Literature DB >> 8408794

Statistical evaluation of epiluminescence microscopy criteria for melanocytic pigmented skin lesions.

A Steiner1, M Binder, M Schemper, K Wolff, H Pehamberger.   

Abstract

BACKGROUND: Epiluminescence microscopy (ELM) is a noninvasive technique by which the clinical diagnosis of pigmented skin lesions (PSL) can be improved. Many ELM criteria have been described, but their significance in the differential diagnosis of PSL has not yet been established.
OBJECTIVE: The purpose of this study was to determine the value of ELM criteria in the differential diagnosis of PSL.
METHODS: Two hundred one melanocytic PSL (61 common nevi, 60 dysplastic nevi, and 80 melanomas) were investigated with ELM for the presence of certain ELM criteria; their significance was determined by calculating the odds ratios.
RESULTS: Individual ELM criteria have different weights of significance in the differential diagnosis of melanocytic PSL. Selected patterns of ELM criteria adjusted to the distinct types of PSL considerably improve the diagnostic accuracy of melanocytic PSL.
CONCLUSION: The prevalence of certain distinct ELM criteria in a given melanocytic PSL has statistical value in differential diagnosis.

Entities:  

Mesh:

Year:  1993        PMID: 8408794     DOI: 10.1016/0190-9622(93)70225-i

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  14 in total

1.  A methodological approach to the classification of dermoscopy images.

Authors:  M Emre Celebi; Hassan A Kingravi; Bakhtiyar Uddin; Hitoshi Iyatomi; Y Alp Aslandogan; William V Stoecker; Randy H Moss
Journal:  Comput Med Imaging Graph       Date:  2007-03-26       Impact factor: 4.790

2.  An Efficient Melanoma Diagnosis Approach Using Integrated HMF Multi-Atlas Map Based Segmentation.

Authors:  D Roja Ramani; S Siva Ranjani
Journal:  J Med Syst       Date:  2019-06-12       Impact factor: 4.460

3.  An improved objective evaluation measure for border detection in dermoscopy images.

Authors:  M Emre Celebi; Gerald Schaefer; Hitoshi Iyatomi; William V Stoecker; Joseph M Malters; James M Grichnik
Journal:  Skin Res Technol       Date:  2009-11       Impact factor: 2.365

4.  A soft kinetic data structure for lesion border detection.

Authors:  Sinan Kockara; Mutlu Mete; Vincent Yip; Brendan Lee; Kemal Aydin
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

5.  Approximate lesion localization in dermoscopy images.

Authors:  M Emre Celebi; Hitoshi Iyatomi; Gerald Schaefer; William V Stoecker
Journal:  Skin Res Technol       Date:  2009-08       Impact factor: 2.365

Review 6.  Lesion border detection in dermoscopy images.

Authors:  M Emre Celebi; Hitoshi Iyatomi; Gerald Schaefer; William V Stoecker
Journal:  Comput Med Imaging Graph       Date:  2009-01-03       Impact factor: 4.790

7.  Analysis of globule types in malignant melanoma.

Authors:  Jin Xu; Kapil Gupta; William V Stoecker; Yamini Krishnamurthy; Harold S Rabinovitz; Austin Bangert; David Calcara; Margaret Oliviero; Joseph M Malters; Rhett Drugge; R Joe Stanley; Randy H Moss; M Emre Celebi
Journal:  Arch Dermatol       Date:  2009-11

8.  Border detection in dermoscopy images using statistical region merging.

Authors:  M Emre Celebi; Hassan A Kingravi; Hitoshi Iyatomi; Y Alp Aslandogan; William V Stoecker; Randy H Moss; Joseph M Malters; James M Grichnik; Ashfaq A Marghoob; Harold S Rabinovitz; Scott W Menzies
Journal:  Skin Res Technol       Date:  2008-08       Impact factor: 2.365

9.  Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images.

Authors:  Sinan Kockara; Mutlu Mete; Bernard Chen; Kemal Aydin
Journal:  BMC Bioinformatics       Date:  2010-10-07       Impact factor: 3.169

10.  Lesion detection in demoscopy images with novel density-based and active contour approaches.

Authors:  Mutlu Mete; Nikolay Metodiev Sirakov
Journal:  BMC Bioinformatics       Date:  2010-10-07       Impact factor: 3.169

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