- AI
- Molecular Imaging
- CT
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Adding CT contrast policy to EMR enhances safety
Partners Healthcare System in Boston has integrated CT contrast media guidelines into its electronic medical record to encourage physicians to comply with the safety standards and to cut costs for the hospitals in its network.
Partners Healthcare System in Boston has integrated CT contrast media guidelines into its electronic medical record to encourage physicians to comply with the safety standards and to cut costs for the hospitals in its network.
In 2003 Partners' radiology administrative director Kathryn McCullough and members of the Partners CT Contrast Media Team started to assess contrast media administration guidelines and screening procedures for patients at risk for contrast reactions at the system's six hospitals.
After discovering wide variations in policies and procedures, they developed a standard code for contrast media administration plus a patient questionnaire and adverse reaction form, all available through the EMR. The initiative has allowed them to identify patients with a history of prior contrast reactions. The group published its results in the Journal of the American College of Radiology (JACR 2009;6:562-566).
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.
