- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Contrast unavailability in U.S. harms diagnostic ultrasound
"We have so many CT and MR machines in the U.S. providing quick, easy, and efficient imaging that it's hard for ultrasound to compete, especially when it comes down to physicians' time.
"We have so many CT and MR machines in the U.S. providing quick, easy, and efficient imaging that it's hard for ultrasound to compete, especially when it comes down to physicians' time.
"I don't think any radiologist would be happy to give a final diagnosis on metastatic disease in the liver using CT or MRI without a contrast agent. We do not have the advantage of using contrast agents with ultrasound in this country, since they have not been approved by the FDA.
"Having contrast agents readily available will help improve ultrasound's diagnostic capabilities in many ways, including bedside imaging of patients who cannot be transported. One of the AIUM's new initiatives is to work with the FDA to accelerate the approval process."
-Lennard Greenbaum, M.D., president of the American Institute of Ultrasound in Medicine, speaking at the AIUM meeting in June
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.
