ArticleJournal of applied clinical medical physics2022
Dosimetric impact of phase shifts on Radixact Synchrony tracking system with patient-specific breathing patterns.
Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Retrospective log-based quality assurance of real-time MLC adaptation on a helical tomotherapy platform.Journal of applied clinical medical physics · 2026Article
- Commissioning and clinical implementation of an MLC tracking system: An evaluation of AAPM TG-264 guidelines.Journal of applied clinical medical physics · 2026Article
- Markerless tumor tracking for lung SBRT with the Radixact Synchrony system: Initial experience and short-term clinical outcomes.Journal of applied clinical medical physics · 2025Article
- Impact of four-dimensional computed tomography phase number on target coverage of four-dimensional robustly optimized lung stereotactic body radiotherapy.Scientific reports · 2025Article
- Anatomically informed deep learning framework for generating fast, low-dose synthetic CBCT for prostate radiotherapy.Scientific reports · 2025Article
- Commissioning Tests of Radixact Synchrony Using Patient-Specific 3D-Printed Lung Phantom Inserts.Cureus · 2025Article
- A dosimetric comparison of helical tomotherapy treatment delivery with real-time adaption and no motion correction.Physics and imaging in radiation oncology · 2025Article
- Validation of SRS MapCHECK for CyberKnife patient-specific quality assurance: challenges with small cone sizes.Frontiers in oncology · 2025Article
- Dosimetric impact of phase shifts on Radixact Synchrony tracking system with patient-specific breathing patterns.Journal of applied clinical medical physics · 2022Article
- Dosimetric Evaluation of CyberKnife Synchrony System for Liver Tumors With Respiratory Phase Shifts.In vivo (Athens, Greece)Article
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5 authors.
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Abstract
purposeThe Synchrony tracking system of Radixact is capable of real-time tumor tracking by building a correlation model between external light-emitting diodes on the patient's chest and an internal marker. A phase shift between the chest wall and a lung tumor has been reported. Hence, this study focused on evaluating the accuracy of the tracking system, especially under a patient-specific breathing pattern with respiratory phase shifts.
methodsA phantom containing fiducial markers was placed on a moving platform. The intrinsic delivery accuracy was verified with a patient-specific breathing pattern. Three patient-specific breathing patterns were then implemented, for which phase shifts, φ, were introduced. Phase shifts with +0.3 s and +1 s were tested for dosimetric aspects, whereas ±0.3, ±0.6, and ±0.8 s shifts were used for tracking accuracy. The resultant dose distributions were analyzed by γ comparison. Dose profiles in the superior-inferior and lateral directions were compared. Logfiles of the tracking information were extracted from the system and compared with the input breathing pattern. The root mean square (RMS) difference was used to quantify the consistency.
resultsWhen the φ value was as large as 1 s, a severe inconsistency was observed. The target was significantly underdosed, down to 89% of the originally planned dose. γ analysis revealed that the failed portion was concentrated in the target region. The RMS of the tracking difference was close to 1 mm when φ was ±0.3 s and approximately 4 mm when φ was ±0.8 s. Tracking errors increased with an increase in the degree of phase shifts.
conclusionPhase shifts between the patient chest wall and the internal target may hamper treatment delivery and jeopardize treatment using Synchrony Tracking. Hence, a larger planning target volume (PTV) may be necessary if a large phase shift is observed in a patient, especially when an external surrogate shows a lag in motion when compared with the tumor.
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