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Prediction of the cumulated dose for external beam irradiation of prostate cancer patients with 3D-CRT technique

., Morton, G., Loblaw, D. A., Tirona, R., Pang, G., Choo, R., Szumacher, E., Deboer, G., & Pignol, J. P. (2005). Individualized planning target volumes for intrafraction motion during hypofractionated intensity-modulated radiotherapy boost for prostate cancer. Int. J. Radiat. Oncol. Biol. Phys ., 62 (2), 418–425. DOI: 10.1016/j.ijrobp.2004.09.051. 6. Adamczyk, M., Piotrowski, T., Adamiak, E., & Malicki, J. (2014). Dosimetric consequences of prostate-based couch shifts on the precision of dose delivery during simultaneous IMRT irradiation of the prostate, seminal

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Measurements of doses from photon beam irradiation and scattered neutrons in an anthropomorphic phantom model of prostate cancer: a comparison between 3DCRT, IMRT and tomotherapy

and neck radiotherapy using IMRT and 3D-CRT. Radiol. Oncol ., 46 (4), 328–336. 10. Van den Heuvel, F., Defraene, G., Crijns, W., & Bogaerts, R. (2012). Out-of-field contributions for IMRT and volumetric modulated arc therapy measured using gafchromic films and compared to calculations using a superposition/convolution based treatment planning system. Radiother. Oncol ., 105 (1), 127–132. 11. Skórska, M., & Piotrowski, T. (2013). Optimization of treatment planning parameters used in tomotherapy for prostate cancer patients. Phys. Med ., 29 (3), 273

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Impact of g-Load Shift on Temporal Expression Pattern of Apoptosis-linked Proteins in the Rat Mammary Gland

strongyloidiasis: The imbalance between cell death and proliferation. Digestive Diseases and Sciences 51, 1063-1069. 10.1007/s10620-006-8010-2 16865572 Werneck-Silva AL Alvares EP Gama P Damiao AO Osaki LH Ogias D Sipahi AM 2006 Intestinal damage in strongyloidiasis: The imbalance between cell death and proliferation Digestive Diseases and Sciences 51 1063 1069 Winter RN, Kramer A, Borkowski A, Kyprianou N (2001) Loss of caspase-1 and caspase-3 protein expression in human prostate cancer. Cancer Res 61, 1227-1232. 11221855 Winter

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Improvement of the Fast Clustering Algorithm Improved by K-Means in the Big Data

) and contained measurements from biopsies of 30 DLBCL patients. Each sample was stained with three antibodies,: CD3, CD5, and CD19. The LunG data [ 44 ] consists of d = 1,000 dimensions with n = 197 lung cancer patients from k = 4 different factors. The Prostate data [ 45 ] consists of d = 12,600 dimensions with n = 102 prostate cancer patients from k = 2 different factors. The original data set from contained 97 men who haved prostate cancer and recorded the information of the patients. Table 3 The date information in the algorithm test

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Investigation of magnetite Fe3O4 nanoparticles for magnetic hyperthermia

.1007/s10934-016-0156-5. 6. Johannsen, M., Gneveckow, U., Eckelt, L., Feussner, A., Waldöfner, N., Scholz, R., Deger, S., Wust, P., Loening, S. A., & Jordan, A. (2005). Clinical hyperthermia of prostate cancer using magnetic nanoparticles: Presentation of a new interstitial technique. Int. J. Hyperthermia, 21, 637-647. DOI: 10.1080/02656730500158360. 7. Carrey, J., Mehdaoui, B., & Respaud, M. (2011). Simple models for dynamic hysteresis loop calculations of magnetic single-domain nanoparticles: Application to magnetic hyperthermia

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Ambient dose equivalent measurements in secondary radiation fields at proton therapy facility CCB IFJ PAN in Krakow using recombination chambers

., Sasaki, R., Sugimura, K., & Hishikawa, Y. (2007). Acute morbidity of proton therapy for prostate cancer: the Hyogo Ion Beam Medical Center experience. Int. J. Radiat. Oncol. Biol. Phys ., 69 (2), 434–443. DOI: 10.1016/j.ijrobp.2007.03.009. 7. Steneker, M., Lomax, A., & Schneider, U. (2006). Intensity modulated photon and proton therapy for the treatment of head and neck tumors. Radiother. Oncol ., 80 (2), 263–267. DOI: 10.1016/j.radonc.2006.07.025. 8. Lee, C. T., Bilton, S. D., Famiglietti, R. M., Riley, B. A., Mahajan, A., Chang, E. L., Maor, M. H

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Trace elements in scalp hair of leukaemia patients

. (2004). Trace elements and cancer. Japan Medical Association Journal (JMAJ), 47, 391-395. 4. Karimi, G,. Shahar, S., Homayouni, N., Rajikan, R., Abu Bakar, N. F., & Othman, M. S. (2012). Association between trace element and heavy metal levels in hair and nail with prostate cancer. Asian Pac. J. Cancer Prev., 13, 4249-4253. 5. Kolmogorov, Y., Kovaleva, V., & Gonchar, A. (2000). Analysis of trace elements in scalp hair of healthy people, hyperplasia and breast cancer patients with XRF method. Nucl. Instrum. Methods Phys. Res. Sect. A

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On the role of LET-dependent parameters in the determination of the absorbed dose by in-phantom recombination chambers

.11.004. 18. Konefal, A., Orlef, A., & Bieniasiewicz, M. (2016). Measurements of neutron radiation and induced radioactivity for the new medical linear accelerator, the Varian TrueBeam. Radiat. Meas., 86, 8-15. DOI: 10.1016/j.radmeas.2015.12.039. 19. Kowalik, A., Jackowiak, W., Malicki, J., Skórska, M., Adamczyk, M., Konstanty, E., Piotrowski, T., & Polaczek-Grelik, K. (2017). Measurements of doses from photon beam irradiation and scattered neutrons in an anthropomorphic phantom model of prostate cancer: a comparison between 3DCRT, IMRT and tomotherapy

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Applied mathematics and nonlinear sciences in the war on cancer

.g. [ 55 , 56 ] for brain tumors). From the mathematical point of view it is necessary to define meaningful and robust measures of volumes, geometries, textures, etc., to be computed on images providing biomarkers of clinical relevance. Also, images are to be used as initial data for predictive mathematical algorithms able to simulate tumor evolution and provide therapy personalization. Another source of information are blood tests, which allow clinically relevant biomarkers (such as e.g. PSA levels in prostate cancer) to be directly measured. In recent years the

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