Simulation of H p (10) and effective dose received by the medical staff in interventional radiology procedures

P Ferrari1, F Becker2, Z Jovanovic3

  • 1ENEA-IRP, Radiation Protection Institute, 4 Via Martiri di Monte Sole, 40129 Bologna, Italy.

Insights

Interventional radiology procedures increase radiation exposure for medical staff. This study used Monte Carlo simulations to assess operator radiation doses, finding specific exposure levels normalized to radiation output, crucial for safety protocols.

Area of Science:

  • Medical Physics
  • Radiological Sciences
  • Occupational Health

Background:

  • Interventional radiology and cardiology offer alternatives to surgery but increase radiation exposure for patients and staff.
  • Operator radiation exposure in cardiology procedures is well-studied, but less is known about interventional radiology staff.
  • Accurate dosimetry is essential for managing occupational radiation risks in interventional procedures.

Purpose of the Study:

  • To investigate and quantify radiation exposure conditions for medical staff during interventional radiology procedures.
  • To evaluate the personal dose equivalent and effective dose for operators relative to radiation output.

Main Methods:

  • Utilized Monte Carlo simulations with anthropomorphic phantoms to model radiation scenarios for two operators and a patient.
  • Modeled personal dosemeters worn on aprons for comparison with hospital measurements.
  • Calculated personal dose equivalent, Hp(10), and effective dose, normalized to the simulated Kerma-Area Product (KAP) value.

Main Results:

  • The Hp(10)/KAP value for the primary operator was approximately 10 μSv/Gy·cm² without ceiling shielding, varying with dosemeter position.
  • Normalized effective dose ranged from 0.03 to 0.4 μSv/Gy·cm².
  • Simulation results showed good agreement with hospital measurements and existing literature data.

Conclusions:

  • The study provides valuable dosimetric characterization for interventional radiology procedures.
  • Findings support the use of numerical modeling for assessing occupational radiation exposure in these settings.
  • Results can inform improved radiation protection strategies for interventional radiology staff.

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