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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.

Brain MRI Study Assesses Impact of AI in Differentiating Radionecrosis from Neoplastic Progression of Metastasis

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.

Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain

The Max 3 syringe-less injector reportedly offers improved efficiency and intuitive features with contrast media use for magnetic resonance imaging.

FDA Clears Syringe-less Injector for MRI Contrast Media

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.

MRI Study Suggests Repetitive Soccer Heading May Lead to Brain Abnormalities in ‘Locations Most Characteristic of CTE’

Through AI technology, Neurophet AQUA now provides multiple sclerosis (MS) analysis with a combination of lesion quantification and enhanced segmentation of T2-FLAIR MRI.

AI Software for Brain MRI Gets Expanded FDA Clearance for Multiple Sclerosis Assessment

While the final rule for the Mammography Quality Standards Act (MQSA) with respect to a national standard for breast density notification on mammography reports was issued in March 2023, implementation has been a significant undertaking.

“For states that did not have a breast density law before, I think this is a very heavy lift,” noted Stamatia Destounis, M.D., FACR, FSBI, FAIUM, a breast imaging specialist with Elizabeth Wende Breast Care in Rochester, N.Y., and chair of the American College of Radiology (ACR) Breast Imaging Commission.

Noting that breast density notification has been the law since January 2013 in New York, Dr. Destounis emphasized the importance of ongoing education for staff, patients and referring physicians. She recalled it taking about three to four years before physicians started asking questions about breast density.

In anticipation of the nationwide standard for breast density notification going into effect on September 10, 2024, Dr. Destounis said her facility revamped their website and emphasized social media to spread the word to patients. Accordingly, she has seen an “uptick of calls and appointments” for patients seeking genetic counseling at her facility, which has led to increased supplemental breast MRI screening.

“Many go ahead and schedule their supplemental screening with their mammogram,” added Dr. Destounis.

In order to accommodate the increased imaging volume. Dr. Destounis said her facility has hired more staff, expanded hours during the week and added weekend hours as well.

While the ongoing educational, logistical, and staffing challenges can be onerous, Dr. Destounis emphasized that every week, she is seeing cases of small invasive breast cancers on ultrasound and linear ductal enhancement on breast MRI that cannot be found on standard mammography.

(Editor’s note: For related content, see “

Current Insights on National Breast Density Notification for Mammography Reports

Looking at Next Steps to Reinforce National Breast Density Notification

Long-Term Study Shows Merits of Contrast-Enhanced Mammography for Women with Higher Breast Cancer Risk

For more insights from Dr. Destounis, watch the video below.

In a recent interview, Stamatia Destounis, MD, discussed the impact of national breast density notification for mammography reports.

Addressing the Early Impact of National Breast Density Notification for Mammography Reports

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.

Stacy Smith-Foley, M.D., was pleased to see the United States Preventive Services Task Force (USPSTF) realign with the American College of Radiology (ACR) and the Society of Breast Imaging (SBI) in recommending mammography screening to begin at 40 years of age for women of average risk for breast cancer.

However, in a recent interview, Dr. Smith-Foley expressed disappointment with the 

USPSTF’s lack of support for supplemental imaging in women with dense breasts and continued mammography screening for women 75 and older

, as well as the emphasis on biennial mammography screening for women 40 to 74 years of age.

Yearly mammography screening gives women the best chance for early breast cancer detection, emphasized Dr. Smith-Foley, the medical director of the Breast Center at the Central Arkansas Radiation Therapy Institute (CARTI) in Little Rock, Arkansas.

“When women skip their mammogram intentionally or unintentionally, … we tend to find more advanced disease. The breast cancer is larger, it is more extensive, it is more often a higher grade and more frequently involves the axilla with local regional metastasis. What I see in clinical practice is that when we have these gaps or delays (with mammography screening), the disease is more extensive,” explained Dr. Smith-Foley.

Biennial Mammography Over Annual Mammography? USPSTF Issues Updated Breast Cancer Screening Recommendations

Mammography Study Shows Link Between Enlarged Axillary Lymph Nodes and Higher Risks for Diabetes and Cardiovascular Disease

Breast MRI and Dense Breasts: A Closer Look at Early Findings from a New Prospective Trial

Dr. Smith-Foley also disagrees with the USPSTF’s assertion of insufficient evidence to continue annual mammography screening in women 75 and older.

“I have a whole collection of patients under my care in their 80s and 90s who presented to me with locally advanced breast cancer that would have been detected at an earlier stage if they had been participating in yearly screens,” maintained Dr. Smith-Foley.

For more insights from Dr. Smith-Foley, watch the video below.

Stacy Smith-Foley, MD discusses shortcomings with the recently updated USPSTF breast cancer screening recommendations.

Where the USPSTF Breast Cancer Screening Recommendations Fall Short: An Interview with Stacy Smith-Foley, MD

In a recent interview, Stacy Smith-Foley, M.D., shared her perspective on the shortcomings of the recently issued breast cancer screening recommendations from the United States Preventive Services Task Force (USPSTF).

Examining the impact of training sessions for magnetic resonance imaging (MRI) technologists at the University Hospitals Cleveland Medical Center in Ohio, researchers saw significant improvements in image acquisition and processing for breast MRI exams, according to new study findings presented at the Society for Breast Imaging (SBI) 2024 Breast Imaging Symposium in Montreal.

In a recent interview, Shahrzad Tavana, M.D., pointed out a 25 percent improvement in the compliance rate for correct breast positioning within the coil (from 52 percent pre-training to 77 percent post-training) and a 29 percent improvement with ensuring an optimal field of view (from 62 percent pre-training to 91 percent post-training.

“The ideal field of view for a breast MRI is from the clavicle to the inframammary fold with the axilla included bilaterally,” noted Dr. Tavana, a chief resident in diagnostic radiology at the University Hospitals Cleveland Medical Center in Ohio. “Sometimes we noticed that some of the breast MRs being done included the spine in the field of view. Sometimes, the axilla wasn’t adequately covered. All of these affect the resolution.”

Study Shows BPE Quantification on MRI Helps Predict Risk of Breast Cancer Recurrence

MRI Surveillance Associated with 80 Percent Reduction in Breast Cancer Mortality for Women with BRCA1

Five Takeaways from New Breast MRI Literature Review

Dr. Tavana and her colleagues also a 39 percent improvement in accuracy with the submission of MRI sequences to PACS (from 47 percent pre-training to 86 percent post-training). The training also led to reduced false positive scans, decreased recall rates and improved efficiency in the reading room, according to Dr. Tavana.

“Our project underscored the importance of a collaborative effort between the radiologists and the MRI technologists,” emphasized Dr. Tavana. “It resulted in improved quality of the breast MRs that we perform here.”

For more insights from Dr. Tavana, watch the video below.

Shahrzad Tavana, M.D., discusses the impact of training session for MRI technologists in improving MRI acquisition and processing.

Improving the Quality of Breast MRI Acquisition and Processing

Discussing findings from a new study presented at the Society for Breast Imaging (SBI) conference, Shahrzad Tavana, M.D., detailed the significant impact of training sessions for MRI technologists in improving breast positioning, optimal field of view and accuracy of sequence submissions to PACS for breast MRI exams.



Long Covid may affect up to 41 percent of non-hospitalized adults who have had COVID-19, according to the Centers for Disease Control and Prevention (CDC).

However, diffusion microstructural imaging, a novel magnetic resonance imaging (MRI) technique, may provide improved insight into associations between microstructural changes in the brain and common Long Covid effects such as neurocognitive deficits, fatigue, and olfactory dysfunction, according to new research presented at the recent 

Radiological Society of North America (RSNA) conference

In a recent interview, Alexander Rau, M.D., one of the lead authors of the study, discussed key findings from the prospective research that compared 89 patients with long Covid, 38 patients who had a COVID-19 infection but didn’t have long Covid, and 46 patients with no history of COVID-19.

By utilizing diffusion microstructural imaging, Dr. Rau and his colleagues discovered patterns of microstructural gray matter alterations that differed between those with long Covid and those who didn’t have long Covid after having a COVID-19 infection, particularly in basal brain structures.

“There is an impact of COVID-19 on the brain’s microstructure that we could measure with advanced diffusion imaging that was undetectable on conventional (MRI) imaging,” noted Dr. Rau, a resident in the Departments of Neuroradiology and Diagnostic and Interventional Radiology at University Hospital Freiburg in Freiburg, Germany. “Those alterations were associated with post-COVID condition associated symptoms such as fatigue, impaired olfaction, and cognitive decline. Thus, there is evidence that those alterations contribute to the pathophysiology of the post-COVID condition.”

MRI Study: People with Past Hospitalization for COVID-19 Have Nearly Triple the Risk of Multiorgan Abnormalities

New Meta-Analysis Details Most Common Brain MRI Findings with COVID-19

Seven Takeaways from New Consensus Recommendations for Cardiac MRI Assessment of COVID-19

For more insights from Dr. Rau, watch the video below.

Alexander Rau, M.D., discusses how diffusion microstructural imaging can differentiate gray matter shifts associated with long COVID symptomatology.

Can Diffusion Microstructural Imaging Provide Insights into Long Covid Beyond Conventional MRI?

In a recent interview, Alexander Rau, M.D., discussed emerging research, presented at the recent RSNA conference, that shows the capability of diffusion microstructural imaging to differentiate subtle shifts in microstructural gray matter associated with common symptomatology of long Covid.

Can Diffusion Microstructural Imaging Provide Insights Into Long Covid Beyond Conventional MRI?

A higher amount of visceral abdominal fat in one’s midlife years may be an early warning sign for the development of Alzheimer’s disease, according to magnetic resonance imaging (MRI) and positron emission tomography (PET) findings recently presented at the Radiological Society of North America (RSNA) conference.

In a cohort of 54 cognitively healthy people with an average body mass index (BMI) of 32, researchers found that a higher amyloid PET tracer uptake in the precuneus cortex, a brain region known to show early pathological sings of Alzheimer’s disease, was associated with a higher ratio of visceral abdominal fat to subcutaneous fat.

“Showing this association in midlife in individuals with obesity highlights that we are observing early amyloid pathology in the Alzheimer’s (disease) signature areas 20 years before the onset of Alzheimer’s disease,” noted Mahsa Dolatshahi, M.D., M.P.H., the lead author of the study and a postdoctoral research scholar affiliated with the Mallinckrodt Institute of Radiology at Washington University, in a recent video interview.

Emerging Neuroradiology Concepts: Could Tau-PET be a New Standard in Assessing Possible Alzheimer’s Disease?

FDA Clears AI-Powered MRI Software for Brain Atrophy

Brain PET Study Suggests Link Between Early Amyloid Accumulation and Repetitive Subconcussive Trauma

Cyrus A. Raji, M.D., Ph.D, said the long relied upon body mass index (BMI) is an “imperfect measure” for characterizing body fat. In taking a closer look at the anatomically specific distribution of visceral fat and subcutaneous fat and its relationship to the risk of developing Alzheimer’s disease, Dr. Raji noted the preliminary research findings have many potential implications for early intervention.

“By characterizing the actual distribution of fat and the biophysical profiles, we can really start building an idea of who needs a more aggressive form of lifestyle intervention or related drug therapies,” explained Dr. Raji, an associate professor of radiology and neurology at the Mallinckrodt Institute of Radiology at Washington University. 

“This will not only decrease the risk for Alzheimer’s disease for people at midlife, but it will also improve the potential for people to be more successful on any Alzheimer’s drug they may have to take later in life since individuals who take those drugs are less likely to benefit from those drugs if their underlying brain health is already impaired.”

For additional insights from Drs. Dolatshahi and Raji, watch the video below.

Researchers discuss new MRI and PET study findings that show a link between higher visceral abdominal fat and early development of Alzheimer's disease.

Emerging MRI and PET Research Reveals Link Between Visceral Abdominal Fat and Early Signs of Alzheimer’s Disease

In a recent interview, Mahsa Dolatshahi, M.D., M.P.H., and Cyrus A. Raji, M.D., Ph.D., discussed MRI and PET study findings, presented at the Radiological Society of North America (RSNA) conference, that showed an association between higher amyloid PET tracer uptake in the precuneus cortex and a higher visceral to subcutaneous fat ratio.

Emerging MRI and PET Research Reveals Link Between Visceral Abdominal Fat and Early Signs of Alzheimer's Disease

The recent Radiology Partners (RP) publication 

Neuroradiology and Stroke Clinical Pathway 

offers a practical best practice guidance for radiologists and technologists on the use and reporting of neuroimaging, including head and neck computed tomography angiography (CTA), cerebral perfusion CT and brain magnetic resonance imaging (MRI), for stroke patients.

In a recent interview, Vivek Bansal, M.D., makes it clear that the publication is geared toward achieving a consistent baseline standard for providing a high level of stroke imaging and care regardless of the size or resources of the given facility.

“We’re not rewriting the guidelines but (trying to) take some of these other hospitals or smaller practices, (facilities) with limited resources, or maybe don’t have neuroradiology specialty coverage, and bring everybody up to some baseline level to where we can say we’re giving optimal stroke care no matter where you go at any RP facility,” noted Dr. Bansal, a Houston-based neuroradiologist who serves as the national subspeciality lead for neuroradiology for Radiology Partners.

Emphasizing the constantly evolving nature and urgency of stroke care, Dr. Bansal said radiologists need to be active members of the stroke care team.

“In particular with stroke, we can’t be radiologists locked in our little reading rooms separate from everybody else and just putting out reports,” maintained Dr. Bansal. “We have to be part of the team … We have pushed to get really granular data and really help find the trouble points and fix them. That’s the key. When you do that, you get a lot of trust from your hospital system, and you can actually make processes better, and do better for the patients.”

(Editor’s note: To download the Neuroradiology and Stroke Clinical Pathway guidance, 

For more insights from Dr. Bansal, watch the video below.

In a recent video interview, Vivek Bansal, M.D., discussed a recent Radiology Partners publication that offers practical tips and best practice guidance on CT and MRI neuroimaging for stroke patients.

Practical Insights on CT and MRI Neuroimaging and Reporting for Stroke Patients

When evaluating an artificial intelligence (AI) model for initial assessment of left ventricular ejection fraction (LVEF) on echocardiograms, David Ouyang, M.D., said he was genuinely surprised that cardiologists had greater confidence in initial AI assessments than those provided by cardiac sonographers with an average of 14.1 years of experience.

In the randomized trial, recently published in 

, cardiologists revised 27.2 percent of initial LVEF assessments by sonographers in comparison to 16.8 percent of AI assessments.

“We initially thought of the tool as kind of a streamlining tool where it speeds things up. We actually designed the trial as a non-inferior trial. We weren’t expecting AI to be better than sonographers. Hopefully, it would be equivalent,” noted Dr. Ouyang, who is affiliated with the Department of Cardiology at the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at the Cedars-Sinai Medical Center in Los Angeles. “We were pleasantly surprised that AI actually was superior. This really speaks to the high level of precision that automation delivers.”

Study Finds AI More Effective Than Sonographer Interpretation of Cardiac Function on Echocardiograms

Can AI Improve Triage of CT Pulmonary Angiography Exams for Acute PE?

AI Platform for Ultrasound Detection of Cardiac Amyloidosis Gets FDA Breakthrough Device Designation

In a recent interview, Dr. Ouyang also discussed another 

 that employed deep learning segmentation of cardiac magnetic resonance imaging (MRI) to examine how variations in left ventricle sphericity can impact cardiovascular risks. Based on their findings from a large cohort of nearly 39,000 participants from the UK Biobank, Dr. Ouyang and colleagues found that one standard deviation increase in the left ventricle sphericity index led to a 47 percent increased risk for cardiomyopathy and a 20 percent higher risk of atrial fibrillation.

For more insights from Dr, Ouyang, watch the video below.

In a recent video interview, David Ouyang, M.D., shared insights from two recent studies he co-authored on the use of artificial intelligence (AI) to improve initial assessment of left ventricular ejection fraction (LVEF) on echocardiography and ascertain cardiac risks associated with changes in the left ventricle sphericity index seen on magnetic resonance imaging (MRI).

Emerging AI Advances in Cardiac Imaging

For Raymond Y. Kwong, MD, MPH, FACC, FSCMR, long scan times with cardiac magnetic resonance imaging (MRI) can have a significant downstream effect on patient access to this technology. He noted the increased demand for cardiac MRI has led to wait times of three to five weeks for outpatients and four to five days for in-patients to be scheduled for a cardiac MRI.

“These numbers are really unacceptable for patient care from our standpoint,” noted Dr. Kwong, the director of Cardiac Magnetic Resonance Imaging in the Cardiovascular Division of the Department of Medicine at Brigham and Women’s Hospital in Boston, and a professor medicine at Harvard Medical School.

With this in mind, Dr. Kwong recently started using Vista.ai (formerly HeartVista) One-Click MRI, an artificial intelligence (AI)-enabled software that helps improve image quality as well as the efficiency of cardiac MRI procedures. At the recent Radiological Society of North America (RSNA) conference, Dr. Kwong shared his six-month experience with Vista.ai’s One-Click MRI and noted a 31 percent reduction in scan times based on 1,100 consecutive cardiac MRI studies performed between April 2022 and September 2022 for patients with cardiomyopathy or structural heart disease.

When employing full use of the Vista.ai One-Click MRI software, Dr. Kwong found that 90 percent of cardiac MRI studies could be completed in less than 45 minutes in comparison to 25 percent of non-AI-aided studies.

(Editor’s note: This interview was recorded prior to HeartVista’s announcement about the company name change to Vista.ai.)

For more insights from Dr. Kwong, watch the video below.

In a recent video interview, Raymond Y. Kwong, MD, discussed his clinical experience with the Vista.ai (formerly HeartVista) One Click MRI software and recent research, presented at the Radiological Society of North America (RSNA) conference, that revealed a 31 percent decrease in cardiac MRI scan times for patients with cardiomyopathy or structural heart disease.

Can Emerging AI-Guided Software Rein in Scan Times for Cardiac MRI?

The purchase of new and cutting-edge imaging equipment comes with a lot of excitement—and a learning curve. That's where Canon Medical Education comes in, providing a host of education solutions for clients that include both in-person and virtual training and continuing education opportunities.

The education arm of Canon Medical Systems USA provides a customizable plan to ensure that all imaging associates are well-trained and comfortable operating advanced equipment including MR and CT, as well as vascular and cath applications, among others. 

Understanding that every learner is different, Canon offers educational opportunities that include in-person, at their Institute of Advanced Imaging in Irvine, California; on-site training at a client facility; online and instructor-led courses in their Canon Learning Center; as well as CE and non-CE webinars and special programs.

To learn more about Canon's educational offerings, 

Canon Medical Systems offer a range of in-person and virtual educational opportunities for their clients. 

Education in Radiology: Canon's Customized Approach

Morris Panner didn’t want to call the familiar PACS system outdated or antiquated. However, he did suggest that radiology is on the cusp of a revolution with medical image and data management that parallels the ongoing emergence of the radiologist from the reading room to being a key member of the interdisciplinary team in facilitating optimal patient outcomes.

“The PACS system is no longer a new invention. It is important and you can always improve it but what people are really looking for now is how to free that data, take that pixel information, share it, use it with other types of data and advance the liquidity and flexibility in data management. That was the revolution that came out of the SIIM (Society for Imaging Informatics in Medicine) meeting this year,” noted Panner, the president of Intelerad Medical Systems, in a recent video interview.

recent survey research showing an increasing patient acceptance of artificial intelligence (AI)

, and the more gradual “try it” phase for many radiologists as they discern the most optimal fit for AI in their current workflows. To that end, Panner also reviewed key aspects of Intelerad’s Enterprise Imaging and Informatics Suite. It is Panner’s hope that by emphasizing improved efficiency and quality in radiology workflows, the system can “free up brain space for great diagnostics.”

For more insights from Morris Panner, watch the video below.

In a video interview, Morris Panner, the president of Intelerad Medical Systems, discussed key observations from the recent Society for Imaging Informatics in Medicine (SIIM) conference, recent research about artificial intelligence (AI) adoption and emerging goals for enhancing the efficiency of radiology workflows.

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