The Diagnostic Imaging MRI modality focus page provides information, videos, podcasts, and the latest news about industry product developments, trial results, screening guidelines, and protocol guidance that touch on the use of MRI across the healthcare continuum, including breast, neurological, cardiovascular, prostate imaging, and more.
June 5th 2023
Powered by deep learning technology, Sonic DL reportedly facilitates the acquisition of cardiac magnetic resonance imaging (MRI) scans at 12 times the speed of conventional MRI systems.
Can Abbreviated MRI Have an Impact in Neuroimaging?May 19th 2023
In a recently published review, radiology researchers from the University of Wisconsin discussed the potential and key considerations for applying accelerated magnetic resonance imaging (MRI) protocols in the assessment of emergent and urgent conditions.
New ACR Guidelines Emphasize Earlier Mammography Screening for High-Risk WomenMay 4th 2023
While calling for a universal breast cancer risk assessment by the age of 25, the American College of Radiology (ACR) emphasized that ascertaining screening needs prior to the age of 40 is particularly important in high-risk populations such as Black women, who are 42 percent more likely to die from breast cancer in comparison to non-Hispanic White women.
Can Alternative MRI Techniques Help Enhance CyberKnife Treatment Imaging?May 4th 2023
In a review of the literature, this author discusses the viability of artificial intelligence (AI), parallel imaging, compressed sensing and simultaneous multi-slice excitation for improving the scan times and use of magnetic resonance imaging (MRI) to facilitate CyberKnife treatment.
TeraRecon Launches AI-Powered Neuro SuiteApril 28th 2023
The artificial intelligence (AI)-powered Neuro Suite reportedly enables radiologists to access leading neurological AI algorithm solutions in the field, including the brain magnetic resonance imaging (MRI) segmentation capabilities of the Combinostics’ algorithm that can help differentiate degenerative pathologies such as Alzheimer’s disease and dementia.
Study Shows Benefits of Reduced Energy Consumption with MRI Devices and Possible Millions in Cost SavingsApril 26th 2023
Researchers suggested that overnight use of a power-save mode on outpatient magnetic resonance imaging (MRI) devices in the United States could reduce annual energy consumption by 76,288.2 megawatt hours (MWh) and add up to $10.7 million in cost savings.
Could Controlled Imaging Rein in Suboptimal Use of MRI, CT and Ultrasound Exams?April 24th 2023
Lamenting a lack of control over imaging requests from referring clinicians, this author suggests that a more collaborative approach between referrers and radiologists may facilitate more efficient use of imaging.
Spine Radiology Insights on Venous Fistula Localization and Finding Cerebrospinal Fluid LeaksApril 19th 2023
In a recent lecture at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting, Andrew Callen, M.D., discussed a variety of imaging features associated with cerebrospinal fluid (CSF) leaks, the diagnostic utility of the Bern score as well as the merits of 3D T2FS MRI and dynamic computed tomography myelography.
Breast Reconstruction: Current Principles and Emerging Concepts in ImagingApril 17th 2023
Given the increasing prevalence of breast reconstruction, researchers discussed key signs of common complications on magnetic resonance imaging (MRI), ultrasound and other imaging during a recent presentation at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.
Award-Winning Study Shows Benefits of 3D MRI for Assessing the Fetal Optic PathwayApril 16th 2023
Three-dimensional (3D) slice-to-volume (SVR) fetal magnetic resonance imaging (MRI) has over six times the fetal optic pathway visualization rate of standard two-dimensional MRI, according to new research presented at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.
New Medtronic App Streamlines MRI Screening for Patients with Cardiac DevicesApril 5th 2023
Offering built-in safety features and independent verification of magnetic resonance imaging (MRI) compatibility with cardiac devices such as pacemakers or implantable cardioverter defibrillator systems, the MRI Care Pathway app may enhance the efficiency of radiology workflows for MRI scans in patients with these devices.
Seven Takeaways from New Consensus Recommendations for Cardiac MRI Assessment of COVID-19March 31st 2023
Consensus recommendations from the Society for Cardiovascular Magnetic Resonance provide pertinent insights on the unique abilities of cardiac magnetic resonance imaging (MRI) to provide optimal characterization of myocardial tissue and diagnosis of COVID-19-related myocardial injuries.
Post-Op MRI Shows New Ischemic Brain Lesions in 65 Percent of Patients After Endovascular Surgery for Intracranial Atherosclerotic StenosisMarch 29th 2023
In the study of 119 patients who had endovascular treatment for intracranial atherosclerotic stenosis, multivariable analysis revealed that post-op ischemic brain lesions on diffusion-weighted magnetic resonance imaging (MRI) were 3.6 times more likely to occur in patients who smoke cigarettes and 2.9 times more likely in patients who had multiple operative attempts.
What a Breast MRI Study Reveals About Axillary Lymph Nodes and COVID-19 Booster VaccinationMarch 21st 2023
In a study of 128 patients who had breast magnetic resonance imaging (MRI) exams after COVID-19 booster vaccination, researchers noted that nearly 19 percent of the cohort had equal to or greater than 0.2 cm of increased lymph node cortical thickness.
Could Cardiac MRI Improve Risk Stratification in Patients with Dilated Cardiomyopathy?March 20th 2023
Emerging research suggests that cardiac MRI findings of late gadolinium enhancement, native T1 values and extracellular volume fraction may predict sudden cardiac death-related events in patients with nonischemic dilated cardiomyopathy.
Meta-Analysis Finds High Risk of Bias in 83 Percent of AI Neuroimaging Models for Psychiatric DiagnosisMarch 17th 2023
In a review of 555 neuroimaging-based artificial intelligence (AI) models for the diagnosis of psychiatric disorders, researchers found that nearly 72 percent of the AI models had an inadequate sample size and over 99 percent were insufficient at handling data complexity.