The Food and Drug Administration cleared Toshiba America Medical Systems' coincidence detection imaging software for its Toshiba E. Cam last month, according to Lin Sinclair, product manager for the company's nuclear medicine division. Toshiba's E.Cams
The Food and Drug Administration cleared Toshiba America Medical Systems' coincidence detection imaging software for its Toshiba E. Cam last month, according to Lin Sinclair, product manager for the company's nuclear medicine division. Toshiba's E.Cams are supplied by Siemens Medical Systems, and the Hoffman Estates, IL, vendor obtained a 510(k) for its E.Cam coincidence package in October 1997. Toshiba of Tustin, CA, was required to apply for its own clearance, however, because its version of E.Cam uses Sun Microsystems UltraSparc computers, rather than the Macintosh-based Icon computers employed in Siemens E.Cams.
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.