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Paraconsistent analysis network applied in the treatment of Raman spectroscopy data to support medical diagnosis of skin cancer

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Abstract

Paraconsistent logic (PL) is a type of non-classical logic that accepts contradiction as a fundamental concept and has produced valuable results in the analysis of uncertainties. In this work, algorithms based on a type of PL—paraconsistent annotated logic of two values (PAL2v)—are interconnected into a network of paraconsistent analysis (PANnet). PANnet was applied to a dataset comprising 146 Raman spectra of skin tissue biopsy fragments of which 30 spectra were determined to represent normal skin tissue (N), 96 were determined to represent tissue with basal cell carcinoma, and 19 were determined to be tissue with melanoma (MEL). In this database, paraconsistent analysis was able to correctly discriminate 136 out of a total of 145 fragments, obtaining a 93.793 % correct diagnostic accuracy. The application of PAL2v in the analysis of Raman spectroscopy signals produces better discrimination of cells than conventional statistical processes and presents a good graphical overview through its associated lattice structure. The technique of PAL2v-based data processing can be fundamental in the development of a computational tool dedicated to support the diagnosis of skin cancer using Raman spectroscopy.

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References

  1. Abe JM, Ortega NRS, Mario MC, Del Santo Jr M (2005) Paraconsistent artificial neural network: an application in cephalometric analysis. knowledge-based intelligent information and engineering systems. Lect Notes Comput Sci 3682:716–723

    Article  Google Scholar 

  2. American Cancer Society (2012) Cancer facts & figures 2012. American Cancer Society, Atlanta

    Google Scholar 

  3. Bodanese B, Silveira L Jr, Albertini R, Zaˆngaro RA, Pacheco MTT (2010) Differentiating normal and basal cell carcinoma human skin tissues in vitro using dispersive Raman spectroscopy: a comparison between Principal Components Analysis and simplified biochemical models. Photomed. Laser Surg. 28:S119–S127

    Article  CAS  PubMed  Google Scholar 

  4. Da Costa NCA (1974) On the theory of inconsistent formal systems. Notre Dame J Form Log 15(4):497–510. doi:10.1305/ndjfl/1093891487

    Article  Google Scholar 

  5. Da Costa NCA, Marconi D (1989) An overview of paraconsistent logic in the 80’s. J Non-Class Log 6(1):5–31

    Google Scholar 

  6. Da Silva Filho J I (2011) Algorithms based on paraconsistent annotated logic for applications in expert systems. In: Segura JM, Reiter AC (eds) Expert system software: engineering, advantages and applications. Nova Science Publishers, Hauppauge. ISBN 978-1-61209-114-3

    Google Scholar 

  7. Da Silva Filho JI, Lambert-Torres G, Abe JM (2010) Uncertainty treatment using paraconsistent logic—introducing paraconsistent artificial neural networks. ISBN 978-1-60750-557-0 (print), p 320

  8. Da Silva Filho J I, Holms GATA, Hurtado GV, Garcia DV (2009) Analysis and diagnosis of cardiovascular diseases through the paraconsistent annotated logic. In: Nakamatsu K et al (eds) New advances in intelligent decision technologies. Springer, Berlin/Heidelberg, pp 295–303

    Google Scholar 

  9. Da Silva Filho J I et al (2011) Paraconsistent algorithm extractor of contradiction effects—Paraextrctr. J Softw Eng Appl 4(1):579–584

    Google Scholar 

  10. Ferraro JR, Nakamoto K (1994) Introductory Raman spectroscopy. Academic Press Inc, EUA

    Google Scholar 

  11. Gniadecka M, Philipsen PA, Sigurdsson S et al (2004) Melanoma diagnosis by Raman spectroscopy and neural networks: structure alterations in proteins and lipids in intact cancer tissue. J Invest Dermatol 122:443–449

    Article  CAS  PubMed  Google Scholar 

  12. Kendall C et al (2011) Exploiting the diagnostic potential of biomolecular fingerprinting with vibrational spectroscopy. Faraday Discuss 149:279–290

    Article  CAS  PubMed  Google Scholar 

  13. Lieber CA, Majumder SK, Ellis DL, Billheimer DD, Mahadevan-Jansen A (2008) In-vivo nonmelanoma skin cancer diagnosis using Raman microspectroscopy. Lasers Surg Med 40:461–467

    Article  PubMed  PubMed Central  Google Scholar 

  14. Lorincz A et al (2004) Raman spectroscopy for neoplasic tissue diferentiation: a pilot study. J Pediatr Surg 39(6):953–956

    Article  PubMed  Google Scholar 

  15. Magee ND, Beattie JR, Carland C et al (2010) Raman microscopy in the diagnosis and prognosis of surgically resected nonsmall cell lung cancer. J Biomed Opt 15:026015

    Article  PubMed  Google Scholar 

  16. Nakazawa K, Kalassy M, Sahuc F, Collombel C, Damour Dr O (1998) Pigmented human skin equivalent—as a model of the mechanisms of control of cell-cell and cell-matrix interactions. Med Biol Eng Compu 36(6):813–820

    Article  CAS  Google Scholar 

  17. Nyström J, Lindholm-Sethson B, Stenberg L, Ollmar S, Eriksson JW, Geladi P (2003) Combined near-infrared spectroscopy and multifrequency bio-impedance investigation of skin alterations in diabetes patients based on multivariate analyses. Med Biol Eng Comput 41(3):324–329

    Article  PubMed  Google Scholar 

  18. Oshiyama NF, Bassani RA, D’Ottaviano IML, Bassani JWM (2012) Medical equipment classification: method and decision-making support based on paraconsistent annotated logic. Med Biol Eng Comput 50(4):395–402

    Article  PubMed  Google Scholar 

  19. Silveira L Jr et al (2012) Discriminating model for diagnosis of basal cell carcinoma and melanoma in vitro based on the Raman spectra of selected biochemical. J Biomed Opt 17(7):077003

    Article  PubMed  Google Scholar 

  20. Stone N et al (2007) The use of Raman spectroscopy to provide an estimation of the gross biochemistry associated with urological pathologies. Anal Bioanal Chem 387(5):1657–1668

    Article  CAS  PubMed  Google Scholar 

  21. World Health Organization (WHO) (2009) Ultraviolet radiation: global solar UV index [Fact Sheet No. 271]. World Health Organization, Geneva

    Google Scholar 

Download references

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Authors and Affiliations

  1. Laboratory of Applied Paraconsistent Logic, Santa Cecília University—UNISANTA, Oswaldo Cruz Street, 288, Santos, SP, 11045-000, Brazil

    João Inácio Da Silva Filho, Célio Vander Nunes, Dorotéa Vilanova Garcia, Mauricio Conceição Mario, Fábio Giordano, Jair Minoro Abe, Marcos Tadeu Tavares Pacheco & Landulfo Silveira Jr.

  2. Biomedical Engineering Institute, Universidade Camilo Castelo Branco—UNICASTELO, Rod. Pres. Dutra, km 138, São José dos Campos, SP, 12247-004, Brazil

    Dorotéa Vilanova Garcia, Marcos Tadeu Tavares Pacheco & Landulfo Silveira Jr.

Authors
  1. João Inácio Da Silva Filho
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  2. Célio Vander Nunes
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  3. Dorotéa Vilanova Garcia
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  4. Mauricio Conceição Mario
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  5. Fábio Giordano
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  6. Jair Minoro Abe
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  7. Marcos Tadeu Tavares Pacheco
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  8. Landulfo Silveira Jr.
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Correspondence to João Inácio Da Silva Filho.

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Da Silva Filho, J.I., Vander Nunes, C., Garcia, D.V. et al. Paraconsistent analysis network applied in the treatment of Raman spectroscopy data to support medical diagnosis of skin cancer. Med Biol Eng Comput 54, 1453–1467 (2016). https://doi.org/10.1007/s11517-016-1471-3

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  • DOI: https://doi.org/10.1007/s11517-016-1471-3

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