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Drug concentration is the quantity of a drug present in a biological sample. Measuring drug amounts in biological samples allows the clinician to understand how a drug is absorbed, distributed, metabolized, and excreted. Samples can be obtained through invasive or non-invasive methods. Invasive techniques involve surgical or parenteral interventions to gather blood, cerebrospinal fluid, or tissue biopsy. Conversely, non-invasive approaches provide samples like urine, feces, and saliva.
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This review highlights the critical role of dosimetry software in radiopharmaceutical therapy for personalized treatment and patient safety. It emphasizes the need for standardization, advanced features, and collaboration to improve therapeutic efficacy.

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Area of Science:

  • Medical Physics
  • Nuclear Medicine
  • Radiopharmaceutical Therapy

Background:

  • Dosimetry is essential for personalized radiopharmaceutical therapies, calculating absorbed doses for treatment planning and safety.
  • The expanding field of therapeutic radiopharmaceuticals necessitates advanced dosimetry software for treatment efficacy optimization.

Purpose of the Study:

  • To review current and future features of dosimetry software for radiopharmaceutical therapy.
  • To identify needs for standardization, advanced modeling, and improved uncertainty quantification in dosimetry software.
  • To advocate for open data sets and vendor-end user collaboration to enhance integration and efficacy.

Main Methods:

  • Literature review of current dosimetry software capabilities.
  • Analysis of essential features for future dosimetry software development.
  • Discussion of opportunities for software advancement and field integration.

Main Results:

  • Current dosimetry software is crucial but requires standardization across platforms for accurate dose calculations.
  • Future software should incorporate biologically effective dose modeling and enhanced uncertainty quantification.
  • Standardization and collaboration are key to improving the efficacy of radiopharmaceutical therapies.

Conclusions:

  • Standardization of dosimetry software is vital for consistent and accurate dose calculations in radiopharmaceutical therapy.
  • Advancements in software, including biologically effective dose modeling and uncertainty quantification, are needed.
  • Open data infrastructure and collaborative efforts will drive greater integration and efficacy in the field.