Development of a Phone App for Daily Robotic Radiosurgery Quality Assurance



Abstract

Objectives: Daily QA of a robotic radiosurgery linac can be tedious due to the time consuming scanning of radiochromic films and consequent analysis. We developped a phone app to scan and analyze the radiochromic film and analyze the results, maximizing convenience while minimizing the time required to process and analyze the daily QA films.

Methods: A phone app was written in React Native, Javascript, and HTML. It was compiled for both Android and Apple iOS platforms. Tests were run on a M6 CyberKnife robotic radiosurgery linac, and films analyzed using a Google Pixel 6 and a Samsung Galaxy S10. The results were analyzed and compated to the existing manufacturer's software.

Results: The app produced results consistent with the manufacturer's software within 0.35 mm for all 3 collimators. The variance was similar to the manufacturer's software (0.35 mm).

Conclusion(s): The use of a phone app in lieu of a professional scanner was shown to produce similar results. Inter-phone variability is being analyzed to see how much of an impact different phones and platforms can have on results.

Related content

abstract
non-peer-reviewed

Development of a Phone App for Daily Robotic Radiosurgery Quality Assurance


Author Information

George D. Cernica Corresponding Author

Radiation Oncology, Inova, Fairfax, USA

Parvinder Singh

CTO, Banana Medical Technologies, Punjab, IND

Alzhan Anuarov

Co-founder, Banana Medical Technologies, New York, USA


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