An image-based skeletal dosimetry model for the ICRP reference newborn--internal electron sources

Deanna Pafundi1, Didier Rajon, Derek Jokisch

  • 1Department of Nuclear & Radiological Engineering, University of Florida, Gainesville, FL, USA.

Insights

This study presents a novel electron dosimetry model for newborn skeletal tissues, crucial for understanding radiation dose in pediatric patients. The model accurately calculates absorbed radiation fractions for active marrow, shallow marrow, and cartilage.

Area of Science:

  • Medical Physics
  • Radiological Dosimetry
  • Pediatric Nuclear Medicine

Background:

  • Accurate radiation dosimetry in newborns is critical for pediatric nuclear medicine and radionuclide therapy.
  • Existing models may not fully capture the complex skeletal structure and cellularity of newborns.
  • Understanding electron transport in developing bone and marrow is essential for risk assessment.

Purpose of the Study:

  • To develop a comprehensive electron dosimetry model for newborn skeletal tissues.
  • To calculate specific absorbed fractions for key target tissues in the newborn skeleton.
  • To provide detailed dose data for electron emissions from various skeletal sources.

Main Methods:

  • Utilized the University of Florida newborn hybrid phantom and Pafundi et al.'s skeletal model.
  • Employed the EGSnrc-based Paired Image Radiation Transport code.
  • Modeled monoenergetic electron emissions (1 keV–10 MeV) from active marrow, bone, and cartilage.

Main Results:

  • Reported skeletal-averaged specific absorbed fractions according to the MIRD schema.
  • Provided bone-specific values in tabular and graphic formats as electronic annexes.
  • Quantified dose contributions to active marrow, shallow marrow, and cartilage from various electron sources.

Conclusions:

  • The developed model offers a unique and detailed approach to newborn skeletal electron dosimetry.
  • Explicitly accounts for newborn ossification centers, marrow cellularity changes, and bone structure.
  • Provides essential data for improving radiation dose estimations in pediatric applications.