SU-E-J-73: Using Surface-Based Imaging for Patient Identification
Medical Physics
|May 19, 2017
Summary
Daily surface imaging using AlignRT is feasible for reliable patient identification in radiotherapy. A 60% surface statistic threshold accurately distinguishes correct from incorrect patient identification, enhancing safety.
Area of Science:
- Medical Imaging
- Radiation Oncology
- Patient Safety
Background:
- Accurate patient identification is crucial for safe and effective radiotherapy delivery.
- Existing methods may have limitations, necessitating exploration of advanced imaging techniques.
- Surface-based imaging offers a non-invasive approach for real-time patient monitoring.
Purpose of the Study:
- To assess the feasibility of using daily surface-based imaging for reliable patient identification.
- To determine the accuracy of AlignRT for distinguishing individual patients based on surface contours.
- To evaluate the potential of this technology to improve patient safety in radiotherapy.
Main Methods:
- Three-dimensional surface images were acquired using AlignRT for 12 breast cancer patients.
- Images were compared retrospectively to computed tomography simulation (CT sim) body contours.
- Surface similarity was quantified using a 'surface statistic' tool, measuring points within a 3mm threshold.
Main Results:
- Correct patient identification showed an average surface similarity of 81.0% +/- 6.6%.
- Incorrect patient identification yielded an average surface similarity of 27.9% +/- 10.2%.
- A threshold of approximately 60% effectively separated correct from incorrect identifications in this cohort.
Conclusions:
- Daily surface-based imaging with AlignRT is a feasible method for patient identification in radiotherapy.
- A surface statistic threshold of approximately 60% demonstrates reliable accuracy.
- This technology holds potential for enhancing radiotherapy safety, warranting further investigation in larger populations.
