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SU-E-J-140: Initial Clinical Assessment of a Gimbaled Linac Tumor Tracking System in a Patient Simulation Study
Medical Physics
|May 19, 2017
Summary
This study evaluated the BrainLab/MHI Vero dynamic tumor tracking system, finding a mean absolute tracking error of 1.1 mm. The system demonstrated adequate performance for clinical implementation in lung and liver cancer treatments.
Area of Science:
- Medical Physics
- Radiation Oncology
- Image-Guided Therapy
Background:
- Dynamic tumor tracking is crucial for accurate radiation delivery to moving targets.
- The BrainLab/MHI Vero system integrates linac-MLC with gimbals for real-time tumor motion compensation.
- kV imaging systems enable simultaneous X-ray acquisition for correlation modeling.
Purpose of the Study:
- To evaluate the workflow and quantify the performance of the BrainLab/MHI Vero dynamic tumor tracking system in simulated clinical scenarios.
- To assess the accuracy and efficiency of the Vero system for tracking moving tumors during radiotherapy.
Main Methods:
- A simulation study was performed on 5 lung-liver patients.
- Tumor motion was quantified using Visicoil gold markers.
- The workflow included patient positioning, motion acquisition, fiducial marker detection, correlation modeling, and tracking.
- Tracking error was calculated from gimbals log-files and monitoring X-rays.
- Imaging dose was measured using thermoluminescent dosimeters (TLD).
Main Results:
- The mean absolute tracking error was 1.1 mm, with a 90% percentile of 2.1 mm.
- Imaging for correlation model building resulted in 17.6 mGy skin dose.
- An additional maximal exposure of 28.8 mGy was estimated for 1 Hz X-ray monitoring during treatment.
- Average patient setup time to first MV beam-on was 9 minutes.
- Time from modeling image acquisition to beam-on was 3 minutes.
Conclusions:
- The clinical version of the Vero tumor tracking system, with automatic fiducial marker detection, is functional.
- The system's performance is adequate for progression to final commissioning and patient treatments.
- This study supports the clinical utility of advanced dynamic tumor tracking in radiation oncology.

