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Peer-reviewedCC BYPrecision radiation oncology

Implementation and preliminary evaluation of a practical digital workflow for routine laser-radiation field coincidence quality assurance on the CyberKnife M6.

  1. 1National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen China.
  2. 2School of Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan China.

Abstract

Purpose

To implement and preliminarily evaluate a practical digital acquisition-and-analysis workflow for routine laser-radiation field coincidence quality assurance (QA) on the CyberKnife M6 by integrating multileaf collimator (MLC) QA tool-based laser reference definition, QA StereoChecker (QASC)-based external digital image acquisition, and automated analysis with CKQA, an in-house CyberKnife QA software, and to compare this workflow with clinically realistic film-based alternatives.Methods

Methods a and b were film-based measurements performed at the perch position. Method a used manual laser marking on film, whereas method b used the central metal marker of the MLC QA tool to define the laser reference. Method c used QASC as an external digital image-acquisition platform in combination with the MLC QA tool, and method d used film on the same QASC-based setup as a control. All methods were tested with 10 fixed collimators (5-40 mm). Images were analyzed using ImageJ and CKQA. Mean deviation, standard deviation, root mean square error (RMSE), and pairwise two-sided exact Wilcoxon signed-rank tests were used for exploratory comparisons.Results

All evaluated workflows achieved submillimeter mean deviations. Across both analysis approaches, the mean deviation ranked consistently in descending order: method a > method b > method d > method c. Under the present experimental conditions, method c yielded the lowest mean deviation and RMSE (0.116 mm and 0.155 mm with CKQA), whereas method a showed the largest deviations. Dataset-level exact Wilcoxon signed-rank tests showed that several comparisons involving method a were statistically significant, but statistically significant differences were not uniform across both ImageJ- and CKQA-based comparisons. For comparisons between analysis methods within each workflow, CKQA and ImageJ were not significantly different for methods a and b, whereas CKQA yielded significantly lower deviations than ImageJ for methods c and d (p < 0.05).Conclusions

Laser-radiation field coincidence testing is an established CyberKnife QA procedure. The present study implemented and preliminarily evaluated a practical digital acquisition-and-analysis workflow for this routine task. The workflow combining MLC QA tool-based laser reference definition, QASC-based external digital image acquisition, and automated CKQA analysis provided a standardized and less operator-dependent procedure under the present experimental conditions. Its main value lies in reducing manual marking, film handling, scanning, and subjective image-analysis steps rather than in introducing a new physical measurement principle. In centers where QASC is not available, the film-based workflow using the MLC QA tool (method b) may serve as a practical alternative.

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BibTeX
@article{hu2026implementation,
  title = {{Implementation and preliminary evaluation of a practical digital workflow for routine laser-radiation field coincidence quality assurance on the CyberKnife M6.}},
  author = {Linzheng Hu and Yongkang Zhao and Chunling Zheng and Jiajun Cai and Yajun Jia and Yi Tao and Yikun Liu and Yin Zhang and Zhitao Dai},
  journal = {Precision radiation oncology},
  year = {2026},
  month = oct,
  doi = {10.1002/pro6.70103},
  url = {https://europepmc.org/article/MED/42927071},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Implementation and preliminary evaluation of a practical digital workflow for routine laser-radiation field coincidence quality assurance on the CyberKnife M6.
AU  - Linzheng Hu
AU  - Yongkang Zhao
AU  - Chunling Zheng
AU  - Jiajun Cai
AU  - Yajun Jia
AU  - Yi Tao
AU  - Yikun Liu
AU  - Yin Zhang
AU  - Zhitao Dai
PY  - 2026
DA  - 2026/10/24
JO  - Precision radiation oncology
DO  - 10.1002/pro6.70103
UR  - https://europepmc.org/article/MED/42927071
AB  - Purpose  To implement and preliminarily evaluate a practical digital acquisition-and-analysis workflow for routine laser-radiation field coincidence quality assurance (QA) on the CyberKnife M6 by integrating multileaf collimator (MLC) QA tool-based laser reference definition, QA StereoChecker (QASC)-based external digital image acquisition, and automated analysis with CKQA, an in-house CyberKnife QA software, and to compare this workflow with clinically realistic film-based alternatives.Methods  Methods a and b were film-based measurements performed at the perch position. Method a used manual laser marking on film, whereas method b used the central metal marker of the MLC QA tool to define the laser reference. Method c used QASC as an external digital image-acquisition platform in combination with the MLC QA tool, and method d used film on the same QASC-based setup as a control. All methods were tested with 10 fixed collimators (5-40 mm). Images were analyzed using ImageJ and CKQA. Mean deviation, standard deviation, root mean square error (RMSE), and pairwise two-sided exact Wilcoxon signed-rank tests were used for exploratory comparisons.Results  All evaluated workflows achieved submillimeter mean deviations. Across both analysis approaches, the mean deviation ranked consistently in descending order: method a > method b > method d > method c. Under the present experimental conditions, method c yielded the lowest mean deviation and RMSE (0.116 mm and 0.155 mm with CKQA), whereas method a showed the largest deviations. Dataset-level exact Wilcoxon signed-rank tests showed that several comparisons involving method a were statistically significant, but statistically significant differences were not uniform across both ImageJ- and CKQA-based comparisons. For comparisons between analysis methods within each workflow, CKQA and ImageJ were not significantly different for methods a and b, whereas CKQA yielded significantly lower deviations than ImageJ for methods c and d (p < 0.05).Conclusions  Laser-radiation field coincidence testing is an established CyberKnife QA procedure. The present study implemented and preliminarily evaluated a practical digital acquisition-and-analysis workflow for this routine task. The workflow combining MLC QA tool-based laser reference definition, QASC-based external digital image acquisition, and automated CKQA analysis provided a standardized and less operator-dependent procedure under the present experimental conditions. Its main value lies in reducing manual marking, film handling, scanning, and subjective image-analysis steps rather than in introducing a new physical measurement principle. In centers where QASC is not available, the film-based workflow using the MLC QA tool (method b) may serve as a practical alternative.
SN  - 2398-7324
ER  -