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P J Cornbleet

Publications and source records attributed to P J Cornbleet.

4 recordsLinked to original sources

Evaluation of the CELL-DYN 3000 differential.

The CELL-DYN 3000 (Unipath Corp., Mountain View, CA) differential was evaluated in a tertiary care hospital using samples with a broad range of distributional and morphologic abnormalities. Particular attention was directed to the performance of the instrument-generated suspect flags that occur as an aid to identify samples with abnormal leukocytes, as well as the estimates of abnormal cells that are made by the instrument. The CELL-DYN 3000 showed excellent quantitative results for the white blood cell differential compared with a 400-cell manual differential, in which morphologic abnormalities were absent or occurred in low numbers (< or = 5%). Specificity of the BLAST, VARIANT LYMPH, NRBC, WBC, or DIFF suspect flags (with the requirement that the blast estimate and variant lymphocyte estimate by the instrument be > or = 1%) was 82.6%. Sensitivity of these flags to detection of more than 5% "abnormal" leukocytes (blasts, malignant lymphoid cells, grossly dysplastic neutrophils, nucleated red blood cells, or reactive lymphocytes) or significant platelet clumping was 81.6%. The primary deficiency was the inability of the CELL-DYN 3000 to flag samples with small numbers (< or = 5%) of nucleated erythrocytes, lymphoid blasts, or hairy cells, or more than 5% reactive lymphocytes. Specificity of the IG flag (with immature granulocyte estimate > or = 3%) for immature granulocytes (metamyelocytes, myelocytes, or promyelocytes) was 94.9%. Sensitivity of the immature granulocyte flag varied from 41.7% for identifying IG > or = 1% to 100% for the three samples with immature granulocytes > or = 3%. Calculation of sensitivity and specificity to varying percentages of bands showed poor flagging performance, with many false-positive and false-negative results at all levels.

Blood Cells

Incorrect least-squares regression coefficients in method-comparison analysis.

The least-squares method is frequently used to calculate the slope and intercept of the best line through a set of data points. However, least-squares regression slopes and intercepts may be incorrect if the underlying assumptions of the least-squares model are not met. Two factors in particular that may result in incorrect least-squares regression coefficients are: (a) imprecision in the measurement of the independent (x-axis) variable and (b) inclusion of outliers in the data analysis. We compared the methods of Deming, Mandel, and Bartlett in estimating the known slope of a regression line when the independent variable is measured with imprecision, and found the method of Deming to be the most useful. Significant error in the least-squares slope estimation occurs when the ratio of the standard deviation of measurement of a single x value to the standard deviation of the x-data set exceeds 0.2. Errors in the least-squares coefficients attributable to outliers can be avoided by eliminating data points whose vertical distance from the regression line exceed four times the standard error the estimate.

Blood Chemical Analysis

Comparison of product moment and rank correlation coefficients in the assessment of laboratory method-comparison data.

We have studied the effects of range and distribution of data on product moment and rank correlation coefficients when deviation from a linear relationship was due solely to experimentally produced random error. All correlation coefficients (Pearson r, Spearman rho, and Kendall tau) were markedly influenced by the range of the data, and, for the rank correlation coefficients, the effect of range varied for different data distributions. While correlation coefficients may be useful in assessing whether an association exists between two variables, they are not useful in assessing the degree of random error about the regression line when a strong linear association is presumed to exist between the two variables. Thus, neither product moment nor rank correlation coefficients are of value in analysis of laboraoty method-comparison data. The standard deviation of the residual error of regression should be calculated as a measure of the random error about the regression line.

Alkaline Phosphatase

A histochemical study of bone marrow hypoplasia in anorexia nervosa.

The bone marrow in patients with anorexia nervosa is commonly hypoplastic with transformation of marrow fat. The normal fat cells which appear clear and open in the marrow are surrounded by an amorphous, gelatinous material, thought to represent an increase in the ordinary acid mucopolysaccharide ground substance of the bone marrow. Since this lesion has a similar appearance grossly and microscopically to the lesion of serous fat atrophy found in cachectic patients, we have compared the histochemical properties of this amorphous material in a bone marrow from a patient with anorexia nervosa and from cachectic patients with epicardial serous fat atrophy and with the background substance in hypoplastic marrows. Both this fat-associated deposition in the bone marrow and serous fat atrophy were found to be predominantly a hyaluronic acid mucopolysaccharide. In contrast, the background substance contained a less acid mucopolysaccharide. The increase in bone marrow acid mucopolysaccharide in anorexia nervosa may represent a serous fat atrophy change rather than an increase in ground substance.

Adipose Tissue