Literature DB >> 8440924

In vivo epiluminescence microscopy: improvement of early diagnosis of melanoma.

H Pehamberger1, M Binder, A Steiner, K Wolff.   

Abstract

The majority of pigmented skin lesions can be diagnosed correctly on the basis of clinical criteria; however, there remain a surprisingly high number of small pigmented lesions in which the distinction between melanocytic and non-melanocytic and benign and malignant lesions, and thus between melanoma and non-melanoma, is difficult or impossible to make with the naked eye. Epiluminescence microscopy is a non-invasive technique that, by use of oil immersion, makes sub-surface structures of skin accessible for in vivo microscopic examination and thus provides additional criteria for the diagnosis of pigmented lesions. The technique of epiluminescence microscopy is reviewed, and the significant improvement in the clinical diagnosis of pigmented skin lesions and, in particular, melanoma by this technique is documented.

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Year:  1993        PMID: 8440924     DOI: 10.1111/1523-1747.ep12470285

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  22 in total

1.  A new look at fibroepithelioma of pinkus: features on confocal microscopy.

Authors:  Martha Viera; Sadegh Amini; Ran Huo; Margaret Oliviero; Sara Bassalo; Harold Rabinovitz
Journal:  J Clin Aesthet Dermatol       Date:  2008-07

Review 2.  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

3.  Impact of in vivo reflectance confocal microscopy on the number needed to treat melanoma in doubtful lesions.

Authors:  I Alarcon; C Carrera; J Palou; L Alos; J Malvehy; S Puig
Journal:  Br J Dermatol       Date:  2014-04       Impact factor: 9.302

4.  Modeling clinical judgment and implicit guideline compliance in the diagnosis of melanomas using machine learning.

Authors:  Andrea Sboner; Constantin F Aliferis
Journal:  AMIA Annu Symp Proc       Date:  2005

5.  Artificial Intelligence Based Skin Classification Using GMM.

Authors:  M Monisha; A Suresh; M R Rashmi
Journal:  J Med Syst       Date:  2018-11-20       Impact factor: 4.460

Review 6.  [Malignant melanoma. Diagnosis and therapy].

Authors:  E S Schultz; G Schuler
Journal:  HNO       Date:  2005-11       Impact factor: 1.284

7.  Automatic lesion border selection in dermoscopy images using morphology and color features.

Authors:  Nabin K Mishra; Ravneet Kaur; Reda Kasmi; Jason R Hagerty; Robert LeAnder; Ronald J Stanley; Randy H Moss; William V Stoecker
Journal:  Skin Res Technol       Date:  2019-03-14       Impact factor: 2.365

8.  Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes.

Authors:  Bulent Erkol; Randy H Moss; R Joe Stanley; William V Stoecker; Erik Hvatum
Journal:  Skin Res Technol       Date:  2005-02       Impact factor: 2.365

9.  Dermoscopic features of cutaneous melanoma are associated with clinical characteristics of patients and tumours and with MC1R genotype.

Authors:  M C Fargnoli; F Sera; M Suppa; D Piccolo; M T Landi; A Chiarugi; C Pellegrini; S Seidenari; K Peris
Journal:  J Eur Acad Dermatol Venereol       Date:  2014-03-04       Impact factor: 6.166

10.  Value of Dermoscopy in a Population-Based Screening Sample by Dermatologists.

Authors:  Isabelle Hoorens; Katrien Vossaert; Sven Lanssens; Laurence Dierckxsens; Giuseppe Argenziano; Lieve Brochez
Journal:  Dermatol Pract Concept       Date:  2019-07-31
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