT imaging technique. IEEE Trans Nucl Sci 26:2736–2739
Holder DS (2005) Electrical impedance tomography: methods, history and applications, 1st edn. IOP Publishing Ltd., Cornwall, UK
Victorino JA, Borges JB, Okamoto VN et al (2004) Imbalances in regional lung ventilation: a validation study on electrical impedance tomography. Am J Respir Crit Care Med 169:791–800
Frerichs I, Hahn G, Hellige G (1999) Thoracic electrical impedance tomographic measurements during volume controlled ventilation-effects of tidal volume and positive end-expiratory pressure. IEEE Trans Med Imaging 18:764–773
Hartland BL, Newell TJ, Damico N (2015) Alveolar recruitment maneuvers under general anesthesia: a systematic review of the literature. Respir Care 60:609–620
Suzumura EA, Figueiro M, Normilio-Silva K et al (2014) Effects of alveolar recruitment maneuvers on clinical outcomes in patients with acute respiratory distress syndrome: a systematic review and meta-analysis. Intensive Care Med 40:1227–1240
Santiago RRS (2013) Quantificação á beira do leito do potencial de recrutamento alveolar através da tomografia de impedância elétrica em modelo experimental síndrome do desconforto respiratório agudo. Ph.D. thesis. Universidade de São, Paulo
Eaton JW, Bateman D, Hauberg S, Wehbring R (2017) GNU octave version 4.2.1 manual: a high-level interactive language for numerical computations
Murphy BG, Engel LA (1978) Models of the pressure-volume relationship of the human lung. Respir Physiol 32:183–194
Salazar E, Knowles JH (1964) An analysis of pressure-volume characteristics of the lung. J Appl Physiol 19:97–104
Venegas JG, Harris RS, Simon BA (1998) A comprehensive equation for the pulmonary pressure-volume curve. J Appl Physiol 84:389–395
Acknowledgements
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.
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Federal University of ABC has a Scientific-Technical collaboration agreement (Termo de Colaboração Técnico-Científico) with Timpel S.A., including a research grant, which is not related to this work.
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Turco, G.E., Moura, F.S., Camargo, E.D.L.B. (2022). Estimation of Alveolar Recruitment Potential Using Electrical Impedance Tomography Based on an Exponential Model of the Pressure-Volume Curve. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_284
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DOI: https://doi.org/10.1007/978-3-030-70601-2_284
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