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Congress: ECR25
Poster Number: C-27376
Type: Poster: EPOS Radiologist (educational)
Authorblock: M. De Summa1, S. Spinosa1, S. Fusaro1, V. A. Allegretti2, J. Gallico2, M. Verdile2; 1Roma/IT, 2MILAN/IT
Disclosures:
Marco De Summa: Nothing to disclose
Sandro Spinosa: Nothing to disclose
Stefania Fusaro: Nothing to disclose
Vito Augusto Allegretti: Nothing to disclose
Jessica Gallico: Nothing to disclose
Michele Verdile: Nothing to disclose
Keywords: eHealth, Experimental, PET, PET-CT, Equipment, Economics
Learning objectives Here is an expanded version of your paragraph with at least 400 words:The primary objective of this study is to evaluate the potential of the "Green Radiology" platform in optimizing energy consumption and scheduling within a high-volume PET-CT department, which conducts approximately 50 daily examinations. With the increasing demand for advanced imaging techniques, PET-CT scanners are essential tools in modern radiology, but they also consume substantial amounts of energy. The efficient management of these resources is crucial for reducing operational...
Read more Background  Materials and MethodsThis study analyzed real-time energy consumption in a high-volume PET-CT system (50 daily exams) using the Siemens Data Visualizer platform. The objective was to identify inefficiencies and develop optimization strategies based on a data-driven approach.The study followed these main steps: Data Collection: Continuous monitoring of PET-CT energy consumption. Identification of inefficiencies such as prolonged standby periods and suboptimal calibration. Optimization Strategies: Automating system power-down during idle periods. Adjusting room temperature and humidity based on occupancy levels. Scheduling high-energy procedures (e.g., whole-body scans) during low-cost energy...
Read more Findings and procedure details Forecasts suggest a 22% reduction in energy consumption, an 18% improvement in thermo-hygrometric efficiency, and a 15% cost saving by aligning high-energy procedures with low-costperiods and automating energy management.
Read more Conclusion The "Green Radiology" platform offers significant potential for improving energy efficiency,reducing costs, and supporting sustainability goals. Data-driven optimization ensuresoperational productivity while lowering environmental impact.
Read more References Siemens Healthineers. "Biograph Vision PET/CT Scanner." Siemens Healthineers USA, 2025. https://www.siemens-healthineers.com/en-us/molecular-imaging/pet-ct/biograph-vision Siemens. "Green Radiology." Siemens USA, 2022. https://www.siemens.com/us/en/industries/healthcare/siemens-smart-healthcare/green-radiology.html
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