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Caprius to add three joint ventures
Breast MRI developer Caprius has received three letters of intent for joint ventures utilizing the Wilmington, MA-based company’s Aurora scanner, which is the only dedicated MRI breast imaging system to have received Food and Drug Administration
Breast MRI developer Caprius has received three letters of intent for joint ventures utilizing the Wilmington, MA-based companys Aurora scanner, which is the only dedicated MRI breast imaging system to have received Food and Drug Administration 510(k) clearance. The joint ventures partners would be located in New York City, Columbus, OH, and Knoxville, TN, and would be similar to other joint ventures currently in operation in sites such as Magee Womens Hospital and Englewood Hospital and Medical Center, according to Caprius.
Can Portable Dual-Energy X-Ray be a Viable Alternative to CT in the ICU?
September 13th 2024The use of a portable dual-energy X-ray detector in the ICU at one community hospital reportedly facilitated a 37.5 percent decrease in chest CT exams in comparison to the previous three months, according to research presented at the American Society of Emergency Radiology (ASER) meeting in Washington, D.C.
New Meta-Analysis Examines MRI Assessment for Treatment of Esophageal Cancer
September 12th 2024Diffusion-weighted MRI provided pooled sensitivity and specificity rates of 82 percent and 81 percent respectively for gauging patient response to concurrent chemoradiotherapy for esophageal cancer, according to new meta-analysis.
Study for Emerging PET/CT Agent Reveals ‘New Standard’ for Detecting Clear Cell Renal Cell Carcinoma
September 11th 2024Results from a multicenter phase 3 trial showed that the PET/CT imaging agent (89Zr)Zr-girentuximab had an 85.5 percent mean sensitivity rate for the diagnosis of clear cell renal cell carcinoma.
Can Radiomics and Autoencoders Enhance Real-Time Ultrasound Detection of Breast Cancer?
September 10th 2024Developed with breast ultrasound data from nearly 1,200 women, a model with mixed radiomic and autoencoder features had a 90 percent AUC for diagnosing breast cancer, according to new research.
