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Algorithm-based gantry angle range determination in volumetric modulated arc therapy for liver stereotactic body
Hideharu Miura1, Minoru Nakao1, Masanori Ochi2
1Hiroshima High-Precision Radiotherapy Cancer Center, 3-2-2 Futabanosato Higashi-ku, Hiroshima 732-0057, Japan; Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan.
An algorithm was developed to optimize gantry angles for liver cancer volumetric modulated arc therapy (VMAT) by minimizing radiation to normal liver tissue. This method matches expert planning, reduces variability, and streamlines treatment.
Area of Science:
- Radiation Oncology
- Medical Physics
- Cancer Treatment
Background:
- Volumetric Modulated Arc Therapy (VMAT) is a radiotherapy technique used for liver cancer treatment.
- Optimizing gantry angle selection in VMAT is crucial for minimizing dose to organs at risk, such as normal liver tissue.
- Current methods for gantry angle selection can be subjective and vary between treatment planners.
Purpose of the Study:
- To develop and evaluate an algorithm-based method for determining optimal gantry angle ranges in VMAT for liver cancer.
- The primary goal is to minimize the beam path length through normal liver tissue.
Main Methods:
- An algorithm was developed to calculate shortest beam paths from liver surface to target center using DICOM contours.
- Three VMAT plans were generated for 15 liver cancer patients: automated (algorithm-based), expert manual, and novice manual.
- Plans were compared based on gantry angle ranges, liver path length, dose-volume parameters, monitor units, and Jaccard similarity for angle agreement.
Main Results:
- The automated plan achieved a mean normal liver path length comparable to expert plans (35.0 mm vs. 34.6 mm) and shorter than novice plans (39.3 mm).
- Jaccard similarity coefficients showed high agreement between automated and expert plans (0.86) and good agreement with novice plans (0.80).
- Dosimetric parameters and monitor units were similar across all plan types, with no significant differences.
Conclusions:
- The algorithmic approach offers a simple, quantitative, and reproducible method for determining gantry angles in liver VMAT.
- This method effectively replicates expert planner decisions, reduces inter-planner variability, and can standardize gantry angle selection.
- The algorithm has the potential to streamline the VMAT treatment planning process for liver cancer.
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