A Study on the Development of Liquid Cell Smear Device Used in the Early Detection of Cancer Cells

Abstract:

This study was conducted to develop a liquid cell smear device for the early detection of cancer cells. Liquid based cytology (LBC) diagnosis cancer using epithelial cells in the early diagnosis of cancer. LBC has advantages of repeated testing using cells collected once, and of producing a slide with the transparent background compared to the manually prepared slide. In this study, a liquid cell smear device that automatically prepares the slide for LBC was developed. For the efficient separation of alcohol, which is a main component of cell preserving solution used for the preservation of liquid cells, from cells, the cylinder and solenoid valve with high durability against alcohol were used. For the control of the moving distance of the suction cylinder and smear-mover, a stepping motor was used to implement the mode corresponding to the cells. The implemented mode was comprised of five modes (uterine cervical, sputum, urine, body fluids, and the thyroid cells) for LBC. In addition, the manual mode and the cleaning mode to filter impurities deposited in the hose, cylinder, and solenoid valve were implemented. The slide was prepared according to each mode, and the smear condition of the prepared slide was examined by a cytopathologist in order to determine the optimal smear condition. As a result, the optimal slide was prepared in the condition of 3 for uterine cervical cells, 8 for sputum cells, 10 for urine cells, 1 for body fluid, and 6 for thyroid cells.

• Periodical: Applied Mechanics and Materials (Volumes 522-524)
• Pages: 1129-1132
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.522-524.1129
• Online since: February 2014
• Authors: Han Yeong Oh, Seong Hyun Kim, Dong Wook Kim*
• Keywords: Cancer Diagnostic, Device, Epithelial Cells, Liquid-Based Cytology, Smear

References

[1] Cause of Death Statistics (2011): Statistics(2012).

[2] D. Saslow, D. Solomon, H.W. Lawson, M. Killackey, S.L. Kulasingam, et al: American Journal of Clinical Pathology, vol. 137(2012), no. 4 p.516–542.

[3] J.N. Kim: women and health (2007).

[4] W. Y. Kim, S. H. Lee, Y. S. Ko, S. D. Lim, W. S. Kim, et al: The Korean Journal of Pathology, vol. 45(2011), no. 2, pp.188-195.

[5] World Health Organization: Comprehensive Cervical Cancer Control, (2006).

[6] H. Grohs, O. Husain: IGAKU-SHOIN Medical Pub- lishers, Inc., (1994).

[7] D. Jhala, I. Eltoum: Cytojournal vol. 4(2007), p.16–22.

[8] C. Bergmeir, M.G. Silvente, J.M. Benitez: computer methods and programs in biomedicine, vol. 107(2012), no. 3, pp.497-512.

[9] P. Malm, B. N. Balakrishnan, V. K. Sujathan, R. Kumar, E. Bengtsson: computer methods and programs in biomedicine, (2013).

DOI: 10.1016/j.cmpb.2013.02.008

[10] A. Gençtav, S. Aksoy, S. Önder: Pattern Recognition, vol. 45(2012), no. 12, pp.4151-4168.

DOI: 10.1016/j.patcog.2012.05.006

[11] P. Y. Pai, C. C. Chang, Y. K. Chan: Expert systems with applications, vol. 39(2012), no. 9, pp.1441-1453.

[12] K. Li, Z. Lu, W. Liu, J. Yin: Pattern recognition, vol. 45(2012), no. 4, pp.1255-1264.

[13] J. Cuzick, C. Clavel, Ku. Petry, C. Meijer, H. Hoyer, S. Ratnam, A. Szarewski, P. Birembaut, S. Kulasingam, P. Sasieni, T. Iftner: Int J Cancer, vol. 119 (2006), no. 5, p.1095–1101.

DOI: 10.1002/ijc.21955