- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Study confirms: Digitalmammo lengthens read time
Researchers at the University of Texas M.D. Anderson Cancer Center in Houston have confirmed what mammographers have long suspected: Digital screening mammograms may take twice as long to read as film.
Dr. Tamara Miner Haygood and colleagues clocked four radiologists as they interpreted 268 digital and 189 screen-film mammograms. They compared interpretation times for such variables as BI-RADS classification or availability of older soft- or hard-display comparative studies. Researchers also noted individual radiologists’ modus operandi. They found that it took all readers an average of four minutes to interpret digital screening mammograms but only slightly more than two minutes to read film studies. They published their findings in the January issue of the American Journal of Roentgenology.
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.
