Radiation interaction parameters for blood samples of breast cancer patients: an MCNP study

  • Ozan Toker
  • Mustafa Caglar
  • Ersoy Oz
  • Sezgin Bakirdere
  • Omer Topdagi
  • Onder Eyecioglu
  • Orhan IcelliEmail author
Original Article


The main goal of this study was to determine radiation interaction parameters such as mass attenuation coefficients, effective atomic numbers, and effective electron densities depending on element concentrations (Na, K, Cu, Zn, Al, Ca, Mg Cr, Fe, Se) in blood samples of patients with breast cancer. Eighty blood samples were collected and analyzed in this study (40 from breast cancer patients and 40 from healthy patients). The determination of element concentrations of the samples was performed with inductively coupled plasma-mass spectrometry (ICP-MS) and inductively coupled plasma-optical emission spectrometry (ICP-OES) after which the element concentrations were normalized to percentage. Mass attenuation coefficients were calculated by Monte Carlo simulation method. In addition, effective atomic numbers and effective electron density values of the blood samples were calculated with the ZXCOM program. One of the most important results of this study is that differences in radiation interaction parameters between the two groups were observed. More specifically, the mass attenuation coefficients of the healthy group’s blood samples were higher than those of the cancerous group at photon energies of 50 keV, 100 keV, 250 keV and 500 keV, while they were lower at 1 MeV. All the MCNP results were consistent with the results obtained from ZXCOM. As the main result of this study it is concluded that photon atomic parameters such as mass attenuation coefficient, effective atomic number and electron density may be considered in cancer diagnosis or treatment modalities.


Breast cancer Monte Carlo MCNP Mass attenuation coefficient Electron density 



The author thanks the TUBITAK (2210C) and BAP Yildiz Technical University (2015-01-01-YL04, 832) for financial support.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (Atatürk University Medical Faculty Ethics Committee, 10.24.2016, session 6, number: 22) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.


  1. Al Faris NA, Ahmad D (2011) Distribution of trace elements like calcium, copper, iron and zinc in serum samples of colon cancer—a case control study. J King Saud Univ-Sci 23:337–340CrossRefGoogle Scholar
  2. Antoniassi M, Conceição ALC, Poletti ME (2010) Characterization of breast tissues using Compton scattering. Nucl Instrum Method Phys Res A 619:375–378ADSCrossRefGoogle Scholar
  3. Antoniassi M, Conceição ALC, Poletti ME (2011) Study of effective atomic number of breast tissues determined using the elastic to inelastic scattering ratio. Nucl Instrum Method Phys Res A 652:739–743ADSCrossRefGoogle Scholar
  4. Aristizábal-Pachón AF, Carvalho TI, Carrara HHA, Andrade JM, Takahashi CS (2015) Detection of human mammaglobin A mRNA in peripheral blood of breast cancer patients before treatment and association with metastasis. J Egypt Natl Cancer Inst 27:217–222CrossRefGoogle Scholar
  5. Bursalıoglu EO, Alkan FA, Barutcu UB, Demir M, Karabul Y, Balkan B, Oz E, Icelli O (2017) Prediction of electron density and trace element concentrations in human blood serum following radioiodine therapy in differentiated thyroid cancer patients. Measurement 100:19–25CrossRefGoogle Scholar
  6. Cabré N, Luciano-Mateo F, Arenas M, Nadal M, Baiges-Gaya G, Hernández-Aguilera A, Domingo JL (2018) Trace element concentrations in breast cancer patients. Breast 42:142–149CrossRefGoogle Scholar
  7. Cobanoglu U, Demir H, Sayır F, Duran M, Mergan D (2010) Some mineral, trace element and heavy metal concentrations in lung cancer. Asian Pacific J Cancer Prev 11:1383–1388Google Scholar
  8. Eyecioglu O, Karabul Y, El-Khayatt AM, Icelli O (2016) ZXCOM: a software for computation of radiation sensing attributes. Radiat Eff Defect Solids 171:965–977CrossRefGoogle Scholar
  9. Eyecioglu O, El-Khayatt AM, Karabul Y, Icelli O (2017) A study on compatibility of experimental effective atomic numbers with those predicted by ZXCOM. Nucl Sci Tech 28(63):1–8Google Scholar
  10. Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray F (2015) Cancer incidence and mortality worldwide: sources, methods and major patterns in Globocan 2012. Int J Cancer 136:359–386CrossRefGoogle Scholar
  11. Gecit İ, Kavak S, Demir H, Güneş M, Pirinççi N, Çetin Ç, Ceylan K, Benli E, Yildiz I (2011) Serum trace element levels in patients with bladder cancer. Asian Pacific J Cancer Prev 12:3409–3413Google Scholar
  12. Globocan (2012) Estimated cancer incidence, mortality and prevalence worldwide in 2012. Accessed 15 June 2018
  13. Khan FM, Gibbons JP (2014) Khan’s the physics of radiation therapy, vol Fifth edition. LWW, PhiladelphiaGoogle Scholar
  14. Khoshbin AR, Mohamadabadi F, Vafaeian F, Babania A, Akbarian S, Khandozi R (2015) The effect of radiotherapy and chemotherapy on osmotic fragility of red blood cells and plasma levels of malondialdehyde in patients with breast cancer. Reports Pract Oncol Rad J Gt Cancer Cent Pozn Polish Soc Rad Onc 20:305–308Google Scholar
  15. Manual MCNP X-5 Monte Carlo Team (2003) MCNP-A general Monte Carlo N-particle TRANSPORT codeGoogle Scholar
  16. Manjunatha HC, Rudraswamy B (2012) Photon interaction parameters of dosimetric interest in bone. Health Phys 103:322–329CrossRefGoogle Scholar
  17. Manjunatha HC, Rudraswamy B (2013) Study of effective atomic number and electron density for tissues from human organs in the energy range of 1 keV-100 GeV. Health Phys 104:158–162CrossRefGoogle Scholar
  18. Mizuno D, Koyama H, Ohkawara S, Sadakane Y, Kawahara M (2014) Involvement of trace elements in the pathogenesis of prion diseases. Cur Phar Biotech 15:1049–1057CrossRefGoogle Scholar
  19. Mohammadi M, Bakhtiari AR, Khodabandeh S (2014) Concentration of Cd, Pb, Hg, and Se in different parts of human breast cancer tissues. J Toxicol 2014:1–5CrossRefGoogle Scholar
  20. Neelamegam P, Jamaludeen A, Rajendran A (2011) Prediction of calcium concentration in human blood serum using an artificial neural network. Measurement 44:312–319CrossRefGoogle Scholar
  21. Nuroglu E, Bursalioglu EO, Karabul Y, Bakirdere S, Icelli O (2016) Study of the electron densities of some food products dried using the new method. Dry Technol 34:1445–1454CrossRefGoogle Scholar
  22. Ohira S, Washio H, Yagi M, Karino T, Nakamura K, Ueda Y, Teshima T (2018) Estimation of electron density, effective atomic number and stopping power ratio using dual-layer computed tomography for radiotherapy treatment planning. Physica medica 56:34–40CrossRefGoogle Scholar
  23. Ozmen V (2014) Breast cancer in turkey: clinical and histopathological characteristics (analysis of 13.240 patients). Eur J Breast Health 10:98–105CrossRefGoogle Scholar
  24. Platz EA, Helzlsouer KJ, Hoffman SC, Morris JS, Baskett CK, Comstock GW (2002) Prediagnostic toenail cadmium and zinc and subsequent prostate cancer risk. Prostate 52:288–296CrossRefGoogle Scholar
  25. Shokrzadeh M, Ghaemian A, Salehifar E, Aliakbari S, Saravi SSS, Ebrahimi P (2009) Serum zinc and copper levels in ischemic cardiomyopathy. Biol Trace Elem Res 127:116–123CrossRefGoogle Scholar
  26. Silvera SAN, Rohan TE (2007) Trace elements and cancer risk: a review of the epidemiologic evidence. Cancer Causes Control 18:7–27CrossRefGoogle Scholar
  27. Stanislas GD, Marie M, Ons H, Elodie L, Christophe J, Edouard S, Isabelle E, Philippe D, Jean CA (2019) A high-resolution ICP-MS method for the determination of 38 inorganic elements in human whole blood, urine, hair and tissues after microwave digestion. Talanta 199:228–237CrossRefGoogle Scholar
  28. Toker O, Topdagı O, Bakirdere S, Bursalioglu EO, Oz E, Eyecioglu O, Karabul Y, Çağlar M, Icelli O (2019) Determination of Se, Cr, Mn, Zn Co, Na and K in blood samples of breast cancer patients to investigate their variation using ICP-MS and ICP-OES. At Spectrosc 40:11–16Google Scholar
  29. Topdagı O, Toker O, Bakirdere S, Bursalioglu EO, Oz O E, Eyecioglu O, Demir M, Icelli O (2018) Correlation between Na/K ratio and electron densities in blood samples of breast cancer patients. Biometals 4:673–678CrossRefGoogle Scholar
  30. Wach S, Weigelt K, Michalke B, Lieb V, Stoehr R, Keck B, Chaudhri A (2018) Diagnostic potential of major and trace elements in the serum of bladder cancer patients. J Trace Elem Med Biol 46:150–155CrossRefGoogle Scholar
  31. World Health Organization (2008) The global burden of disease: 2004 update. Accessed 22 Aug 2018

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Ozan Toker
    • 1
  • Mustafa Caglar
    • 2
  • Ersoy Oz
    • 3
  • Sezgin Bakirdere
    • 4
  • Omer Topdagi
    • 5
  • Onder Eyecioglu
    • 6
  • Orhan Icelli
    • 1
    Email author
  1. 1.Department of PhysicsYildiz Technical UniversityIstanbulTurkey
  2. 2.Department of Medical Physicsİstanbul Medipol UniversityIstanbulTurkey
  3. 3.Department of StatisticsYildiz Technical UniversityIstanbulTurkey
  4. 4.Department of ChemistryYildiz Technical UniversityIstanbulTurkey
  5. 5.Department of MedicineAtatürk UniversityErzurumTurkey
  6. 6.Department of Computer EngineeringNisantasi UniversityIstanbulTurkey

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