FDA clears Siemens LSO hybrid camera
The nuclear medicine group of Siemens Medical Systems received Food and Drug Administration clearance last month for a version of its E.Cam gamma camera that uses hybrid PET/SPECT detectors made from lutetium oxyortho-silicate and sodium iodide
The nuclear medicine group of Siemens Medical Systems received Food and Drug Administration clearance last month for a version of its E.Cam gamma camera that uses hybrid PET/SPECT detectors made from lutetium oxyortho-silicate and sodium iodide (LSO/NaI). The Hoffman Estates, IL, division developed the hybrid system in collaboration with R&D partner CTI of Nashville. It featured the unit at last months Society of Nuclear Medicine conference in Toronto (SCAN Special Report June 1998). Siemens hopes the hybrid detectors will enable nuclear medicine physicians to image radioisotopes at both low and high energy ranges, making the camera equally suitable for either SPECT or PET studies.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).
Could Lymph Node Distribution Patterns on CT Improve Staging for Colon Cancer?
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