Caracterización de neoplasias mamarias mediante espectroscopia de impedancia eléctrica: modelo canino

Abstract

Introduction: Electrical Impedance Spectroscopy (EIS) it is an easy to use and low-cost technique that can be used to analyze biological tissues in normal or pathological condition. The goal of this work was to characterize benign and malign mammary gland neoplasms applying the EIS technique in 45 female dogs (Canis lupus familiaris). Methods: An impedance meter Hioki 3532-50 was used to determine bioelectric parameters, extracellular matrix resistance (R), intracellular matrix resistance (S), characteristic frequency (Cf), and membrane capacitance (Mc), which were obtained in a 42 Hz and 5 MHz frequencies range. Were statistically analyzed with the non-parametric test of two-tailed MannWhitney (Wilcoxon). The diagnostic precision of the test was performed using receiver operating characteristics (ROC) and two-way tables using histopathology results as reference. Results: Significant differences between healthy mammary tissue and benign neoplasms were found for variables R, Cf and Mc (p < 0.05). There were statistically major differences between the healthy mammary tissue and malign mammary tumors groups for R and Cf (p < 0.05). The comparison between malign and benign tumor lesions did not show a statistically significant difference, p-value > 0.05, for any of the variables included in this study. Conclusion: Among all parameters analyzed for EIS, the extracellular matrix resistance R is the one that best allows differentiating between healthy and neoplastic mammary tissues. EIS is a diagnostic tool that can be used for breast cancer detection with a diagnostic precision close to 80%.

Keywords:

neoplasia glándula mamaria

espectroscopia de impedancia eléctrica

resistencia matriz extracelular

neoplastic mammary gland

electrical impedance spectroscopy

extracellular matrix resistance

References

1. Kumaraguruparan R, Prathiba D, Nagini S. Of humans and canines: Immunohistochemical analysis of PCNA, Bcl-2, p53, cytokeratin and ER in mammary tumors. Research in Veterinary Science 2006; 81(2):218-224.

2. Granados S, Quiles J, Gil A, Ramírez M. Lípidos de la dieta y cáncer. Nutrición Hospitalaria 2006; 21(2):44-54.

3. Vázquez T, Barrios E, Cataldi S, Vázquez A, Alonso R, Estellano F, et al. Análisis de sobrevida de una población con cáncer de mama y su relación con factores pronósticos: estudio de 1.311 pacientes seguidas durante 230 meses. Revista Médica del Uruguay 2005; 21(2):107-121.

4. Meuten DJ. Tumors in domestic animals. 4 ed. Ames, Iowa, USA: Iowa State Press; 2002.

5. Hermo G, Ripoll G, Lorenzano P, Farina H, Gabri M, Turik E, et al. Tumores de mama en la perra. Ciencia Veterinaria 2005; 7(1):1515-1883.

6. De Nardi A, Rodasky S, Sousa R, Costa T, Macedo T, Rodigheri S, et al. Prevalência de neoplasias e modalidades de tratamentos em cães, atendidos no Hospital Veterinário da Universidade Federal do Paraná. Archives of Veterinary Science 2002; 7(2):15-26.

7. Sorenmo K. Canine mammary gland tumors. The veterinary clinics small animal practice 2003; 33(3):573-596.

8. Nambiar PR, Boutin SR, Raja R, Rosenberg DW. Global gene profiling: a complement to conventional histopathological analysis of neoplasia. Veterinary Pathology 2005; 42(6):735-752.

9. Grimnes S, Martinsen O. Bioimpedance and Bioelectricity Basics. 2 ed. Great Britain: Elsevier; 2008.

10. Zou Y, Guo Z. A review of electrical impedance techniques for breast cancer detection. Medical engineering & physics 2003; 25(2):79-90.

11. Andrade F, Figueiroa F, Bersano P, Bissacot D, Rocha N. Malignant mammary tumor in female dogs: environmental contaminants. Diagnostic Pathology 2010; 5(45):1-5.

12. Okazaki K, Tangoku A, Morimoto T, Kotani R, Yasuno E, Akutagawa M, Kinouchi Y. Basic study of a diagnostic modality employing a new impedance electrical tomography (EIT) method for noninvasive measurement in localized tissues. The journal of medical investigation 2010; 57(3-4):205-218.

13. Malich A, Böhm T, Facius M, Kleinteich I, Fleck M, Sauner D, Anderson R, Kaiser W. Electrical impedance scanning as a new imaging modality in breast cancer detection a short review of clinical value on breast application, limitations and perspectives. Nuclear instruments and methods in physics research 2003; 497(1):75-8.

14. Brown B, Tidy J, Boston K, Blackett A, Smallwood R, Sharp F. Relation between tissue structure and imposed electrical current flow in cervical neoplasia. The Lancet 2000; 355(9207):892-895.

15. Misdorp W, Else R, Hellmén E, Lipscomb T. Histological classification of mammary tumors of the dog and the cat. 2nd series. Washington (DC): Armed Forces Institute of Pathology and World Health Organization; 1999. p. 11-25.

16. Caicedo M, Rojas J, Betancourt S, Aristizábal W, Chavarro J. Algoritmos genéticos difusos para el ajuste del modelo de cole-cole. 4to Congreso Colombiano de Computación; 2009.

17. Olarte-Echeverri G, Aristizábal-Botero W, Gallego-Sánchez PA, Rojas-Díaz J, Botero BE, Osorio GF. Detección precoz de lesiones intraepiteliales del cuello uterino en mujeres de Caldas-Colombia mediante la técnica de espectroscopia de impedancia eléctrica. Revista colombiana de obstetricia y ginecología 2007; 58(1).

18. Dawson B, Trapp R. Bioestadística médica. 4 ed. México: Manual moderno; 2005.

19. Bourne JR (ed). Bioelectrical impedance techniques in medicine. Critical Reviews in Biomedical Engineering 1996; 24(4-6).

20. Wang K, Dong X, Fu F, et al. A primary research of the relationship between breast tissues impedance spectroscopy and electrical impedance scanning. Bioinformatics and Biomedical Engineering. Or in: The 2nd International Conference on Bioinformatics and Biomedical Engineering. Shanghai. China. 2008. p. 1575-1579.

21. Han K, Han A, Frazier A. Microsystems for isolation and electrophysiological analysis of breast cancer cells from blood. Biosensors and bioelectronics 2006; 21(10):1907-1914.

22. Han A, Yang L, Frazier A. Quantification of the heterogeneity in breast cancer cell lines using wholecell impedance spectroscopy. Clinical cancer research 2007; 13(1):139-143.

23. Kerner T, Paulsen K, Hartov A, Shojo S, Poplack S. Electrical impedance spectroscopy of the breast: clinical imaging results in 26 subjects. Transactions on medical imaging 2002; 21(6):638-645.

24. Jossinet J, Lobel A, Michoudet C, Schimitt M. Quantitative technique for bioelectrical spectroscopy. Journal of Biomedical Engineering 1985; 7(4):289-294.

25. Jossinet J. Variability of impedivity in normal and pathological breast tissue. Medical and biological engineering and computing 1996; 34(5):346-350.

26. Jossinet J. The impedivity of freshly excised human breast tissue. Physiological measurement 1998; 19(1):61- 75.

27. Jossinet J, Schimitt M. A review of parameters for the bioelectrical characterization of breast tissue. Annals of the New York academy of sciences 1999; 843:30-41.

28. Andrews R, Mah R, Guerrero M, Papasin R, Reed C. The NASA smart probe Project for real-time multiple microsensor tissue recognition: update. International Congress Series 2003; 1256:547-554.

29. Fariñas W, Paz Z, Orta G. Estudio del factor de disipación dieléctrica como herramienta diagnóstica. Revista Biomédica 2002; 13(4):249-255.

30. Kim B, Isaacson D, Xia H, Kao T-J, Newell JC, Saulnier G. A method for analyzing electrical impedance spectroscopy data from breast cancer patients. Physiological Measurement 2007; 28(7):S237-S246.

31. Jossinet J, Lavandier B. The discrimination of excised cancerous breast tissue samples using impedance spectroscopy. Bioelectrochemistry and bioenergetics 1998; 45(2):161-167.

32. Chauveau N, Hamzaqui L, Rochaix P, Rigaud B, Voigt J, Morucci J. Ex vivo discrimination between normal and pathological tissues in human breast surgical biopsies using bioimpedance spectroscopy. Annals of the New York Academy of Sciences 1999; 873:42-50.

33. Da Silva JE, De Sá JP, Jossinet J. Classification of breast tissue by electrical impedance spectroscopy. Medical and Biological Engineering and Computing 2000; 38(1):26-30.