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Advances in Computer-Based Autoantibodies Analysis

  • Conference paper
Biomedical Engineering Systems and Technologies (BIOSTEC 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 52))

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Abstract

Indirect Immunofluorescence (IIF) imaging is the recommended me-thod to detect autoantibodies in patient serum, whose common markers are antinuclear autoantibodies (ANA) and autoantibodies directed against double strand DNA (anti-dsDNA). Since the availability of accurately performed and correctly reported laboratory determinations is crucial for the clinicians, an evident medical demand is the development of Computer Aided Diagnosis (CAD) tools supporting physicians’ decisions.

In this paper we present a comprehensive system that helps in recognising the presence of ANA and anti-dsDNA autoantibodies. The analysis of CAD performance shows its potential in lowering the method variability, in increasing the level of standardization and in serving as a second reader reducing the physicians’ workload. The system has been successfully tested on annotated datasets.

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References

  1. Kavanaugh, A., Tomar, R., Reveille, J., Solomon, D.H., Homburger, H.A.: Guidelines for clinical use of the antinuclear antibody test and tests for specific autoantibodies to nuclear antigens. American College of Pathologists, Archives of Pathology and Laboratory Medicine 124, 71–81 (2000)

    Google Scholar 

  2. Rigon, A., Soda, P., Zennaro, D., Iannello, G., Afeltra, A.: Indirect immunofluorescence in autoimmune diseases: Assessment of digital images for diagnostic purpose. Cytometry B (Clinical Cytometry) 72, 472–477 (2007)

    Article  Google Scholar 

  3. Lee, P.P.W., Lee, T.L., Ho, M.H.K., Wong, W.H.S., Lau, Y.L.: Recurrent major infections in juvenile-onset systemic lupus erythematosus–a close link with long-term disease damage. Rheumatology 46, 1290–1296 (2007)

    Article  Google Scholar 

  4. Bizzaro, N., Tozzoli, R., Tonutti, E., Piazza, A., Manoni, F., Ghirardello, A., Bassetti, D., Villalta, D., Pradella, M., Rizzotti, P.: Variability between methods to determine ANA, anti-dsDNA and anti-ENA autoantibodies: a collaborative study with the biomedical industry. Journal of Immunological Methods 219, 99–107 (1998)

    Article  Google Scholar 

  5. Feltkamp, T.E.W., Klein, F., Janssens, M.: Standardisation of the quantitative determination of antinuclear antibodies (ANAs) with a homogeneous pattern. Annals of the Rheumatic Diseases 47, 906–909 (1988)

    Article  Google Scholar 

  6. Das: Service Manual AP16 IF Plus. Palombara Sabina, RI (2004)

    Google Scholar 

  7. Bio-Rad Laboratories Inc.: PhD System (2004), http://www.bio-rad.com

  8. Cheng, H.D., Cai, X., Chen, X., Hu, L., Lou, X.: Computer-aided detection and classification of microcalcifications in mammograms: a survey. Pattern Recognition 36, 2967–2991 (2003)

    Article  MATH  Google Scholar 

  9. Van Ginneken, B., Ter Haar Romeny, B.M., Viergever, M.A.: Computer-aided diagnosis in chest radiography: a survey. IEEE Transactions on Medical Imaging 20, 1228–1241 (2001)

    Article  Google Scholar 

  10. Soda, P., Iannello, G.: Experiences in ANN-based classification of immunofluorescence images. International Journal of Applied Science, Engineering and Technology 2, 102–107 (2006)

    Google Scholar 

  11. Soda, P., Iannello, G., Vento, M.: A multiple experts system for classifying fluorescence intensity in antinuclear autoantibodies analysis. Pattern Analysis & Applications 12(3), 215–226 (2009)

    Article  Google Scholar 

  12. Sack, U., Knoechner, S., Warschkau, H., Pigla, U., Emmerich, F., Kamprad, M.: Computer-assisted classification of HEp-2 immunofluorescence patterns in autoimmune diagnostics. Autoimmunity Reviews 2, 298–304 (2003)

    Article  Google Scholar 

  13. Perner, P., Perner, H., Muller, B.: Mining knowledge for HEp-2 cell image classification. Journal Artificial Intelligence in Medicine 26, 161–173 (2002)

    Article  Google Scholar 

  14. Hiemann, R., Hilger, N., Michel, J., Nitscke, J., Bohm, A., Anderer, U., Weigert, M., Sack, U.: Automatic analysis of immunofluorescence patterns of HEp-2 cells. Annals of the New York Academy of Sciences 1109, 358–371 (2007)

    Article  Google Scholar 

  15. Soda, P., Iannello, G.: Aggregation of classifiers for staining pattern recognition in antinuclear autoantibodies analysis. IEEE Transactions on Information Technology in Biomedicine 13, 322–329 (2009)

    Article  Google Scholar 

  16. Center for Disease Control: Quality assurance for the indirect immunofluorescence test for autoantibodies to nuclear antigen (IF-ANA): approved guideline. NCCLS I/LA2-A 16 (1996)

    Google Scholar 

  17. Solomon, D.H., Kavanaugh, A.J., Schur, P.H.: Evidence-based guidelines for the use of immunologic tests: Antinuclear antibody testing. Arthritis Care & Research 47, 434–444 (2002)

    Article  Google Scholar 

  18. Tozzoli, R., Bizzaro, N., Tonutti, E., Villalta, D., Bassetti, D., Manoni, F., Piazza, A., Pradella, M., Rizzotti, P.: Guidelines for the laboratory use of autoantibody tests in the diagnosis and monitoring of autoimmune rheumatic diseases. American Journal of Clinical Pathology 117, 316–324 (2002)

    Article  Google Scholar 

  19. Dietterich, T.G., Bakiri, G.: Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research 2, 263–286 (1995)

    MATH  Google Scholar 

  20. Mayoraz, E., Moreira, M.: On the decomposition of polychotomies into dichotomies. In: ICML 1997: Proceedings of the Fourteenth International Conference on Machine Learning, pp. 219–226 (1997)

    Google Scholar 

  21. Jelonek, J., Stefanowski, J.: Experiments on solving multiclass learning problems by n 2 classifier. In: Nédellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 172–177. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  22. Soda, P.: Facing polychotomies through classification by decomposition: Applications in the bio-medical domain. Biomedical Engineering Systems and Technologies, Communications in Computer and Information Science, 291–304 (2009)

    Google Scholar 

  23. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics 9, 62–66 (1970)

    Google Scholar 

  24. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary pattern. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 971–987 (2002)

    Article  Google Scholar 

  25. Soda, P., Onofri, L., Rigon, A., Iannello, G.: Analysis and Classification of Crithidia Luciliae fluorescent images. In: Foggia, P., Sansone, C., Vento, M. (eds.) ICIAP 2009. LNCS, vol. 5716, pp. 558–566. Springer, Heidelberg (2009)

    Google Scholar 

  26. Vapnik, V.N.: The nature of statistical learning theory. Springer, NY (1995)

    MATH  Google Scholar 

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Authors and Affiliations

  1. Integrated Research Centre, University Campus Bio-Medico of Rome, Italy

    Paolo Soda & Giulio Iannello

Authors
  1. Paolo Soda
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  2. Giulio Iannello
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Editor information

Editors and Affiliations

  1. Instituto de Telecomunicaçöes, IST - Instituto Superior Técnico, Av. Rovisco Pais, 1, 1049-001, Portugal, Lisbon

    Ana Fred

  2. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  3. Institute of Telecommunications, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal

    Hugo Gamboa

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Soda, P., Iannello, G. (2010). Advances in Computer-Based Autoantibodies Analysis. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2009. Communications in Computer and Information Science, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11721-3_26

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  • DOI: https://doi.org/10.1007/978-3-642-11721-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11720-6

  • Online ISBN: 978-3-642-11721-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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