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Multi-Spectral Digital Skin Lesion Analysis (MSDSLA) Multi-spectral analysis is a technology proposed to enable dermatologists to assess skin lesion properties that are not visible to the human eye, using images taken at a number of wavelengths, to improve accuracy of lesion categorization.
Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs).
The MelaFind System is a “noninvasive, multispectral computer vision system that uses light from visible to near-infrared wavelengths to evaluate skin lesions up to 2.5 mm beneath the skin.” Multispectral analysis is intended to enable dermatologists to assess skin lesion properties that are not visible to the human eye to improve accuracy of lesion categorization.
In this paper we use the well-known fractal and binarization classification methods on multispectral skin lesion images. Existing research indicates that successful prediction of melanoma patterns can increase the accuracy of melanoma recognition.
The authors propose a quantitative diagnostic predictive probability model using Multispectral Digital Skin Lesion Analysis for melanoma and other high-risk pigmented lesions and evaluate its effectiveness optimizing biopsy decisions by dermatologists.
Diagnostic potential of principal component analysis (PCA) for distant skin melanoma recognition is discussed. Processing of the measured clinical multi-spectral images (31 melanomas and 94 nonmalignant pigmented lesions) in the wavelength range of 450-950 nm by means of PCA resulted in 87 % sensitivity and 78 % specificity for separation between malignant melanomas and pigmented nevi.
Pigmented Skin Lesion Biopsies After Computer-Aided Multispectral Digital Skin Lesion Analysis You will receive an email whenever this article is corrected, updated, or cited in the literature. You can manage this and all other alerts in My Account.
New technologies, such as a multi-spectral digital skin lesion analysis (MSDSLA) device (MelaFind, STRATA Skin Sciences, Horsham, Pennsylvania) may be useful to enhance clinician evaluation of concerning pigmented skin lesions. Previous studies evaluated the effect of only the binary output.
BACKGROUND: Several technologies have been developed to aid dermatologists in the detection of melanoma in vivo including dermoscopy, multispectral digital skin lesion analysis (MDSLA), and reflectance confocal microscopy (RCM). To our knowledge, there have been no studies directly comparing MDSLA and RCM.
A clinical trial comprising 266 pigmented lesions and 49 vascular lesions has been performed in three Riga clinics by means of multi-spectral imaging analysis. The imaging system Nuance 2.4 (CRI) and self-developed software for mapping of the main skin chromophores were used.
Dermoscopy is the conventional technique used for the clinical inspection of human skin lesions. However, the identification of diagnostically relevant morphologies can become a complex task. We report on the development of a polarization multispectral dermoscope for the in vivo imaging of skin lesions. Linearly polarized illumination at three distinct spectral regions (470, 530 and 625 nm.
Paired comparison of the sensitivity and specificity of multispectral digital skin lesion analysis and reflectance confocal microscopy in the detection of melanoma in vivo: A cross-sectional study Author links open overlay panel Eunice Song BS b Jane M. Grant-Kels MD c Helen Swede PhD a b Jody L. D'Antonio CMA c Avery Lachance MD, MPH d Soheil S. Dadras MD, PhD c Arni K. Kristjansson MD c.
Multi-spectral imaging analysis of pigmented and vascular skin lesions: Results of a clinical trial. the decision of undergoing biopsy from the pigmented lesion using multispectral digital skin.
Multispectral Digital Skin Lesion Analysis Melanoma is a form of skin cancer that originates in the pigment-producing melanocytes. Most melanocytes produce melanin, and the tumors are commonly pigmented brown or black. Melanoma is less common than basal and squamous cell skin cancer, but it is more likely to metastasize than other skin cancers.
Impact of guidance from a computer-aided multispectral digital skin lesion analysis device on decision to biopsy lesions clinically suggestive of melanoma Darrell S. Rigel, Mrinalini Roy, Jane Yoo, Clay J. Cockerell, June K. Robinson, Richard White.
CONCLUSION AND RELEVANCE: An approach that integrates automated imaging technology like the Multispectral Digital Skin Lesion Analysis device, along with another diagnostic aid, with the end result being cost-effective, easy to use by even non-experts and comforting for the pediatric patient is likely to compete to be the new gold standard in successful early diagnosis and management of melanoma.
Impact of guidance from a computer-aided multispectral digital skin lesion analysis device on decision to biopsy lesions clinically suggestive of melanoma. Archives of dermatology, 148 (4), 541-543.
The Impact of Quantitative Data Provided by a Multi-spectral Digital Skin Lesion Analysis Device on Dermatologists'Decisions to Biopsy Pigmented Lesions. Publication Type: Journal Article: Google Scholar; Department of Psychology 106-B Kastle Hall University of Kentucky Lexington, KY 40506-0044 Tel: 859-257-9640 Fax: 859-323-1979.