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Characterization of errors and predictability of disease using the Advia 120 hematology analyzer leukocyte differential

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dc.contributor.authorRyseff, Julia Kathryn, author
dc.contributor.authorBohn, Andrea, advisor
dc.contributor.authorWeiser, Glade, committee member
dc.contributor.authorVap, Linda, committee member
dc.contributor.authorVeir, Julia, committee member
dc.date.accessioned2007-01-03T08:07:06Z
dc.date.available2007-01-03T08:07:06Z
dc.date.issued2012
dc.description.abstractAutomated instrumentation has allowed for enhanced speed, precision and cost-effective measures in the reporting of hematological data. These instruments have expanded the information attainable beyond simple numerical data through advanced techniques such as flow cytometry and cytochemical staining to produce specialized parameters and scatterplots as novel data delivery systems. The Advia 120 hematology analyzer leukocyte differentiation method produces several novel parameters, including two channel (perox and baso) cytograms and several indicators of intracellular myeloperoxidase activity. These parameters can be diagnostically useful in assessing the idiosyncratic species and mechanical issues that arise during routine operation, as well as provide discriminatory information related to variety of disease processes (inflammation, neoplasia, etc).The purpose of this study was to identify specific cytogram misclassification patterns and errors that would have the greatest impact on clinical operation or interpretation of hematologic data. In addition, the analyzer phenomenon of pseudobasophilia was investigated for its potential use in raising clinical awareness of circulating atypical cells and their intrinsic properties. Lastly, the peroxidase indices MPXI, neut-x and neut-y were investigated for their diagnostic potential in identifying systemic inflammation and myeloid leukemias. The results of this study detailed several cytogram patterns and their causes and misclassifications, of which recognition and understanding promote awareness to the existence of certain hematological findings otherwise not documented in numerical data as well as to the limitations inherent in instrumentation. The analyzer phenomenon of pseudobasophilia was demonstrated in canine samples and was highly associated with the presence of atypical cells, commonly leukemia, in circulating blood. Lastly, the myeloperoxidase indices failed to demonstrate any benefit in differentiating hematologic changes associated with systemic inflammation and myeloid leukemias.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierRyseff_colostate_0053N_11037.pdf
dc.identifierETDF2012500097MIPA
dc.identifier.urihttp://hdl.handle.net/10217/66678
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectAdvia 120
dc.subjectcytogram
dc.subjectleft shift
dc.subjectmyeloperoxidase
dc.subjectpseudobasophilia
dc.subjecttoxic changes
dc.titleCharacterization of errors and predictability of disease using the Advia 120 hematology analyzer leukocyte differential
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineMicrobiology, Immunology, and Pathology
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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