Compare Elements Spine SRS vs. MIRIO in 2026

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Description

Brainlab's Elements Spine Stereotactic Radiosurgery (SRS) represents a cutting-edge software solution aimed at refining the management of spinal metastases. This innovative workflow features automation at each phase, encompassing anatomical mapping, curvature adjustments, and target identification, which guarantees precision and uniformity down to submillimetric levels. A distinctive algorithm addresses variations in spinal curvature, thereby improving the accuracy of image fusion. The software employs automatic segmentation of spinal anatomy through a patented synthetic tissue model that effectively identifies and labels different spine levels for accurate dose calculations. Tools for outlining spinal tumors are included for Gross Tumor Volume (GTV) contouring, along with automatic suggestions for the Clinical Target Volume (CTV) and a cropped spinal canal object in alignment with International Spine Consortium Guidelines. Furthermore, the integration of AI-driven contouring solutions allows for the swift and dependable delineation of over 200 structures, including lymph nodes. This advancement not only streamlines the treatment process but also enhances overall patient outcomes in spinal cancer management.

Description

Deeplink Medical has centered its offerings around the MIRIO platform, which is designed to cater to the varying use cases and requirements of stakeholders engaged in medical imaging within oncology, both in clinical settings and routine practice. Our services encompass three distinct yet interconnected solutions: MIRIO, which tracks evaluations of solid tumors and monitors the therapeutic responses of oncology patients; a streamlined patient pathway that bridges hospital facilities with private medical practices; and an Imaging CRO dedicated to the oversight of imaging data in oncological clinical trials. The development of our innovative solutions is bolstered by a scientific board, ensuring a robust foundation for our offerings. Additionally, our collaborative workflow platform organizes imaging data and radiological assessments for patients with solid tumors, facilitating real-time data structuration in accordance with RECIST 1.1 and iRECIST guidelines right from the moment the data is generated at investigation sites. This enables immediate evaluation of treatment responses based on established international standards, ultimately enhancing the quality and efficiency of patient care in oncology. By integrating these services, we aim to provide a comprehensive approach that supports healthcare professionals in delivering optimal treatment outcomes.