Abstract

The use of mobile devices and applications dedicated to different medical fields has improved the quality and facilitated medical care, especially in the last 10 years. The number of applications running on the software platforms of smart phones or other smart devices is constantly growing. Radiotherapy also benefits from applications (apps) for TNM staging of cancers, for target volume delineation and toxicity management but also from radiobiological apps for calculating equivalent dose schemes for different dose fractionation regimens. In the context of the increasingly frequent use of altered fractionation schemes, the use of radiobiological models and calculations based on the linear quadratic model (LQ) becomes a necessity. We aim to evaluate free radiobiology apps for the Android software platform. Given the global educational deficit, the lack of experts and the concordance between radiobiology education and the need to use basic clinical notions of modern radiotherapy, the existence of free apps for the Android platform running on older generation processors can transform even an old smart device in a powerful “radiobiology station.” Apps for radiobiology can help the radiation oncologist and medical physicist with responsibilities in radiotherapy treatment planning in the context of accelerated adoption of hypo-fractionation regimens and calculation of the effect of treatment gaps, a topic of interest in the COVID-19 pandemic context. Radiobiology apps can also partially fill the educational gap in radiobiology by arousing the interest of young radiation oncologists to deepen the growing universe of fundamental and clinical radiobiology.

Highlights

  • The use of mobile devices and applications dedicated to different medical fields has improved the quality and facilitated medical care, especially in the last 10 years

  • Radiation oncologist evaluation: RadioModels is a complex application that includes mathematical models applied in radiation oncology

  • The application provides prognostic and predictive models of toxicity in breast, esophageal, extrahepatic cholangiocarcinoma and bile duct cancers, head and neck cancers, pancreatic cancer, rectal cancer and thyroid cancer, including the benefit of adding radiotherapy, as well as and complex radiobiological models based on the equations of linear quadratic model (LQ), Normal tissue complication probability (NTCP) and tumor control probability (TCP) based on the Lyman Kutcher Burman (LKB) model, gaps correction factors in radiation treatment, and the isodose-based morbidity and mortality assessment

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Summary

Introduction

The use of mobile devices and applications dedicated to different medical fields has improved the quality and facilitated medical care, especially in the last 10 years. The number of applications running on the software platforms of mobile phones or other smart devices is constantly growing, among the advantages of these apps being the help in clinical decisions and patient management and the improvement of medical education in the field of radiation oncology. Radiotherapy benefits from both „all in one” applications and applications dedicated to different purposes (dose calculation, clinical staging, target volume delineation, toxicity management). All applications were evaluated by a radiation oncologist with experience between 3 and 5 years using 3 smart phones with specifications: OS: Android 7.1.1 (Nougat); Qualcomm MSM8909v2 Snapdragon 212 chipset (28 nm); CPU: Quad-core 1.3 GHz Cortex-A7, OS: Android 5.0.2 (Lollipop); Chipset Exynos 7420 Octa (14 nm); CPU: Octa-core (4x2.1 GHz Cortex-A57 & 4x1.5 GHz Cortex-A53) and OS: Android 9.0 (Pie); Chipset Kirin 710F (12 nm); CPU: Octa-core (4x2.2 GHz Cortex-A73 & 4x1.7 GHz Cortex-A53) and by a medical physicist with 5 to 10 year experience in radiation oncology treatment planning, using a device with the specifications: Exinos820 - Quad-core processor (2x2.15 GHz Kryo& 2x1.6 GHz Kryo) - G9350, and a 5.5-inch Super AMOLED display

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