Mathematical simulation of radiation diagnostics of foreign bodies of lungs of fire origin
PDF (Українська)

Keywords

mathematical simulation
gunshot wounds
lungs
foreign bodies

How to Cite

Bunin , Y., Mikhaylusov , R., Negoduyko , V., Nechuiviter , O., Pershyna , I., & Yasinsky , O. (2021). Mathematical simulation of radiation diagnostics of foreign bodies of lungs of fire origin. Medicine Today and Tomorrow, 90(2), 30-39. https://doi.org/10.35339/msz.2021.90.2.bmn

Abstract

According to spiral computed tomography, it is difficult to accurately determine the size of a foreign body, due to the observed artifact in the form of "shine" of metal in the tissues. A mathematical model for determining the size of foreign bodies of the lungs of gunshot origin has been developed to improve the results of diagnosis of gunshot wounds penetrating the chest with lung damage. For mathematical modeling of the process of diagnosing foreign bodies of the lungs, we used the dimensions of 32 foreign bodies of lungs of fire origin, detected during spiral computed tomography and removed during surgery. To more accurately determine the length, width and height of a real foreign body, it is necessary to take into account the correction factor, which depends on the X-ray density of the foreign body. Measuring the exact size of foreign bodies allows you to more adequately determine further surgical tactics.

Keywords: mathematical simulation, gunshot wounds, lungs, foreign bodies.

https://doi.org/10.35339/msz.2021.90.2.bmn
PDF (Українська)

References

Lytvyn OM, Lobanova LS. Matematychne modeliuvannia ta obchysliuvalni metody na PEOM: navchalno-metodychnyi posibnyk dlia aspirantiv, mahistriv, studentiv inzhenernykh, inzhenerno-pedahohichnykh ta matematychnykh spetsialnostei [Mathematical modeling and computational methods on a PC: a textbook for graduate students, masters, students of engineering, engineering, pedagogical and mathematical specialties]. Kharkiv; 2012. 154 p. [in Ukrainian].

Negoduyko VV. Classification of foreign bodies of soft tissues of fire of origin. Medicine Today and Tomorrow. 2017;(3–4(76–77)):30–3. Available from: https://msz.knmu.edu.ua/article/view/375 [in Ukrainian].

Negoduyko VV, Mikhailusov RN, Yakimova TP. Phases of carriage of soft tissue foreign bodies of gunshot origin. Ukrainian Journal of Surgery. 2018;(2(37)):51–4. DOI: 10.22141/1997-2938.2.37.2018.147848. [In Ukrainian].

Brovchenko IO. Rozrobka matematychnoi modeli poshyrennia epidemii COVID-19 v Ukraini [Development of a mathematical model for the spread of the COVID-19 epidemic in Ukraine]. Svitohliad [Outlook]. 2020;15(2(82)):2–14. Available from: http://svitohlyad.org.ua/index.php/uk/2020?issue=2 [in Ukrainian].

Tsymbaliuk VI, editor. Vohnepalni poranennia miakykh tkanyn (dosvid ATO/OOS) [Soft tissue gunshot wounds (ATO/OOS experience)]. Kharkiv: Collehium; 2020. 400 p. [in Ukrainian].

Zarutskyi YaL, Bilyi VIa, Denysenko VM, Aslanian SA, Bohdan IS. Voienno-polova khirurhiia [Military field surgery]. Zarutskyi YaL, Bilyi VYa, editors. Kyiv: Feniks; 2018. 552 p. [in Ukrainian].

Barrett JF, Keat N. Artifacts in CT: recognition and avoidance. Radiographics. 2004;24(6):1679–91. DOI: 10.1148/rg.246045065. PMID: 15537976.

Boas FE, Fleischmann D. CT artifacts: Causes and reduction techniques. Imaging Med. 2012;4(2):229–40. Available from: https://www.openaccessjournals.com/articles/ct-artifacts-causes-and-reduction-techniques.html.

Boas FE, Fleischmann D. Evaluation of two iterative techniques for reducing metal artifacts in computed tomography. Radiology. 2011;259(3):894–902. DOI: 10.1148/radiol.11101782. PMID: 21357521.

Wagenaar D, van der Graaf ER, van der Schaaf A, Greuter MJW. Quantitative Comparison of commercial and non-commercial metal artifact reduction techniques in computed tomography. PLOS One. 2015;10(6):e0127932. DOI: 10.1371/journal.pone.0127932. PMID: 26030821.

Meganck JA, Kozloff KM, Thornton MM, et al. Beam hardening artifacts in micro-computed tomography scanning can be reduced by X-ray beam filtration and the resulting images can be used to accurately measure BMD. Bone. 2009;45(6):1104–16. DOI: 10.1016/j.bone.2009.07.078. PMID: 19651256.

Lytvyn OM, Pershyna YuI, Nechuiviter YuP; Ukrainska inzhenerno-pedahohichna akademiia. Teoretychni, fizychni ta informatsiini osnovy haluzevoho znannia: navchalno-metodychnyi posibnyk dlia mahistriv dennoi ta zaochnoi formy navchannia inzhenernykh ta inzhenerno-pedahohichnykh spetsialnostei [Theoretical, physical and information bases of branch knowledge: educational and methodical manual for masters of full-time and part-time form of teaching engineering and engineering-pedagogical specialties]. Kharkiv; 2016. 72 p. [In Ukrainian].

Negoduyko VV, Nechuiviter OP, Pershina YuI. Matematicheskoie modelirovaniie udaleniia inorodnykh tel miahkikh tkanei ohnestrelnoho proiskhozhdeniia [Mathematical modeling of removal of foreign bodies of soft tissues of gunshot origin]. Visnyk morskoi medytsyny [Bulletin of Marine Medicine]. 2017;(1(74)):96–102. Available from: https://is.gd/8JFwp9 [in Russian].