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Terahertz time-domain spectroscopy combined with fuzzy rule-building expert system and fuzzy optimal associative memory applied to diagnosis of cervical carcinoma

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Abstract

Combined with terahertz time-domain spectroscopy, the feasibility of fast and reliable diagnosis of cervical carcinoma by a fuzzy rule-building expert system (FuRES) and a fuzzy optimal associative memory (FOAM) had been studied. The terahertz spectra of 52 specimens of cervix were collected in the work. The original data of samples were preprocessed by Savitzky–Golay first derivative (χderivative), principal component orthogonal signal correction (PC-OSC) and emphatic orthogonal signal correction to improve the performance of FuRES and FOAM models. The effect of the different pretreating methods to improve prediction accuracy was evaluated. The FuRES and FOAM models were validated using bootstrapped Latin-partition method. The obtained results showed that the FuRES and FOAM model optimized with the combination S–G first derivative and PC-OSC method had the better predictive ability with classification rates of 92.9 ± 0.4 and 92.5 ± 0.4 %, respectively. The proposed procedure proved that terahertz spectroscopy combined with fuzzy classifiers could supply a technology which has potential for diagnosis of cancerous tissue.

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References

  1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61(2):69–90.

    Article  PubMed  Google Scholar 

  2. Janicek MF, Averette HE. Cervical cancer: prevention, diagnosis, and therapeutics. CA Cancer J Clin. 2001;51(2):92–114.

    Article  CAS  PubMed  Google Scholar 

  3. Yu B, Zeng F, Yang Y, Xing Q, Chechin A, Xin X, et al. Torsional vibrational modes of tryptophan studied by terahertz time-domain spectroscopy. Biophys J. 2004;86(3):1649–54.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  4. Walther M, Plochocka P, Fischer B, Helm H, Jepsen PU. Collective vibrational modes in biological molecules investigated by terahertz time-domain spectroscopy. Biopolymers. 2002;67(4–5):310–3.

    Article  CAS  PubMed  Google Scholar 

  5. Fitzgerald AJ, Berry E, Zinovev NN, Walker GC, Smith MA, Chamberlain JM. An introduction to medical imaging with coherent terahertz frequency radiation. Phys Med Biol. 2002;47(7):R67–84.

    Article  CAS  PubMed  Google Scholar 

  6. Woodward RM, Cole BE, Wallace VP, Pye RJ, Arnone DD, Linfield EH, et al. Terahertz pulse imaging in reflection geometry of human skin cancer and skin tissue. Phys Med Biol. 2002;47(21):3853–63.

    Article  PubMed  Google Scholar 

  7. Knobloch P, Schildknecht C, Kleine-Ostmann T, Koch M, Hoffmann S, Hofmann M, et al. Medical THz imaging: an investigation of histo-pathological samples. Phys Med Biol. 2002;47(21):3875–84.

    Article  CAS  PubMed  Google Scholar 

  8. Qi N, Zhang Z, Xiang Y. Application of terahertz technology in medical testing and diagnosis. Spectrosc Spectr Anal. 2013;33(8):2064–70.

    CAS  Google Scholar 

  9. Jung E, Lim M, Moon K, Do Y, Lee S, Han H, et al. Terahertz pulse imaging of micro-metastatic lymph nodes in early-stage cervical cancer patients. J Opt Soc Korea. 2011;15(2):155–60.

    Article  Google Scholar 

  10. Brun MA, Formanek F, Yasuda A, Sekine M, Ando N, Eishii Y. Terahertz imaging applied to cancer diagnosis. Phys Med Biol. 2010;55(16):4615–23.

    Article  PubMed  Google Scholar 

  11. Ferguson B, Abbott D. De-noising techniques for terahertz responses of biological samples. Microelectr J. 2001;32(12):943–53.

    Article  Google Scholar 

  12. Eadie LH, Reid CB, Fitzgerald AJ, Wallace VP. Optimizing multi-dimensional terahertz imaging analysis for colon cancer diagnosis. Expert Syst Appl. 2013;40(6):2043–50.

    Article  Google Scholar 

  13. Harrington PB. Fuzzy multivariate rule-building expert systems: minimal neural networks. J Chemom. 1991;5(5):467–86.

    Article  Google Scholar 

  14. Wabuyele BW, Harrington PB. Fuzzy optimal associative memory for background prediction of near-infrared spectra. Appl Spectrosc. 1996;50(1):35–42.

    Article  CAS  Google Scholar 

  15. Zhang J, Zhang Z, Xiang Y, Dai Y, Harrington PB. An emphatic orthogonal signal correction-support vector machine method for the classification of tissue sections of endometrial carcinoma by near infrared spectroscopy. Talanta. 2011;83(5):1401–9.

    Article  CAS  PubMed  Google Scholar 

  16. Harrington PB, Kister J, Artaud J, Dupuy N. Automated principal component-based orthogonal signal correction applied to fused near infrared-mid-infrared spectra of French olive oils. Anal Chem. 2009;81(17):7160–9.

    Article  CAS  Google Scholar 

  17. Duvillaret L, Garet F, Coutaz J-L. A reliable method for extraction of material parameters in terahertz time-domain spectroscopy. IEEE J Sel Top Quantum Electron. 1996;2(3):739–46.

    Article  CAS  Google Scholar 

  18. Duvillaret L, Garet F, Coutaz J-L. Highly precise determination of optical constants and sample thickness in terahertz time-domain spectroscopy. Appl Opt. 1999;38(2):409–15.

    Article  CAS  PubMed  Google Scholar 

  19. Dorney TD, Baraniuk RG, Mittleman DM. Material parameter estimation with terahertz time-domain spectroscopy. J Opt Soc Am A. 2001;18(7):1562–71.

    Article  CAS  Google Scholar 

  20. Wold S, Antti H, Lindgren F, Öhman J. Orthogonal signal correction of near-infrared spectra. Chemom Intell Lab Syst. 1998;44(1–2):175–85.

    Article  CAS  Google Scholar 

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Acknowledgments

This work was supported by the National Instrumentation Program (2012YQ140005) and the Natural Science Foundation of China (21275101).

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We declare that we have obeyed the laws and ethics and have no conflict relationships with other people or organizations that can inappropriately influence our work. The paper does not contain any secret information and can be published in journal.

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Correspondence to Zhuoyong Zhang.

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Qi, N., Zhang, Z., Xiang, Y. et al. Terahertz time-domain spectroscopy combined with fuzzy rule-building expert system and fuzzy optimal associative memory applied to diagnosis of cervical carcinoma. Med Oncol 32, 383 (2015). https://doi.org/10.1007/s12032-014-0383-z

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  • DOI: https://doi.org/10.1007/s12032-014-0383-z

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