Comparison of four mathematical models to analyze indicator-dilution curves in the coronary circulationReport as inadecuate




Comparison of four mathematical models to analyze indicator-dilution curves in the coronary circulation - Download this document for free, or read online. Document in PDF available to download.

Medical and Biological Engineering and Computing

, Volume 49, Issue 12, pp 1471–1479

First Online: 18 November 2011Received: 14 June 2011Accepted: 07 November 2011

Abstract

While several models have proven to result in accurate estimations when measuring cardiac output using indicator dilution, the mono-exponential model has primarily been chosen for deriving coronary blood-plasma volume. In this study, we compared four models to derive coronary plasma volume using indicator dilution; the mono-exponential, power-law, gamma-variate, and local density random walk LDRW model. In anesthetized goats N = 14, we determined the distribution volume of high molecular weight 2,000 kDa dextrans. A bolus injection 1.0 ml, 0.65 mg-ml was given intracoronary and coronary venous blood samples were taken every 0.5–1.0 s; outflow curves were analyzed using the four aforementioned models. Measurements were done at baseline and during adenosine infusion. Absolute coronary plasma volume estimates varied by ~25% between models, while the relative volume increase during adenosine infusion was similar for all models. The gamma-variate, LDRW, and mono-exponential model resulted in volumes corresponding with literature, whereas the power-model seemed to overestimate the coronary plasma volume. The gamma-variate and LDRW model appear to be suitable alternative models to the mono-exponential model to analyze coronary indicator-dilution curves, particularly since these models are minimally influenced by outliers and do not depend on data of the descending slope of the curve only.

KeywordsCoronary indicator-dilution technique Mono-exponential model Power-law model Gamma-variate model Local density random walk model  Download fulltext PDF



Author: Judith Brands - Hans Vink - Jurgen W. G. E. Van Teeffelen

Source: https://link.springer.com/







Related documents