RayStation demonstrations will include the latest news, such as support for fast automated replanning and automatic import of images directly followed by deep learning image segmentation. The speed of the deep learning image segmentation has been increased and a large range of new deep learning segmentation models, including head-and-neck lymph nodes, has been developed to further boost the efficiency at the clinics. Attendees can also experience a new SRS planning tool for treating multiple tumors simultaneously, which groups tumors per beam to reduce dose to healthy tissue. Within particle therapy planning, emerging technologies such as optimization based on linear energy transfer (LET) and proton arc planning will be highlighted.
RayCare is a next-generation oncology information system designed to be centered around the patient journey and provide one oncology workflow for all clinical staff caring for a patient throughout the course of treatment. At ESTRO, active oncology workflows will be showcased, as well as automation for the full patient journey to promote efficiency and streamlining of patient care throughout the
The cloud-based oncology analytics system RayIntelligence will also be demonstrated during the congress, showcasing the latest version of the system together with dashboards illustrating current and future use cases involving data from RayStation and RayCare combined with treatment outcome data.
Johan Löf, founder and CEO,
Live talks and poster presentations at ESTRO 2024
Jakob Ödén
Title: Thermoradiotherapy optimization: accounting for thermal enhancement for photon and proton therapy
Presentation time:
Title: Robust dose mapping accounting for per-organ deformations uncertainties
Presentation time:
Title: Benefits and limitations of LET optimization for carbon ion radiotherapy in sacral chordomas
Presentation time:
Jakob Ödén
Title: Beyond a constant proton RBE: Survey on clinical and research activities in
Poster number: 2230
For more information, please contact:
Johan Löf, founder and CEO,
Telephone: +46 (0) 8 510 530 00
johan.lof@raysearchlabs.com
About
About RayStation
RayStation®* is a flexible, innovative treatment planning system, chosen by many leading cancer centers worldwide. It combines unique features such as unmatched adaptive therapy capabilities, multi-criteria optimization, market-leading algorithms for treatment plan optimization for HDR brachytherapy and external beam therapy with photons, electrons, and protons, as well as helium and carbon ions. RayStation supports a wide range of treatment machines, providing one control center for all treatment planning needs and ensuring centers get greater value from existing equipment. RayStation also seamlessly integrates with RayCare®*. By harmonizing the treatment planning, the care of cancer patients worldwide is improved.
About RayCare
The RayCare®* oncology information system (OIS) is designed to support the many complex logistical challenges faced by today's oncology clinics. RayCare is closely integrated with RayStation®* and provides seamless access to all the powerful planning tools in RayStation and RayCommand®. The system efficiently coordinates activities in radiation therapy and offers advanced features for clinical workflow automation, and adaptive radiation therapy. RayCare responds to the demand from clinics for a more user-friendly and workflow-oriented information system that can support the cancer care of the future.
About RayIntelligence
Data-driven oncology represents a new era in healthcare. RayIntelligence® is an innovative cloud-based oncology analytics system that gives meaning to data, empowering cancer centers to reach new levels of personalized care through insights based on clinical data.
* Subject to regulatory clearance in some markets.
https://news.cision.com/raysearch-laboratories/r/raysearch-to-present-the-latest-advances-in-raystation--raycare-and-rayintelligence-at-estro-2024,c3971994
https://mb.cision.com/Main/1102/3971994/2773872.pdf
https://news.cision.com/raysearch-laboratories/i/estro2024-pr-some-2,c3296020
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