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Emerging research suggests that a deep learning model may offer 92 percent sensitivity in lung tumor detection on CT scans and up to a 59 percent reduction in tumor segmentation time.

Study: CT-Based AI Offers Enhanced Sensitivity and Reduced Segmentation Time for Lung Tumors

In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.

Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging 

In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.

CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer

The IQ-UIP AI software may bolster computed tomography diagnosis of usual interstitial pneumonia (UIP), which is reportedly misdiagnosed in over 50 percent of cases.

FDA Clears CT-Based AI Software for Enhanced Detection of Usual Interstitial Pneumonia 

Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.

New CT and MRI Research Shows Link Between LR-M Lesions and Rapid Progression of Early-Stage HCC

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.

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

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).

Iodinated Contrast Media Exposure: Is Subsequent Thyroid Monitoring Warranted for Young Pediatric Patients?

In a new study presented recently at the 8th European Academy of Neurology (EAN) Congress in Vienna, Austria, researchers from Denmark found that patients who tested positive for COVID-19 were 3.5 times more likely to be diagnosed with Alzheimer’s disease and 2.6 times more likely to have Parkinson’s disease in comparison to patients without COVID-19. 

(Editor's note: For a related article, see "New Study Shows Link Between COVID-19 and Elevated Risks for Neurological Disorders.")

In a recent video interview, neurologist Pardis Zarifkar, MD discussed the findings of the exploratory observational study.

The study authors also found that patients with COVID-19 had a 2.7 times higher risk of ischemic stroke and a 4.8 times higher risk for intracerebral hemorrhage. While the higher prevalence of cerebrovascular disorders was expected given the previously reported association between these disorders and COVID-19, the “extent of the increase (with neurodegenerative disorders) was quite surprising,” noted Dr. Zarifkar, who is affiliated with the Department of Neurology at Rigshospitalet in Copenhagen, Denmark.

That said, Dr. Zarifkar emphasized that “neurodegenerative disorders are a long time in the making” and it is “highly unlikely” that a COVID-19 infection could cause the development of a neurodegenerative disorder at one year.

While maintaining that more research is needed to evaluate potential long-term neurological complications with COVID-19, Dr. Zarifkar is also hopeful that future studies will examine the phenomenon of cognitive and mental health issues after critical illness.

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

In a recent video interview, neurologist Pardis Zarifkar, MD discussed a new study that found significantly elevated risks for Alzheimer’s disease and Parkinson’s disease among patients who tested positive for COVID-19. 

Video Interview: Is There an Increased Incidence of Neurodegenerative Diseases in Patients with COVID-19?

What are the key questions radiologists should ask when assessing artificial intelligence (AI) vendors? While the list can be long, one important question is ascertaining the volume and nature of the data used to develop and train a given AI algorithm, according to Sonia Gupta, MD, an abdominal radiologist, and chief medical officer at Change Healthcare.

In a recent video interview, Dr. Gupta said knowing the volume of cases that went into the training of an AI model is an important consideration as is the diversity of that data in terms of factors such as age, gender, health issues and comorbidities to name a few.

“All of those factors will influence the model training and ultimately the performance of that AI algorithm,” noted Dr. Gupta, who lectured about AI at the recent Society for Imaging Informatics in Medicine (SIIM) conference. “I encourage radiologists looking at potential AI vendors to dig into that information right off the bat.”

Other essential considerations include how the AI algorithm will be integrated into the current workflow and establishing timeline expectations for that integration into one’s radiology practice, according to Dr. Gupta, who is affiliated with Radiology Partners.

Dr. Gupta said there is a lot of potential for AI to mitigate some of the administrative burdens for radiologists and allow them to get back to the essentials of interpreting imaging and facilitating optimal patient care.

“I really want to see AI take the lead (in reducing administrative tasks) and make things easier so I can spend more time looking at the images and doing what I was trained to do,” added Dr. Gupta.

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

In a recent video interview, abdominal radiologist Sonia Gupta, MD discussed key principles in assessing potential alliances with artificial intelligence (AI) vendors and the potential of AI to alleviate the time-consuming, administrative aspects of patient care.

Essential Questions for Assessing Artificial Intelligence Vendors in Radiology

The temporary shortage of iodinated contrast media (ICM) has been a huge issue in the radiology community, not to mention the overarching impact on the health-care field. While there is proverbial light at the end of the tunnel with the 

recent announcement from GE Healthcare about resuming full production of Omnipaque products

, Sean Bryant, M.D. said there are key takeaways that radiologists can utilize in the next couple of weeks as contrast supply begins to be restored and moving forward.

In a recent video interview, Dr. Bryant, the owner and president of Diversified Radiology, discussed the impact of the ICM shortage in the neuroradiology space. In addition to appropriate use of alternative imaging, such as substituting magnetic resonance imaging (MRI) or non-contrast computed tomography (CT) for contrast-enhanced CT scans, Dr. Bryant said the guidelines from the American College of Radiology (ACR) and the American Society of Health-System Pharmacists (ASHP) have been helpful in managing the ICM shortage.

Dr. Bryant said the ICM shortage also was an opportunity to reassess imaging protocols and educate patients as well as referring clinicians on alternatives to high contrast imaging. In emergency departments, oncology care and in-patient services in a hospital, Dr. Bryant noted that clinicians at times opt for high contrast without knowing the most optimal study to order for a given clinical scenario.

For additional insights from Dr. Bryant, watch the video below.

In a recent video interview on the current iodinated contrast media shortage, neuroradiologist Sean Bryant, MD discussed imaging alternatives, emphasized communication with referring physicians on optimal studies, and discussed the ongoing need to prevent “protocol creep” with timely updates of imaging protocols.

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