Convolutional neural network-enabled segmentation of brain MRI offered a 25.7 percent higher specificity than a radiomic model for differentiating radionecrosis and metastatic progression in patients treated with stereotactic radiosurgery for brain metastases.
Ten-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.
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The Max 3 syringe-less injector reportedly offers improved efficiency and intuitive features with contrast media use for magnetic resonance imaging.
Catch up on the top radiology content of the past week.
Catch up on the most-well viewed radiology content in November 2024.
Higher repetitive head impacts in adult soccer players were associated with lower fractional anisotrophy and a higher orientation dispersion index in the frontal lobe, orbitofrontal cortex, and the parietal lobe, according to diffusion MRI findings to be presented at the Radiological Society of North America (RSNA) conference.
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Through AI technology, Neurophet AQUA now provides multiple sclerosis (MS) analysis with a combination of lesion quantification and enhanced segmentation of T2-FLAIR MRI.
Utilized in conjunction with hyperpolarized Xenon-129 for the assessment of lung ventilation, the chest coil can now be employed in the Signa Premier and Discovery MR750 3T MRI systems.
Offering a variety of AI-enabled tools to facilitate radiology workflow efficiency, the BlueSeal MRI system is reportedly the first wide bore, helium-free 1.5T MRI platform in the field.
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Icobrain.aria is reportedly the first AI software geared toward the detection and monitoring of amyloid-related imaging abnormalities (ARIAs) on brain MRI.
The Signa Magnus MRI device offers a slew rate and gradient amplitude that are reportedly superior to those of 60 or 70 cm bore whole-body MRI systems.
Trained on over five million spine MRI scans, the RAI software reportedly facilitates rapid pathology detection and enhanced consistency with disc measurement.
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In addition to a lower rate of preoperative breast MRI use, emerging research found that Black women with breast cancer who didn’t have a preoperative MRI had a higher positive surgical margin rate than White women with no preoperative MRI.
An artificial intelligence (AI) model demonstrated a 72 percent AUC for predicting breast cancer one year before a subsequent MRI.
In newly published guidelines, researchers discuss the utility of CT, MRI and PET/CT in the diagnosis, staging, treatment monitoring and follow-up imaging for peritoneal metastases in patients with ovarian or colorectal cancer.
In recent interviews, Eric Rohren, M.D., and Krishna Nallamshetty, M.D., discuss the potential of abdominal aortic aneurysms (AAAs) to progress into life-threatening consequences and an emerging AI-powered tool that may bolster adherence to best practice recommendations in radiology reporting of incidental AAA findings on CT and MRI.
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In a recent interview, Stamatia Destounis, M.D., discussed the impact of national breast density notification for mammography reports and key considerations with staffing and ongoing education for patients, staff and referring providers on the merits of supplemental breast imaging.
For patients with rectal cancer, an emerging nomogram that combines deep learning and clinical factors had greater than 16 percent and 23 percent increases in accuracy and specificity, respectively, for pre-op prediction of tumor deposits in comparison to clinical factors alone.
Emerging technologies included with the 10th version of the 1.5T MRI platform include Synergy DLR Clear and Synergy Vision that are geared toward mitigating common challenges with artifacts.
Catch up on the most-well viewed radiology content in October 2024.
