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Related Experiment Video

Updated: Aug 15, 2025

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BEAM MATCHING EVALUATION OF TWO SIMILAR LINEAR ACCELERATORS.

Soroush Sistani1, Hamidreza Babaeifar1, Daryoush Khoramian1

  • 1Department of Medical Physics, The Advocate Center for Clinical Research, Ayatollah Yasrebi Hospital, Kashan 8715973455, Iran.

Radiation Protection Dosimetry
|January 2, 2023
PubMed
Summary

Beam matching was evaluated for two Siemens Primus medical linear accelerators (Linacs). While 6 MV photon beams generally matched, 15 MV photon beams and electron beams showed discrepancies under specific gamma analysis criteria, impacting clinical applicability.

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Area of Science:

  • Medical Physics
  • Radiation Oncology

Background:

  • Accurate beam matching in medical linear accelerators (Linacs) is crucial for consistent radiation therapy delivery.
  • Siemens Primus Linacs are widely used, necessitating verification of their beam characteristics.

Purpose of the Study:

  • To assess the beam-matching consistency between two Siemens Primus Linacs for photon and electron beams.
  • To evaluate critical beam parameters including output factors, percentage depth doses, and beam profiles.

Main Methods:

  • Comparison of output factor (Sc,p), wedge factor, quality index (TPR20/10), PDD, and beam profiles for 6 and 15 MV photon beams.
  • Evaluation of output factor, PDD, and beam profiles for 5, 7, 8, 10, and 12 MeV electron beams.
  • Gamma (γ) analysis using 2 mm/2% and 3 mm/3% criteria.

Main Results:

  • 6 MV photon beams demonstrated good matching across most field sizes, with exceptions at 4x4 cm².
  • 15 MV photon beams showed PDD matching but beam profile discrepancies at larger field sizes under both γ criteria.
  • Electron beams met the 3 mm/3% γ criteria for most applicator sizes but failed the stricter 2 mm/2% criteria.

Conclusions:

  • The study highlights specific conditions where beam matching is achieved and where it deviates for Siemens Primus Linacs.
  • Deviations in beam profiles for 15 MV photons and electron beams under stringent criteria may necessitate adjustments for optimal treatment planning and delivery.