RaySearch Laboratories has released RayStation v2025, the latest version of its treatment planning system, adding new automation features and broader support for upright radiation therapy.

The Stockholm-based company said the update fully integrates the ECHO auto-planning algorithm, originally developed by Memorial Sloan Kettering Cancer Center, which optimizes treatment plans based on predefined clinical protocols. RaySearch noted that the ECHO integration reduces the time required to generate plans and has already been used in clinical settings through a scripting interface.

RayStation v2025 also includes three new deep learning models: one designed for brain tumor patients undergoing proton therapy and two for photon therapy — one focused on locoregional treatment of breast cancer, including lymph nodes, and another for oropharyngeal cancers.
The updated Plan Explorer module enables the automatic creation of multiple treatment plans based on different parameters, allowing clinicians to compare options efficiently. According to RaySearch, the module helps streamline workflows and facilitates more extensive plan evaluations.

“We remain committed to automate as much as possible of the treatment planning process,” said Johan Löf, founder and CEO of RaySearch. “With the Plan Explorer module, we integrate the possibility to automatically create many candidate treatment plans to allow the physician to choose the most suitable treatment for a patient, given the available machines.”

The new version adds support for treatment planning using the Leo Cancer Care upright patient positioning system, which positions patients in standing or seated postures during therapy delivery. RaySearch highlighted that upright treatments may reduce facility costs by minimizing room size requirements and can offer comfort benefits for certain patient groups. The company also noted potential clinical advantages, such as increased lung volume in upright positions for lung cancer patients.

Additionally, RayStation v2025 introduces RayStation Ablation, a tool set for guiding liver ablation procedures. The application combines imaging and advanced algorithms to assist in precisely targeting liver tumors with thermal ablation, aiming to limit damage to healthy tissue.

Other enhancements in the release include expanded deep learning segmentation models — now totaling 201 — improvements in brachytherapy planning workflows, collision control for standard linear accelerators in partnership with Vision RT's MapRT system, and updated dose computation capabilities for MR linear accelerators.

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