Also frequently evaluated are gamma cameras. Systems in the dual-head angle gamma camera market segment are the most cost-friendly options in molecular imaging that symplr tracks. These molecular imaging systems capture gamma radiation emitted from radioisotopes within the body to create 2D images. Pricing has ranged from $250k to $360k for GE and Siemens systems. GE accounts for 73% of this market segment and Siemens accounts for 27%.
Spectrum Dynamics specializes in cardiac-dedicated solutions, which are seen with equal frequency to GE’s cardiac solutions. These solutions refer to single photon emission computed tomography (SPECT) systems. These systems combine multiple images taken at different angles to create a 3D image, and are at a higher price point than the dual-head gamma cameras. Pricing has ranged from $320k to $470k.
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symplr has also evaluated Nuclear Medicine CT systems by GE. These systems combine SPECT and CT technologies and can perform common stand-alone CT exams. This versatility can free up dedicated CT scanners for more complex CT exams in times of overflow. Pricing for these systems has ranged from $543k to $723k.
Research with molecular imaging continues in earnest. Early detection of disease and precision medicine are essential in improving patient outcomes, and molecular imaging has the unique advantage of evaluating physiological processes of cells in living organisms noninvasively. Research avenues for this technology include metabolic imaging and real-time monitoring of cell activity in response to disease therapies, probes for targeted imaging and treatment, and research of various contrast agents to improve obtaining data from imaging exams. The use and capabilities of this technology are expected to grow. In March 2024, the United States government recognized the importance of this technology, putting an appropriations package into law that includes consideration for increasing federal funding for further developing the technology.
About the author: Kaitlyn Wilkie, MBA, is advisor for research and analysis with symplr.
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