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Time-Activity data fitting in molecular Radiotherapy: Methodology and pitfalls.

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Summary

Accurate radiopharmaceutical therapy (RPT) absorbed dose calculations require reliable time-integrated activities (TIAs). This work reviews quality assurance and uncertainty management for TIAs to reduce variability in personalized RPT dosimetry.

Keywords:
DosimetryRadiopharmaceutical therapyTACTIATime-activity curveTime-integrated activities

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Area of Science:

  • Medical Physics
  • Nuclear Medicine
  • Radiopharmaceutical Therapy

Background:

  • Absorbed radiation dose calculations are crucial for radiopharmaceutical therapy (RPT) safety and efficacy.
  • Patient-specific dosimetry relies on accurate time-integrated activities (TIAs) and radiation energy deposition parameters.
  • TIAs are derived from the area under the radiopharmaceutical's time-activity curve (TAC), typically from patient biokinetic measurements.

Purpose of the Study:

  • To provide an overview of quality assurance and uncertainty management considerations for time-integrated activity (TIA) estimation in RPT dosimetry.
  • To address the lack of consensus and understanding regarding user-dependent variations in TAC calculation and their impact on dosimetry.
  • To serve as a foundational step in minimizing site-dependent variability in personalized RPT dosimetry.

Main Methods:

  • Review of current practices in time-activity curve (TAC) determination for RPT.
  • Analysis of user-dependent factors influencing TAC calculation, including data sampling, fitting functions, and error models.
  • Discussion of quality assurance strategies and uncertainty management principles relevant to TIA estimation.

Main Results:

  • User decisions in TAC calculation (e.g., time points, fit functions) significantly impact TIA values and absorbed dose accuracy.
  • There is a notable lack of standardization in processing time-activity data for RPT dosimetry.
  • Variations in TIA estimation due to user-dependent methods can lead to significant uncertainty in personalized dosimetry.

Conclusions:

  • Standardized quality assurance and uncertainty management are essential for reliable TIA estimation in RPT.
  • Addressing user-dependent variability in TAC calculation is critical for improving the accuracy and consistency of personalized RPT dosimetry.
  • This work highlights the need for consensus and clear guidelines to ensure robust RPT dose calculations.