News | Radiation Oncology | October 23, 2020

RaySearch Presents Further Advances in Machine Learning and Support for Brachytherapy at ASTRO 2020

RaySearch Laboratories AB will demo its latest advances in oncology software at the American Society for Radiation Oncology (ASTRO) 2020 Annual Meeting

RaySearch Laboratories AB will demo its latest advances in oncology software at the American Society for Radiation Oncology (ASTRO) 2020 Annual Meeting

October 23, 2020 — RaySearch will present recent and upcoming enhancements, as well as new functionality, in RayStation and RayCare. Among the highlights in RayStation are support for brachytherapy planning and robust proton planning using machine learning. In RayCare, additional automation capabilities will be on show – such as support for scripting and enhanced workflow management tools.

Brachytherapy planning in RayStation
The upcoming release of RayStation 10B is expected in December 2020* and will add support for brachytherapy planning. This is in line with the company’s aim to support as many treatment delivery systems as possible. RayStation will feature automatic channel reconstruction in combination with powerful dwell time optimization to make the creation of high-quality brachy plans faster and more consistent.

Machine learning planning in RayStation
Machine learning capabilities were added to RayStation 8B and are being continuously improved. Their applications in RayStation increase efficiency and improve consistency, while facilitating model sharing between cancer clinics. ASTRO 2020 will see demos of machine-learning planning for photons and robust proton planning – as well as deep-learning organ segmentation.

Johan Löf, founder and CEO, RaySearch, says: “Machine learning is without doubt one of the most exciting developments within medical software right now. Harnessing the massive potential of machine learning will transform the industry and improve access to and the quality of cancer treatment.”

RayCare further promotes efficiency and safety
Released in June 2020, RayCare 4A further promotes efficiency and safety by reducing routine manual tasks and handovers. Its unique workflow management capabilities are enhanced by the introduction of task management for clinical teams. Further functionalities in RayCare 4A include support for scripting as well as automated support for running RayStation scripts from tasks with forks – as well as several new patient chart features. RayCare 4B is expected in December 2020.

Virtual demonstrations
Visitors to ASTRO 2020 will be offered the opportunity to book personal online demos of treatment planning system RayStation and oncology information system RayCare. 

Partnerships play a crucial role in the development of RayStation and on show at ASTRO 2020 will be the ways in which RaySearch is creating new levels of advanced efficiency in radiotherapy imaging and planning together with Accuray, Canon Medical and IBA.

Demos of RayStation and RayCare functionality for the TomoTherapy delivery system from Accuray will be available. RayStation includes full support for the TomoTherapy and Radixact®Systems, including advanced features such as multi-criteria optimization, adaptive planning and Plan Explorer.

Canon Medical and RaySearch are collaborating on a highly flexible and efficient workflow for virtual simulation, which complements Canon Medical’s CT, PET/CT, and MRI simulators. It can optionally be expanded with deformable registration.

IBA and RaySearch entered into a long-term strategic collaboration in 2016 to combine their respective technologies and future developments in proton therapy such as motion management, adaptive, ARC and FLASH therapy. In both RayStation and RayCare, as well as in the IBA delivery solutions, joint features, dedicated software interfaces and modified graphical user interface components facilitate close and seamless workflow integration with optimized performance. In July 2020, the first patients were treated with this common solution at Particle Center at University of Leuven in Belgium.

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