Clinical implementation of an automated VMAT treatment planning script for head and neck cancer patients: three-year experience - Summary - MDSpire

Clinical implementation of an automated VMAT treatment planning script for head and neck cancer patients: three-year experience

  • By

  • Nataliya Kovalchuk

  • Peng Dong

  • Caressa Hui

  • Ignacio Romero

  • Ziyi Wang

  • Lina Shah

  • Raveena Pandya

  • Michael Xiang

  • Everett J. Moding

  • Michael F. Gensheimer

  • Beth M. Beadle

  • Quynh-Thu Le

  • Lei Xing

  • Yong Yang

  • July 3, 2026

  • 0 min

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Objective:

To assess the impact of implementing an in-house automated volumetric modulated arc therapy (VMAT) planning script for patients with head and neck (HN) cancer.

Approach:
  • Implementation and Validation: The automated planning script was implemented in April 2020. Validation involved comparing 10 auto-plans with 10 manual plans for dosimetric indices and clinical acceptability reviewed by five radiation oncologists.
  • Clinical Evaluation: Dosimetric indices from 1000 HN patients treated between 2017 and 2023 (500 manual pre-implementation, 500 automated post-implementation) were compared using t-tests.
Key Findings:
  • In validation, auto-plans maintained PTV D95% coverage (107.4% vs 107.3%) and similar global Dmax while reducing maximum doses to critical structures: brainstem (-5.1 Gy, p < 0.03) and spinal cord (-2.9 Gy, p < 0.03).
  • In clinical evaluation, auto-plans achieved PTV D95% coverage and similar global Dmax, with significant reductions in doses to various organs at risk: brainstem (-3.6 Gy, p < 0.001), spinal cord (-2.1 Gy, p < 0.001), contralateral submandibular gland (-4.1 Gy, p < 0.04), ipsilateral parotid (-3.9 Gy, p < 0.04), oral cavity (-2.5 Gy, p < 0.04), cochleae (-2.4 Gy, p < 0.04), larynx (-2.0 Gy, p < 0.04), contralateral parotid (-1.5 Gy, p < 0.04), and maximum doses to the mandible (-2.9 Gy, p < 0.04) and lips (-2.3 Gy, p < 0.04).
  • 94% of automated plans and 86% of manual plans were rated clinically acceptable, with a preference for 7 auto-plans.
Interpretation:

Automated planning improved organ-at-risk sparing without compromising target coverage or dose homogeneity, with high clinical acceptability.

Limitations:
  • The study is limited to a single institution's experience, which may affect the generalizability of the findings.
  • Long-term impacts beyond three years were not assessed.
Conclusion:

Automated planning demonstrated significant benefits in dosimetric outcomes for patients with head and neck cancer.

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