Advertisement

Noninvasive Technologies for the Diagnosis of Cutaneous Melanoma

Published:August 07, 2017DOI:https://doi.org/10.1016/j.det.2017.06.006

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribers receive full online access to your subscription and archive of back issues up to and including 2002.

      Content published before 2002 is available via pay-per-view purchase only.

      Subscribe:

      Subscribe to Dermatologic Clinics
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Elbaum M.
        • Kopf A.W.
        • Rabinovitz H.S.
        • et al.
        Automatic differentiation of melanoma and melanocytic nevi with multispectral digital dermoscopy: a feasibility study.
        J Am Acad Dermatol. 2001; 44: 207-218
        • Monheit G.
        • Cognetta A.B.
        • Ferris L.
        • et al.
        The performance of MelaFind: a prospective multicenter study.
        Arch Dermatol. 2011; 147: 188-194
        • Winkelmann R.R.
        • Rigel D.S.
        • Kollmann E.
        • et al.
        Negative predictive value of pigmented lesion evaluation by multispectral digital skin lesion analysis in a community practice setting.
        J Clin Aesthet Dermatol. 2015; 8: 745-747
        • Moncrieff M.
        • Cotton S.
        • Claridge E.
        • et al.
        Spectrophotometric intracutaneous analysis: a new technique for imaging pigmented skin lesions.
        Br J Dermatol. 2002; 146: 448-457
        • Claridge E.
        • Cotton S.
        • Hall P.
        • et al.
        From colour to tissue histology: physics-based interpretation of images of pigmented skin lesions.
        Med Image Anal. 2003; 7: 489-502
        • Matts P.J.
        • Dykes P.J.
        • Marks R.
        The distribution of melanin in skin determined in vivo.
        Br J Dermatol. 2007; 156: 620-628
        • Govindan K.
        • Smith J.
        • Knowles L.
        • et al.
        Assessment of nurse-led screening of pigmented lesions using SIAscope.
        J Plast Reconstr Aesthet Surg. 2007; 60: 639-645
        • Walter F.M.
        • Morris H.C.
        • Humphrys E.
        • et al.
        Effect of adding a diagnostic aid to best practice to manage suspicious pigmented lesions in primary care: randomized controlled trial.
        BMJ. 2012; 345: e4110
        • Rigel D.S.
        • Roy M.
        • Yoo J.
        • et al.
        Impact of guidance from a computer-aided multispectral digital skin lesion analysis device on decision to biopsy lesions clinically suggestive of melanoma.
        Arch Dermatol. 2012; 148: 541-543
        • Yoo J.
        • Rigel D.S.
        • Roy M.
        • et al.
        Impact of guidance from a multispectral digital skin lesion analysis device on dermatology residents' decisions to biopsy lesions clinically suggestive of melanoma.
        J Am Acad Dermatol. 2013; 68: AB152
        • Winkelmann R.R.
        • Yoo J.
        • Tucker N.
        • et al.
        Impact of guidance provided by a multispectral digital skin lesion analysis device following dermoscopy on decisions to biopsy atypical melanocytic lesions.
        J Clin Aesthet Dermatol. 2015; 8: 21-24
        • Winkelmann R.R.
        • Hauschild A.
        • Tucker N.
        • et al.
        The impact of multispectral digital skin lesion analysis on German dermatologist decisions to biopsy atypical pigmented lesions with clinical characteristics of melanoma.
        J Clin Aesthet Dermatol. 2015; 8: 27-29
        • Winkelmann R.R.
        • Tucker N.
        • White R.
        • et al.
        Pigmented skin lesion biopsies after computer-aided multispectral digital skin lesion analysis.
        J Am Osteopath Assoc. 2015; 115: 666-669
        • Winkelmann R.R.
        • Farberg A.S.
        • Tucker N.
        • et al.
        Enhancement of international dermatologists’ pigmented skin lesion biopsy decisions following dermoscopy with subsequent integration of multi-spectral digital skin lesion analysis.
        J Clin Aesthet Dermatol. 2016; 9: 53-55
      1. Farberg AS, Winkelmann RR, Tucker N, et al. The impact of quantitative data provided by a multi-spectral digital skin lesion analysis device on dermatologists’ decisions to biopsy pigmented lesions. J Clin Aesthet Dermatol, in press.

        • Haniffa M.A.
        • Lloyd J.J.
        • Lawrence C.M.
        The use of a spectrophotometric intracutaneous analysis device in the real-time diagnosis of melanoma in the setting of a melanoma screening clinic.
        Br J Dermatol. 2007; 156: 1350-1352
        • Glud M.
        • Gniadecki R.
        • Drzewiecki K.T.
        Spectrophotometric intracutaneous analysis versus dermoscopy for the diagnosis of pigmented skin lesions: prospective, double-blind study in a secondary reference centre.
        Melanoma Res. 2009; 19: 176-179
        • Tomatis S.
        • Carrara M.
        • Bono A.
        • et al.
        Automated melanoma detection with a novel multispectral imaging system: results of a prospective study.
        Phys Med Biol. 2005; 50: 1675-1687
        • Carrara M.
        • Bono A.
        • Bartoli C.
        • et al.
        Multispectral imaging and artificial neural network: mimicking the management decision of the clinician facing pigmented skin lesions.
        Phys Med Biol. 2007; 52: 2599-2613