Literature DB >> 2189362

Accuracy in the clinical diagnosis of malignant melanoma.

C M Grin1, A W Kopf, B Welkovich, R S Bart, M J Levenstein.   

Abstract

The computerized database (1955 through 1982) of the Oncology Section of the Skin and Cancer Unit of New York (NY) University Medical Center includes data on 13,878 lesions. Of these lesions, 214 were diagnosed clinically and histologically as malignant melanoma (MM). An additional 51 lesions, diagnosed clinically as other than MMs, were found histologically to be MM. Seventy-nine lesions were clinically diagnosed as MM but were found histologically to be other entities. An analysis of the clinical diagnostic accuracy showed some improvement over the three periods studied (1955 through 1963, 1964 through 1973, and 1974 through 1982). Although the diagnostic accuracy for the best period (1974 through 1982) was only 64%, the diagnosis of MM was made in 84.5% of the histologically proved cases of MM, reflecting a high degree of sensitivity.

Entities:  

Mesh:

Year:  1990        PMID: 2189362

Source DB:  PubMed          Journal:  Arch Dermatol        ISSN: 0003-987X


  16 in total

1.  Clinical recognition of early invasive malignant melanoma.

Authors:  R M MacKie
Journal:  BMJ       Date:  1990-11-03

Review 2.  The detection and management of dysplastic nevi and early melanoma.

Authors:  J K Rivers
Journal:  World J Surg       Date:  1992 Mar-Apr       Impact factor: 3.352

3.  Visual screening for malignant melanoma: a cost-effectiveness analysis.

Authors:  Elena Losina; Rochelle P Walensky; Alan Geller; Frederick C Beddingfield; Lindsey L Wolf; Barbara A Gilchrest; Kenneth A Freedberg
Journal:  Arch Dermatol       Date:  2007-01

4.  A systematic heuristic approach for feature selection for melanoma discrimination using clinical images.

Authors:  Ying Chang; R Joe Stanley; Randy H Moss; William Van Stoecker
Journal:  Skin Res Technol       Date:  2005-08       Impact factor: 2.365

5.  Spectral indexes obtained by implementation of the fractional Fourier and Hermite transform for the diagnosis of malignant melanoma.

Authors:  Esbanyely Garza-Flores; Esperanza Guerra-Rosas; Josué Álvarez-Borrego
Journal:  Biomed Opt Express       Date:  2019-11-04       Impact factor: 3.732

6.  Colour analysis of skin lesion regions for melanoma discrimination in clinical images.

Authors:  Jixiang Chen; R Joe Stanley; Randy H Moss; William Van Stoecker
Journal:  Skin Res Technol       Date:  2003-05       Impact factor: 2.365

7.  A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images.

Authors:  R Joe Stanley; William V Stoecker; Randy H Moss; Harold S Rabinovitz; Armand B Cognetta; Giuseppe Argenziano; H Peter Soyer
Journal:  Skin Res Technol       Date:  2008-11       Impact factor: 2.365

8.  Colour histogram analysis for melanoma discrimination in clinical images.

Authors:  Yunus Faziloglu; R Joe Stanley; Randy H Moss; William Van Stoecker; Rob P McLean
Journal:  Skin Res Technol       Date:  2003-05       Impact factor: 2.365

9.  A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images.

Authors:  R Joe Stanley; Randy Hays Moss; William Van Stoecker; Chetna Aggarwal
Journal:  Comput Med Imaging Graph       Date:  2003 Sep-Oct       Impact factor: 4.790

10.  Melanoma screening with cellular phones.

Authors:  Cesare Massone; Rainer Hofmann-Wellenhof; Verena Ahlgrimm-Siess; Gerald Gabler; Christoph Ebner; H Peter Soyer
Journal:  PLoS One       Date:  2007-05-30       Impact factor: 3.240

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