OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 43, Iss. 13 — May. 1, 2004
  • pp: 2643–2650

Skin cancer detection by spectroscopic oblique-incidence reflectometry: classification and physiological origins

Alejandro Garcia-Uribe, Nasser Kehtarnavaz, Guillermo Marquez, Victor Prieto, Madeleine Duvic, and Lihong V. Wang  »View Author Affiliations


Applied Optics, Vol. 43, Issue 13, pp. 2643-2650 (2004)
http://dx.doi.org/10.1364/AO.43.002643


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Abstract

Data obtained from 102 skin lesions in vivo by spectroscopic oblique-incidence reflectometry were analyzed. The participating physicians initially divided the skin lesions into two visually distinguishable groups based on the lesions’ melanocytic conditions. Group 1 consisted of the following two cancerous and benign subgroups: (1) basal cell carcinomas and squamous cell carcinomas and (2) benign actinic keratoses, seborrheic keratoses, and warts. Group 2 consisted of (1) dysplastic nevi and (2) benign common nevi. For each group, a bootstrap-based Bayes classifier was designed to separate the benign from the dysplastic or cancerous tissues. A genetic algorithm was then used to obtain the most effective combination of spatiospectral features for each classifier. The classifiers, tested with prospective blind studies, reached statistical accuracies of 100% and 95% for groups 1 and 2, respectively. Properties that related to cell-nuclear size, to the concentration of oxyhemoglobin, and to the concentration of deoxyhemoglobin as well as the derived concentration of total hemoglobin and oxygen saturation were defined to explain the origins of the classification outcomes.

© 2004 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(170.3890) Medical optics and biotechnology : Medical optics instrumentation
(290.0290) Scattering : Scattering
(300.0300) Spectroscopy : Spectroscopy

History
Original Manuscript: November 7, 2003
Revised Manuscript: February 6, 2004
Published: May 1, 2004

Citation
Alejandro Garcia-Uribe, Nasser Kehtarnavaz, Guillermo Marquez, Victor Prieto, Madeleine Duvic, and Lihong V. Wang, "Skin cancer detection by spectroscopic oblique-incidence reflectometry: classification and physiological origins," Appl. Opt. 43, 2643-2650 (2004)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-43-13-2643


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References

  1. American Cancer Society, “Melanoma and non-melanoma skin cancer,” http://www.cancer.org (2002).
  2. H. Ganster, A. Pinz, R. Rohrer, E. Wildling, M. Binder, H. Kittler, “Automated melanoma recognition,” IEEE Trans. Med. Imaging 20, 233–239 (2001). [CrossRef] [PubMed]
  3. V. P. Wallace, D. C. Crawford, P. S. Mortimer, R. J. Ott, J. C. Bamber, “Spectrophotometric assessment of pigmented skin lesions: methods and feature selection for evaluation of diagnostic performance,” Phys. Med. Biol. 45, 735–751 (2000). [CrossRef] [PubMed]
  4. V. Backman, M. B. Wallace, L. T. Perelman, J. T. Arendt, R. Gurjar, M. G. Muller, Q. Zhang, G. Zonios, E. Kline, T. McGillican, S. Shapshay, T. Valdez, K. Badizadegan, J. M. Crawford, M. Fitzmaurice, S. Kabani, H. S. Levin, M. Seiler, R. R. Dasari, I. Itzkan, J. Van Dam, M. S. Feld, “Detection of preinvasive cancer cells,” Nature 406, 35–36 (2000). [CrossRef] [PubMed]
  5. K. M. Cooney, K. W. Gossage, M. J. McShane, E. W. J. van der Breggen, M. Motamedi, G. L. Cote, “Development of an optical system for the detection of oral cancer using near-infrared spectroscopy,” in Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Institute of Electrical and Electronics Engineers, Piscataway, N.J. (1998), pp. 906–909.
  6. J. Roning, M. Riech, “Registration of nevi in successive skin images for early detection of melanoma,” in Proceedings of the Fourteenth International Conference on Pattern Recognition (Institute of Electrical and Electronics Engineers, Piscataway, N.J., (1998), pp. 352–357.
  7. M. Mehrubeoglu, N. Kehtarnavaz, G. Marquez, M. Duvic, L.-H. Wang, “Skin lesion classification using oblique-incidence diffuse reflectance spectroscopic imaging,” Appl. Opt. 41, 182–192 (2002). [CrossRef] [PubMed]
  8. G. Marquez, L.-H. Wang, “White light oblique incidence reflectometer for measuring absorption and reduced scattering spectra of tissue-like turbid media,” Opt. Express 1, 454–460 (1997), http://www.opticsexpress.org . [CrossRef] [PubMed]
  9. J. Groswami, A. Chan, Fundamentals of Wavelets, Theory, Algorithms and Applications, 1st ed. (Wiley Interscience, New York, 1999).
  10. H. Vafaie, K. Jong, “Genetic algorithms as a tool for feature selection in machine learning,” in Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (Institute of Electrical Engineers, Piscataway, N.J., 1992), pp. 200–203.
  11. R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification, 2nd ed. (Wiley Interscience, New York, 2000).
  12. A. M. Zoubir, B. Boashash, “The bootstrap and its applications in signal processing,” IEEE Signal Process. Mag. 15(1), 56–76 (1998). [CrossRef]
  13. L.-H. Wang, S. L. Jacques, “Use of a laser beam with an oblique angle of incidence to measure the reduced scattering coefficient of a turbid medium,” Appl. Opt. 34, 2362–2366 (1995). [CrossRef] [PubMed]
  14. H. B. Stone, J. M. Brown, T. L. Phillips, R. M. Sutherland, “Oxygen in human tumors: correlations between methods of measurement and response to therapy,” Radiat. Res. 136, 422–434 (1993). [CrossRef] [PubMed]
  15. R. S. Cotran, V. Kumar, T. Collins, Robbins Pathologic Basis of Disease, 6th ed. (Saunders, Philadelphia, Pa., 1999), pp. 1–498 and 1170–1268.
  16. S. Thomsen, D. Tatman, “Physiological and pathological factors of human breast disease that can influence optical diagnosis,” Ann. N. Y. Acad. Sci. 838, 171–193 (1998). [CrossRef] [PubMed]
  17. H. Liu, D. A. Boas, Y. Zhang, A. G. Yodh, B. Chance, “Determination of optical properties and blood oxygenation in tissue using continuous NIR light,” Phys. Med. Biol. 40, 1983–1993 (1995). [CrossRef] [PubMed]
  18. H. Jiang, G. Marquez, L.-H. Wang, “Particle sizing in concentrated suspensions by use of steady-state, continuous-wave photon migration techniques,” Opt. Lett. 23, 394–396 (1998). [CrossRef]
  19. E. Sevick-Muraca, J. Pierce, H. B. Jiang, J. Kao, “Photon-migration measurement of latex size distribution in concentrated suspensions,” AIChE J. 43, 655–664 (1997). [CrossRef]
  20. H. C. van de Hulst, Light Scattering by Small Particles (Dover, New York, 1981).
  21. J. R. Mourant, J. P. Freyer, A. H. Hielscher, A. A. Eick, D. Shen, T. M. Johnson, “Mechanisms of light scattering from biological cells relevant to noninvasive optical-tissue diagnostics,” Appl. Opt. 37, 3586–3593 (1998). [CrossRef]
  22. J. R. Mourant, M. Canpolat, C. Brocker, O. Esponda-Ramos, T. M. Johnson, A. Matanock, K. Stetter, J. P. Freyer, “Light scattering from cells: the contribution of the nucleus and the effects of proliferative status,” J. Biomed. Opt. 5, 131–137 (2000). [CrossRef] [PubMed]
  23. R. Drezek, A. Dunn, R. Richards-Kortum, “Light scattering from cells: finite-difference time-domain simulations and goniometric measurements,” Appl. Opt. 38, 3651–3661 (1999). [CrossRef]
  24. J. R. Mourant, T. M. Johnson, V. Doddi, J. P. Freyer, “Angular dependent light scattering from multicellular spheroids,” J. Biomed. Opt. 7, 93–99 (2002). [CrossRef] [PubMed]
  25. L. T. Perelman, V. Backman, M. Wallace, G. Zonios, R. Manoharan, A. Nusrat, S. Shields, M. Seiler, C. Lima, T. Hamano, I. Itzkan, J. Vandam, J. M. Crawford, M. S. Feld, “Observation of periodic fine structure in reflectance from biological tissue—a new technique for measuring nuclear size distribution,” Phys. Rev. Lett. 80, 627–630 (1998). [CrossRef]

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