The low-end computed radiography market continues to grow as CR firms target low-volume applications for their technology. Fuji Medical Systems USA has become the latest company to enter this sector with the debut of FCR 5000RE, a CR system with a price
The low-end computed radiography market continues to grow as CR firms target low-volume applications for their technology. Fuji Medical Systems USA has become the latest company to enter this sector with the debut of FCR 5000RE, a CR system with a price of approximately $100,000. The release joins other low-cost offerings in the market, such as the ACR-2000 desktop CR reader from Sunnyvale, CA-based Lumisys, and ADC Solo from Agfa of Ridgefield Park, NJ.
FCR 5000RE features the same console as the companys FCR 5000R reader, but does not include Fujis dynamic range control (DRC) image processing algorithms or HQ high-resolution mode. Fuji is targeting FCR 5000RE for low-volume remote clinics or ICU environments. A HIS/RIS interface is available as an option. Shipments will begin in July.
In other CR-related developments, Stamford, CT-based Fuji has debuted QA-WS771, a DICOM-compliant, Windows NT-based quality control workstation for technologists. QA-WS771 has a list price of $42,500.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.