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Vol. 84, Issue 2, 709-716, February 1998
1 Department of Anesthesia and
Critical Care Medicine,
Simon, Brett A., Catherine Marcucci, Mansheung Fung, and
Subhash R. Lele. Parameter estimation and confidence
intervals for Xe-CT ventilation studies: a Monte Carlo approach.
J. Appl. Physiol. 84(2): 709-716, 1998.
Xenon-enhanced computed tomography (Xe-CT) is a technique for
the noninvasive measurement of regional pulmonary ventilation from the
washin and/or washout time constants of radiodense stable xenon
gas, determined from serial computed tomography scans. Although the
measurement itself is straightforward, there is a need for methods for
the estimation of variability and confidence intervals so that the
statistical significance of the information obtained may be evaluated,
particularly since obtaining repeated measurements is often not
practical. We present a Monte Carlo (MC) approach to determine the 95%
confidence interval (CI) for any given measurement. This MC method was
characterized in terms of its unbiasedness and coverage of the CI. In
addition, 10 identical Xe-CT ventilation runs were performed in an
anesthetized dog, and the time constant was determined for several
regions of varying size in each run. The 95% CI, estimated from these repeated measurements as the mean ± 2 × SE, compared
favorably with the CI obtained by the MC approach. Finally, a
simulation was performed to compare the performance of three imaging
protocols in estimating model parameters.
xenon-enhanced computed tomography; lung imaging
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