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    Quantitative histopathology identifies patients with thin melanomas who are at risk for metastases.

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    Description:
    Final Accepted Manuscript
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    Author
    Glazer, Evan S
    Bartels, Peter H
    Lian, Fangru
    Kha, Stephanie T
    Morgan, Sherif S
    da Silva, Vinicius D
    Yozwiak, Michael L
    Bartels, Hubert G
    Cranmer, Lee D
    de Oliveira, Jefferson K
    Alberts, David S
    Warneke, James A
    Krouse, Robert S
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    Affiliation
    University of Arizona College of Medicine
    University of Arizona Cancer Center
    University of Arizona College of Science
    Southern Arizona Veterans Affairs Health Care System
    Issue Date
    2016-06
    Keywords
    aggressive melanoma
    karyometry
    quantitative histopathology
    thin melanoma
    
    Metadata
    Show full item record
    Publisher
    LIPPINCOTT WILLIAMS & WILKINS
    Citation
    Quantitative histopathology identifies patients with thin melanomas who are at risk for metastases. 2016, 26 (3):261-6 Melanoma Res.
    Journal
    Melanoma research
    Rights
    Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    This small exploratory study was designed to test the hypothesis that thin melanoma lesions contain nuclei of two similar phenotypes, in different proportions. In lesions likely to progress to metastatic disease, one of these phenotypes predominates. Histopathological sections from 18 cases of thin melanomas which did not progress to metastasis, and from 10 cases which did progress were imaged and digitized at high resolution, with a total of 2084 and 1148 nuclei, respectively, recorded. Five karyometric features were used to discriminate between nuclei from indolent and from potentially metastatic lesions. For each case, the percentage of nuclei classified by the discriminant function as having come from a potentially metastatic lesion was determined and termed as case classification criterion. Standard histopathological criteria, such as ulceration and high mitotic index, indicated in this material the need for intensive therapy for only one of the 10 participants, as compared with 7/10 identified correctly by the karyometric measure. Using a case classification criterion threshold of 40%, the overall accuracy was 86% in the test set. The proportion of nuclei of an aggressive phenotype may lend itself as an effective prognostic clue for thin melanoma lesions. The algorithm developed in this training set appears to identify those patients at high risk for metastatic disease, and demonstrates a basis for a further study to assess the utility of prognostic clues for thin melanomas.
    Note
    12 month embargo.
    ISSN
    1473-5636
    PubMed ID
    26795273
    DOI
    10.1097/CMR.0000000000000236
    Version
    Final accepted manuscript
    Sponsors
    This research was supported in part by grants from the National Cancer Institute (P01 CA27502-33, and the Arizona Cancer Center Support Grant CA023074), Bethesda, MD. The authors also gratefully acknowledge support from The Jim Click Family Foundation, Tucson, Arizona, and the J. Russell Skelton Family, Phoenix, Arizona.
    ae974a485f413a2113503eed53cd6c53
    10.1097/CMR.0000000000000236
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