Patient Cranial Angle and Intrafractional Stability in CyberKnife Robotic Radiosurgery: A Retrospective Analysis.
Chen-Lin KangYa-Yu HuangYi-Ren ChenShu-Huei TsaiChun Chieh HuangYu-Jie HuangPublished in: Technology in cancer research & treatment (2024)
Purpose: The aim of this study was to investigate whether variations in cranial angles and treatment accuracy during CyberKnife robotic radiosurgery necessitate adjustment of the margins of the planning target volume. Patients and Methods: Data from 66 patients receiving CyberKnife treatment for brain tumors were retrospectively analyzed. Patients were immobilized using a thermoplastic mask and headrest. The cranial angle was measured on planning CT and patients were divided into 2 groups: ≤10° (Group A) and >10° (Group B). Intrafractional motion was recorded using the CyberKnife tracking system over 50 min. Translational and rotational errors were compared between groups, and planning target volume margins were calculated. Results: In Group A, significant translational error differences were found along with the X-axis over time ( P < .02). In Group B, significant differences occurred along with the Z-axis ( P < .03). No significant rotational or 3-dimensional vector differences were found in either group. Group A had significantly lower Y-axis ( P < .045) and roll axis ( P < .005) errors compared to Group B. Estimated planning target volume margins in Group A were 0.56 mm (X), 0.46 mm (Y), and 0.47 mm (Z). In Group B, margins were 0.62 mm (X), 0.48 mm (Y), and 0.46 mm (Z). Margins covering 95% of intrafraction motion were 0.49 to 0.50 mm (X, Y, Z) and 0.69 mm (3-dimensional vector) for Group A, and 0.48 to 0.60 mm and 0.79 mm for Group B. With a 1-mm margin, complete coverage was achieved in Group A while 2.1% of vectors in Group B exceeded 1 mm. Conclusion: Adjusting cranial angle to ≤10° during thermoplastic mask molding provided better or similar intrafractional stability compared to >10°.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- computed tomography
- high resolution
- emergency department
- patient safety
- minimally invasive
- patient reported outcomes
- deep learning
- case report
- mass spectrometry
- positron emission tomography
- artificial intelligence
- high speed
- replacement therapy
- positive airway pressure
- combination therapy
- pet ct
- image quality
- dual energy