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Related Experiment Video

Updated: Oct 4, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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Reducing MRI-guided radiotherapy planning and delivery times via efficient leaf sequencing and segment shape

Jeffrey E Snyder1, Joël St-Aubin1, Sridhar Yaddanapudi1

  • 1Department of Radiation Oncology, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, Iowa City, IA 52242, United States of America.

Physics in Medicine and Biology
|February 7, 2022
PubMed
Summary

New algorithms for magnetic resonance imaging guided adaptive radiotherapy (MRIgRT) significantly reduce treatment planning and delivery times. Optimal Fluence Levels (OFL) and Pseudo Gradient Descent (PGD) algorithms improve efficiency without compromising plan quality on the Elekta Unity system.

Keywords:
IMRTMR-linacalgorithmoptimizationunity

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Image-Guided Therapy

Background:

  • Extended treatment session times are a significant operational challenge in MRI-guided adaptive radiotherapy (MRIgRT).
  • Efficient treatment planning and delivery are crucial for maximizing patient throughput and minimizing treatment interruptions in MRIgRT.

Purpose of the Study:

  • To evaluate a novel leaf sequencing algorithm (Optimal Fluence Levels - OFL) and an optimization algorithm (Pseudo Gradient Descent - PGD) for MRIgRT on the Elekta Unity system.
  • To assess the impact of OFL + PGD on plan quality, beam complexity, and treatment session times compared to conventional methods.

Main Methods:

  • Ten patients (prostate, oligometastases, pancreatic, liver cancer) underwent treatment planning using both conventional Monaco Hyperion and novel OFL + PGD algorithms.
  • IMRT constraints and planning parameters were held constant; plans were normalized to 95% PTV coverage.
  • Paired t-tests were used to evaluate statistical significance in optimization time, delivery time, MLC segments, and beam modulation.

Main Results:

  • OFL + PGD demonstrated equivalent dosimetric organ-at-risk sparing compared to conventional plans.
  • Significant reductions were observed in optimization time (51.4%) and treatment delivery time (10.6%) with OFL + PGD.
  • OFL + PGD plans showed fewer multi-leaf collimator (MLC) segments (13.2%) and lower plan-averaged beam modulation (0.1).

Conclusions:

  • The OFL + PGD algorithms enable faster generation and delivery of Elekta Unity MRIgRT plans without compromising dosimetric quality.
  • Reduced treatment complexity, indicated by fewer MLC segments and lower beam modulation, likely contributes to the observed efficiency gains.
  • These findings suggest OFL + PGD as a promising approach to overcome operational limitations in MRIgRT.