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dc.contributor.authorRemmerbach, Torstenen_US
dc.contributor.authorMeyer-Ebrecht, Dietrichen_US
dc.contributor.authorAach, Tilen_US
dc.contributor.authorWu¨rflinger, Thomasen_US
dc.contributor.authorBell, Andre A.en_US
dc.contributor.authorE. Schneider, Timnaen_US
dc.contributor.authorNietzke, Nadjaen_US
dc.contributor.authorFrerich, Bernharden_US
dc.contributor.authorBöcking, Alfreden_US
dc.date.accessioned2017-05-03T15:18:42Z
dc.date.available2017-05-03T15:18:42Z
dc.date.issued2009en_US
dc.date.modified2010-06-16T05:43:36Z
dc.identifier.issn19346638en_US
dc.identifier.doi10.1002/cncy.20028en_AU
dc.identifier.urihttp://hdl.handle.net/10072/30707
dc.description.abstractBACKGROUND: This report describes what to the authors' knowledge is the first clinical application of semiautomated multimodal cell analysis (MMCA), a novel technique for the early detection of cancer for cases with a limited number of suspicious cells. In this clinical study, MMCA was applied to oral cancer diagnostics on brush biopsies. The MMCA approach was based on the sequential application of multiple stainings of identical, slide-based cells and repeated relocalizations and measurements of their diagnostic features, resulting in multiparametric features of individual cells. Data integration of the variously stained cells increased diagnostic accuracy. The implementation of MMCA also enabled fully automatic, adaptive image preprocessing, including registration of multimodal images and segmentation of cell nuclei. METHODS: In a preliminary clinical trial, 47 slides from brush biopsies of suspicious oral lesions were analyzed. The final histologic diagnoses included 20 squamous cell carcinomas, 7 hyperkeratotic leukoplakias, and 20 lichen planus mucosae. RESULTS: The stepwise application of 2 additional approaches (morphology, DNA content, argyrophilic nucleolar organizer region counts) increased the specificity of conventional cytologic diagnosis from 92.6% to 100%. This feasibility study provided a proof of concept, demonstrating efficiency, robustness, and diagnostic accuracy on slide-based cytologic specimens. CONCLUSIONS: The authors concluded that MMCA may become a sensitive and highly specific, objective, and reproducible adjuvant diagnostic tool for the identification of neoplastic changes in oral smears that contain only a few abnormal cellsen_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherJohn Wiley & Sons, Inc.en_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom228en_US
dc.relation.ispartofpageto235en_US
dc.relation.ispartofissue3en_US
dc.relation.ispartofjournalCancer Cytopathologyen_US
dc.relation.ispartofvolume117en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchCancer Diagnosisen_US
dc.subject.fieldofresearchcode111202en_US
dc.titleToward a Multimodal Cell Analysis of Brush Biopsies for the Early Detection of Oral Canceren_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Health, School of Dentistry and Oral Healthen_US
gro.rights.copyrightCopyright 2009 American Cancer Society. Published by John Wiley & Sons, Ltd. Self-archiving of the author-manuscript version is not yet supported by the American Cancer Society. Please refer to the journal link for access to the definitive, published version or contact the authors for more information.en_AU
gro.date.issued2009
gro.hasfulltextNo Full Text


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