Optical transfer diagnosis of pigmented lesions

David L. Swanson, Susan D. Laman, Marina Biryulina, Gennady Ryzhikov, Jakob J. Stamnes, Borge Hamre, Lu Zhao, Endre Sommersten, Frank S. Castellana, Knut Stamnes

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Background Optical transfer diagnosis is a novel melanoma detection system that uses morphologic-physiologic mapping. Objective To further evaluate the potential of optical transfer diagnosis for distinguishing benign from malignant pigmented melanocytic neoplasms. Methods AND MATERIALS Ninety-four patients with pigmented lesions suggestive of melanoma were referred for optical transfer diagnosis. After lesions were scanned with the camera, they were removed for histopathologic examination by two dermatopathologists each. From the recorded images, morphologic-physiologic maps were created with prediction models of light absorption and scattering by chromophores such as hemoglobin, keratin, and melanin at different epidermal and dermal depths. Entropy and relative entropy values derived from the morphologic-physiologic maps and a set of pure morphologic parameters were analyzed for output prediction of melanoma versus nonmelanoma. Dermoscopic images were reviewed and scored using the color, architecture, symmetry, and homogeneity (CASH) algorithm to assign a value of clinical atypia. Results Of the 118 scanned and biopsied lesions (median CASH score 8), 11 were identified as melanoma or atypical melanocytic hyperplasia consistent with melanoma. For identification of melanomas, optical transfer diagnosis had a sensitivity of 100% and a specificity of 90%. Conclusions This technology continues to be a promising adjunct to clinical skin cancer screening. This work was supported in part by Balter Medical, Inc., Maplewood, New Jersey. Kristian P. Nielsen provided critical review of this manuscript.

Original languageEnglish (US)
Pages (from-to)1979-1986
Number of pages8
JournalDermatologic Surgery
Volume36
Issue number12
DOIs
StatePublished - Dec 2010

Fingerprint

Melanoma
Entropy
Color
Melanins
Skin Neoplasms
Keratins
Early Detection of Cancer
Hyperplasia
Hemoglobins
Technology
Skin
Neoplasms

ASJC Scopus subject areas

  • Dermatology
  • Surgery

Cite this

Swanson, D. L., Laman, S. D., Biryulina, M., Ryzhikov, G., Stamnes, J. J., Hamre, B., ... Stamnes, K. (2010). Optical transfer diagnosis of pigmented lesions. Dermatologic Surgery, 36(12), 1979-1986. https://doi.org/10.1111/j.1524-4725.2010.01808.x

Optical transfer diagnosis of pigmented lesions. / Swanson, David L.; Laman, Susan D.; Biryulina, Marina; Ryzhikov, Gennady; Stamnes, Jakob J.; Hamre, Borge; Zhao, Lu; Sommersten, Endre; Castellana, Frank S.; Stamnes, Knut.

In: Dermatologic Surgery, Vol. 36, No. 12, 12.2010, p. 1979-1986.

Research output: Contribution to journalArticle

Swanson, DL, Laman, SD, Biryulina, M, Ryzhikov, G, Stamnes, JJ, Hamre, B, Zhao, L, Sommersten, E, Castellana, FS & Stamnes, K 2010, 'Optical transfer diagnosis of pigmented lesions', Dermatologic Surgery, vol. 36, no. 12, pp. 1979-1986. https://doi.org/10.1111/j.1524-4725.2010.01808.x
Swanson DL, Laman SD, Biryulina M, Ryzhikov G, Stamnes JJ, Hamre B et al. Optical transfer diagnosis of pigmented lesions. Dermatologic Surgery. 2010 Dec;36(12):1979-1986. https://doi.org/10.1111/j.1524-4725.2010.01808.x
Swanson, David L. ; Laman, Susan D. ; Biryulina, Marina ; Ryzhikov, Gennady ; Stamnes, Jakob J. ; Hamre, Borge ; Zhao, Lu ; Sommersten, Endre ; Castellana, Frank S. ; Stamnes, Knut. / Optical transfer diagnosis of pigmented lesions. In: Dermatologic Surgery. 2010 ; Vol. 36, No. 12. pp. 1979-1986.
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AB - Background Optical transfer diagnosis is a novel melanoma detection system that uses morphologic-physiologic mapping. Objective To further evaluate the potential of optical transfer diagnosis for distinguishing benign from malignant pigmented melanocytic neoplasms. Methods AND MATERIALS Ninety-four patients with pigmented lesions suggestive of melanoma were referred for optical transfer diagnosis. After lesions were scanned with the camera, they were removed for histopathologic examination by two dermatopathologists each. From the recorded images, morphologic-physiologic maps were created with prediction models of light absorption and scattering by chromophores such as hemoglobin, keratin, and melanin at different epidermal and dermal depths. Entropy and relative entropy values derived from the morphologic-physiologic maps and a set of pure morphologic parameters were analyzed for output prediction of melanoma versus nonmelanoma. Dermoscopic images were reviewed and scored using the color, architecture, symmetry, and homogeneity (CASH) algorithm to assign a value of clinical atypia. Results Of the 118 scanned and biopsied lesions (median CASH score 8), 11 were identified as melanoma or atypical melanocytic hyperplasia consistent with melanoma. For identification of melanomas, optical transfer diagnosis had a sensitivity of 100% and a specificity of 90%. Conclusions This technology continues to be a promising adjunct to clinical skin cancer screening. This work was supported in part by Balter Medical, Inc., Maplewood, New Jersey. Kristian P. Nielsen provided critical review of this manuscript.

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