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

Diagnostic Imaging serves as the connection to Radiology, including groundbreaking Imaging news and interviews with top Radiologists in multimedia formats.

Advertise

About

Contact Us

Editorial

Editorial Board

Do Not Sell My Personal Information 

Privacy

Terms and Conditions

Diagnostic Imaging - Radiology News, Imaging Expert Insights

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

While recently published research raised concerns about projections of future radiation-induced cancers from computed tomography (CT) scans, Joseph Cavallo, M.D., maintained in a new 

 that advances in technology may continue to facilitate lower radiation dosing with CT.

“Whether it's the photon-counting CT machines or AI post-processing algorithms, there are multiple avenues to lower dosing … It's not going to be a one size fits all, or a silver bullet. It's going to be a combination of different technologies on the machine side, on the software side, that help us continually make these examinations safer and improve the risk benefit profile moving forward,” noted Dr. Cavallo, an assistant professor of radiology and biomedical imaging at Yale School of Medicine in New Haven, Ct.

Highlighting significant reductions with cardiac CT radiation dosing in recent years, Mahadevappa Mahesh, MS, Ph.D., also challenged perceptions about overuse of CT scans in the emergency room setting.

“Generally, emergency room physicians get the bad rap (with the perception that) they're ordering too many studies. … If we look (at this) closely, emergency room physicians, radiology, everybody (is) working with such a time-compressed timeline, and they're trying to save the patient. … As a medical physicist, I am all for radiation dose reduction, but at the same time, I am also a proponent of never tying anybody's hand because of radiation, even in the cath lab. If you have to do the procedure, do it,” asserted Dr. Mahesh. the president of the American Association of Physicists in Medicine (AAPM), and a professor of radiology and radiological sciences at the Johns Hopkins School of Medicine.

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

The Reading Room Podcast: Current Insights on Recent Research About Radiation-Induced Cancers with CT Scans, Part 1

What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk

Nine Takeaways from New Research on CT Scans and Radiation-Induced Cancers

For more insights from Dr. Cavallo and Dr. Mahesh, listen below or 

In a second part of a new podcast episode on recently published research on projected radiation-induced cancers from computed tomography (CT) scans, Mahadevappa Mahesh, MS, Ph.D., and Joseph Cavallo, M.D., offer current perspectives on cardiac CT dosing, AI advances and the importance of teamwork in ensuring appropriate dosing for CT. 

The Reading Room Podcast: Current Insights on Recent Research About Radiation-Induced Cancers with CT Scans, Part 2

, Anand Narayan, M.D., and Amy Patel, M.D., offer their perspectives on the challenges faced by radiologists — who are already grappling with increasingly high volume worklists and radiologist shortages — in implementing expanded breast cancer screening as per recently updated recommendations from the 

United States Preventive Services Task Force (USPSTF)

For breast cancer risk assessments, Dr. Patel said another challenge is that not all facilities have access to high-risk breast clinics or genetics programs, limitations that often fall upon the shoulders of breast imaging centers. Dr. Patel noted that artificial intelligence (AI) and possible implementation of a risk-based model with AI may have potential for facilitating appropriate triaging of patients.

In regard to practical steps radiologists can take to help raise awareness of new recommendations to help address disparities in breast cancer screening, Dr. Patel emphasized the importance of an ongoing dialogue with primary care providers.

“Keeping the lines of communication open with your referring providers is paramount. When new recommendations come down the pike, we as a breast imaging community really need to take it upon ourselves to educate our referring providers,” noted Dr. Patel, the medical director of the Liberty Hospital Breast Care Center in Kansas City and an assistant professor at the University of Missouri-Kansas City.

New Research Shows Consequences of Delayed Diagnosis in Mammography Screening

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 2

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 1

For more insights from Dr. Narayan and Dr. Patel, listen below or 

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists. 

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 3

A deep learning AI platform, which incorporated radiomic features including CT attenuation metrics, demonstrated a 93.6 percent AUC for detecting invasive adenocarcinoma on chest CT. 

Can AI-Enhanced Radiomics Improve Differentiation of Pulmonary Nodules on Chest CT?

In a study involving over 500 patients, researchers noted that the CT-based AI software led to a 24 percent increase of evaluations for aortic abdominal aneurysms within six months of detection.

Study Suggests Benefits of CT-Based AI in Detecting and Managing Patients with Aortic Abdominal Aneurysm 

The AI-powered Bunkerhill MAC software reportedly facilitates chest CT detection and quantification of mitral annular calcification, which has been linked to higher cardiovascular risk and related mortality.

FDA Clears CT-Based AI For Detection of Mitral Annular Calcification

The AI-powered Viz ACS platform may facilitate improved communication between clinicians and more rapid treatment for cases involving acute coronary syndrome.

Viz.ai Launches ECG Platform to Streamline Workflow for Patients with Acute Coronary Syndrome

In comparison to false positives with unassisted radiologist interpretations of DBT exams, AI-only false positive assessments were associated with a significantly higher total of false-positive findings as well as a 33 percent lower frequency of dense breasts, according to a new study of nearly 3,000 women who had screening DBT exams.

What a DBT Screening Study Reveals About False Positives with AI and Radiologist Assessments

In order to reduce dependence on siloed systems, juggling of multiple platforms and repetitive manual entry, Intelerad has launched the cardiovascular platform InteleHeart, which enables access to current and previous imaging, relevant clinical history and reporting all in one place.

By providing a thorough overview of a patient’s cardiovascular health history, Intelerad noted the 

 enhances efficiency with reduced reporting time and improved decision-making for personalized treatment.

, Morris Panner said InteleHeart combines cloud-based capabilities with enterprise imaging scalability and bolstered data interoperability that extends beyond the walls of a given health-care institution.

“It’s a cloud-based platform for very reliable and dependable workflows. You’re now able to integrate data more easily. If you put data in there once, it’s (available) across all settings of care and you’re able to use it remotely,” explained Panner, the president of Intelerad Medical Systems.

For radiologists, Panner pointed out that InteleHeart is integrated with the Intelerad’s radiology image sharing platform InteleShare as well as the company’s InteleOrchestrator system, which leverages artificial intelligence (AI) to facilitate efficient triage and resource allocation.

While data interoperability has been a longstanding challenge in radiology and the broader health care environment, Panner maintained that InteleHeart has the potential to foster easier data integration and improved access to cardiovascular history with a resulting enhanced focus on personalized patient care.

“In radiology, we're super focused on the image. In cardiology, I would say you're super focused on data, and the image is part of that,” noted Panner. “But what you're really trying to figure out is: ‘How is (the patient) looking over time, and what interventions do I want to take, and what has been the result of those interventions?’”

Current Insights on Interoperability, Enterprise Imaging and AI Integration in Radiology

FDA Issues Breakthrough Device Designation for AI-Powered Multi-Triage System for Computed Tomography

FDA Clears Emerging CT Device That Facilitates 50 Percent Reduction in CCTA Exam Time

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

Through improved data interoperability and access to patient histories, the cloud-based InteleHeart may facilitate improved communication and workflow efficiencies for radiologists and cardiologists.

Can the Emerging InteleHeart Platform Facilitate Improved Efficiency with Cardiology and Radiology?

Through enhanced data interoperability and access to patient histories, the cloud-based InteleHeart may facilitate better communication and workflow efficiencies for radiologists and cardiologists.

’s Weekly Scan, which offers an opportunity to catch up on the most well-viewed radiology content of the past week.

Journal of the American College of Radiology

preoperative breast MRI revealed additional suspicious lesions in over 50 percent of women slated to undergo surgery for newly diagnosed breast cancer

 and was associated with an 18 percent higher rate of mastectomy.

In a prospective study published earlier this week in 

comparable 10-year overall survival rates

 for people who had computed tomography (CT) surveillance (94.7 percent) and those who had surgery for ground-glass nodules (97.6 percent).

, Emmanuel S. Antonarakis, MD discussed contributing factors to the recent American Cancer Society report about rising prostate cancer incidence and 

offered insights about the potential role of the emerging radioligand agent 177Lu-PSMA-I&T for patients with mCRPC

, Manisha Bahl, MD, discussed new research, recently presented at the European Society of Breast Imaging, which showed 

significant associations between AI detection and the histologic grade and lymph node status of breast cancer

Earlier this week, the Society of Abdominal Radiology issued 

new consensus recommendations on the use of abdominal photon-counting CT

 in adults. Based on survey findings and subsequent voting from radiologists at nine facilities, researchers offered 20 recommendations on key protocol features.

Diagnostic Imaging’s Weekly Scan: October 5 — October 11

Catch up on the top radiology content of the past week.



Diagnostic Imaging's Weekly Scan: October 5 — October 11

The ongoing trend toward utilizing artificial intelligence (AI) for workflow optimization may represent “the most profound change for radiology,” according to Morris Panner, the president of Intelerad Medical Systems. However, in a recent interview with 

, Panner said a fundamental key to successful integration of AI starts with the answer of what you want it to accomplish.

“ … The challenge around integration is the following one: Where in the workflow do you want to integrate (AI) and what is it that you're trying to integrate? Are you trying to integrate prioritization? Are you trying to integrate measurements? Are you trying to integrate dictation? … What are your aspirations and what are your goals?,” posited Panner. “In some ways, I think with any new hot technology, the technology becomes the answer, and that really should never be the case. What you should start with is: ‘What is the answer? What do you want to do?’”

Panner maintained that AI is one piece of the larger puzzle for a profession striving for improved interoperability.

“It’s so dynamic today. At one point, I spoke to a radiologist who said, ‘We are all teleradiologists.’ In other words, they need to be able to work remotely. They need to be able to work in a lot of different care settings, because those care settings are expanding outside of the hospital,” pointed out Panner. “ … If you think about all the systems that now come into play around radiology, whether that's patient data from an electronic health record (or) increasing use of algorithms, whether it's for workflow or diagnostics, all of that has to get integrated.”

Panner said a number of cultural barriers thwart communication between different institutions in health care. These cultural barriers may include “cultural reticence (about) doing the wrong thing” with respect to appropriate communication channels between clinicians, professional pride and incentives to keep patients within a given health-care system, according to Panner. He suggested that cloud-based systems may help break down some of these barriers and silos.

“I think all of us in the industry are pushing towards (the) cloud, and one of the reasons why I think it's been so well received among our customers is that once you're in the cloud, you're able to get to a level of abstraction that enables you to use APIs (application programming interfaces) more agilely outside of just your proprietary network,” noted Panner.

How Cloud and AI Innovations Can Facilitate Remote Radiology Services

Can Rhapsody Image Director Improve Efficiency with Radiology Workflows?

Radiology Partners Launch Enterprise Imaging Platform MosaicO

In a recent interview, Morris Panner offered his perspective on cultural hurdles to interoperability in health care, emerging trends with enterprise imaging and an answer first approach to integrating AI in radiology.

Current estimates suggest that one woman dies from cardiovascular disease every 80 seconds and that over 450,000 women die from heart disease annually in the United States. In light of these sobering figures, breast radiologist Arthy Saravanan, M.D., said the advent of the Mammo Enhance Heart program, with its combined emphasis on breast cancer screening as well as cardiovascular risk assessment, could have a significant preventive impact for women’s health.

“The Mammo Enhance Heart program is specifically designed to take the screening mammogram that a patient gets and provide the additional layer of information that wasn't provided before, which is the identification of cardiovascular disease risk,” explained Dr. Saravanan in a recent interview with 

. “So it's really a two for one program, because the patient is not having any extra radiation, doesn't have any extra pain or discomfort or extra time spent to have this portion of their health evaluated. It is really an opportunistic screening measure.”

Dr. Saravanan emphasized that breast arterial calcification (BAC), detected on mammograms, is an established biomarker for cardiovascular disease risk and adverse events. She added that the FDA-cleared artificial intelligence (AI) tool used for the Mammo Enhance Heart program (developed by Radiology Partners) offers enhanced sensitivity for BAC detection with potential monitoring benefits in comparing successive mammography screening.

“The tool can also be used, I think, in terms of follow up in future imaging. Year after year, if a patient is coming back to us and getting a screening mammogram and chooses to have the Mammo Enhance Heart program, the tool can help to identify if these calcifications have increased, stayed the same, (or) whether those effects are getting worse over time,” posited Dr. Saravanan, an assistant professor in the Department of Diagnostic Medicine at the University of Texas, Austin.

Dr. Saravanan added that the Mammo Enhance Heart program, which also facilitates follow-up with cardiologists if necessary, enables radiologists to have an even broader impact in preventive care for women.

“I really think this is kind of a first step in how we as breast imagers and radiologists in general can add to fields and functions outside of our kind of capacity to help in the overall care of the patient. … It's not just breast cancer risk that we're assessing now. We're also looking a step ahead and a step further into heart disease risk and really kind of the overall holistic picture of how this might affect a woman's health,” pointed out Dr. Saravanan, the associate chief medical officer of recruitment for Radiology Partners.

New Mammo Enhance Heart Program to Enhance Dual Screening for Breast Cancer and Cardiovascular Disease

FDA Expands Clearance for AI Mammography Software for Breast Arterial Calcification Detection

New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection

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

In a recent interview, Arthy Saravanan, M.D., discussed the potential impact of the Mammo Enhance Heart program from Radiology Partners and its potential impact in facilitating dual screening for breast cancer and cardiovascular risk.

A Closer Look at the Mammo Enhance Heart Program: An Interview with Arthy Saravanan, MD

In a recent interview, Arthy Saravanan, M.D., discussed the recent launch of the Mammo Enhance Heart program from Radiology Partners and its potential impact in facilitating dual screening for breast cancer and cardiovascular risk.

New research presented at the European Society of Breast Imaging (EUSOBI) Annual Meeting suggests that artificial intelligence (AI) for digital breast tomosynthesis (DBT) provides greater than 90 percent detection of breast cancer and may also be significantly associated with histologic grade and lymph node status.

For the retrospective study, researchers examined the use of DBT-based AI (Genius AI® Detection 2.0, Hologic) in a cohort of 599 women (mean age of 66) with a total of 602 screening-detected breast cancer. According to the study, invasive carcinomas accounted for 80.1 percent of the screening-detected breast cancer with the remaining 19.9 percent being ductal carcinoma in situ (DCIS).

The researchers found positive AI scores in 93 percent of the cases. In a recent interview, lead study author Manisha Bahl, M.D., pointed out the correlation between higher AI scores and higher histologic grades. There was also a strong association between higher AI scores and lymph node involvement, according to Dr. Bahl.

“In our cohort, approximately 10 percent of women had positive lymph nodes at (the) time of diagnosis. That is, the breast cancer had metastasized to the ipsilateral axillary lymph nodes, and we found that lymph node positive tumors had significantly higher AI scores than lymph node negative tumors. The average AI score for lymph node positive tumors was 72 out of 100 which was significantly higher than the average AI score for lymph node negative tumors, which was 60,” observed Dr. Bahl, an associate professor of radiology at Harvard Medical School and director of the breast imaging fellowship program at Massachusetts General Hospital.

Noting little in the way of studies examining the use of AI scores as potential biomarkers of breast tumor biology, Dr. Bahl said the current study findings suggest expanded utility of AI beyond adjunctive detection in breast cancer screening pending future research.

“ … Genius AI Detection 2.0 has a high sensitivity for the detection of breast cancer. It can help us detect breast cancers and potentially reduce the false negative rate of screening mammography, which is an important metric. Now, in addition, our current study shows that AI could also serve as an imaging biomarker and provide insights into underlying tumor biology and tumor aggressiveness. Further research is needed to validate our findings and explore the clinical implications of these findings.”

Study Shows Higher Recall PPV and Lower False-Positive Recall Rate with Combination of DBT and Synthesized Mammography

Digital Breast Tomosynthesis Study Assesses Impact of Architectural Distortion on Malignancy Rates

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

In a recent interview, Manisha Bahl, M.D., discussed new research showing significant associations between AI detection and the histologic grade and lymph node status of breast cancer.

Mammography Research: Can Adjunctive AI for DBT Provide Insight into Tumor Biology with Breast Cancer?

In a new study, published earlier this week in the 

, researchers found that women, subspecialists and radiologists in non-academic settings had 

over a 25 percent higher attrition rate in radiology

 in comparison to men, general radiologists and academic radiologists over an eight-year period.

In a new study recently presented at the 41st Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), researchers found that for patients with relapsing multiple sclerosis, switching from oral therapies to subcutaneous monthly administration of the anti-CD20 monoclonal antibody ofatumumab led to over 

a 98 percent reduction of Gd+ T1 lesions on MRI at 96 weeks

In comparison to false positives with unassisted radiologist interpretations of DBT exams, 

AI-only false positive assessments were associated with a significantly higher total of false-positive findings

 as well as a 33 percent lower frequency of dense breasts, according to a new study of nearly 3,000 women who had screening DBT exams.

, researchers showed markedly higher sensitivity rates with the use of 

adjunctive AI for ischemic stroke detection on non-contrast CT exams

 but also noted a high degree of bias and lack of external validation in many of the studies.

, Partho Sengupta, M.D., and Davinder Ramsingh, Ph.D., discussed recent research demonstrating the capability of 

point-of-care ultrasound (POCUS) to facilitate reduced length of stay and significant cost savings

 in the management of patients with dyspnea.

Catch up on the top radiology content of the past week.

Diagnostic Imaging’s Weekly Scan: September 28 — October 4

Diagnostic Imaging's Weekly Scan: September 28 — October 4

New research, published earlier this week in 

MRI-based pancreatic risk stratification model (M-PRiSM)

 offers enhanced prognostic insight into postoperative survival for patients being treated for pancreatic ductal adenocarcinoma (PDAC).

In a prospective study, recently published in the 

, researchers found that deep learning image reconstruction (DLIR) may facilitate up to a 

45 percent reduction in radiation dosing with dual-energy computed tomography (DECT)

Speaking of radiation dosing, in a recent interview with 

, Dr. Rebecca Smith-Bindman discussed a new study, published in the 

impact of cumulative radiation exposure from medical imaging upon hematologic cancer risk in children

In a new 67-study meta-analysis published in 

PSMA PET offered significantly higher accuracy in detecting biochemical recurrence (BCR), lymph node metastasis and bone metastasis

 in comparison to multiparametric MRI (mpMRI) and computed tomography (CT).

combination of digital breast tomosynthesis (DBT) and molecular breast imaging (MBI)

 offered more than double the detection of invasive breast cancer with DBT in the first year of screening, according to a prospective study of nearly 3,000 women with dense breasts.

Diagnostic Imaging's Weekly Scan is your chance to catch up on the latest radiology content, from new research and device news to the latest interviews and conference reports. 

Diagnostic Imaging's Weekly Scan: September 21 — September 27

Welcome to Diagnostic Imaging’s Weekly Scan, which offers an opportunity to catch up on the most well-viewed radiology content of the past week.

Technology

Latest News