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Tattoo-less chest wall and regional nodal irradiation using surface imaging
Boris Mueller1, Yulin Song2, Xingchen Zhai2
1Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
The tattoo-less setup using AlignRT (ART) is more accurate than traditional tattoo-based (TTB) methods for breast cancer radiotherapy. This surface imaging approach offers comparable setup times and can potentially replace tattoos, improving patient cosmesis.
Area of Science:
- Radiation Oncology
- Medical Imaging
- Breast Cancer Treatment
Background:
- Traditional skin tattoos for radiotherapy setup can cause cosmetic issues and patient dissatisfaction.
- Advancements in surface imaging technology offer potential alternatives to tattoos.
Purpose of the Study:
- To compare the accuracy, time efficiency, and dosimetric parameters of tattoo-less setup using AlignRT (ART) versus traditional tattoo-based (TTB) techniques.
- To evaluate these methods in breast cancer patients requiring chest wall and regional nodal radiation.
Main Methods:
- A comparative study involving 49 breast cancer patients undergoing chest wall radiation.
- Patients received alternating daily setups using ART (tattoo-less) and TTB (tattoo-based).
- Setup accuracy (translational and rotational shifts) and time were recorded; dosimetry was calculated using the reverse isocenter shift technique.
Main Results:
- ART demonstrated significantly higher accuracy in translational shifts (TS) compared to TTB (p < 0.05 for all axes).
- ART also showed significantly greater accuracy in rotational shifts (RS) (p = 0.023), with no significant difference in precision for TS or RS.
- No significant differences were found in total in-room time or setup time between ART and TTB.
Conclusions:
- The tattoo-less setup with AlignRT (ART) is sufficiently accurate and efficient to potentially replace traditional tattoos for breast cancer radiotherapy.
- Further research with larger cohorts is recommended to confirm the complete replacement of tattoo-based approaches by surface imaging.
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