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Performance of Makerless Tracking for Gimbaled Dynamic Tumor Tracking
Marc Ziegler1, Sebastian Lettmaier1, Rainer Fietkau1
1Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsstraße 27, 91054, Erlangen, Germany.
Zeitschrift Fur Medizinische Physik
|November 30, 2019
Summary
The new markerless dynamic tumor tracking (MLDTT) method on the Vero 4DRT system demonstrates accuracy comparable to marker-based approaches. This advanced MLDTT technology enables successful patient treatments with efficient workflow.
Area of Science:
- Medical Physics
- Radiation Oncology
- Image-Guided Therapy
Background:
- The Vero 4DRT system has introduced a new markerless dynamic tumor tracking (MLDTT) method.
- Accurate tumor tracking is crucial for effective radiation therapy, especially for moving targets.
Purpose of the Study:
- To report the workflow and assess the accuracy of the novel markerless dynamic tumor tracking (MLDTT) method.
- Evaluate the performance of the MLDTT feature integrated with the ExacTrac 3.6.1 software on the Vero 4DRT system.
Main Methods:
- Phantom measurements using a QA tool and a patient breathing curve to simulate motion.
- Comparison of MLDTT-detected target positions against defined positions.
- Log-file analysis of treatment data from eight patients treated with MLDTT.
Main Results:
- MLDTT detection accuracy achieved was 0.12mm ± 0.12mm (x-axis), 0.12mm ± 0.11mm (y-axis), and 0.20mm ± 0.21mm (z-axis).
- Treatment accuracy is comparable to marker-based dynamic tumor tracking (DTT) on the Vero system and reported values for CyberKnife's XSight Lung.
- Median treatment time was 21 minutes and 34 seconds, with 175kV images used for motion monitoring.
Conclusions:
- The MLDTT algorithm offers accuracy comparable to marker-based methods and other leading systems.
- Successful treatment of eight patients using MLDTT confirms its clinical applicability.
- Treatment durations with MLDTT are similar to standard DTT procedures, indicating workflow efficiency.

