DeJarnette departs IBM DIN-PACS consortiumDeJarnette Research Systems has decided to withdraw from the IBM consortium participating in the U.S. military's Digital Imaging Network-Picture Archiving and Communications Systems (DIN-PACS) deal. The
DeJarnette Research Systems has decided to withdraw from the IBM consortium participating in the U.S. military's Digital Imaging Network-Picture Archiving and Communications Systems (DIN-PACS) deal. The Towson, MD-based firm had been contributing its connectivity products to IBM as part of the team, but will no longer be involved in the engineering and product improvement plans on the project.
DeJarnette elected to withdraw from formal participation on the IBM team due to differences in corporate goals, technical direction, and business objectives between the two companies, said president Wayne DeJarnette. He declined to provide further details on the differences, other than to say that cultural differences between the companies led him to make the decision.
"We have decided it makes more business sense for us to participate with IBM as an OEM partner as opposed to a formal team member," he said.
The company said that its decision will not affect its relationships with Department of Defense customers, however. The company anticipates it will contribute its products on an OEM basis to IBM and will continue to sell products into other military accounts.
Although some analysts had estimated DIN-PACS spending to reach $165 million this year (PNN 6/98), actual awards to date have been under $35 million. This was not a factor in the decision to withdraw, however, DeJarnette said.
SNMMI: What a New Meta-Analysis Reveals About Radiotracers for PET/CT Detection of PCa
June 22nd 2025While (68Ga)Ga-PSMA-11 offers a pooled sensitivity rate of 92 percent for prostate cancer, (18F)-based radiotracers may offer enhanced lesion detection as well as improved imaging flexibility, according to a meta-analysis presented at the Society for Nuclear Medicine and Molecular Imaging (SNMMI) conference.
GE HealthCare Unveils Enhanced LesionID Pro at SNMMI Conference
Published: June 21st 2025 | Updated: June 21st 2025Emphasizing a zero-click experience, the updated LesionID Pro software, to be introduced at the SNMMI conference, reportedly provides AI-powered automated insights into whole-body tumor burden with PET and SPECT imaging.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.