by
Gus Iversen, Editor in Chief | June 27, 2025
GE HealthCare is expanding its theranostics portfolio with the introduction of new imaging and software technologies aimed at reducing workflow burdens and supporting personalized cancer care.
At the Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting in New Orleans, the Chicago-based company unveiled LesionID Pro, a software application from its MIM Software division that automates preprocessing for whole-body tumor burden analysis. The tool is designed to eliminate the need for manual segmentation, potentially reducing the time physicians spend registering images and removing normal physiological uptake.
The update is part of GE HealthCare’s broader push into AI-assisted molecular imaging and theranostics, a clinical approach that combines diagnostic imaging and targeted radiopharmaceutical therapies. Molecular imaging modalities like PET and SPECT form the backbone of this approach, enabling clinicians to assess disease burden and monitor treatment response more precisely.
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“Precision care is the future of oncology, and theranostics is at the heart of that future,” said Dr. Shyam Srinivas, chief of nuclear medicine and associate clinical professor at the University of California, Irvine. “These advancements are not only helping enhance diagnostic accuracy and therapy monitoring but are also opening the door to dosimetry.”
Other technologies on display at SNMMI include the MINItrace Magni, a compact cyclotron for in-house PET tracer and radiometal production; the Omni Legend PET/CT system, which enables low-dose imaging; and the StarGuide SPECT/CT system, optimized for lesion tracking and rapid scans. GE HealthCare also introduced the Aurora dual-head SPECT/CT system and the Theranostics Pathway Manager Tile, a workflow management tool integrated into its Command Center software. Oregon Health & Science University will pilot the new pathway tool.
Together, these tools reflect the company's efforts to offer an end-to-end ecosystem for theranostics—from isotope production to clinical decision-making.
