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Monte Carlo evaluation of occupational exposures in equine radiology procedures.

Abstract: Portable X-ray equipments are commonly used in diagnostic radiology of equine patients. Despite its benefits, the exposure to ionizing radiation can pose a health risk to workers as physical restraint of patients is typically required. In this context, the aim of this study was to apply Monte Carlo simulation to investigate occupational exposure in the diagnosis of horses. The simulations were carried out by the Monte Carlo N-Particle 6.2 (MCNP6.2) code. The workers were represented by a FASH3 (female) and MASH3 (male) virtual anthropomorphic phantoms. To simulate the horse, a realistic virtual anthropomorphic phantom was created by voxelizing a commercially available 3D model. The spectra were calculated using the SpekCalc program with parameters: 90 and 100 kV, anode angle of 20°, filtration of 2.7 mmAl and field of view of 43×35cm. In the first simulated scenario, workers do not utilize personal protective equipment (PPE). In the second scenario, workers use PPE (lead apron, thyroid protector and lead glasses) and accessories to increase the distance from the patient/X-ray. The results are presented as conversion coefficients for Equivalent Dose (CC[H]) and Effective dose (CC[E]) normalized by the Air Kerma. Without protection, the most exposed organs/tissues of the assistants were: thyroid, for the woman, and breasts, for the man. In the most critical scenario, the assistant CC[E] values are higher than tube operators by a factor of 28. The combination of PPE use and increased distance reduced these CC[H] by at least 99% for the assistants and 97% for tube operators.
Publication Date: 2025-08-21 PubMed ID: 40884911DOI: 10.1016/j.apradiso.2025.112116Google Scholar: Lookup
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  • Journal Article

Summary

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Overview

  • This study uses Monte Carlo simulations to evaluate radiation exposure risks to workers assisting in equine X-ray procedures.
  • It investigates how protective equipment and distancing impact occupational radiation doses during horse diagnostic imaging.

Introduction and Background

  • Portable X-ray machines provide essential diagnostic imaging for horses but involve exposure to ionizing radiation.
  • Workers often physically restrain horses during imaging, increasing their radiation exposure risk.
  • Assessing occupational radiation doses helps to understand health risks and improve safety measures.
  • Monte Carlo simulations provide a computational approach to estimate radiation dose distribution in complex scenarios.

Methods and Simulation Setup

  • The research utilizes the Monte Carlo N-Particle 6.2 (MCNP6.2) simulation code to model radiation transport.
  • Virtual anthropomorphic phantoms representing workers are used: FASH3 for female and MASH3 for male models.
  • A realistic virtual horse phantom was created by converting a commercially available 3D horse model into a voxel-based representation, allowing accurate radiation interaction modeling.
  • X-ray beam spectra were generated using the SpekCalc program with parameters:
    • Tube voltages: 90 kV and 100 kV
    • Anode angle: 20°
    • Filtration: 2.7 mm Aluminum
    • Field of view: 43 × 35 cm
  • Two scenarios were simulated:
    • Scenario 1: Workers without personal protective equipment (PPE)
    • Scenario 2: Workers wearing PPE (lead apron, thyroid protector, lead glasses) and maintaining increased distance from the X-ray source/horses

Key Radiation Dose Metrics

  • Conversion Coefficients were calculated:
    • CC[H]: Equivalent Dose coefficients for specific organs/tissues
    • CC[E]: Effective Dose coefficients estimating overall health risk
  • Doses were normalized by Air Kerma, a measure of the kinetic energy transferred from photons to air, serving as a reference for exposure.

Results

  • Without protection:
    • The thyroid was the most irradiated organ for the female phantom (FASH3).
    • The breasts received the highest dose for the male phantom (MASH3).
    • The assistant (person physically restraining the horse) experienced up to 28 times higher effective dose (CC[E]) than the X-ray tube operator.
  • With PPE and increased distance:
    • Equivalent doses (CC[H]) for assistants were reduced by at least 99%.
    • Doses for tube operators were reduced by at least 97%.
    • This demonstrates the efficacy of combined protective measures in significantly lowering occupational radiation exposure.

Conclusions and Implications

  • The study quantitatively demonstrates the high radiation exposure risk to workers, especially assistants, during equine radiology without protection.
  • Monte Carlo simulations successfully model complex interactions between radiation, workers, and the animal patient.
  • The results emphasize the critical importance of using personal protective equipment and maintaining distance to minimize health risks.
  • Findings can inform safety protocols and training for veterinary radiology staff.
  • Overall, adopting PPE and optimized working positions can reduce occupational radiation dose by over 95%, promoting safer working conditions.

Cite This Article

APA
de Souza LWG, Oliveira EA, Vieira JW, Farias WAWA, de Souza Santos W, Neves LP, Perini AP. (2025). Monte Carlo evaluation of occupational exposures in equine radiology procedures. Appl Radiat Isot, 226, 112116. https://doi.org/10.1016/j.apradiso.2025.112116

Publication

ISSN: 1872-9800
NlmUniqueID: 9306253
Country: England
Language: English
Volume: 226
Pages: 112116
PII: S0969-8043(25)00461-0

Researcher Affiliations

de Souza, Lucas Wilian Gonçalves
  • Programa de Pós-Graduação em Engenharia Biomédica, Faculdade de Engenharia Elétrica - Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2121, Uberlândia, 38400-902, MG, Brazil; Instituto de Física - Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2121, Uberlândia, 38400-902, MG, Brazil.
Oliveira, Evely Alves
  • Instituto de Física - Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2121, Uberlândia, 38400-902, MG, Brazil. Electronic address: evely.oliveira@ufu.br.
Vieira, José Wilson
  • Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco, R. Prof. Luiz Freire, 500, Recife, 50740-540, PE, Brazil.
Farias, Whoody Alem Wanderley Araripe
  • Departamento de Energia Nuclear Universidade Federal de Pernambuco, R. Prof. Luiz Freire, 1000, Recife, 50740-545, PE, Brazil.
de Souza Santos, William
  • Programa de Pós-Graduação em Engenharia Biomédica, Faculdade de Engenharia Elétrica - Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2121, Uberlândia, 38400-902, MG, Brazil; Universidade Federal de Sergipe, Centro de Ciências Exatas e Tecnologia, Departamento de Fisica, Av. Marcelo Deda Chagas, s/n, São Cristóvão, 49107-230, SE, Brazil.
Neves, Lucio Pereira
  • Programa de Pós-Graduação em Engenharia Biomédica, Faculdade de Engenharia Elétrica - Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2121, Uberlândia, 38400-902, MG, Brazil; Instituto de Física - Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2121, Uberlândia, 38400-902, MG, Brazil.
Perini, Ana Paula
  • Programa de Pós-Graduação em Engenharia Biomédica, Faculdade de Engenharia Elétrica - Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2121, Uberlândia, 38400-902, MG, Brazil; Instituto de Física - Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2121, Uberlândia, 38400-902, MG, Brazil.

MeSH Terms

  • Monte Carlo Method
  • Occupational Exposure / analysis
  • Animals
  • Horses
  • Male
  • Phantoms, Imaging
  • Humans
  • Female
  • Radiation Dosage
  • Radiography / veterinary
  • Radiography / adverse effects
  • Radiation Protection
  • Radiation Exposure

Conflict of Interest Statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Citations

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