Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/113627
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Glasson, J. | - |
dc.contributor.author | Hill, R. | - |
dc.contributor.author | Summerford, M. | - |
dc.contributor.author | Giglio, S. | - |
dc.contributor.editor | Onderdonk, A. | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Journal of Clinical Microbiology, 2016; 54(2):300-304 | - |
dc.identifier.issn | 0095-1137 | - |
dc.identifier.issn | 1098-660X | - |
dc.identifier.uri | http://hdl.handle.net/2440/113627 | - |
dc.description.abstract | While advancements have been made in some areas of pathology with diagnostic materials being screened using image analysis technologies, the reporting of cultures from agar plates remains a manual process. We compared the results for 2,163 urine cultures read by a reference panel of microbiologists, by the routine laboratory process, and by an automated plate reading system, APAS (LBT Innovations Ltd., South Australia). APAS detected colonies with a sensitivity of 99.1% and a specificity of 99.3% on blood agar, while on MacConkey agar, the colony detection sensitivity was 99.4% with a specificity of 99.3%. The device's ability to enumerate growth had an accuracy of 89.2%, and the morphological identification of colonies showed a high level of performance for the colony types typical of Escherichia coli and other enteric bacilli. On blood agar, lactose-fermenting colonies were morphologically identified with a sensitivity of 98.9%, while on MacConkey agar they were identified with a sensitivity of 99.2%. In this first clinical evaluation, APAS demonstrated high performance in the detection, enumeration, and colony classification of isolates compared with that for conventional plate-reading methods. The device found all cases reported by the laboratory and detected the most commonly encountered organisms found in urinary tract infections. | - |
dc.description.statementofresponsibility | John Glasson, Rhys Hill, Michael Summerford, Steven Giglio | - |
dc.language.iso | en | - |
dc.publisher | American Society for Microbiology | - |
dc.rights | Copyright © 2016 Glasson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-ShareAlike 3.0 Unported license, which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original author and source are credited. | - |
dc.source.uri | http://dx.doi.org/10.1128/jcm.02365-15 | - |
dc.subject | Bacteriological techniques | - |
dc.title | Evaluation of an image analysis device (APAS) for screening urine cultures | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1128/JCM.02365-15 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Aurora harvest 8 Computer Science publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl_113627.pdf | Published Version | 1.09 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.