Variation of the Absorbed Dose by the Height of the Patient in CT Scanning

Year 2022, , 1 - 4, 15.06.2022

İsmail Hakkı Sarpün , Timur Koca , Ece Atak Yasemin Şengün Rahmi Atıl Aksoy , Mehmet Kızılkaya Aylin Fidan Korcum

https://doi.org/10.53448/akuumubd.985577

Abstract

Computed Tomography (CT) images taken in cancer treatments are important in treatment portal design and planning. The dose received by the patient in CT scans are not considered in the treatment planning dose calculation and becomes important in calculating the limit doses of the critical organs with critical dose threshold. In this study, the change of the dose received by some of the critical organs, namely the heart, liver, and kidneys, according to the height of the patient was investigated with the NCICT code using the Monte Carlo technique. As a result, doses were changed by the height of the patients.

Keywords

CT, Phantom, NCICT, Monte Carlo

CT Taramalarında Hastanın Boyuna Göre Absorbe Edilen Dozun Değişimi

Abstract

Kanser tedavilerinde çekilen Bilgisayarlı Tomografi (CT) görüntüleri, tedavi portalı tasarımı ve planlamasında önemlidir. Hastanın CT taramalarında aldığı doz, tedavi planlaması doz hesaplamasında dikkate alınmaz ve kritik doz eşiğine sahip kritik organların sınır dozlarının hesaplanmasında önem kazanır. Bu çalışmada bazı kritik organlar olan kalp, karaciğer ve böbreklerin hastanın boyuna göre aldığı dozun değişimi Monte Carlo tekniği kullanılarak NCICT kodu ile araştırıldı. Sonuç olarak, dozlar hastaların boyuna göre değiştirildi.

Keywords

CT, Phantom, NCICT, Monte Carlo

References

• AAPM, 2011. Size-specific dose estimates (ssde) in pediatric and adult body CT examinations. AAPM Report 204, 1-30.
• Ban, N., Takahashi, F., Sato, K., Endo, A., Ono, K., Hasegawa, T., Yoshitake, T., Katsunuma, Y. and Kai, M., 2011. Development of a web-based CT dose calculator: WAZA-ARI. Radiation Protection Dosimetry, 147, 333–337.
• Caon, M., 2004. Voxel-based computational models of real human anatomy: a review. Radiation and Environmental Biophysics, 42, 229–35.
• ICRP, 2009. Adult Reference Computational Phantoms ICRP Publication 110, Annual ICRP, 39, 1–166.
• Kalender, W.A., Schmidt, B. and Zankl, M., 1999. A PC program for estimating organ dose and effective dose values in computed tomography. European Radiology, 9, 555–562.
• Lee, E., Lamart, S., Little, M.P. and Lee, C., 2014. Database of normalised computed tomography dose index for retrospective CT dosimetry. Journal of Radiological Protection, 34, 363–88.
• Lee, C., Kim, K.P., Bolch, W.E., Moroz, B.E. and Folio, L., 2015. NCICT: a computational solution to estimate organ doses for pediatric and adult patients undergoing CT scans. Journal of Radiological Protection, 35, 4, 891-909.
• Lee, C., Kim, K.P., Long, D., Fisher, R., Tien, C., Simon, S.L., Bouville, A. and Bolch, W.E., 2011. Organ doses for reference adult male and female undergoing computed tomography estimated by Monte Carlo simulations. Medical Physics, 38, 1196–206.
• Lee, C., Kim, K.P., Long, D. and Bolch, W.E., 2012. Organ doses for reference pediatric and adolescent patients undergoing computed tomography estimated by Monte Carlo simulation. Medical Physics, 39, 2129–46.
• National Research Council, 2006. Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2, Washington DC, National Academies Press.
• Reiser, M.F., Takahashi, M., Modic, M. and Becker, C.R., 2004. Multislice CT, ed. Reiser, M.F., et al., Berlin, Springer.
• Sahbaee, P., Segar, W.P. and Samei, E., 2014. Patient-based estimation of organ dose for a population of 58 adult patients across 13 protocol categories. Medical Physics, 41, 072104.
• Mission Zhang, D., Angel, E., Cody, D.D., Stevens, D.M., McCollough, C.H. and McNitt-Gray, M.F., 2010. The feasibility of a scanner-independent technique to estimate organ dose from MDCT scans: using CTDIvol to account for differences between scanners. Medical Physics, 37, 1816.
• Xu, X.G., 2014. An exponential growth of computational phantom research in radiation protection, imaging, and radiotherapy: a review of the fifty-year history. Physics in Medicine and Biology, 59, R233–302.
• Zaidi, H. and Xu, X.G., 2007. Computational anthropomorphic models of the human anatomy: the path to realistic Monte Carlo modeling in radiological sciences. Annual Review of Biomedical Engineering, 9, 471–500