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dc.contributor.authorRemmerbach, Torsten
dc.contributor.authorMeyer-Ebrecht, Dietrich
dc.contributor.authorAach, Til
dc.contributor.authorWu¨rflinger, Thomas
dc.contributor.authorBell, Andre A.
dc.contributor.authorE. Schneider, Timna
dc.contributor.authorNietzke, Nadja
dc.contributor.authorFrerich, Bernhard
dc.contributor.authorBöcking, Alfred
dc.date.accessioned2017-05-03T15:18:42Z
dc.date.available2017-05-03T15:18:42Z
dc.date.issued2009
dc.date.modified2010-06-16T05:43:36Z
dc.identifier.issn19346638
dc.identifier.doi10.1002/cncy.20028
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 cells
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherJohn Wiley & Sons, Inc.
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom228
dc.relation.ispartofpageto235
dc.relation.ispartofissue3
dc.relation.ispartofjournalCancer Cytopathology
dc.relation.ispartofvolume117
dc.rights.retentionY
dc.subject.fieldofresearchBiochemistry and cell biology
dc.subject.fieldofresearchMedical microbiology
dc.subject.fieldofresearchOncology and carcinogenesis
dc.subject.fieldofresearchCancer diagnosis
dc.subject.fieldofresearchcode3101
dc.subject.fieldofresearchcode3207
dc.subject.fieldofresearchcode3211
dc.subject.fieldofresearchcode321102
dc.titleToward a Multimodal Cell Analysis of Brush Biopsies for the Early Detection of Oral Cancer
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Health, School of Dentistry and Oral Health
gro.rights.copyright© 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.
gro.date.issued2009
gro.hasfulltextNo Full Text
gro.griffith.authorRemmerbach, Torsten W.


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