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Updated: Oct 7, 2025

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
Published on: June 7, 2015
Dynamic hybrid-phase computed tomography simulation in lung stereotactic body radiotherapy: A feasibility study
Jing-Min Hwang1, Jing-Yin Hung2, You-Kang Chang1
1Department of Radiation Oncology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan; College of Medicine, Tzu Chi University, Hualien City, Taiwan.
Dynamic hybrid-phase CT simulation is feasible for lung SBRT, offering adequate margins and fewer phases. This method accurately defines internal target volumes (ITV) and planning target volumes (PTV) for improved radiation accuracy.
Area of Science:
- Medical Imaging
- Radiation Oncology
Background:
- Lung stereotactic body radiation therapy (SBRT) requires precise tumor targeting.
- Current simulation methods may have limitations in accurately defining target volumes during patient motion.
Purpose of the Study:
- To evaluate the feasibility and accuracy of dynamic hybrid-phase computed tomography (CTDHP) simulation for lung SBRT.
- To compare CTDHP-derived target volumes with those from cone-beam CT (CBCT).
Main Methods:
- Eighteen non-small-cell lung cancer patients undergoing SBRT were scanned using CTDHP with immobilization and abdominal compression.
- Internal target volume (ITV) and planning target volume (PTV) were determined.
- Comparison metrics included Boolean "AND" function, volume overlap (VO), Dice similarity coefficient (DSC), and dose-volume histogram analysis.
Main Results:
- CTDHP demonstrated smaller average ITV and PTV compared to 3D-CBCT (p<0.001).
- High agreement was observed between CTDHP and CBCT for both ITV and PTV.
- Dose coverage analysis showed that 97.9% of ITVCBCT received 95% of the prescribed dose, with mean dose at 101.3%.
Conclusions:
- Dynamic hybrid-phase CT simulation is a feasible and effective method for lung SBRT.
- This technique provides accurate target volume delineation with potential for reduced margins.
- CTDHP offers advantages of adequate margins and fewer simulation phases.
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