Publication

Benchmarking techniques for stereotactic body radiotherapy for early-stage glottic laryngeal cancer: LINAC-based non-coplanar VMAT vs. Cyberknife planning

Downloadable Content

Persistent URL
Last modified
  • 05/20/2025
Type of Material
Authors
    You Zhang, University of Texas Southwestern Medical CenterTsuicheng Chiu, University of Texas Southwestern Medical CenterJeffrey Dubas, University of Texas Southwestern Medical CenterZhen Tian, Emory UniversityPam Lee, University of Texas Southwestern Medical CenterXuejun Gu, University of Texas Southwestern Medical CenterYulong Yan, University of Texas Southwestern Medical CenterDavid Sher, University of Texas Southwestern Medical CenterRobert Timmerman, University of Texas Southwestern Medical CenterBo Zhao, University of Texas Southwestern Medical Center
Language
  • English
Date
  • 2019-11-04
Publisher
  • BMC (part of Springer Nature)
Publication Version
Copyright Statement
  • © 2019 The Author(s).
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1748-717X
Volume
  • 14
Issue
  • 1
Start Page
  • 193
End Page
  • 193
Abstract
  • Introduction: Stereotactic body radiation therapy (SBRT) was found effective in treating laryngeal cancer with only five treatment fractions by a recent clinical trial (NCT01984502, ClinicalTrials.gov). Nevertheless, this trial used the Cyberknife system, which is not widely accessible enough to benefit all patients affected by laryngeal cancer. Our study investigates the feasibility of larynx SBRT treatment planning on a conventional gantry-based LINAC and compares its plan quality with that from the Cyberknife. Materials & methods: Ten larynx SBRT cases were originally treated by Cyberknife using fixed cones in our institution, with plans created and optimized using the Monte-Carlo algorithm in the MultiPlan treatment planning system. These cases were retrospectively planned in the Eclipse planning system for a LINAC with the same prescription dose. We used volumetric modulated arc therapy (VMAT) for larynx SBRT planning in Eclipse and incorporated non-coplanar arcs to approach the Cyberknife's large solid angle delivery space. We used both anisotropic analytical algorithm (AAA) and Acuros XB (AXB) algorithm for dose calculation and compared their accuracy by measurements on an in-house larynx phantom. We compared the LINAC VMAT plans (VMAT-AAA and VMAT-AXB) with the original Cyberknife plans using dosimetric endpoints such as the conformity index, gradient indices (R50, R20), OAR maximum/mean doses, and the monitor units. Results: Phantom measurement showed that both the AAA and the AXB algorithms provided adequate dose calculation accuracy (94.7% gamma pass rate on 2%/2 mm criteria for AAA vs. 97.3% for AXB), though AXB provided better accuracy in the air cavity. The LINAC-based VMAT plans achieved similar dosimetric endpoints as the Cyberknife planning, and all plans met the larynx SBRT dosimetric constraints. Cyberknife plans achieved an average conformity index of 1.13, compared to 1.20 of VMAT-AXB and 1.19 of VMAT-AAA. The VMAT plans spared the thyroid gland better with average Dmean of 2.4 Gy (VMAT-AXB) and 2.7 Gy (VMAT-AAA), as compared to 4.3 Gy for Cyberknife plans. The VMAT-AAA plans had a slightly lower contralateral arytenoid Dmax (average: 15.2 Gy) than Cyberknife plans (average: 17.9 Gy) with statistical significance, while the contralateral arytenoid Dmax was similar between VMAT-AXB and Cyberknife plans with no statistically significant difference. Cyberknife plans offered slightly better R50 (average: 5.0) than VMAT-AXB (5.9) and VMAT-AAA (5.7) plans. The VMAT plans substantially reduced the plan MUs to less than 1/3 of the Cyberknife plans, and the differences were statistically significant. The other metrics were similar between VMAT and Cyberknife plans with no statistically significant differences. Conclusions: Gantry-based LINACs can achieve similar plan quality to Cyberknife systems. Treatment outcome with both methods remains to be investigated.
Author Notes
  • You Zhang: Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75390, USA; zhangyounju@gmail.com
Keywords
Research Categories
  • Physics, Radiation
  • Health Sciences, Oncology

Tools

Relations

In Collection:

Items