Technology

Cardiac CT

Neurology CT

Oncology CT

Women's Health CT

Facility Management

Cardiac MRI

Neurology MRI

Oncology MRI

Women's Health MRI

Mammography

Molecular Imaging

Cardiac Ultrasound

Oncology Ultrasound

Women's Health Ultrasound

Ultrasound

Orthopedic X-Ray

X-Ray

News

All News

Blogs

Media

Around the Practice 

Between the Lines

Image IQ

Medical World News

Podcasts

Rad-View

Videos

Conferences

Conference Coverage

Conference Listing

DI Executive

Resources

CME/CE

E-books

Education

Interactive Tool Kits

Partners

Subscribe

Advertise

About

Contact Us

Editorial

Editorial Board

Do Not Sell My Personal Information 

Privacy

Terms and Conditions

Diagnostic Imaging

Facebook

LinkedIn

YouTube

Spotlight

RSNA

Disease Spotlight: Prostate Cancer

Rad-View: Generic Contrast Agents 

Rad View: PSMA PET Imaging Recommendations

Unlock AI-Powered Imaging

Image IQ Quiz

Topics

View More

1rem

Topic

Featuring enhanced low-dose image quality with motion-free images, the Revolution Vibe CT system reportedly facilitates improved diagnostic clarity for patients with conditions ranging from in-stent restenosis to atrial fibrillation.

GE HealthCare Debuts AI-Powered Cardiac CT Device at ACC Conference

LI-RADS category 5 (LR-5) assessment had an 11 percent higher AUC for detecting hepatocellular carcinoma (HCC) in patients with non-cirrhotic chronic hepatitis C (CHC) in comparison to those with cirrhotic CHC.  

Are CT and MRI-Derived LI-RADS Assessments Effective for Detecting HCC in Cases of Non-Cirrhotic Chronic Hepatitis C?

The cLung-RADS v2022 model offered a greater than 16 percent increase in the AUC in comparison to Lung-RADS 1.0 and Lung-RADS v2022 systems for predicting the invasiveness of pure ground-glass nodules.

CT Study: Modified Lung-RADS Model Offers Enhanced Prognostic Assessment of Pure Ground-Glass Nodules

Attenuation-based biomarkers on computed tomography (CT) scans demonstrated a 93 percent interclass correlation coefficient (ICC) agreement across three pancreatic segmentation algorithms for predicting diabetes, according to a study involving over 9,700 patients.

Predicting Diabetes on CT Scans: What New Research Reveals with Pancreatic Imaging Biomarkers

Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.

Can Photon-Counting CT be an Alternative to MRI for Assessing Liver Fat Fraction?

While single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) is well validated for the detection of coronary artery disease (CAD) and other cardiovascular abnormalities, there is a degrading effect with attenuation that requires an additional computed tomography (CT) scan to address attenuation compensation.

However, in a recent interview, Abhinav Kumar Jha, Ph.D, noted there are a large number of SPECT scanners that do not have the CT component and this issue is particularly prevalent in community hospitals and rural facilities. Dr. Jha says this problem is compounded as studies have demonstrated a higher prevalence of heart disease in rural health-care settings.

Dr. Jha pointed out that 75 percent of SPECT MPI exams are performed without attenuation compensation and cites a survey of nuclear cardiology providers that found only 5.6 percent provided CT-based attenuation correction.

“Therefore, you can imagine there's a very important need for a large segment of the patient population to have access to this technology of attenuation correction without being able to take a CT scan,” noted Dr. Jha, an associate professor of biomedical engineering and radiology at the Washington University School of Medicine in St. Louis.

However, in recently published research, Dr. Jha and other researchers developed a deep learning technique that provides CT-less (dubbed CTLESS) attenuation compensation. With this research and other studies, Dr. Jha said the CTLESS approach has provided consistent performance across scanner models and patients with different degrees of heart disease.

While acknowledging that more studies are needed to validate the technology, Dr. Jha noted the CTLESS approach has potential to bolster access to SPECT MPI.

“I'm excited about the CTLESS technology (and) making the process of attenuation compensation more accessible, affordable as well as safe,” emphasized Dr. Jha.

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

Assessing MACE Risk in Women: Can an Emerging Model with SPECT MPI Imaging Have an Impact?

Radiology ‘Game-Changer’: FDA Approves PET Agent for Enhanced Detection of Coronary Artery Disease

Study Shows Merits of CTA-Derived Quantitative Flow Ratio in Predicting MACE

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

Abhinav K. Jha, Ph.D., discusses emerging research for a deep learning CT-less alternative for providing attenuation compensation for SPECT MPI.

Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?

In a recent interview, Abhinav K. Jha, Ph.D., discussed key challenges with the use of SPECT MRI and how an emerging deep learning model may facilitate attenuation compensation without the need for an additional computed tomography (CT) scan.

For busy neuroradiology departments, adjunctive artificial intelligence (AI) may facilitate timely detection and triage of computed tomography (CT) scans showing subdural hematomas (SDHs).

In a new retrospective multicenter study presented at the International Stroke Conference (ISC), researchers compared the AI-powered Rapid SDH (RapidAI) software versus three expert neuroradiologist assessments of non-contrast-enhanced head CTs in 313 patients (mean age of 63) for the detection of SDH.

The researchers found that the AI software provided a 92.4 percent sensitivity and a 98.7 percent specificity for subdural hematomas. Specifically, the Rapid SDH software offered a 91.5 percent sensitivity for chronic SDH and a 92.7 percent sensitivity for acute/subacute SDH, according to the research.

In a recent interview from the ISC, lead study author Jeremy Heit, M.D., Ph.D., spoke about the potential impact of the research.

“Those are really good numbers. This is a hard problem, and as one of the readers, some of these hemorrhages were really subtle,” noted Dr. Heit, the chief of neuroimaging and neurointervention at the Stanford University School of Medicine. “So the fact that they're being picked up, I actually think that's really impressive because it's not a trivial task for a computer to be able to deal with.”

Bringing up an example of multiple traumas requiring a number of acute imaging scans in an emergency department, Dr. Heit said the accuracy and efficiency of the Rapid SDH software can have a significant impact in triaging important cases.

“I think it's really going to be helpful to have it work that quickly. It's a three-minute processing (time) to be able to flag something and bump it up on your queue. That is super helpful,” maintained Dr. Heit.

FDA Clears AI-Powered Module for Detecting Hemispheric Subdural Hematomas on CT

Key Findings on Non-Contrast CT Signal Higher Complication Risks in Patients with Intracerebral Hemorrhage

FDA Clears New AI Tool for Diagnosing Subdural Hemorrhage

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

Neuroradiologist Jeremy Heit, MD, discussed new research showing the efficacy of the AI-powered software Rapid SDH for detecting subdural hematomas on non-contrast head CT scans.

Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD

1. Heit J. Performance of Rapid SDH for detection of both acute and chronic subdural hematomas. Presented at the International Stroke Conference, February 4-7, 2025, Los Angeles. For more info, visit 

https://professional.heart.org/en/meetings/international-stroke-conference

In a video interview from the International Stroke Conference (ISC), Jeremy Heit, M.D., Ph.D., discussed new research revealing over 90 percent sensitivity and specificity rates for AI detection of subdural hematomas on non-contrast-enhanced head CTs.

While Marfan syndrome is a clinical diagnosis, Alan C. Braverman, M.D., FACC, noted in a recent interview that radiologists play an “invaluable” role in facilitating early diagnosis of this genetic aortic condition.

“They can be the first to put the words into a clinician's mind that this condition that they're seeing on imaging could be something much more,” emphasized Dr. Braverman, the director of the Marfan Syndrome and Aortopathy Center at the Washington University School of Medicine in St. Louis, Mo.

“When there are combinations of findings — root aneurysm, tortuous arteries, mitral valve prolapse — when these features are seen on an imaging study, not just reporting them in diameters accurately, but also suggesting the possibility of something more, like Marfan syndrome or some genetic aortic condition when unexplained in a young person, in particular, can be so helpful to the clinician. It's invaluable.”

For patients with Marfan syndrome, Dr. Braverman emphasized complete assessment of the proximal aorta. Noting that an enlarged aortic root is common in this patient population, Dr. Braverman said the diameter of the aortic root generally exceeds 40 millimeters in younger male patients and 37 millimeters in younger female patients.

While these findings can be visualized very well on echocardiogram, cross-sectional imaging with computed tomography angiography (CTA) or magnetic resonance angiography (MRA) are recommended for initial diagnosis in adult patients and can aid in differentiating between Marfan syndrome and other conditions, such as Loeys-Dietz syndrome, noted Dr. Braverman, a professor of medicine and alumni endowed professor of cardiovascular diseases at the University of Washington School of Medicine.

Improving Adherence to Best Practices for Incidental Abdominal Aortic Aneurysms on CT and MRI

Emerging ECG-Based AI Screening Software for Aortic Valve Stenosis Gets FDA’s Breakthrough Device Designation

Cardiac Ultrasound Update: FDA Clears Software with 45 Automated Parameters for Echocardiographic Analysis

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

Alan Braverman, MD, discusses the role of radiologists in facilitating the timely diagnosis of Marfan syndrome.

Pertinent Insights into the Imaging of Patients with Marfan Syndrome

Emphasizing the role of radiologists in facilitating timely diagnosis of Marfan syndrome, Alan Braverman, M.D. discussed the use of echocardiography, CT, and MRI in evaluating patients with this genetic aortic condition.

Is it time to revisit initial imaging recommendations in established guidelines for the assessment of chest pain?

For patients with stable chest pain and no prior diagnosis of coronary artery disease (CAD), initial coronary computed tomography angiography (CCTA) was associated with subsequent revascularization in 62 percent of cases in comparison to 31 percent for nuclear stress single photon emission computed tomography (SPECT) testing and 34 percent for no testing, according to a 786-patient study presented at the American College of Cardiology Cardiovascular Summit in Washington, D.C.

In a recent interview, Markus Scherer, M.D., said the study findings show that CCTA offers the most effective tool for evaluating patients with stable chest pain in the absence of a prior CAD diagnosis.

“(Opting for coronary CTA is) a more efficient and more direct pathway to answer the clinician’s question as to whether or not you have coronary artery disease as a cause of your symptoms … and (determining) how much you have is enough to justify taking it to the next level and going to the invasive laboratory,” noted Dr. Scherer, the director ofcardiac CT and structural heart imaging at Atrium Health-Sanger Heart and Vascular Institute in Charlotte, N.C.

Should Dual-Source CT be the New Standard for ER CCTA Assessment of Acute Chest Pain

Could Photon Counting Reduce Iodinated Contrast Media for CT Angiography?

In terms of cost-effectiveness, Dr. Scherer added that coronary CTA, in his clinical experience, typically costs less than the more commonly performed nuclear stress SPECT test and is “certainly less” than direct referrals to the cath lab.

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

Markus Scherer, M.D., discusses new research on coronary computed tomography angiography (CCTA) and revascularization rates in patients with stable chest pain.

Does Initial CCTA Provide the Best Assessment of Stable Chest Pain?

In a recent interview, Markus Scherer, M.D., discussed emerging research, presented at the American College of Cardiology Cardiovascular Summit, which showed that coronary computed tomography angiography (CTA) was associated with a significantly higher likelihood of revascularization in comparison to other modalities or direct referral for invasive coronary angiography.

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

For incidental pulmonary emboli (PE) findings on outpatient computed tomography (CT) scans, timely follow-up remains challenging due to daunting radiology worklists and potential health equity considerations, such as transportation access and language barriers, in high-risk populations.

However, in emerging pilot study research presented at the Society for Imaging Informatics in Medicine (SIIM) conference, Ali Tejani, M.D. discussed the implementation of an artificial intelligence (AI)-guided triage software for managing incidental PE findings on computed tomography (CT) scans.

Dr. Tejani and colleagues had impressive results with an approximately one-hour improvement in the median time to emergency department presentation and over a 13-hour difference in the median time to anticoagulant prescription retrieval.

Emerging AI Tool Improves Worklist Triage and CT Detection of Incidental Pulmonary Embolism

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

However, Dr. Tejani emphasized that these results wouldn’t have been possible without multidisciplinary collaboration in addressing previously existing challenges in the radiology workflow, including health equity considerations, that affect the quality of care. In collaboration with CT technologists, Dr. Tejani said they established a workflow requirement that patients with outpatient chest CT studies remain at the facility during AI assessment of the imaging. 

The combination of workflow changes with AI-enabled worklist reprioritization for radiologists led to more timely follow-up care for patients with incidental PE findings on CT scans, according to Dr. Tejani, a third-year radiology resident at the University of Texas Southwestern Medical Center.

“By instituting a clinical operations initiative that helps you leverage an AI result, (it) can actually translate to this clinically meaningful change,” noted Dr. Tejani.

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

In a recent video interview from the Society for Imaging Informatics in Medicine (SIIM) conference, Ali Tejani, M.D., discussed pertinent insights on leveraging the value of adjunctive artificial intelligence (AI)-enabled triage software for computed tomography (CT) scans with radiology workflow improvements to achieve “clinically meaningful change” for patients with incidental pulmonary emboli findings.

Expediting the Management of Incidental Pulmonary Emboli on CT

One of the ongoing trends with the development of artificial intelligence (AI) modalities in radiology is an increasing emphasis on improving efficiencies with non-interpretative tasks.

In a recent interview, Sonia Gupta, MD said the combination of AI and natural language processing can help retrieve and analyze key historical points from a patient’s electronic medical record (EMR). Dr. Gupta emphasized that this technology could help streamline patient triage, radiology reporting and the management of incidental finding follow-up.

“(With) incidental finding follow-up, AI reads the report and detects the findings that need follow-up … and can also insert the follow-up recommendations for you into the report. Again, this is all non-interpretative and natural language processing-based type of AI. I think that is a really great opportunity we can all utilize,” maintained Dr. Gupta, an abdominal radiologist, a board member of the American Board of Artificial Intelligence in Medicine, and the chief medical officer of Change Healthcare.

Emerging Insights on Improving Radiology Workflows

Assessing the Value Proposition of AI in Radiology

AI in Radiology: Top Five Articles of 2022

Dr. Gupta said the hope is that this emphasis on simplifying non-interpretative tasks could reduce time-consuming elements of radiology workflows and help curtail burnout.

Noting that approximately one-third of radiologists are currently utilizing some form of AI in practice, Dr. Gupta said the combination of cancer screening with AI and appropriate reimbursement could accelerate AI adoption in radiology.

Pointing out there are currently upward of 200 Food and Drug Administration (FDA) 510(k) clearances in radiology, Dr. Gupta said the ongoing consolidation of AI vendors may make it easier for radiologists to choose among relevant systems for their practice. She added that consolidation could be a boon for early adopters, who may gain access to more AI offerings than they originally signed up for.

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

In a recent video interview, Sonia Gupta, MD discussed a number of ongoing developments with artificial intelligence (AI) in radiology, ranging from market consolidation of AI vendors to maximizing automation and efficiency with patient triage, reporting and follow-up of incidental findings.

Emerging Trends with AI in Radiology in 2023

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.

What's Next in Medical Image and Data Management in Radiology?

Is exposure to iodinated contrast media (ICM) a potential issue for young pediatric patients? The Food and Drug Administration (FDA) recently advised clinicians to ensure thyroid monitoring for patients three years of age and younger within three weeks after exposure to ICM. However, a 

recently published statement from the American College of Radiology (ACR)

 has raised questions about the FDA guidance.

In a recent video interview, Jonathan R. Dillman, M.D., MSc, who co-authored the ACR statement, noted 

several issues with the 11 studies the FDA used to support the guidance

In addition to a lack of prospective data and a lack of control groups in most of the studies cited by the FDA, the majority of the studies focused on high-risk pediatric patients such as low birth weight premature babies, neonates and those with congenital heart disease, according to Dr. Dillman, the associate chief of research in the Department of Radiology and the medical director of the Imaging Research Center within the Division of Radiology at the Cincinnati Children’s Hospital Medical Center.

Dr. Dillman said the FDA guidance is too broad and not supported by the current research.

“Wherever the science takes us, that is where we want to go. The science at this time we do not believe calls for universal thyroid monitoring after intravascular CT (computed tomography) in children three months of age and up. … There is really no evidence to support that,” maintained Dr. Dillman, who has served on the ACR’s Drugs and Contrast Committee since 2007.

For more insights from Dr. Dillman, watch the video below:

In a video interview, Jonathan Dillman, MD, MSc discussed a recently published statement from the American College of Radiology (ACR) that questioned the literature support for a March guidance from the Food and Drug Administration (FDA) about thyroid monitoring for children three years of age or younger within three weeks of exposure to iodinated contrast media (ICM).

Women's Health CT

Latest News