News Briefs
Neurostar plans to show 3D anywhere Virtual Radiologic joins Nasdaq
Neurostar plans to show 3D anywhere
Teleradiology specialist Neurostar Solutions will debut at RSNA an application for processing CT images into 3D on any networked computer. The capability, structured as a pay-as-you-go application, will be available on the company's Virtual Radiology Network. The web-based tool was developed in collaboration with KJAYA Medical.
Virtual Radiologic joins Nasdaq
Stock in teleradiology provider Virtual Radiologic began trading Nov. 14. Four million shares initially priced at $17 sold as part of an initial public offering. The company will use proceeds to repay outstanding debt and for general corporate purposes. By week's end, VRAD shares were trading above $22.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
The Reading Room Podcast: Current Perspectives on the Updated Appropriate Use Criteria for Brain PET
March 18th 2025In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
