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Updated: May 30, 2026

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Patient-specific dosimetry in radionuclide therapy.

Maria Lyra1, Nefeli Lagopati, Paraskevi Charalambatou

  • 1Radiation Physics Unit, A' Radiology Department, Kapodistrian University of Athens, 76 Vas Sophias Ave, Athens, Greece. mlyra@med.uoa.gr

Radiation Protection Dosimetry
|August 12, 2011
PubMed
Summary

This study compares palliative treatment absorbed doses using planar imaging versus Monte Carlo simulation for bone and liver lesions. Monte Carlo simulation offers greater accuracy in internal dosimetry for nuclear medicine applications.

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Published on: March 11, 2021

Area of Science:

  • Nuclear Medicine
  • Medical Physics
  • Radiotherapy

Background:

  • Internal dosimetry is crucial for effective palliative treatment of bone and liver lesions.
  • Current methods using planar imaging data have limitations, including lack of attenuation and scatter corrections, and organ overlay.
  • Accurate absorbed dose calculation is essential for optimizing patient treatment and minimizing toxicity.

Purpose of the Study:

  • To compare individualized palliative treatment absorbed doses calculated by planar imaging data versus Monte Carlo simulation.
  • To evaluate the accuracy of absorbed dose estimations in bone metastases and liver lesions.
  • To propose advanced methods for patient-specific dosimetry.

Main Methods:

  • Utilized Medical Internal Radiation Dose (MIRD) schema for absorbed dose estimation.
  • Employed Monte Carlo (MC) simulation to calculate radiopharmaceutical volume distributions and absorbed doses in lesions and critical organs.
  • Compared results from planar data calculations with MC simulations in two in vivo cases.

Main Results:

  • Planar data calculations showed an overall error of approximately 7% compared to Monte Carlo simulations.
  • Monte Carlo simulation provided more accurate absorbed dose calculations, accounting for complex geometries and inhomogeneities.
  • Patient-specific 3D dosimetric calculations using SPECT/CT were proposed for enhanced accuracy.

Conclusions:

  • Individualized planar data calculations, while common, are less accurate than Monte Carlo simulations due to inherent limitations.
  • Monte Carlo simulation, particularly with patient-specific 3D imaging (SPECT/CT), offers a more precise approach to internal dosimetry.
  • The use of dose-volume histograms is recommended for evaluating dose distributions in heterogeneous cases.