Analysis of the influence of tracking error of Xsight lung tracking system caused by cardiac beating / 中华放射肿瘤学杂志
Chinese Journal of Radiation Oncology
; (6): 1054-1058, 2021.
Article
Dans Zh
| WPRIM
| ID: wpr-910513
Responsable en Bibliothèque :
WPRO
ABSTRACT
Objective:
To analyze the influence of tracking error of Xsight lung tracking system caused by cardiac beating.Methods:
48 patients with lung tumors adjacent to the heart were enrolled into this study. The tumor movement curves were collected by the Xsight lung tracking system and recorded in the treatment log files during the Cyberknife treatment process. The curves were subject to filtering analysis and the respiratory motion of < 1 Hz and the cardiac beating motion of > 1 Hz were separated. According to the filtering results, the patient treatment tracking data were divided into two groups based on whether the cardiac beating wave of >1 Hz existed. The tracking errors were statistically compared between two groups based on the X-ray imaging data collected by Xsight lung tracking system during treatment.Results:
For the fractionation with cardiac beat information, the tracking errors of the patient′s related models were (1.45 ± 0.99), (0.46 ± 0.21) and (0.70 ± 0.54) mm in the left-right, superior-inferior and anterior-posterior direction, respectively. For the fractionation without cardiac beat information, the tracking errors of the patient′s related models were (1.52 ± 1.17), (0.63 ± 0.37) and (1.07 ± 0.62) mm in the left-right, superior-inferior and anterior-posterior direction, respectively. The tracking errors in the superior-inferior and anterior-posterior direction of patients with accurate cardiac beat models were 28.34% and 34.86% less than those of their counterparts without accurate cardiac beat models and there was significant difference (both P<0.05).Conclusion:
The tracking accuracy of Xsight lung tracking system will be significantly improved if the cardiac beat model is accurately established.
Texte intégral:
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Indice:
WPRIM
langue:
Zh
Texte intégral:
Chinese Journal of Radiation Oncology
Année:
2021
Type:
Article