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Quality assurance in clinical dosimetry
1Institut de Recherche en Cancérologie de Montpellier (U1194 INSERM/Institut du Cancer de Montpellier/Université de Montpellier), France. manuel.bardies@inserm.fr.
Hellenic Journal of Nuclear Medicine
|September 2, 2023
Summary
Evaluating clinical dosimetry software is crucial for nuclear medicine. Benchmarking each step with diverse tools and real data ensures accuracy and robustness in dosimetry procedures.
Area of Science:
- Medical Physics
- Nuclear Medicine
- Radiotherapy
Background:
- Clinical dosimetry in nuclear medicine is rapidly advancing with increasing therapeutic applications.
- Commercial clinical dosimetry software offers workflow optimization but requires rigorous performance evaluation for accuracy and usability.
- Assessing the performance of these software packages is essential for reliable clinical practice.
Purpose of the Study:
- To discuss the essential steps for evaluating clinical dosimetry procedures.
- To specifically address the evaluation methodologies for clinical dosimetry software.
Main Methods:
- The clinical dosimetry workflow (CDW) involves multiple steps from calibration to reporting.
- Variability in CDW implementation across different software necessitates standardized evaluation approaches.
- Benchmarking involves using phantoms, anthropomorphic models, Monte Carlo simulations, and patient data.
Main Results:
- Different steps of the CDW require specific evaluation tools, ranging from physical phantoms to computational models.
- Assessing calibration/reconstruction can utilize radioactive sources, while registration procedures need different approaches.
- Absorbed dose calculation algorithms can be verified using Monte Carlo methods as a gold standard.
Conclusions:
- A comprehensive evaluation of clinical dosimetry software requires a combination of diverse tools and methods.
- End-to-end process benchmarking on clinical data is valuable but limited by the lack of known ground truth.
- Quality assurance in nuclear medicine dosimetry is developing, with potential to adapt radiotherapy procedures for robust and reproducible clinical dosimetry.
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