Lantheus. has been granted a patent for a method that enables secure uploading and review of medical images and metadata to a network-based analysis platform. The system features a user-friendly interface that allows medical practitioners to manage sensitive data effectively before upload. GlobalData’s report on Lantheus gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Lantheus, was a key innovation area identified from patents. Lantheus's grant share as of June 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Secure upload and analysis of medical imaging data
The patent US12032722B2 outlines a method and system for the interactive display of data from multiple medical imaging studies through a network-based analysis or decision support platform. The method involves accessing a data table that contains various study summary variables, including a prostate cancer indication. A processor facilitates the display of a graphical user interface (GUI) featuring graphical filter control elements, allowing users to select sub-ranges of values for specific study summary variables. The system then updates graphical data representations, which visually depict the distribution of values associated with the selected sub-ranges, thereby enabling users to filter and analyze medical imaging data effectively.
Additionally, the claims specify that the method can accommodate multiple graphical filter control elements, allowing for the repeated application of filters across different study summary variables. The study summary variables may include prior therapy values and prostate-specific antigen (PSA) test levels, as well as imaging modality variables such as Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT), x-ray Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and bone-scan imaging. The graphical data representations can take various forms, including bar graphs, pie charts, and histograms, providing a comprehensive visual analysis of the medical imaging studies uploaded to the platform.
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