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Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
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Multi-institutional Knowledge-Based (KB) plan prediction benchmark models for whole breast irradiation.

Alessia Tudda1, Roberta Castriconi1, Lorenzo Placidi2

  • 1Medical Physics Dept IRCCS San Raffaele Scientific Institution Milano Italy.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
|January 17, 2025
PubMed
Summary

This study developed multi-institutional Knowledge-Based (KB) benchmark models for whole breast irradiation (WBI) plans. These models accurately predict treatment outcomes across different centers, proving useful for quality assurance and education.

Keywords:
Benchmark modelKnowledge-based plan predictionMulti-institutional modelWhole-breast radiotherapy

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Knowledge-Based (KB) planning is increasingly used in radiation oncology.
  • Developing robust, multi-institutional KB models is crucial for wider adoption and standardization.
  • Whole Breast Irradiation (WBI) using tangential fields is a common treatment modality.

Purpose of the Study:

  • To train and validate Knowledge-Based (KB) prediction models by merging data from a large multi-institutional cohort of whole breast irradiation (WBI) plans.
  • To assess the transferability of institutional KB models across different centers.
  • To create benchmark KB models representing multi-institutional performance.

Main Methods:

  • Ten institutions developed institutional KB models for WBI (left/right).
  • Model transferability was assessed using geometric Principal Component analysis and optimization policy comparison.
  • Data from institutions with transferable models were combined to build two KB-benchmark models (right/left breast).
  • Dose-volume histogram (DVH) prediction bands were compared between benchmark and institutional models.

Main Results:

  • Most institutional KB models demonstrated transferability across centers.
  • Multi-institutional benchmark models were created using data from 850 patients across multiple institutions.
  • The KB-benchmark models showed high similarity in prediction bands (lung/heart DVH) compared to individual institutional models.
  • The right-breast KB-benchmark model predicted slightly lower mean lung dose (Dmean) than most institutional models.

Conclusions:

  • Successfully generated multi-institutional KB-benchmark models for WBI.
  • These models represent performance achieved in experienced multi-institutional settings.
  • KB-benchmark models have significant applications in automatic plan optimization, quality assurance/audit, and education.