Reproducibility of electrical impedance tomographic spectroscopy (EITS) parametric images of neonatal lungs

Physiol Meas. 1996 Nov:17 Suppl 4A:A205-12. doi: 10.1088/0967-3334/17/4a/025.

Abstract

The reproducibility of electrical impedance tomographic spectroscopy (EITS) images of neonatal lungs have been investigated in 11 clinically stable babies. We have used the Sheffield Mark IIIa EITS system. An average inspiration frame was generated from the data frames associated with maximum inspiration. Frequency images were reconstructed from these frames. The frequency images were analysed to locate the pixel with the maximum change in the right lung field. The change was defined as the 614 kHz measurement relative to 9.6 kHz. A 3 x 3 pixel region of interest was centred at this point. The changes in impedance with frequency for this region of interest show good overall reproducibility between electrode applications for eight frequencies (95% limits of agreement +/- 28%). This reproducibility is improved (95% limits of agreement +/- 13%) by omitting the highest frequency (1.2 MHz) which is most subject to system noise. The parameters for the Cole model derived from data with the highest frequency omitted are less reproducible between electrode applications (95% limits of agreement, R/S +/- 0.83, fc +/- 81.6, RC +/- 0.52, SC +/- 0.39). We suspect that the parametric model used may have an effect on this. The signals recorded at the highest frequency (1.2 MHz) are a major source of variability. The reproducibility results are improved by omitting this frequency from the analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Water / metabolism
  • Electric Impedance*
  • Electrodes
  • Humans
  • Image Processing, Computer-Assisted / methods
  • Image Processing, Computer-Assisted / statistics & numerical data
  • Infant, Newborn
  • Lung / anatomy & histology
  • Lung / metabolism
  • Lung / physiology*
  • Models, Biological
  • Reproducibility of Results
  • Respiratory Distress Syndrome, Newborn / diagnosis
  • Respiratory Distress Syndrome, Newborn / metabolism
  • Tomography / methods*
  • Tomography / statistics & numerical data