Odense University Hospital Chooses RayStation for Advanced Automation in Radiotherapy

Odense University Hospital Adopts RayStation for Enhanced Treatment Planning



In a significant move towards enhancing the quality of cancer care, Odense University Hospital (OUH), part of the South Denmark Region, has announced its decision to implement RayStation from RaySearch Laboratories. This decision aligns with OUH’s longstanding commitment to leveraging cutting-edge technology to improve treatment outcomes, particularly in the field of radiotherapy.

The radiotherapy center at OUH has built a reputation for its leadership in automated solutions that ensure patients receive high-quality treatment without unnecessary delays. By adopting RayStation, OUH aims to take automation further, streamlining the entire treatment planning process—from initial design through to finalized treatment protocols. The selection process for RayStation involved an extensive market review, during which the hospital sought a solution capable of facilitating continuous development of new automated treatment methods.

Advancing Automation in Cancer Treatment



RaySearch has remained focused on automation within its products, with RayStation offering a variety of methodologies for automated treatment planning. These include not just machine learning techniques, but also traditional automated planning algorithms. A promising feature of the upcoming RayStation version is a new algorithm designed for automated optimization, developed in collaboration with Memorial Sloan Kettering Cancer Center in the United States. This enhancement will allow the OUH team to analyze and compare various auto-planning approaches, subsequently implementing the most effective methods tailored to specific tumor types.

Henrik Robenhagen Jensen, the Chief Physicist at OUH, expressed excitement about this collaboration. He stated, “At Odense University Hospital, we are dedicated to enhancing treatment planning quality, backed by extensive research aimed at improving cancer care outcomes. This partnership with RaySearch marks a significant step forward. We believe it will not only enhance automated treatment planning but will also focus on high quality, efficiency, and the optimal use of clinical resources.”

Future Prospects and Collaboration



The CEO of RaySearch, Johan Löf, also voiced his satisfaction regarding the partnership. He highlighted that the capability for increased automation was a crucial deciding factor for OUH in choosing RayStation. “We are pleased with OUH’s commitment to automation and are confident that our system will meet their needs,” he remarked, expressing eagerness for the forthcoming collaboration.

The financial component of this agreement is noteworthy, with the total order value estimated at DKK 10.5 million, roughly equivalent to SEK 15.4 million. A substantial portion of this amount will be accounted for in revenues during the first quarter of 2025, signifying the project’s expected rapid progress.

This venture is poised to transform how OUH conducts cancer treatment planning, reinforcing the hospital’s position as a leader in integrating innovations that enhance patient care. By adopting RayStation, Odense University Hospital not only commits to advancing its own practices but also contributes to the broader field of radiotherapy, setting a benchmark in the industry.

Conclusion



The collaboration between RaySearch Laboratories and Odense University Hospital marks an exciting development in the realm of automated radiotherapy treatment planning. By continuously refining treatment strategies and improving patient outcomes, both entities symbolize a proactive approach to healthcare innovation—an essential factor in the evolving landscape of medical science. As the implementation progresses, the implications of this partnership will likely extend beyond OUH, influencing radiotherapy practices internationally and possibly reshaping the standards of cancer treatment delivery.

Topics Health)

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