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

Author:

Borges João Batista12,Suarez-Sipmann Fernando13,Bohm Stephan H.4,Tusman Gerardo5,Melo Alexandre6,Maripuu Enn7,Sandström Mattias7,Park Marcelo8,Costa Eduardo L. V.29,Hedenstierna Göran10,Amato Marcelo2

Affiliation:

1. Department of Surgical Sciences, Section of Anaesthesiology and Critical Care, Uppsala University, Uppsala, Sweden;

2. Cardio-Pulmonary Department, Pulmonary Divison, Hospital das Clínicas, University of São Paulo;

3. Instituto de Investigaciones Sanitarias ISS-FJD, Fundación Jiménez Díaz, Madrid, Spain, CIBERES;

4. Swisscom AG, Landquart, Switzerland;

5. Department of Anesthesiology, Hospital Privado de Comunidad, Mar del Plata, Argentina;

6. Research and Development Department, Timpel SA, São Paulo, Brazil;

7. Department of Nuclear Medicine, Uppsala University Hospital, Uppsala, Sweden;

8. Hospital das Clínicas, and

9. Research and Education Institute, Hospital Sírio Libanês, São Paulo, Brazil; and

10. Department of Medical Sciences, Clinical Physiology, Uppsala University, Uppsala, Sweden

Abstract

The assessment of the regional match between alveolar ventilation and perfusion in critically ill patients requires simultaneous measurements of both parameters. Ideally, assessment of lung perfusion should be performed in real-time with an imaging technology that provides, through fast acquisition of sequential images, information about the regional dynamics or regional kinetics of an appropriate tracer. We present a novel electrical impedance tomography (EIT)-based method that quantitatively estimates regional lung perfusion based on first-pass kinetics of a bolus of hypertonic saline contrast. Pulmonary blood flow was measured in six piglets during control and unilateral or bilateral lung collapse conditions. The first-pass kinetics method showed good agreement with the estimates obtained by single-photon-emission computerized tomography (SPECT). The mean difference (SPECT minus EIT) between fractional blood flow to lung areas suffering atelectasis was −0.6%, with a SD of 2.9%. This method outperformed the estimates of lung perfusion based on impedance pulsatility. In conclusion, we describe a novel method based on EIT for estimating regional lung perfusion at the bedside. In both healthy and injured lung conditions, the distribution of pulmonary blood flow as assessed by EIT agreed well with the one obtained by SPECT. The method proposed in this study has the potential to contribute to a better understanding of the behavior of regional perfusion under different lung and therapeutic conditions.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

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