PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Error minimization”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 163 records · Page 9Linked to original sources

Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses.

Estimates of hemodynamic response functions (HRF) are often integral parts of event-related fMRI analyses. Although HRFs vary across individuals and brain regions, few studies have investigated how variations affect the results of statistical analyses using the general linear model (GLM). In this study, we empirically estimated HRFs from primary motor and visual cortices and frontal and supplementary eye fields (SEF) in 20 subjects. We observed more variability across subjects than regions and correlated variation of time-to-peak values across several pairs of regions. Simulations examined the effects of observed variability on statistical results and ways different experimental designs and statistical models can limit these effects. Widely spaced and rapid event-related experimental designs with two sampling rates were tested. Statistical models compared an empirically derived HRF to a canonical HRF and included the first derivative of the HRF in the GLM. Small differences between the estimated and true HRFs did not cause false negatives, but larger differences within an observed range of variation, such as a 2.5-s time-to-onset misestimate, led to false negatives. Although small errors minimally affected detection of activity, time-to-onset misestimates as small as 1 s influenced model parameter estimation and therefore random effects analyses across subjects. Experiment and analysis design methods such as decreasing the sampling rate or including the HRF's temporal derivative in the GLM improved results, but did not eliminate errors caused by HRF misestimates. These results highlight the benefits of determining the best possible HRF estimate and potential negative consequences of assuming HRF consistency across subjects or brain regions.

Adolescent↗

Estimation of plasma area under the curve for etanidazole (SR 2508) in toxicity prediction and dose adjustment.

The hydrophilic 2-nitroimidazole radiosensitizer etanidazole is currently undergoing clinical evaluation. Although considerably less neurotoxic than misonidazole because of its rapid renal clearance and partial exclusion from the nervous system, total dose is limited by peripheral neuropathy. Monitoring plasma etanidazole concentration in patients to determine the area under the curve (AUC0-infinity) has been proposed as a method of predicting patients at risk, and of providing a quantitative basis for dose reduction in such patients. Successful application of this policy requires accurate assessment of AUC0-infinity. We have analyzed plasma data for 18 patients receiving 2 g/m2 etanidazole to determine the errors introduced in the estimation of AUC0-infinity caused by omitting selected time points from the analysis. A 'baseline' AUC0-infinity value was calculated by integration of the rate equation for the 2-compartment model using data points at 0, 15, and 30 min and 1, 2, 4, 8, 12, and 24 hr after the end of infusion. The mean +/- SD area for AUC0-infinity was 502 +/- 152 micrograms ml-1 h (2.35 +/- 0.71 mM.h). Omitting the zero or the 24 hr time point, the average errors were quite small (2.5% in both cases), but errors of up to 16.4 and 7.3%, respectively, were seen for individual patients. Leaving out both the 8 hr and 12 hr points at the same time gave a similar low average error of 2.9%, with a highest error of 7.3%. Omitting all data points after 4 hr, the mean error was 24.7% and 15 of 18 patients had errors in excess of 10%. In addition, failure to correct for infusion time results in an underestimation of AUC0-infinity averaging 4.5% (range 1.9-8.7%). The choice of sampling times for toxicological monitoring will depend upon the accuracy with which the AUC0-infinity must be known. Including all data points between 0 and 24 hr will minimize errors. Considering the general similarity in the errors introduced by omitting the 8 hr and 12 hr points together compared to those seen with exclusion of the single 24 hr point, the choice between these truncated sampling options would be expected to lie in the relative inconvenience caused to patients and medical staff for the particular dose schedule used. The short sampling schedule (0-4 hr) should not be used.

Etanidazole↗

CT and MRI derived source localization error in a custom prostate phantom using automated image coregistration.

Dosimetric evaluation of completed brachytherapy implant procedures is crucial in developing proper technique. Additionally, accurate dosimetry may be useful in predicting the success of an implant. Accurate definition of the prostate gland and localization of the implanted radioactive sources are critical to attain meaningful dosimetric data. MRI is recognized as a superior imaging modality in delineating the prostate gland. More importantly, MRI can be used for source localization in postimplant prostates. However, the MRI derived source localization error bears further investigation. We present a useful tool in determining the source localization error as well as permitting the fusion, or coregistration, of selected data from multiple imaging modalities. We constructed a custom prostate phantom of hydrocolloid material precisely implanted with I-125 seeds. We obtained CT, the accepted modality, and MRI scans of the phantom. Subsequently, we developed an automated algorithm that employs a sequential translation of data sets to initially maximize coregistration and minimize error between data sets. This was followed by a noniterative solution for the necessary rotation transformation matrix using the Orthogonal Procrustes Solution. We applied this algorithm to CT and MRI scans of the custom phantom. CT derived source locations had source localization errors of 1.59 mm +/- 0.64. MRI derived source locations produced similar results (1.67 mm +/- 0.76). These errors may be attributed to the image digitization process.

Algorithms↗

Quantitative determination of cellulase concentration as distinct from cell concentration in studies of microbial cellulose utilization: analytical framework and methodological approach.

In analyzing microbial cellulose utilization, it would be useful to independently measure the mass concentration of cells and cellulase enzymes. Such measurements would allow investigation of the allocation of cellular resources between synthesis of cells and cellulase, in vivo cell- and cellulase-specific cellulose hydrolysis rates, and bioenergetics. Methodological protocols are not established for independent determination of cell and cellulase concentrations for the common case in which a substantial fraction of cellulase is attached to the cell surface. Alternative analytical approaches by which to develop such protocols are examined from the perspective of error minimization. For cell concentration measurement, acceptable accuracy is expected when the concentrations of a cell-specific component (e.g., DNA) is determined or when total protein is determined in conjunction with a measurement specific to cellulase. For cellulase concentration measurement, acceptable accuracy is expected when a measurement specific to cellulase such as ELISA is used. Several analytical approaches are rejected based on large expected errors.

Bacteria↗

The influence of trunk modelling in 3D biomechanical analysis of simple and complex lifting tasks.

OBJECTIVE: The purpose of this study was to evaluate different methods of estimating the body segment parameters and different methods of partitioning the trunk in order to reduce errors in the inverse dynamic analysis of lifting tasks. DESIGN: The same data set was used to evaluate moment errors associated to five linked models differing by the way the trunk was modelled. BACKGROUND: The inverse dynamic analysis of complex lifting tasks involving significant lower limb displacements requires the use of upper body linked models. However, the estimation of the body segment parameters of trunk segments and the flexible properties of the trunk can lead to errors when using this modelling approach. METHODS: Twenty-one male subjects performed four lifting tasks. Five cameras, two force platforms and a dynamometric box provided inputs to five tridimensional (3D) dynamic linked models. Three modelling parameters of the trunk were tested in these models: (1) the use of a geometric or a proportional anthropometric model to estimate the body segment parameters of the trunk, (2) the location of the antero-posterior position of the centre of mass of the trunk segments (at a percentage of the trunk depth vs on a line between hips and shoulders), and (3) the partitioning of the trunk in two or three segments. The behavior of these linked models was assessed with three different error analyses. RESULTS: The results revealed that all three modelling parameters of the trunk can reduce moment errors, especially when applied to subjects characterized by a larger abdomen. CONCLUSIONS: The inverse dynamic analysis of lifting tasks using an upper body modelling approach should take into consideration the interindividual variability inherent to the trunk morphology and non-rigidity. RELEVANCE: The trunk geometry and flexibility shows considerable variability among individuals. The use of upper body linked models requires adequate modelling of this segment to minimize errors in 3D inverse dynamic analysis of lifting tasks.

Adult↗

Increased taxon sampling greatly reduces phylogenetic error.

Several authors have argued recently that extensive taxon sampling has a positive and important effect on the accuracy of phylogenetic estimates. However, other authors have argued that there is little benefit of extensive taxon sampling, and so phylogenetic problems can or should be reduced to a few exemplar taxa as a means of reducing the computational complexity of the phylogenetic analysis. In this paper we examined five aspects of study design that may have led to these different perspectives. First, we considered the measurement of phylogenetic error across a wide range of taxon sample sizes, and conclude that the expected error based on randomly selecting trees (which varies by taxon sample size) must be considered in evaluating error in studies of the effects of taxon sampling. Second, we addressed the scope of the phylogenetic problems defined by different samples of taxa, and argue that phylogenetic scope needs to be considered in evaluating the importance of taxon-sampling strategies. Third, we examined the claim that fast and simple tree searches are as effective as more thorough searches at finding near-optimal trees that minimize error. We show that a more complete search of tree space reduces phylogenetic error, especially as the taxon sample size increases. Fourth, we examined the effects of simple versus complex simulation models on taxonomic sampling studies. Although benefits of taxon sampling are apparent for all models, data generated under more complex models of evolution produce higher overall levels of error and show greater positive effects of increased taxon sampling. Fifth, we asked if different phylogenetic optimality criteria show different effects of taxon sampling. Although we found strong differences in effectiveness of different optimality criteria as a function of taxon sample size, increased taxon sampling improved the results from all the common optimality criteria. Nonetheless, the method that showed the lowest overall performance (minimum evolution) also showed the least improvement from increased taxon sampling. Taking each of these results into account re-enforces the conclusion that increased sampling of taxa is one of the most important ways to increase overall phylogenetic accuracy.

Likelihood Functions↗

Methodology for increased precision in saturation transfer electron paramagnetic resonance studies of rotational dynamics.

Microsecond rotational motions of nitroxide spin labels are measured primarily with saturation transfer electron paramagnetic resonance (ST-EPR). In the present study we have used model system experiments to quantitatively evaluate different ST-EPR spectral parameters, both in-phase and out-of-phase, with an emphasis on techniques for suppressing the interference from weakly immobilized probes. Analyses of both systematic and random errors show that maximum sensitivity to small changes in correlation time and minimum ambiguity of interpretation are best achieved by combining measurements of both spectral line-shape, i.e., the ratio of line-heights, and spectral intensity, i.e., the absolute amplitude of either a position within a spectrum or a spectral integral. Errors in the measurement of correlation times for the two types of parameters tend to be complementary. Integrated intensity parameters are particularly useful in measuring microsecond probe motions in the presence of weakly immobilized components. We confirm that integrated intensity parameters are sometimes effective in rejecting signals from weakly immobilized probes, but the effectiveness of this rejection is more limited than previously supposed and depends on the type of parameter being measured. We describe procedures for evaluating and minimizing errors due to weakly immobilized probes, emphasizing the advantages of a new kind of intensity parameter obtained from integrated in-phase spectra. We provide detailed descriptions of experimental procedures, along with calibration plots of the most useful spectral parameters vs. rotational correlation time, which should make it possible for workers in other laboratories, using different instruments and sample geometries, to reproduce spectra quantitatively and to make accurate correlation time measurements.

Electron Spin Resonance Spectroscopy↗

Electron paramagnetic resonance imaging of tumor hypoxia: enhanced spatial and temporal resolution for in vivo pO2 determination.

The time-domain (TD) mode of electron paramagnetic resonance (EPR) data collection offers a means of estimating the concentration of a paramagnetic probe and the oxygen-dependent linewidth (LW) to generate pO2 maps with minimal errors. A methodology for noninvasive pO2 imaging based on the application of TD-EPR using oxygen-induced LW broadening of a triarylmethyl (TAM)-based radical is presented. The decay of pixel intensities in an image is used to estimate T2*, which is inversely proportional to pO2. Factors affecting T2* in each pixel are critically analyzed to extract the contribution of dissolved oxygen to EPR line-broadening. Suitable experimental and image-processing parameters were obtained to produce pO2 maps with minimal artifacts. Image artifacts were also minimized with the use of a novel data collection strategy using multiple gradients. Results from a phantom and in vivo imaging of tumor-bearing mice validated this novel method of noninvasive oximetry. The current imaging protocols achieve a spatial resolution of approximately 1.0 mm and a temporal resolution of approximately 9 s for 2D pO2 mapping, with a reliable oxygen resolution of approximately 1 mmHg (0.12% oxygen in gas phase). This work demonstrates that in vivo oximetry can be performed with good sensitivity, accuracy, and high spatial and temporal resolution.

Algorithms↗

The laboratory is a key partner in assuring patient safety.

Medical errors have a great impact on patient outcomes. They can cause serious injury to patients or even result in their deaths. However, morbidity and mortality can sometimes be prevented by the timely and effective action of health care workers. Several IOM Reports have focused on the problem of errors in the United States health care system and identified gaps that need to be addressed. As part of the overall health care system, clinical laboratories are vulnerable to medical errors. Because of significant efforts on the part of both the laboratories and the manufacturers of laboratory equipment and reagents, the errors in the analytic phase of the total testing process now represent the smallest portion of testing errors. Currently, laboratory testing errors occur most frequently in the preanalytic phase. The primary reason for the high prevalence of preanalytic errors is that, at the present time, it is difficult to monitor all preanalytic variables and to implement necessary improvement processes, particularly when some of the variables (like phlebotomy) are not under the control of the laboratory. Considerable efforts have been made by laboratory professionals and other stakeholders to decrease testing errors. Minimal quality requirements have been set through regulations for both laboratory testing and the manufacture of medical equipment and reagents. At the same time, nonregulatory approaches have greatly affected the quality of laboratory testing. These include laboratory standards, various quality improvement programs, voluntary reporting of adverse events, and, in the near future, the National Report on the Quality of Laboratory Services. The introduction of successful approaches from other industries, such as Six Sigma and Lean, also will help reduce the rate of laboratory errors. The clinical laboratory has done more than most other sectors of health care to decrease the occurrence of medical errors, making it a key partner inpatient safety.

Humans↗

Luminometric quantitation of photinus pyralis firefly luciferase and Escherichia coli beta-galactosidase in blood-contaminated organ lysates.

Firefly luciferase and Escherichia coli beta-galactosidase chemiluminescent reporter gene assays are rapid and sensitive means of detecting reporter enzyme activities in cell lysates of both eukaryotic and prokaryotic systems. In these assays, expression vectors containing the luciferase or beta-galactosidase genes are transferred to cells in culture or animal tissues in vivo. Crude cell or organ lysates are then prepared and submitted to enzyme assays. The level of enzyme activity is proportional to the efficiency of gene delivery and expression. When used with modified substrates that emit light when cleaved by the appropriate enzyme, luciferase and beta-galactosidase activity can be detected luminometrically. Attempts to apply these assays to cell lysates contaminated with blood, as from any whole organ lysate, have had questionable results thus far because of light absorption by hemoglobin in the ranges of light emission by both of these assays. We have made several adjustments to standard chemiluminescent reporter gene assay protocols to minimize errors in quantitation contributed by hemoglobin. To this end, we have developed a method for quantitating the protein due to blood and due to the organ itself in a blood-contaminated organ lysate. We have also found that the use of a colorimetric protein assay that is unaffected by hemoglobin absorbance is preferred for protein quantitation. In conclusion, luciferase and beta-galactosidase assays can be applied to blood-contaminated organ lysates; however, the luciferase assay proved to be superior due to minimal endogenous activity and lower absorption by hemoglobin of light emitted by the enzyme product.

Animals↗

[Use of paper indicator discs for determining the minimal inhibitory concentration of antibiotics].

Sensitivity of clinical strains of Staphylococcus and some Enterobacteriaceae to a number of widely used antibiotics was compared simultaneously with the use of two methods, i. e. the agar diffusion method and the method of serial dilutions. Regularities in distribution of the staphylococcal strains according to their sensitivity to antibiotics, such as erythromycin, benzylpenicillin, levomycetin and others were also studied with respect to every year using indicator paper discs. Interrelation observed during the comparison of the microbial sensitivity with the use of the two assay methods provided elaboration of the criteria for classification of the strains as "resistant" or "sensitive". The differentiation boarder for these two groups was determined according to the principle of the assay error minimization. A necessity of using standard dry media for specification of individual characteristics of various drugs in estimation of the microbial sensitivity to them by the agar diffusion method is emphasized.

Anti-Bacterial Agents↗

Modeling error and stability of endothelial cytoskeletal membrane parameters based on modeling transendothelial impedance as resistor and capacitor in series.

Transendothelial impedance across an endothelial monolayer grown on a microelectrode has previously been modeled as a repeating pattern of disks in which the electrical circuit consists of a resistor and capacitor in series. Although this numerical model breaks down barrier function into measurements of cell-cell adhesion, cell-matrix adhesion, and membrane capacitance, such solution parameters can be inaccurate without understanding model stability and error. In this study, we have evaluated modeling stability and error by using a chi(2) evaluation and Levenberg-Marquardt nonlinear least-squares (LM-NLS) method of the real and/or imaginary data in which the experimental measurement is compared with the calculated measurement derived by the model. Modeling stability and error were dependent on current frequency and the type of experimental data modeled. Solution parameters of cell-matrix adhesion were most susceptible to modeling instability. Furthermore, the LM-NLS method displayed frequency-dependent instability of the solution parameters, regardless of whether the real or imaginary data were analyzed. However, the LM-NLS method identified stable and reproducible solution parameters between all types of experimental data when a defined frequency spectrum of the entire data set was selected on the basis of a criterion of minimizing error. The frequency bandwidth that produced stable solution parameters varied greatly among different data types. Thus a numerical model based on characterizing transendothelial impedance as a resistor and capacitor in series and as a repeating pattern of disks is not sufficient to characterize the entire frequency spectrum of experimental transendothelial impedance.

Cells, Cultured↗

Effects of the vessel wall on electromagnetic flow measurement.

The theory of the electromagnetic blood flow measuring technique is extended from the well known case (conductive liquid flowing through an insulating tube) to more realistic situations. First the conductivity of the vessel is taken into account, and the electric potentials in both liquid and vessel wall are calculated. The potential difference V between two points on the outside of the vessel and on an axis at right angles to both magnetic field B and the flow v is computed. The comparison is made with the classical flowmeter result V = 2Ba[UNK] (a = inner radius of vessel, [UNK] = mean flow velocity). For an average artery, with a ratio of inside diameter to outside diameter of 0.85, the error is found to be in the order of -7 per cent. The blood is assumed to be four times as conductive as the wall tissue. The induced potentials are then calculated in the liquid, in the vessel wall, and in a thin liquid conductive layer surrounding the artery. A film of serous fluid which is likely to exist between a blood vessel and the applied flowmeter sleeve creates an additional shunt. The voltage between the flowmeter electrodes deviates from the expected result by -10 to -15 per cent if the film thickness is 3 per cent of the outside radius of the tube. The evidence is therefore established that flowmeter cuffs should fit the blood vessels accurately to minimize errors.

Arteries↗

Cardiac output by thermodilution technique. Effect of injectate's volume and temperature on accuracy and reproducibility in the critically Ill patient.

We compared determinations of cardiac output using various combinations of injectate volumes and temperatures to results obtained with 10 ml of iced (0 degrees C) injectate (standard technique) in 33 critically ill patients. The use of a 10-ml injectate at room temperature resulted in comparable reproducibility (12.7 vs 10.8 percent; not significant) and a small and nonsignificant error (-0.013 +/- 0.543 L/min). Five milliliters at room temperature resulted in markedly decreased reproducibility (17.9 vs 8.9 percent; p less than 0.05); however, the error associated with the technique was still not significant (0.136 +/- 0.829 L/min). When a 5-ml injectate at 0 degrees C was used, a reproducibility comparable to that of 10 ml at 0 degrees C was obtained (12.3 vs 7.5 percent; not significant). The results underestimated values obtained with 10 ml at 0 degrees C (-0.360 +/- 0.857 L/minute); however, the difference did not reach statistical significance. The use of 3 ml at 0 degrees C was associated with a substantial increase in variability, with a coefficient of variation of 32.0 percent (10.4 percent for 10 ml of iced injectate; p less than 0.01); however, the differences between the average value of cardiac output obtained with this technique and the standard technique were only minimal (error, -0.063 +/- 0.455; not significant). We reached the following conclusions: (1) the use of 10 ml at room temperature and 5 ml at 0 degrees C as the indicator for thermodilution determinations of cardiac output results in small and insignificant differences in reproducibility and accuracy from the standard technique; (2) five milliliters at room temperature and 3 ml at 0 degrees C are associated with markedly decreased reproducibility; however, the error in values for cardiac output obtained with these techniques is not statistically significant; and (3) the ability to use injectate at room temperature and in small volume should substantially simplify the technique, lowering its cost, and should prevent volume overloading.

Adult↗

Optical properties of intact leaves for estimating chlorophyll concentration.

Changes in leaf chlorophyll content can serve as relative indicators of plant vigor and environmental quality. This study identified reflectance, transmittance, and absorptance wavebands and band ratios within the 400- to 850-nm range for intact leaves that could be used to estimate extracted leaf chlorophyll per unit leaf area (areal concentration) with minimal error. Leaf optical properties along with chlorophyll a, b, and a + b concentrations were measured for the planar-leaved sweetgum (Liquidambar styraciflua L.), red maple (Acer rubrum L.), wild grape (Vitis rotundifolia Michx.), and switchcane [Arundinaria gigantea (Walter) Muhl.], and for needles of longleaf pine (Pinus palustris Miller). Generally, reflectance, transmittance, and absorptance corresponded most precisely with chlorophyll concentrations at wavelengths near 700 nm, although regressions were also strong in the 550- to 625-nm range. A power function was superior to a simple linear function in yielding low standard deviations of the estimate (s). When data were combined among the planar-leaved species, s values were low at approximately 50 mumol/m2 out of a 940 mumol/m2 range in chlorophyll a + b at best-fit wavelengths of 707 to 709 nm. Minimal s values for chlorophyll a + b ranged from 32 to 62 mumol/m2 across species when band ratios having numerator wavelengths of 693 to 720 nm were used with the application of a power function. Optimal denominator wavelengths for the band ratios were 850 nm for reflectance and transmittance and 400 nm for absorptance. This information can be applied in designing field portable chlorophyll meters and in the landscape-scale remote sensing of plant responses to the environment.

Chlorophyll↗

Gold is not always good enough: the shortcomings of randomization when evaluating interventions in small heterogeneous samples.

The three criteria for valid inference in therapeutic intervention evaluation are achieving control, avoiding systematic error, and minimizing random error. The randomized, double-blind, controlled trial has appropriately been accepted as the methodological gold standard because it is the only method with the potential to avoid systematic error resulting from unbalanced distributions of recognized and unrecognized determinants of outcome. This potential is not always realized, however, particularly with small, heterogeneous patient samples--which undermines the rationale for randomization in these circumstances. Minimization is one possible strategy to attain validity in such circumstances, but the acceptability of nonrandomized strategies is currently hampered by deference to the concept of randomization. For each intervention evaluation, research design should be considered afresh, focusing on the criteria determining validity rather than particular methodological elements.

Evidence-Based Medicine↗

Measurement reproducibility of two commercial knee test devices.

Objective evaluation of patients' knee motion using mechanical devices, whether for diagnostic purposes or for assessing rehabilitative procedures, requires that these devices be reproducible, in order to avoid errors independent of the patients' condition. This study prospectively evaluates the reproducibility of two commercial knee test systems, the KT 1000 Knee Ligament Arthrometer and the Genucom Knee Analysis System, by performing repeated measurements on twenty normal men. Average knee motion, between-subject variance, and within-subject variance were determined by performing repeat tests on the same day and one week later. No significant difference was found between measurements taken on the two different test days, but the within-subject variation was high. We found that larger applied forces or moments resulted in a larger variation in mean displacements. However, the percent variation about the mean (coefficient of variation) decreased with increasing applied loads. The coefficient of variation for the KT 1000 varied from 8 to 33% and for the Genucom, from 13 to 87%. On an individual basis, large variations were found in repeated measures for both devices. To minimize errors, we recommend that repeated tests be performed, higher forces and moments utilized, and specific flexion angles be used for each device and test. Even under these conditions, caution must be exercised when evaluating individual subjects.

Adult↗

Parallel conductance estimation by hypertonic dilution method with conductance catheter: effects of the bolus concentration and temperature.

The conductance catheter has gained momentum since its introduction in cardiovascular dynamics back in 1980. However, measuring errors are still blurring its clinical acceptance. The main objective here was to study the effects of the injected saline concentration and temperature on the evaluation of the parallel conductance, Gp, and thus, on the correction volume Vp. That conductance, Gp, and its associated volume, Vp, were computed using 167 saline dilution curves obtained with boluses at different concentrations and temperatures, injected in seven anesthetized closed-chest dogs. The excursion of the total conductance relative to the steady-state value during a saline maneuver showed good correlation with the injected concentration at both studied temperatures. The reference parallel volume (one reference per dog) was defined as the average value obtained with three successive maneuvers, at 6-M concentration and at body temperature; therefore, the method acted as its own reference. The variation of Vp relative to the reference value was clearly dependent on the injected concentration and on its temperature; dispersion was greater at 22 degrees C than at 40 degrees C. The variability would recognize also other causes, such as uncertainty of the extrapolation procedure and the thoracic redistribution of electrical field lines. As conclusion, it is recommended to characterize each maneuver by its concentration and temperature. Body temperature and 6-M concentration appear as the most recommendable combination for the injectate in most animals. Finally, these results intend to characterize the Vp estimation procedure in order to minimize errors. The variability of Vp, in different experimental conditions, demonstrated that both concentration and temperature are additional parameters that may modify the Gp estimate.

Animals↗