Skip to main content
Log in

Early Diagnosis of Skin Melanoma Using Several Imaging Systems

  • BIOPHOTONICS
  • Published:
Optics and Spectroscopy Aims and scope Submit manuscript

Abstract

A complex approach was proposed for early diagnosis of skin melanoma. The approach includes sequential examinations of skin lesions using several imaging systems. A focus is placed on the specifics of morphometry using clinical images of skin neoplasms, features of imaging systems, and main steps of automated image processing and image recognition to diagnose melanoma. Metrological features were described for the approach; errors of measuring the clinical parameters of skin neoplasms did not exceed the allowable error level. The approach was tested, and the sensitivity and specificity of the methods employed was found to be higher than 90%.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.

Similar content being viewed by others

REFERENCES

  1. N. Eisemann, A. Waldmann, A. C. Geller, M. A. Weinstock, B. Volkmer, R. Greinert, E. W. Breitbart, and A. Katalinic, J. Invest. Dermatol. 134, 43 (2014). https://doi.org/10.1038/jid.2013.304

    Article  Google Scholar 

  2. P. E. LeBoit, G. Burg, D. Weedon, and A. Sarasain, World Health Organization Classification of Tumours. Pathology and Genetics of Skin Tumours (IARC, Lyon, 2006).

    Google Scholar 

  3. W. R. Shaikh, M. Xiong, and M. A. Weinstock, Arch. Dermatol. 148, 30 (2012). https://doi.org/10.1001/archdermatol.2011.264

    Article  Google Scholar 

  4. S. T. Chen, A. C. Geller, and H. Tsao, Curr. Dermatol. Rep. 2, 24 (2013). https://doi.org/10.1007/s13671-012-0035-5

    Article  Google Scholar 

  5. V. Nikolaou and A. J. Stratigos, Br. J. Dermatol. 170, 11 (2014). https://doi.org/10.1111/bjd.12492

    Article  Google Scholar 

  6. H. Tsao, J. M. Olazagasti, K. M. Cordoro, J. D. Brewer, S. C. Taylor, J. S. Bordeaux, M. M. Chren, A. J. Sober, C. Tegeler, R. Bhushan, and W. S. Begolka, J. Am. Acad. Dermatol. 72, 717 (2015). https://doi.org/10.1016/j.jaad.2015.01.025

    Article  Google Scholar 

  7. R. L. Siegel, K. D. Miller, and A. Jemal, CA Cancer J. Clin. 66, 7 (2016). https://doi.org/10.3322/caac.21332

    Article  Google Scholar 

  8. R. L. Siegel, K. D. Miller, and A. Jemal, CA Cancer J. Clin. 67, 7 (2017). https://doi.org/10.3322/caac.21387

    Article  Google Scholar 

  9. L. Rahib, B. D. Smith, R. Aizenberg, A. B. Rosenzweig, J. M. Fleshman, and L. M. Matrisian, Cancer Res. 74, 2913 (2014). https://doi.org/10.1158/0008-5472.CAN-14-0155

    Article  Google Scholar 

  10. O. M. Konopatskova and L. F. Zhandarova, in Proceedings of the All-Union Symposium,1990, p. 33.

  11. J. E. Mayer, S. M. Swetter, T. Fu, and A. C. Geller, J. Am. Acad. Dermatol. 71, 599e1 (2014). https://doi.org/10.1016/j.jaad.2014.05.046

  12. K. G. Kudrin, O. V. Matorin, and I. V. Reshetov, J. Phys.: Conf. Ser. 584, 012001 (2015). https://doi.org/10.1088/1742-6596/584/1/012001

    Article  Google Scholar 

  13. A. Eggermont, A. Spatz, and C. Robert, Lancet 1, 816 (2014). https://doi.org/10.1016/S0140-6736(13)60802-8

    Article  Google Scholar 

  14. P. Rubegni, M. Burroni, R. Perotti, M. Fimiani, L. Andreassi, G. Cevenini, and P. Barbini, J. Invest. Dermatol. 119, 471 (2002).

    Article  Google Scholar 

  15. M. L. Bafounta, A. Beauchet, P. Aegerter, and P. Saiag, Arch. Dermatol. 137, 1343 (2001).

    Article  Google Scholar 

  16. D. E. Cohen, O. P. Sangueza, E. Pass, and M. J. Stiller, Int. J. Dermatol. 32, 257 (1993). https://doi.org/10.1111/j.1365-4362.1993.tb04263.x

    Article  Google Scholar 

  17. M. Bleve, P. Capra, F. Pavanetto, and P. Perugini, Dermatol. Res. Pract., 673706 (2012). https://doi.org/10.1155/2012/673706

  18. L. V. Demidov, D. V. Sokolov, and I. V. Bulycheva, J. Blokhin Russ. Cancer Res. Center RAMS 18, 36 (2007).

    Google Scholar 

  19. H. Kittler, A. A. Marghoob, and G. Argenziano, J. Am. Acad. Dermatol. 74, 1093 (2016). https://doi.org/10.1016/j.jaad.2015.12.038

    Article  Google Scholar 

  20. C. Rosendahl, M. Hishon, A. Cameron, S. Barksdale, D. Weedon, and H. Kittler, Dermatol. Pract. Concept. 4, 69 (2014). https://doi.org/10.5826/dpc.0402a15

    Article  Google Scholar 

  21. T. Deinlein, G. Richtig, C. Schwab, F. Scarfi, E. Arzberger, I. Wolf, R. Hofmann-Wellenhof, and I. Zalaudek, J. German Soc. Dermatol. 14, 144 (2016). https://doi.org/10.1111/ddg.12903

    Article  Google Scholar 

  22. M. Bleve, P. F. Capra, and P. Perugini, Magn. Reson. Med. 37, 185 (1997).

    Article  Google Scholar 

  23. M. Rajadhyaksha, S. Gonzalez, J. M. Zavislan, R. R. Anderson, and R. H. Webb, J. Invest. Dermatol. 113, 293 (1999). https://doi.org/10.1046/j.1523-1747.1999.00690.x

    Article  Google Scholar 

  24. S. Gonzalez, Actas Dermosifiliograf. 100, 59 (2009).

    Article  Google Scholar 

  25. C. Longo, M. Ragazzi, M. Ragazzi, K. Nehal, A. Bennassar, G. Pellacani, and J. M. Guilera, Dermatol. Clin. 34, 497 (2016). https://doi.org/10.1016/j.det.2016.05.012

    Article  Google Scholar 

  26. G. Pellacani, B. de Pace, C. Reggiani, A. M. Cesinaro, G. Argenziano, I. Zalaudek, H. P. Soyer, and C. Longo, Exp. Dermatol. 23, 414 (2014). https://doi.org/10.1111/exd.12417

    Article  Google Scholar 

  27. A. M. Rollins, M. D. Kulkarni, S. Yazdanfar, R. Ungarunyawee, and J. A. Izatt, Opt. Express 3, 219 (1998). https://doi.org/10.1364/OE.3.000219

    Article  ADS  Google Scholar 

  28. C. E. Saxer, J. F. de Boer, H. B. Park, Y. Zhao, Z. Chen, and J. S. Nelson, Opt. Lett. 25, 1355 (2000). https://doi.org/10.1364/OL.25.001355

    Article  ADS  Google Scholar 

  29. J. Olsen, L. Themstrup, and G. B. Jemec, G. Ital. Dermatol. Venereol. 150, 603 (2015).

    Google Scholar 

  30. N. MacKinnon, F. Vasefi, N. Booth, and D. L. Farkas, Proc. SPIE 9711, 971111 (2016). https://doi.org/10.1117/12.2222415

    Article  Google Scholar 

  31. B. Zhao and Y. He, Exp. Rev. Anticancer Ther. 10, 1797 (2010). https://doi.org/10.1586/era.10.154

    Article  Google Scholar 

  32. D. J. Rohrbach, D. Muffoletto, J. Huihui, Saager R. K. Keymel, A. Paquette, J. Morgan, N. Zeitouni, and U. Sunar, Acad. Radiol. 21, 263 (2014). https://doi.org/10.1016/j.acra.2013.11.013

    Article  Google Scholar 

  33. V. Neuschmelting, N. C. Burton, H. Lockau, A. Urich, S. Harmsen, V. Ntziachristos, and M. F. Kirchera, Photoacoustics 4, 1 (2016). https://doi.org/10.1016/j.pacs.2015.12.001

    Article  Google Scholar 

  34. J. Müller, J. Hartmann, and C. Bert, Phys. Med. Biol. 61, 2646 (2016). https://doi.org/10.1088/0031-9155/61/7/2646

    Article  Google Scholar 

  35. B. Petersen, P. A. Philipsena, and H. C. Wulf, Photochem. Photobiol. Sci. 13, 1123 (2014). https://doi.org/10.1039/C4PP00066H

    Article  Google Scholar 

  36. O. Faust, U. R. Acharya, E. Y. K. Ng, T. J. Hong, and W. Yu, Infrared Phys. Technol. 66, 160 (2014). https://doi.org/10.1016/j.infrared.2014.06.001

    Article  ADS  Google Scholar 

  37. J. P. North, M. C. Garrido, N. A. Kolaitis, and P. E. LeBoit, Am. J. Surg. Pathol. 38, 824 (2014). https://doi.org/10.1097/PAS.0000000000000189

    Article  Google Scholar 

  38. E. G. Borisova, L. P. Angelova, and E. P. Pavlova, IEEE J. Sel. Top. Quant. Electron. 20, 211 (2014). https://doi.org/10.1109/JSTQE.2013.2280503

    Article  ADS  Google Scholar 

  39. K. I. Zaytsev, K. G. Kudrin, V. E. Karasik, I. V. Reshetov, and S. O. Yurchenko, Appl. Phys. Lett. 106, 053702 (2015). https://doi.org/10.1063/1.4907350

    Article  ADS  Google Scholar 

  40. K. I. Zaitsev, N. V. Chernomyrdin, K. G. Kudrin, I. V. Reshetov, and S. O. Yurchenko, Opt. Spectrosc. 119, 404 (2015). https://doi.org/10.7868/S0030403415090305

    Article  ADS  Google Scholar 

  41. H. Ganster, P. Pinz, R. Rohrer, E. Wildling, M. Binder, and H. Kittler, IEEE Trans. Med. Imaging 20, 233 (2001). https://doi.org/10.1109/42.918473

    Article  Google Scholar 

  42. A. Masood and A. A. Al-Jumaily, Int. J. Biomed. Imaging 2013, 1 (2013). https://doi.org/10.1155/2013/323268

    Article  Google Scholar 

  43. Isasi A. Gola, B. Zapirain Garcia, and A. Mendez Zorrilla, Comput. Biol. Med. 41, 742 (2011). https://doi.org/10.1016/j.compbiomed.2011.06.010

    Article  Google Scholar 

  44. B. P. Akhmedov and Z. M. Khasanova, Sovrem. Onkol. 4, 50 (2002).

    Google Scholar 

  45. S. Patel, M. Eluri, L. N. Boyers, C. Karimkhani, and R. Dellavalle, Dermatol. J. 21 (Nov. 9, 2014).

  46. K. G. Kudrin, Onkokhirurgiya 6 (1), 71 (2014).

    Google Scholar 

  47. K. Wolff, L. Goldsmith, S. Katz, B. Gilchrest, A. S. Paller, and D. Leffell, Fitzpatrick’s Dermatology in General Medicine, 7th ed. (McGraw-Hill, New York, 2008).

    Google Scholar 

  48. V. I. Chissov, V. V. Starinskii, L. M. Aleksandrova, et al., Early Detection and Prevention of Skin Melanoma (MNIOI im. P.A. Gertsena Minzdrava Rossii, Moscow, 2013) [in Russian].

  49. I. Deshin, E. Rimskaya, I. Apollonova, K. Kudrin, Z. Nursultanova, and A. Nikolaev, AIP Conf. Proc. 2140, 020017 (2019). https://doi.org/10.1063/1.5121942

    Article  Google Scholar 

  50. E. N. Rimskaya, A. O. Schadko, I. A. Apollonova, A. P. Nikolaev, A. N. Briko, I. A. Deshin, P. U. Bereshnoy, K. G. Kudrin, K. I. Zaytsev, V. V. Tuchin, and I. V. Reshetov, Opt. Spectrosc. 126, 503 (2019). https://doi.org/10.1134/S0030400X19050230

    Article  Google Scholar 

  51. K. G. Kudrin, O. V. Matorin, and I. V. Reshetov, Golova Sheya, No. 1, 9 (2014).

    Google Scholar 

  52. R. C. Gonzalez and R. E. Woods, Digital Image Processing Using MATLAB (Pearson, Prentice Hall, 2003).

    Google Scholar 

  53. R. C. Gonzalez and R. E. Woods, Digital Image Processing (Pearson, Prentice Hall, 2004).

    Google Scholar 

  54. S. V. Agapov, Photogrammetry of Scanner Images (Kartgeotsentr-Geodezizdat, Moscow, 1996) [in Russian].

    Google Scholar 

  55. S. Bazeille, I. Quidu, L. Jaulin, and J. P. Malkasse, CMM France, 16 (2006).

  56. D. S. Rigel, J. Russak, and R. Friedman, Cancer J. Clin. 60, 301 (2010). https://doi.org/10.3322/caac.20074

    Article  Google Scholar 

  57. A. M. Glazer, A. S. Farberg, R. R. Winkelmann, N. Tucker, and D. S. Rigel, Dermatol. Online J. 23, 13030/qt9xx2907s (2017).

  58. M. Kutner, C. Nachtsheim, J. Neter, and W. Li, Applied Linear Statistical Models (McGraw-Hill/Irwin, Homewood, IL, 2004).

    Google Scholar 

  59. M. P. Cetingul and C. Herman, Phys. Med. Biol. 7, 5933 (2010). https://doi.org/10.1088/0031-9155/55/19/020

    Article  Google Scholar 

  60. M. Arumi-Uria, N. S. McNutt, and B. Finnerty, Mod. Pathol. 16, 764 (2003).

    Article  Google Scholar 

  61. R. L. Barnhill, J. A. Fine, G. C. Roush, and M. Berwick, Cancer 78, 427 (1996).

    Article  Google Scholar 

  62. K. G. Kudrin, O. V. Matorin, and I. V. Reshetov, Onkokhirurgiya 5 (1), 8 (2013).

    Google Scholar 

  63. Yu. Yu. Sergeev and V. V. Mordovtseva, Kremlev. Med. Klin. Vestn., No. 1, 84 (2018).

  64. D. Moreno-Ramirez, T. Ojeda-Vila, J. J. Rios-Martin, A. Nieto-Garcia, and L. Ferrandiz, Melanoma Res. 25, 450 (2015). https://doi.org/10.1097/CMR.0000000000000184

    Article  Google Scholar 

  65. B. N. Akay, A. Okcu Heper, S. Clark, C. Erdem, C. O. Rosendahl, and H. Kittler, Int. J. Dermatol., No. 56, 1498 (2017). https://doi.org/10.1111/ijd.13728

  66. S. Seidenari, C. Ferrari, S. Borsari, A. Fabiano, S. Bassoli, F. Giusti, G. Ponti, and C. Magnoni, Br. J. Dermatol. 171, 1006 (2014). https://doi.org/10.1111/bjd.12542

    Article  Google Scholar 

  67. W. C. Black and W. C. Hunt, Am. J. Surg. Pathol., No. 14, 44 (1990).

  68. N. V. Chernomyrdin, A. S. Kucheryavenko, G. S. Kolontaeva, G. M. Katyba, P. A. Karalkin, V. A. Parfenov, A. A. Gryadunova, N. E. Norkin, O. A. Smolyanskaya, O. V. Minin, I. V. Minin, V. E. Karasik, and K. I. Zaytsev, Proc. SPIE 10677, 106771Y (2018). https://doi.org/10.1117/12.2306132

    Article  Google Scholar 

  69. Nguyen H. H. Pham, S. Hisatake, O. V. Minin, T. Nagatsuma, and I. V. Minin, APL Photon. 2, 056106 (2017). https://doi.org/10.1063/1.4983114

    Article  ADS  Google Scholar 

Download references

Funding

The development and testing of the experimental model screening system for pigmented neoplasms was supported by the Russian Foundation for Basic Research (project no. 18-38-00958). The development of metrological support and the thermographic studies of pigmented skin neoplasms were supported by the Russian Foundation for Basic Research (project no. 18-29-02099). The work performed at Sechenov First Moscow State Medical University was additionally supported by the Project 5-100, which is aimed at improving the competitiveness of Russian universities.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to K. G. Kudrin or I. V. Reshetov.

Ethics declarations

Statement of Сompliance with Standards of Research Involving Humans as Subjects

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants involved in the study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Translated by T. Tkacheva

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kudrin, K.G., Rimskaya, E.N., Apollonova, I.A. et al. Early Diagnosis of Skin Melanoma Using Several Imaging Systems. Opt. Spectrosc. 128, 824–834 (2020). https://doi.org/10.1134/S0030400X20060132

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0030400X20060132

Keywords:

Navigation