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Related Experiment Video

Updated: Jan 19, 2026

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Novel inverse planning optimization algorithm for robotic radiosurgery: First clinical implementation and dosimetric

Michele Zeverino1, Maud Marguet1, Cedric Zulliger2

  • 1Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

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)
|September 14, 2019
PubMed
Summary
This summary is machine-generated.

The new VOLO™ optimization algorithm improves robotic radiosurgery efficiency and dose distribution for various cancer treatments, offering reduced delivery times for IRIS-based plans and enhanced quality for MLC-based plans compared to Sequential Optimization (SO).

Keywords:
CyberknifeInverse planningPlan comparisonSBRTSRS

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiosurgery

Background:

  • Robotic radiosurgery requires advanced treatment planning systems.
  • Sequential Optimization (SO) is a previous standard for treatment planning.
  • Evaluating novel algorithms is crucial for improving treatment delivery and outcomes.

Purpose of the Study:

  • To evaluate a novel optimization algorithm, VOLO™, for robotic radiosurgery.
  • To compare VOLO™ with the existing Sequential Optimization (SO) algorithm.
  • To assess performance across various Stereotactic Radiosurgery (SRS) and Stereotactic Body Radiation Therapy (SBRT) treatments.

Main Methods:

  • Fifty patient cases (brain, spine, prostate, lung) were re-planned using VOLO™.
  • Prescription, collimator settings, optimization shells, and blocking structures remained constant.
  • Dosimetric comparisons included target coverage, conformity index (CI), gradient index (GI), organ-at-risk (OAR) sparing, and plan complexity metrics (nodes, beams, MU, delivery time).

Main Results:

  • VOLO™ demonstrated superior target coverage (prostate, spine) and CI (brain), and better OAR sparing (brain, urethra).
  • SO showed better GI for prostate and dose fall-off for prostate/spine.
  • For IRIS-based plans, VOLO™ reduced nodes (36%), beams (14%), and MU (31%), decreasing delivery time by 20%.
  • For MLC-based plans, VOLO™ increased nodes/beams (42%) with similar MU, increasing delivery time by 18%.

Conclusions:

  • VOLO™ offers significant advantages in treatment delivery time for IRIS-based plans.
  • VOLO™ provides improved dose distribution quality for MLC-based plans.
  • The VOLO™ algorithm represents a notable advancement in robotic radiosurgery planning.