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CT simulation in nodal positive breast cancer
E Horst1, A Schuck, C Moustakis
1Department of Radiation Oncology, University of Münster, Germany. horste@uni-muenster.de
Summary
Virtual CT simulation precisely defines tangential and lymph node fields for breast cancer radiotherapy. However, technical limitations in patient positioning necessitate a hybrid approach combining virtual and conventional simulation for accurate field matching.
Area of Science:
- Radiation Oncology
- Medical Imaging
- Radiotherapy Physics
Background:
- Accurate matching of tangential and lymph node fields is crucial in nodal positive breast cancer irradiation.
- Current techniques vary based on available equipment and clinical context.
- CT simulation of non-monoisocentric techniques requires evaluation for accuracy and reproducibility.
Purpose of the Study:
- To evaluate the accuracy and reproducibility of CT simulation for non-monoisocentric tangential and lymph node field matching in breast cancer radiotherapy.
- To compare virtually adjusted field match parameters with mathematically derived parameters.
- To analyze coordinate transfer accuracy from CT simulator to conventional simulator.
Main Methods:
- Virtual adjustment of field match parameters at CT simulation.
- Comparison of virtual parameters with mathematical calculations.
- Analysis of coordinate transfer in 25 consecutive patients undergoing conventional simulation.
- Evaluation of patient positioning limitations due to CT gantry aperture.
Main Results:
- Virtually adjusted angles for coplanar field match corresponded with calculated angles.
- Mean isocenter displacement was 5.7 mm, with a total coordinate transfer uncertainty of 6.7 mm (1 SD).
- Patient set-up limitations, particularly steep arm abduction, led to significant matchline shifts (>1.0 cm) in 32% of patients.
- Technical limitations necessitated modifications to the virtual setup.
Conclusions:
- Virtual CT simulation enables precise, graphic definition of field match parameters.
- Technical limitations, primarily patient positioning, required modifications in 32% of cases.
- A hybrid technique combining virtual parameter adjustment with conventional simulation is currently employed for optimal field alignment.