Researchers at the University of Utah have developed a vendor-neutral teaching file system that offers a means by which cases can automatically be plucked from PACS without requiring the usual modification of PACS configuration.
Researchers at the University of Utah have developed a vendor-neutral teaching file system that offers a means by which cases can automatically be plucked from PACS without requiring the usual modification of PACS configuration.
"Harvesting medical images from PACS for education, research, and publication is not a simple or intuitive process," said Dr. Aaron W. Kamauu, a biomedical informaticist at Utah.
The RadICS system (Radiology Interesting Case Server) has three important advantages, according to Kamauu: vendor neutrality, automatic window and level calculation for MR images, and real-time window and level optimization of region of interest.
As interesting cases are encountered at the workstation, radiologists use PACS to push studies to RadICS. This step does not require the physician to change or log in to a different application. As images are transferred and automatically processed by the RadICS, radiologists can continue with clinical tasks (Radiographics 2006;26(6):1877-1885).
Even though some PACS vendors claim compliance with the Integrating the Healthcare Enterprise's Teaching File and Clinical Trial Export profile, the necessary components will not become available in commercial products for some time, Kamauu said.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.