Internal photon and electron dosimetry of the newborn patient--a hybrid computational phantom study

Michael Wayson1, Choonsik Lee, George Sgouros

  • 1J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA. mikew13@ufl.edu

Insights

Accurate radiation dose estimates are crucial for pediatric nuclear medicine. This study presents a new computational phantom for newborn dosimetry, improving accuracy over existing models for better patient safety and optimized imaging.

Area of Science:

  • Medical Physics
  • Nuclear Medicine Dosimetry
  • Pediatric Radiation Safety

Background:

  • Accurate radiation absorbed dose estimation is essential for optimizing administered activity and assessing stochastic risk in nuclear medicine patients.
  • Pediatric patients, especially newborns, require precise dosimetry due to heightened radiosensitivity and longer life expectancies.
  • Existing methods using stylized phantoms may lack the necessary anatomical detail for accurate dose calculations in newborns.

Purpose of the Study:

  • To develop a comprehensive model for electron and photon internal dosimetry in the reference newborn child.
  • To calculate radionuclide S values using a high-resolution hybrid-voxel phantom for improved dose and risk evaluation.
  • To compare newly derived S values with those from the OLINDA/EXM software and highlight discrepancies.

Main Methods:

  • Utilized a high-resolution hybrid-voxel phantom of the reference newborn child from the University of Florida (UF) patient model series.
  • Employed the MCNPX v2.6 radiation transport code to compute photon specific absorbed fractions (SAFs).
  • Calculated electron SAFs by separately computing collisional and radiative components of organ dose for unique efficiency.

Main Results:

  • Generated photon and electron SAFs for reference male and female newborns.
  • Assembled a comprehensive set of S values for 16 common radionuclides used in newborn molecular imaging.
  • Observed significant discrepancies (organ self-dose ratios 0.46-1.42, cross-dose ratios 0.04-3.49) compared to OLINDA/EXM, attributed to simplistic organ modeling in the latter.

Conclusions:

  • Presented a comprehensive internal dosimetry model for newborn nuclear medicine patients based on the UF hybrid computational phantom.
  • Provided photon dose response functions, photon and electron SAFs, and radionuclide S values for newborn dosimetry.
  • These data are crucial for optimizing image quality and assessing stochastic risk in this vulnerable pediatric population.