Literature DB >> 11198478

Precision of automatic measurements of pigmented skin lesion parameters with a MelaFind(TM) multispectral digital dermoscope.

D Gutkowicz-Krusin1, M Elbaum, A Jacobs, S Keem, A W Kopf, H Kamino, S Wang, P Rubin, H Rabinovitz, M Oliviero.   

Abstract

The purpose of this study was to assess the precision of automatic computerized measurement of parameters that may be useful in the differentiation of malignant melanoma from benign pigmented skin lesions, and also to determine the feasibility of quantitative monitoring of skin lesions over time. Ten independent sequences of images were acquired with a MelaFind multispectral digital dermoscope for each of 12 benign or malignant pigmented skin lesions. The sequences of images were processed automatically to provide 10 independent measurements of the various parameters for each lesion. Parameters included lesion area, greatest 'diameter', perimeter, reflectance and asymmetry. The precision of each parameter determination was computed from the mean and standard deviation of the 10 measurements of that parameter. The relative errors in determining the lesion area, 'diameter' and perimeter were found to be 6%, 3% and 4%, respectively. Other lesion parameters that are used in differentiating melanomas from benign skin lesions were also analysed as a function of wavelength. In the blue band (about 430 nm) the relative error was about 7% for the mean lesion reflectance and about 7% for the asymmetry parameter. These results demonstrate the feasibility of using MelaFind for objective quantitative monitoring of changes in pigmented skin lesions over time. As suggested by some studies, such information is useful in the early detection of malignant melanoma. The results show that parameters obtained automatically from MelaFind images are sufficiently precise to allow pertinent parameters to be used to classify pigmented skin lesions.

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Year:  2000        PMID: 11198478     DOI: 10.1097/00008390-200012000-00008

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  17 in total

1.  Correlation Between the Evaluation of Pigmented Lesions by a Multi-spectral Digital Skin Lesion Analysis Device and the Clinical and Histological Features of Melanoma.

Authors:  Richard R Winkelmann; Darrell S Rigel; Laura Ferris; Arthur Sober; Natalie Tucker; Clay J Cockerell
Journal:  J Clin Aesthet Dermatol       Date:  2016-03-01

Review 2.  Fluorescence Imaging for Cancer Screening and Surveillance.

Authors:  K E Tipirneni; E L Rosenthal; L S Moore; A D Haskins; N Udayakumar; A H Jani; W R Carroll; A B Morlandt; M Bogyo; J Rao; Jason M Warram
Journal:  Mol Imaging Biol       Date:  2017-10       Impact factor: 3.488

Review 3.  [Modern diagnostic procedures in dermatological oncology].

Authors:  C Kellner; U Reinhold
Journal:  Pathologe       Date:  2015-02       Impact factor: 1.011

Review 4.  New diagnostic aids for melanoma.

Authors:  Laura Korb Ferris; Ryan J Harris
Journal:  Dermatol Clin       Date:  2012-07       Impact factor: 3.478

5.  Negative predictive value of pigmented lesion evaluation by multispectral digital skin lesion analysis in a community practice setting.

Authors:  Richard R Winkelmann; Darrell S Rigel; Emily Kollmann; Nicole Swenson; Natalie Tucker; Mark S Nestor
Journal:  J Clin Aesthet Dermatol       Date:  2015-03

6.  Impact of Guidance Provided by a Multispectral Digital Skin Lesion Analysis Device Following Dermoscopy on Decisions to Biopsy Atypical Melanocytic Lesions.

Authors:  Richard R Winkelmann; Jane Yoo; Natalie Tucker; Richard White; Darrell S Rigel
Journal:  J Clin Aesthet Dermatol       Date:  2015-09

7.  Comparison of the Distribution of Morphological Disorganization of Pigmented Lesions in a Community-based Practice versus a University-based Clinical Setting as Measured by a Multispectral Digital Skin Lesion Analysis Device: Impact on Diagnosis.

Authors:  Richard R Winkelmann; Gregory Nikolaidis; Darrell S Rigel; Natalie Tucker; Laura Speck
Journal:  J Clin Aesthet Dermatol       Date:  2015-02

8.  Clinical study of noninvasive in vivo melanoma and nonmelanoma skin cancers using multimodal spectral diagnosis.

Authors:  Liang Lim; Brandon Nichols; Michael R Migden; Narasimhan Rajaram; Jason S Reichenberg; Mia K Markey; Merrick I Ross; James W Tunnell
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

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.  Enhancement of International Dermatologists' Pigmented Skin Lesion Biopsy Decisions Following Dermoscopy with Subsequent Integration of Multispectral Digital Skin Lesion Analysis.

Authors:  Richard R Winkelmann; Aaron S Farberg; Natalie Tucker; Richard White; Darrell S Rigel
Journal:  J Clin Aesthet Dermatol       Date:  2016-07-01
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