Imation last week began commercial shipments of DryView 8300,the 8 x 10 version of its DryView dry-process laser printing technology.DryView 8300 is targeted at nuclear medicine, ultrasound, andsmall-format applications. Imation last month marked the
Imation last week began commercial shipments of DryView 8300,the 8 x 10 version of its DryView dry-process laser printing technology.DryView 8300 is targeted at nuclear medicine, ultrasound, andsmall-format applications.
Imation last month marked the 1000th installation of its 14x 17 DryView printer, DryView 8700. Imation donated the 1000thDryView 8700 to the Mayo Clinic Foundation in Rochester, MN. Asof October, Imation had sold 1500 DryView printers.
In other DryView news, Imation is planning to release an 11x 14 version of DryView. The new printer, to be called DryView8500, will be targeted at computed radiography applications, aswell as international markets, according to the company.
Imation last week released financial results for its thirdquarter (end-September) that indicated strong profit growth. Imationposted a profit of $11.8 million on revenues of $559.3 million.Revenues were up 2.4% compared with the same period last yearfor the 3M businesses that were later spun off to create Imation.The revenue growth was the first in 11 quarters for the businessunits, according to Imation chairman and CEO William Monahan.
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.