SMV expects clearance for PET/CT this summer
At this year’s Society of Nuclear Medicine meeting, imaging systems that fused PET with CT was a feature seen at a few vendor booths, including GE and SMV of Ohio. SMV displayed a combination PET/CT system called Positrace that was first seen at
At this years Society of Nuclear Medicine meeting, imaging systems that fused PET with CT was a feature seen at a few vendor booths, including GE and SMV of Ohio. SMV displayed a combination PET/CT system called Positrace that was first seen at last years RSNA meeting.
SMV anticipated that these two technologies belong together, said Lonnie Mixon, SMVs vice president of worldwide marketing.
The first Positrace system has been installed in France. SMV applied for a 510(k) for the system in May. It expects approval by the end of August.
The device uses specialized digital detectors in a hexagonal ring configuration with thick NaI crystals. Although the system looks like a single unit, the CT scanner is attached to the PET scanner on one end. The Positrace has a 50-cm axial view and a 70-cm patient aperture.
This reduces the claustrophobic sensation, Mixon said.
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?
April 11th 2025For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.
