Author: Stephen D. Davis, Alonso N. Gutierrez, Noah S. Kalman, Yongsook C. Lee, Michael Leyva, Alejandro Rene Llanes Lopez, Carlos M. Rivera, Ranjini P. Tolakanahalli 👨🔬
Affiliation: Miami Cancer Institute, Baptist Health South Florida, Miami Cancer Institute, Miami Cancer Institute, Baptist Health 🌍
Purpose: Accurate treatment time calculation is a critical component of superficial radiotherapy (SRT), particularly for the SRT-100 Vision, where dose delivery depends on applicator geometry, treatment depth, and patient-specific prescriptions. Manual calculations can introduce errors and inefficiencies when integrating workflows with patient management systems. This work presents a web-based tool designed to automate treatment time calculations, visualize percentage depth dose (PDD) data, and streamline documentation processes for SRT treatments.
Methods: The python-based tool integrates with the ARIA OIS via secure connections to the Aria Access and Aria Oncology Services APIs to retrieve patient prescriptions inclusive of applicator size, treatment depth, and energy. The tool employs dose rate, PDD, and shielding correction factor tables to compute treatment times with high accuracy. The user interface, built with Flask, supports treatment time computation, interactive PDD visualization, and PDF export. The tool also allows direct upload of treatment documents to ARIA for hands-off clinical documentation.
Results: The tool calculated treatment times for SRT-100 across various depths and applicator sizes and ensured consistency with prescription data and expected treatment time results. Calculation accuracy of the tool was validated by comparing outputs with previous patient treatment calculations performed in a spreadsheet. The calculated treatment times with the tool showed excellent agreement with the spreadsheet to within the calculation precision (0.001 min). Integration with ARIA streamlined workflows by automating data retrieval and upload eliminating manual input and reducing potential errors. Clinical feedback highlighted improved workflow efficiency and reduced calculation errors.
Conclusion: This tool improves SRT-100 workflows by automating calculations, providing data visualization, and enhancing documentation efficiency. The tool increased quality in SRT by minimizing errors and increasing user confidence. Future developments will expand visualization features and integrate with additional treatment techniques such as TBI, TSE, and electron clinical treatments.