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Multicriteria optimization: Site-specific class solutions for VMAT plans.

Mariana Guerrero1, Zachary Fellows1, Pranshu Mohindra1

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Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists
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PubMed
Summary
This summary is machine-generated.

Multicriteria optimization (MCO) for VMAT planning offers comparable or improved dosimetric outcomes across various anatomical sites. This novel method allows real-time assessment of clinical goals and organ constraints, enhancing treatment planning.

Keywords:
IMRTOptimizationRadiation TherapyTreatment PlanningVMAT

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Radiotherapy Planning

Background:

  • Multicriteria optimization (MCO) is a novel method for Intensity-Modulated Radiation Therapy (IMRT) and Volumetric Modulated Arc Therapy (VMAT).
  • MCO enables real-time evaluation of trade-offs between clinical objectives and organ constraints in treatment planning.
  • The feasibility of a universal set of objectives and constraints for VMAT across diverse anatomical sites requires investigation.

Purpose of the Study:

  • To assess the feasibility of using a universal set of objectives and constraints for VMAT planning across multiple anatomical sites.
  • To compare the dosimetric quality of MCO-generated plans with existing clinical plans or plans generated with Direct Machine Parameter Optimization (DMPO).
  • To evaluate the impact of physician involvement in navigating Pareto optimal plans generated by MCO.

Main Methods:

  • Retrospective generation of MCO plans using a universal set of objectives and constraints for 20 prostate, 14 whole pelvis, 10 lung, 15 pancreas, and 7 head and neck VMAT cases.
  • Comparison of MCO plan scores against clinical plans or DMPO-generated plans.
  • Analysis of dosimetric measures, including Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP), and evaluation of physician-selected trade-offs.

Main Results:

  • MCO plans demonstrated comparable or slightly improved outcomes (e.g., lower rectum NTCP) for prostate cancer compared to clinical plans.
  • For whole pelvis and pancreas cases, MCO plans were dosimetrically comparable to clinical plans.
  • In lung cancer cases, MCO plans showed advantages in specific patient scenarios, improving or maintaining target coverage while reducing dose to organs at risk. Physician navigation influenced plan selection.
  • Comparable MCO plans were achieved for head and neck cases.

Conclusions:

  • VMAT plans generated with MCO using a universal set of objectives and constraints are comparable to clinically implemented plans across a wide range of anatomical sites and patient geometries.
  • MCO has the potential to improve treatment planning workflows by allowing real-time assessment of dosimetric trade-offs.
  • Physician interaction in plan navigation can lead to different, yet valid, dosimetric trade-offs.