Agfa Medical has received a letter of intent for a large-scale Impax installation from the University of Maryland Medical System. The Ridgefield Park, NJ-based film and PACS company will use the Impax network to link up the hospital's radiology, ER, and
Agfa Medical has received a letter of intent for a large-scale Impax installation from the University of Maryland Medical System. The Ridgefield Park, NJ-based film and PACS company will use the Impax network to link up the hospital's radiology, ER, and ICU departments, as well as doctor's offices and the hospital's shock trauma center. When completed, the network will cover 38 areas in five buildings and will employ 130 cable lines.
Integration with the hospital's IDXRad radiology information system will be performed, allowing physicians access to patient reports and images on 19 diagnostic review stations and 42 clinician stations, according to Agfa. The company's Web 1000 Java-based server offering will also be installed at several dozen locations on the premises. Agfa CR systems will be placed in the main radiology department, as well as the ER and the shock trauma center.
Installation of the network is scheduled to begin this month, with the first phase scheduled for completion before the 1998 Society for Computer Applications in Radiology meeting, which will be held in June at UMMS.
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.