Literature DB >> 15724011

Limitations of dermoscopy in the recognition of melanoma.

Hans Skvara1, Ligia Teban, Manfred Fiebiger, Michael Binder, Harald Kittler.   

Abstract

OBJECTIVE: To compare dermoscopic features of melanocytic nevi with those of early melanomas that were not excised initially because of their uncharacteristic clinical and dermoscopic appearance.
DESIGN: Retrospective study of the baseline images of 325 melanocytic skin lesions that were observed by digital dermoscopy and finally excised because of changes over time.
SETTING: A dermatologic clinic and a dermatologic department at a university hospital. MAIN OUTCOME MEASURES: Comparison of baseline images of melanomas and melanocytic nevi by pattern analysis, the ABCD rule of dermoscopy, and the 7-point checklist.
RESULTS: Baseline dermoscopic images of 262 melanocytic nevi and 63 melanomas from 315 patients were included in the analysis. The patterns of dermoscopic features observed in the baseline images of melanocytic lesions finally diagnosed as melanomas during follow-up did not differ substantially from the patterns observed in the baseline images of melanocytic nevi. Pattern analysis, the ABCD rule of dermoscopy, and the 7-point checklist failed to achieve adequate diagnostic accuracy for melanoma. In retrospect, no dermoscopic feature or pattern of features could be identified that reliably differentiated between melanomas and melanocytic nevi at the time of the first presentation.
CONCLUSION: Dermoscopy depends on the appearance of classic dermoscopic features and is therefore limited in the diagnosis of very early and mainly featureless melanomas.

Entities:  

Mesh:

Year:  2005        PMID: 15724011     DOI: 10.1001/archderm.141.2.155

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


  28 in total

Review 1.  Strategies for early melanoma detection: Approaches to the patient with nevi.

Authors:  Agnessa Gadeliya Goodson; Douglas Grossman
Journal:  J Am Acad Dermatol       Date:  2009-05       Impact factor: 11.527

2.  Towards skin polarization characterization using polarimetric technique.

Authors:  Pejhman Ghassemi; Mohammad Hossein Miranbaygi
Journal:  J Zhejiang Univ Sci B       Date:  2009-08       Impact factor: 3.066

3.  Slow-growing melanoma: Report of five cases.

Authors:  Paolo Roma; Imma Savarese; Antonia Martino; Domenico Martino; Pietro Annese; Patrizio Capoluongo; Ines Mordente; Rachele Nicolino; Iris Zalaudek; Giuseppe Argenziano
Journal:  J Dermatol Case Rep       Date:  2007-12-29

4.  Optical Radiomic Signatures Derived from Optical Coherence Tomography Images Improve Identification of Melanoma.

Authors:  Zahra Turani; Emad Fatemizadeh; Tatiana Blumetti; Steven Daveluy; Ana Flavia Moraes; Wei Chen; Darius Mehregan; Peter E Andersen; Mohammadreza Nasiriavanaki
Journal:  Cancer Res       Date:  2019-02-18       Impact factor: 12.701

5.  The radial growth phase of malignant melanoma: multi-phase modelling, numerical simulations and linear stability analysis.

Authors:  P Ciarletta; L Foret; M Ben Amar
Journal:  J R Soc Interface       Date:  2010-07-23       Impact factor: 4.118

6.  Lack of compliance: a challenge for digital dermoscopy follow-up.

Authors:  Guilherme Augusto Gadens
Journal:  An Bras Dermatol       Date:  2014 Mar-Apr       Impact factor: 1.896

7.  Reflectance confocal microscopy as an aid to dermoscopy to improve diagnosis on equivocal lesions: evaluation of three bluish nodules.

Authors:  Sara Bassoli; Stefania Seidenari; Giovanni Pellacani; Caterina Longo; Anna Maria Cesinaro
Journal:  Dermatol Res Pract       Date:  2010-09-16

8.  Chemical nose sensors: an alternative strategy for cancer diagnosis.

Authors:  Ngoc D B Le; Subinoy Rana; Vincent M Rotello
Journal:  Expert Rev Mol Diagn       Date:  2013-03       Impact factor: 5.225

Review 9.  Current and emerging technologies in melanoma diagnosis: the state of the art.

Authors:  Estee L Psaty; Allan C Halpern
Journal:  Clin Dermatol       Date:  2009 Jan-Feb       Impact factor: 3.541

10.  Detection and differentiation of normal, cancerous, and metastatic cells using nanoparticle-polymer sensor arrays.

Authors:  Avinash Bajaj; Oscar R Miranda; Ik-Bum Kim; Ronnie L Phillips; D Joseph Jerry; Uwe H F Bunz; Vincent M Rotello
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-23       Impact factor: 11.205

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