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Updated: May 25, 2026

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Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
Published on: June 7, 2015
Active Tracking and Dynamic Dose Delivery for robotic couch in radiation therapy
Ivan Buzurovic1, Yan Yu, Tarun K Podder
1Thomas Jefferson University, Medical Physics Division, Philadelphia, PA, USA. ivan.buzurovic@jefferson.edu
Summary
Active Tracking and Dynamic Dose Delivery (ATDD) compensates for tumor motion during radiation therapy. This technique uses a robotic table to minimize healthy tissue exposure and ensure accurate tumor targeting.
Area of Science:
- Medical Physics
- Radiation Oncology
- Robotics
Background:
- Accurate radiation dose delivery is crucial in external beam radiation therapy.
- Tumor motion due to cardiac and respiratory activity complicates precise targeting in thoracic and abdominal organs.
- This motion affects treatment efficacy and increases risks to surrounding healthy tissues.
Purpose of the Study:
- To describe the Active Tracking and Dynamic Dose Delivery (ATDD) technique for real-time tumor motion compensation.
- To address challenges in radiation therapy for moving tumors in organs like the lung, liver, and prostate.
- To enhance treatment precision and minimize off-target radiation exposure.
Main Methods:
- The study details the ATDD technique, which employs a robotic treatment table that moves dynamically during radiation delivery.
- This system compensates for breathing-induced tumor motion in real-time.
- Feedforward adaptive control strategies were implemented to manage uncertainties in patient mass and breathing patterns.
Main Results:
- The ATDD technique enables real-time compensation for tumor motion during radiation therapy.
- Adaptive control minimizes irradiation of healthy tissues and spares critical organs.
- Prescribed radiation dose coverage to the target volume is maintained despite tumor movement.
Conclusions:
- The ATDD technique offers a viable solution for accurate radiation dose delivery in the presence of significant tumor motion.
- Feedforward adaptive control effectively manages system uncertainties, improving treatment safety and efficacy.
- This approach holds promise for improving outcomes in radiation oncology for mobile tumors.

