Related Experiment Video
Updated: May 26, 2026
08:34
Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
A method for deriving a 4D-interpolated balanced planning target for mobile tumor radiotherapy
Teboh Roland1, Russell Hales, Todd McNutt
1Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA. troland1@jhmi.edu
Medical Physics
|January 10, 2012
Summary
This study introduces a new 4D planning target approach for lung cancer radiotherapy, improving normal tissue sparing without compromising tumor coverage. The method balances tumor coverage and healthy tissue protection for better patient outcomes.
Area of Science:
- Radiation Oncology
- Medical Imaging
- Computational Biology
Background:
- Radiotherapy outcomes depend on precise tumor and normal tissue dose delivery.
- Stereotactic body radiation therapy for lung cancer uses high doses and steep gradients, demanding accurate target definition.
- Current internal target volume (ITV) methods ensure tumor coverage but increase normal tissue dose.
Purpose of the Study:
- To develop an interpolated balanced planning target volume for lung cancer radiotherapy.
- To balance tumor coverage with normal tissue sparing from high doses.
- To improve upon the conventional ITV approach in 4D radiotherapy planning.
Main Methods:
- Utilized 4D deformable image registration to define bounding targets (4D-intersection and 4D-composite).
- Developed an "effective overlap volume histogram" to derive the "interpolated balanced planning target".
- Performed 4D treatment planning on five lung cancer patients, comparing the new target with the conventional ITV approach.
Main Results:
- The new planning target achieved comparable tumor coverage to the ITV approach.
- Significant reductions were observed in lung V(10) (6.3%), V(20) (10.6%), V(30) (12.9%), mean lung dose (8.8%), mean GTV-ring dose (7.2%), and mean heart dose (10.6%).
Conclusions:
- A novel, systematic 4D-interpolated balanced planning target volume was developed.
- This approach accounts for respiratory motion without needing 4D-dose computation.
- Preliminary results suggest improved normal tissue sparing in lung cancer patients without sacrificing tumor coverage.
