GE HealthCare drives innovation in theranostics with latest technological advances

At this year’s Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, GE HealthCare is spotlighting the future of precision care with its innovative portfolio of theranostics-enabling solutions designed to help drive clinical and operational excellence. Making its debut, GE HealthCare’s MIM Software introduces LesionID Pro with automated zero-click pre-processingⁱ – an AI-powered innovation to help aid physician decision making and therapy response monitoring.

With cancer accounting for over 10 million deaths globally each year,ⁱⁱ the rise of precision care – particularly theranostics – is offering new hope to patients. By combining advanced diagnostic imaging and radiopharmaceuticals with targeted therapies, theranostics enables a personalized, patient-centric approach that may help improve disease detection, treatment accuracy, and overall quality of life.

“Precision care is the future of oncology—and theranostics is at the heart of that future. The integration of advanced imaging and AI-powered software is accelerating the adoption of theranostics in clinical practice,” shares Shyam Srinivas, MD, PhD, Chief of Nuclear Medicine, Associate Clinical Professor, Department of Radiological Sciences, University of California, Irvine. “With tools like GE HealthCare’s Omni Legend, StarGuide, and MIM software at our disposal, we now have the ability to visualize disease with great clarity, quantify tumor burden efficiently, and make fast, informed decisions. These advancements are not only helping enhance diagnostic accuracy and therapy monitoring but are also opening the door to dosimetry—ultimately helping improve outcomes for our patients. This is precision care in action, and it’s making a real difference in patients’ lives.”

Central to the practice of theranostics is molecular imaging, such as positron emission tomography (PET) and single photon emission computed tomography (SPECT), which provides detailed, patient-specific insights to guide and monitor treatment. However, accessing these insights – like whole-body tumor burden, which represents the total amount of cancer is in the body – has traditionally required time-consuming manual analysis, resulting in clinical and operational challenges.

In response, GE HealthCare’s MIM Software is introducing LesionID Pro with automated zero-click pre-processing,ⁱ designed with AI-powered automation to help physicians access reliable whole-body tumor burden statistics without having to spend hours manually segmenting lesions, removing normal physiologic uptake, and registering multiple patient images for comparison.