Synthesis and Characterisation of Magnetic Nanoparticles for Lung Cancer Detection and Therapy
DOI:
https://doi.org/10.61841/akemp361Keywords:
Nanotechnology, Magnetic Nanoparticle, Lung Cancer, A549 and Cell LineAbstract
The main cause for cancerous deaths in men is lung cancer. It has been reported that smoking cigarettes/beedis is the major reason for lung cancer deaths (90%) in the world. The lung cancer also develops in non-smokers (people who do not smoke), but the chance is ten times less than in people who smoke. Detecting lung cancer in its initial stages is quite difficult. Treating the lung cancer in its advanced stages involves surgical removal of the cancer-affected portion of the lung, chemotherapy, and radiation therapy. To detect the cancer in its early stage, nanotechnology is used. This paper focuses on the lung cancer detection by reaction of polymer-coated magnetic nanoparticles with the cell line samples. The experimental results show that the polymer-coated magnetic nanoparticle can detect and treat the lung cancer.
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References
[1] American Cancer Society, “Cancer Facts & Figures 2014,” American Cancer Society, Atlanta, 2014.
[2] Manikandan, T., and Bharathi, N., “Lung cancer detection using fuzzy auto-seed cluster means morphological segmentation and SVM classifier,” In Journal of Medical Systems, vol. 40(7), pp. 1-9, 2016.
[3] Manikandan, T., and Bharathi, N., “Hybrid neuro-fuzzy system for prediction of stages of lung cancer based on the observed symptom values,” In biomedical research (India), vol. 28(2), pp. 588-593, 2017.
[4] Wook-Jin. C and Tae-Sun. C, “Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images,” In information sciences, vol. 212, pp. 57–78, 2012.
[5] Manikandan, T., and Bharathi, N., “Lung cancer detection by automatic region growing with morphological masking and neural network classifie’r, In Asian Journal of Information Technology, vol. 15 (21), pp. 4189-4194, 2016.
[6] Manikandan, T., Devi, B., and Helanvidhya, T., “A computer-aided diagnosis system for lung cancer detection with automatic region growing, multistage feature selection, and neural network classifier,” in International Journal of Innovative Technology and Exploring Engineering, vol. 9 (1S), pp. 409-413, 2019.
[7] Wook-Jin. C and Tae-Sun. C, “Automated pulmonary nodule detection system in computed tomography
images: A hierarchical block classification approach,” In entropy, vol. 15, pp. pp.507–523, 2013.
[8] Manikandan, T, and Bharathi, N, “A novel semi-automated 3-D CAD visualization system as an aid for
surgical planning of lung cancer,” In ARPN Journal of Engineering and Applied Sciences, vol. 10(4), pp.
1872-1878, 2015.
[9] Sousa, J.R.F.D.S., Silva, A.C., Paiva, A.C.D., and Nunes, R.A., “Methodology for automatic detection of lung nodules in computerized tomography images,” in Computer Methods and Programs in Biomedicine, vol. 98, pp. 1–14, 2010.
[10] Ozekes, S., Osman, O., and Ucan, O.N., “Nodule detection in a lung region that’s segmented using genetic cellular neural networks and 3-D template matching with fuzzy rule-based thresholding,” In Korean Journal of Radiology, vol. 9, pp. 1–9, 2008.
[11] Manikandan, T., and Bharhathi, N., “Lung cancer diagnosis from CT images using fuzzy inference system, In Communications in Computer and Information Science, vol. 250 CCIS, pp. 642-647, 2011.
[12] Kouser, R., Manikandan, T., and Kumar, V., “Heart disease prediction system using artificial neural network, radial basis function, and case-based reasoning,” In Journal of Computational and Theoretical Nanoscience, vol. 15, pp. 2810-2817, 2018.
[13] Bharathi Raj. M, Ewins Pon Pushpa. S, and Vaithiyanathan. D, "Performance analysis of 7-nm node negative capacitance - MoS2 nanotube transistor based SRAM," In proceedings of International Workshop on Nano/Micro 2D-3D Fabrication, Manufacturing of Electronic-Biomedical Devices & Applications at Indian Institute of Technology (IIT), Mandi, India, Oct. 31-Nov. 02, 2018.
[14] Bharathi Raj. M, Ewins Pon Pushpa. S, and Vaithiyanathan. D, "Investigation of negative capacitanceMoS2-based nanotube transistor sandwiched with polyvinylidene fluoride as ferroelectric gating material," in Proceedings of International Workshop on Nano/Micro 2D-3D Fabrication, Manufacturing of Electronic-Biomedical Devices & Applications at Indian Institute of Technology (IIT), Mandi, India, Oct. 31-Nov. 02, 2018.
[15] Mosmann, T., “Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays,” In Journal of Immunological Methods, vol. 65, pp. 55-63, 1983.
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