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  • Toward a Multimodal Cell Analysis of Brush Biopsies for the Early Detection of Oral Cancer

    Author(s)
    Remmerbach, Torsten
    Meyer-Ebrecht, Dietrich
    Aach, Til
    Wu¨rflinger, Thomas
    Bell, Andre A.
    E. Schneider, Timna
    Nietzke, Nadja
    Frerich, Bernhard
    Böcking, Alfred
    Griffith University Author(s)
    Remmerbach, Torsten W.
    Year published
    2009
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    Abstract
    BACKGROUND: 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 ...
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    BACKGROUND: 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
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    Journal Title
    Cancer Cytopathology
    Volume
    117
    Issue
    3
    DOI
    https://doi.org/10.1002/cncy.20028
    Copyright Statement
    © 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.
    Subject
    Biochemistry and cell biology
    Medical microbiology
    Oncology and carcinogenesis
    Cancer diagnosis
    Publication URI
    http://hdl.handle.net/10072/30707
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    • Journal articles

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