Philips unveils latest CT and MR innovations in radiation therapy, advancing precision cancer care at ASTRO 2025

Core Insights - Royal Philips is introducing innovative technologies in radiation oncology at the ASTRO 2025 Annual Meeting, including the Philips Rembra RT and Areta RT CT platforms, and the helium-free BlueSeal RT 1.5T MR system, aimed at enhancing patient-centered care and improving the efficiency of radiation therapy planning [1][6]. Group 1: CT Simulation Innovations - The new Rembra RT and Areta RT systems are designed to enhance cancer treatment planning by providing faster and more accurate imaging, with ultra-fast image reconstruction speeds of up to 106 images per second and a wide 85 cm extended field of view [3][4]. - These systems enable 91% of care teams to work more efficiently due to user-friendly touchscreen controls and advanced imaging capabilities that capture a full respiratory cycle in one scan [3][4]. Group 2: Remote Collaboration and Long-term Value - The systems facilitate remote collaboration for planning and training, allowing care teams to remain connected without the need for additional staffing, thus providing reliable long-term value to hospitals [4][5]. - Philips offers a Tube for Life Guarantee and a design that allows for 20 years of service, which helps hospitals manage costs effectively while ensuring high performance [4]. Group 3: Advancements in MR Technology - The BlueSeal RT system is a helium-free 1.5T MR system that enhances simulation confidence and reduces registration errors, crucial for protecting healthy organs during radiation therapy [6][7]. - This system supports MR-only imaging protocols that can be completed in as little as 10 minutes, improving patient comfort and overall experience [7][9]. Group 4: Industry Leadership and Future Directions - Philips has installed approximately 2,000 helium-free MR scanners worldwide, reinforcing its leadership in sustainable MR technology for radiation oncology [8][9]. - The company is collaborating with MVision AI to integrate AI-powered auto-segmentation software with its CT simulators, further enhancing the precision of radiation therapy planning [5].