Literature DB >> 34416743

Comparison of modeling accuracy between Radixact®and CyberKnife®Synchrony®respiratory tracking system.

B Yang1, K K Tang1, H Geng1, W W Lam1, Y S Wong1, C Y Huang1, T L Chiu1, C W Kong1, C W Cheung1, K Y Cheung1, S K Yu1.   

Abstract

Synchrony Respiratory Tracking system adapted from CyberKnife has been introduced in Radixact to compensate the tumor motion caused by respiration. This study aims to compare the modeling accuracy of the Synchrony system between Radixact and CyberKnife. Two Synchrony plans based on fiducial phantoms were created for CyberKnife and Radixact, respectively. Different respiratory motion traces were used to drive a motion platform to move along the superoinferior and left-right direction. The cycle time and the amplitude of target/surrogate motion of one selected motion trace were scaled to investigate the dependence of modeling accuracy on the motion characteristic. The predicted target position, the correlation error, potential difference (Radixact only) and standard error (CyberKnife only) were extracted from raw data or log files of the two systems. The modeling accuracy was evaluated by calculating the root-mean-square (RMS) error between the predicted target positions and the input motion trace. A threshold T95 within which 95% of the potential difference or the standard error lay was defined and evaluated. Except for the motion trace with a small amplitude and a good (linear) correlation between target and surrogate motion, Radixact showed smaller RMS errors than CyberKnife. The RMS error of both systems increased with the motion amplitude and showed a decreasing trend with the increasing cycle time. No correlation was found between the RMS error and the amplitude of surrogate motion. T95 could be a good estimator of modeling accuracy for CyberKnife rather than Radixact. The correlation error defined in Radixact were largely affected by the number of fiducial markers and the setup error. In general, the modeling accuracy of the Radixact Synchrony system is better than that of the CyberKnife Synchrony system under unfavorable conditions.
© 2021 IOP Publishing Ltd.

Entities:  

Keywords:  CyberKnife; Radixact; Synchrony; log file; modeling accuracy

Mesh:

Year:  2021        PMID: 34416743     DOI: 10.1088/2057-1976/ac1fa5

Source DB:  PubMed          Journal:  Biomed Phys Eng Express        ISSN: 2057-1976


  2 in total

1.  Technical note: Tracking target/chest relationship changes during motion-synchronized tomotherapy treatments.

Authors:  William S Ferris; Wesley S Culberson; John E Bayouth
Journal:  Med Phys       Date:  2022-04-20       Impact factor: 4.506

2.  Target margin design through analyzing a large cohort of clinical log data in the cyberknife system.

Authors:  Payam Samadi Miandoab; Shahyar Saramad; Saeed Setayeshi
Journal:  J Appl Clin Med Phys       Date:  2022-01-19       Impact factor: 2.102

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.