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VIDEO: Trends in Enterprise Imaging From Signify Research

Enterprise Imaging | January 13, 2022

Steve Holloway, company director at Signify Research, explains the trends he has seen over the past couple years in enterprise imaging. He spoke to ITN at the 2021 Radiological Society of North America meeting.

Holloway shared how medical imaging systems are expanding to include all departments in healthcare system enterprises that generate data, images and waveforms, so these items can be stored in a central location, rather than disparate silos or in separate systems requiring multiple logins or specific workstations. Most of these systems are are web enabled or web based, allowing users to work from anywhere as long as they have an internet connection. Most enterprise imaging systems also use a web-based vendor neutral archive, allowing DICOM and non-DICOM images to be stored there. All of these features allow easier and faster access to patient information and images.

He said these systems are becoming more inclusive of ologies outside of radiology and cardiology. Most notably is digital pathology, which was featured by many enterprise imaging vendors at RSNA 2021. 

Enterprise imaging systems are also accepting point-of-care ultrasound (POCUS), which has exploded in use over the past two years with COVID, Holloway said.

Find more RSNA news and video

VIDEO: Trends in Radiology IT seen at RSNA 2021 — Interview with Jef Williams, Paragon Consultants

VIDEO: Artificial Intelligence Trends in Medical Imaging — Interview with Sanjay Parekh, Ph.D, from Signify Research

VIDEO: Examples of Improved PACS Workflow to Aid Speed and Efficiency 

VIDEO: The New Normal of Home Workstations, Teleradiology and Remote Reading — Interview with Elizabeth Hawk, M.D.

Technology Report: Artificial Intelligence in Radiology 2021

Technology Report: Enterprise Imaging 2019
 

 

Radiology Imaging

Enterprise Imaging | January 13, 2022

Steve Holloway, company director at Signify Research, explains the trends he has seen over the past couple years in enterprise imaging. He spoke to ITN at the 2021 Radiological Society of North America meeting.

Holloway shared how medical imaging systems are expanding to include all departments in healthcare system enterprises that generate data, images and waveforms, so these items can be stored in a central location, rather than disparate silos or in separate systems requiring multiple logins or specific workstations. Most of these systems are are web enabled or web based, allowing users to work from anywhere as long as they have an internet connection. Most enterprise imaging systems also use a web-based vendor neutral archive, allowing DICOM and non-DICOM images to be stored there. All of these features allow easier and faster access to patient information and images.

He said these systems are becoming more inclusive of ologies outside of radiology and cardiology. Most notably is digital pathology, which was featured by many enterprise imaging vendors at RSNA 2021. 

Enterprise imaging systems are also accepting point-of-care ultrasound (POCUS), which has exploded in use over the past two years with COVID, Holloway said.

Find more RSNA news and video

VIDEO: Trends in Radiology IT seen at RSNA 2021 — Interview with Jef Williams, Paragon Consultants

VIDEO: Artificial Intelligence Trends in Medical Imaging — Interview with Sanjay Parekh, Ph.D, from Signify Research

VIDEO: Examples of Improved PACS Workflow to Aid Speed and Efficiency 

VIDEO: The New Normal of Home Workstations, Teleradiology and Remote Reading — Interview with Elizabeth Hawk, M.D.

Technology Report: Artificial Intelligence in Radiology 2021

Technology Report: Enterprise Imaging 2019
 

 

Coronavirus (COVID-19) | December 14, 2021

Jean Jeudy, M.D., professor of radiology and vice chair of informatics at the University of Maryland School of Medicine, presented a late-breaking study at the 2021 Radiological Society of North America (RSNA) meeting on COVID-19 linked myocarditis in college athletes. 

A small but significant percentage of college athletes with COVID-19 develop myocarditis, a potentially dangerous inflammation of the heart muscle, that can only be seen on cardiac MRI, according to the study Jeudy presented. Myocarditis, which typically occurs as a result of a bacterial or viral infection, can affect the heart’s rhythm and ability to pump and often leaves behind lasting damage in the form of scarring to the heart muscle. It has been linked to as many as 20% of sudden deaths in young athletes. The COVID-19 pandemic raised concerns over an increased incidence of the condition in student-athletes.

For the new study, clinicians at schools in the highly competitive Big Ten athletic conference collaborated to collect data on the frequency of myocarditis in student-athletes recovering from COVID-19 infection. Conference officials had required all athletes who had COVID-19 to get a series of cardiac tests before returning to play, providing a unique opportunity for researchers to collect data on the athletes’ cardiac status.

Thirty-seven of the athletes, or 2.3%, were diagnosed with COVID-19 myocarditis, a percentage on par with the incidence of myocarditis in the general population. However, an alarmingly high proportion of the myocarditis cases were found in athletes with no clinical symptoms. Twenty of the patients with COVID-19 myocarditis (54%) had neither cardiac symptoms nor cardiac testing abnormalities. Only cardiac MRI identified the problem.

Read more details in the article COVID-19 Linked to Heart Inflammation in College Athletes.

Find more RSNA news and video

Related COVID-19 Imaging and Myocarditis Content:

Overview of Myocarditis Cases Caused by the COVID-19 Vaccine

COVID-19 Linked to Heart Inflammation in College Athletes — RSNA 2021 late-breaker

Cardiac MRI of Myocarditis After COVID-19 Vaccination in Adolescents

Large International Study Reveals Spectrum of COVID-19 Brain Complications - RSNA 2021 late-breaker

COVID-19 During Pregnancy Doesn’t Harm Baby’s Brain

VIDEO: Large Radiology Study Reveals Spectrum of COVID-19 Brain Complications — Interview with Scott Faro, M.D.

FDA Adds Myocarditis Warning to COVID mRNA Vaccine Clinician Fact Sheets

Small Number of Patients Have Myocarditis-like Illness After COVID-19 Vaccination

Breast Imaging | December 13, 2021

Stamatia Destounis, M.D., FACR, chief of the American College of Radiology (ACR) Breast Commission, managing partner, Elizabeth Wende Breast Care, Rochester, N.Y., explains some of the key trends in breast imaging at the 2021  Radiological Society of North America (RSNA) meeting.

She discusses the trends of 3D mammography seeing rapid growth, adoption of synthetic 2D breast images from the tomosynthesis datasets, contrast-enhanced mammography, and breast MRI to help women with dense breast tissue. Destounis also discusses the use of artificial intelligence (AI) to help radiologists with finding what they needs with larger datasets in 3D mammography, and to help act as a second set of eyes.

Early in 2021, with the roll out of the COVID vaccines, one of the biggest headlines in radiology was that the vaccine can show false positives for cancer because it may cause inflammation of lymph nodes. Destounis explains this issue and how women's health centers have largely overcome this by asking patients about their vaccination status and planning imaging around the vaccination dates.

Related Breast Imaging Content:

COVID-19 Vaccine Can Cause False Positive Cancer Diagnosis

Help Spread Awareness of Potential COVID-19 Vaccine Imaging Side-effects

VIDEO: COVID Vaccine May Cause Enlarged Lymph Nodes on Mammograms — Interview with Constance "Connie" Lehman, M.D.

COVID-19 Vaccination Axillary Adenopathy Detected During Breast Imaging

VIDEO: COVID Vaccine Adenopathy Can Last Up to 10 Weeks — Interview with Yael Eshet, M.D.

VIDEO: Artificial Intelligence Trends in Medical Imaging — Interview with Signify Research

Technology Report: Artificial Intelligence in Radiology 2021

Find more RSNA news and video

Artificial Intelligence | December 08, 2021

Sanjay Parekh, Ph.D., Signify Research senior market analyst, explains some of the recent trends in the application of artificial intelligence (AI) in radiology at the 2021 Radiological Society of North America (RSNA) meeting.

He discusses three trends in AI at RSNA, including:
   • AI-based critical care team tools for rapid communication and assessment of patient imaging. This is activated by an AI first pass review of the images. This includes response team alerts for pulmonary embolism (PE), stroke, aortic dissection and acute heart failure.
   • AI systems now offering numerous algorithms to perform multiple tasks, rather than a single function, adding greater valve for those AI apps.
   • Greater integration of AI apps into PACS so it fits into the radiology workflow.

Find more AI news

Find more RSNA news and video

Coronavirus (COVID-19) | December 06, 2021

Kate Hanneman, M.D., MPH, FRCPC, director of cardiac imaging research JDMI, and the medical imaging site director at Toronto General Hospital, Women’s College Hospital, was an author on a recent overview of cardiac MRI assessments of non-ischemic myocardial inflammation caused by the COVID-19 vaccine. She presented this study and other related data at the 2021 Radiological Society of North America (RSNA) meeting. 

The rare side effect from the COVID vaccine is seen mainly in young men between ages 12-29. It appears to resolve on its own after a couple days, but longer term monitoring is needed to show if there is any lasting cardiac damage. A small number of single cases with follow up MRI imaging so far have not shown long term damage. 

Hanneman noted the incidence of vaccine-related myocarditis is very rare and people have a much high probability of getting much more serious COVID-viral myocarditis is they are not vaccinated. She said so the risk-vs-benefit analysis currently shows it is better to get vaccinated to prevent or lessen the effects of COVID. 

Related COVID-19 Imaging Content:

VIDEO: COVID-19 Linked to Heart Inflammation in College Athletes — Interview with Jean Jeudy, M.D.

Overview of Myocarditis Cases Caused by the COVID-19 Vaccine

COVID-19 Linked to Heart Inflammation in College Athletes — RSNA 2021 late-breaker

Cardiac MRI of Myocarditis After COVID-19 Vaccination in Adolescents

Large International Study Reveals Spectrum of COVID-19 Brain Complications - RSNA 2021 late-breaker

COVID-19 During Pregnancy Doesn’t Harm Baby’s Brain

VIDEO: Large Radiology Study Reveals Spectrum of COVID-19 Brain Complications — Interview with Scott Faro, M.D.

FDA Adds Myocarditis Warning to COVID mRNA Vaccine Clinician Fact Sheets

Small Number of Patients Have Myocarditis-like Illness After COVID-19 Vaccination

 

Coronavirus (COVID-19) | December 03, 2021

Scott Faro, M.D., professor of radiology and neurology and director, division of neuroradiology, head and neck, at Thomas Jefferson University, is the lead author on a large late-breaking study at the Radiological Society of North America (RSNA) 2021 meeting showing the neurological impact of COVID-19 on patients' brains. 

The 38,000-patient neurological imaging study showed about 10% of hospitalized COVID patients will have central nervous system (CNS) complications. These include cerebrovascular accident (CVA) such as ischemic strokes (62% of CNS cases reported), intracerebral hemorrhage (ICH - in 37% of cases) , encephalitis (5%), sinus venous thrombosis (SVT - 2%), acute disseminated encephalomyelitis (ADEM - 2%), posterior reversible encephalopathy syndrome (PRES - 2%), and vasculitis (0.5%).

Read more on this study 

Find more RSNA news and video

Radiation Therapy | November 15, 2021

Siemens and Philips demonstrated examples of new imaging software to convert MRI datasets into synthetic computed tomography (CT) datasets at the American Society of Radiation Oncology (ASTRO) 2021 meeting. The synthetic CT datasets can be used for radiotherapy treatment planning. This eliminates the need for a separate CT scan, reducing time and cost in patient care. 

The technology uses an algorithm to convert the MRI dataset into a CT grayscale Hounsfield units. The Hounsfield units correlate with the densities of the various tissues and are used to calculate the doses required and beam routes needed in radiotherapy to treat a patient.

Photo Gallery of Technologies at ASTRO 2021

Radiation Oncology Research Featured at ASTRO 2021

Find more radiation oncology technology news

Coronavirus (COVID-19) | October 19, 2021

An example of popliteal artery thrombosis formation caused by COVID-19 (SARS-CoV-2). Coronavirus often caused thrombus formation in the body, leading to numerous types of complications, including pulmonary embolism, stroke, heart attack, deep vein thrombosis (DVT) and ischemia or infarcts in various organs.

Related COVID ultrasound video clips: 

VIDEO: COVID Lung Ultrasound B-lines and Pleural Thickening

VIDEO: COVID Pneumonia Lung Consolidation on Ultrasound

This video clip is part of the examples from an RSNA journal Radiographics article on the radiology presentations and complications of the COVID virus and which modalities can best image these features. Here are links to the two articles:

Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications. 

Multisystem Imaging Manifestations of COVID-19, Part 2: From Cardiac Complications to Pediatric Manifestations

The video is from the study lead-author Margarita Revzin, M.D., MS, FSRU, FAIUM, associate professor of radiology and biomedical imaging, Yale University School of Medicine, abdominal and emergency imaging, radiologist. She explains more details in the VIDEO: Overview COVID-19 Imaging Techniques Using X-ray, CT, MRI and Ultrasound.

 

Find more COVID medical imaging in the PHOTO GALLERY: How COVID-19 Appears on Medical Imaging

Coronavirus (COVID-19) | August 31, 2021

Several radiology IT vendors at 2021 Healthcare Information Management Systems Society (HIMSS) conference demonstrated computed tomography (CT) imaging advanced visualization software software to help automatically identify and quantify COVID-19 pneumonia in the lungs. These tools can help speed assessment of the lung involvement and serial tracking can be used to assess the patient's progress in the hospital and during long-COVID observation. 

Examples of COVID analysis tool shown in this video include clips from booth tours at: 
   • Fujifilm
   • Siemens Healthineers 
   • Canon (Vital)

Canon received FDA clearance for its tool under and emergency use authorization (EUA).

Siemens said its tool was part of its lung analysis originally developed for cancer but modified and prioritized to aid in COVID assessments. 
 

HIMSS Related Content:

Advances in CVIS and Enterprise iImaging at HIMSS 21

Photo Gallery of New Technologies at HIMSS 2021

VIDEO: Importance of Body Part Labeling in Enterprise Imaging — Interview with Alex Towbin, M.D.

VIDEO: Coordinating Followup for Radiology Incidental Findings — Interview with David Danhauer, M.D.

VIDEO: Cardiology AI Aggregates Patient Data and Enables Interactive Risk Assessments

VIDEO: Example of Epsilon Strain Imaging Deep Integration With Siemens CVIS

 

Enterprise Imaging | August 06, 2021

Integrated Speech recognition solutions are becoming a necessary part of radiology reporting platforms. Konica Minolta recently announced a partnership with nVoq to integrate a speech to text solution into their Exa Platform

ITN recently spoke with Kevin Borden, Vice President of Product, Healthcare IT for Konica Minolta and Chad Hiner, Vice President of Customer Experience for nVoq, to talk about how this integration is improving the Exa user experience.

Related enterprise imaging content:

Talking Trends with Konica Minolta

BLOG: Zero-footprint Viewer with Server-side Rendering Pushes Imaging Forward During Pandemic

BLOG: Exa Gateway Offers a New Way to Deliver Teleradiology 

BLOG: Artificial Intelligence for Clinical Decision Support and Increased Revenues

BLOG: The Power of the Next Generation of RIS

 

Coronavirus (COVID-19) | May 11, 2021

Yael Eshet, M.D., MSc, a diagnostic radiology specialist at Sheba Medical Center in Israel, was the lead author on a recent study that showed COVID-19 (SARS-CoV-2) vaccine adenopathy can persist more than 6 weeks. This swelling of lymph nodes is similar to what is seen cancer and infections and the new findings show it can last longer than 7-10 weeks. The current recommended time people should delay medical imaging is 6 weeks after receiving a COVID vaccine to avoid a misdiagnosis,[2] but this new study shows there is increased inflammation shown on PET-CT imaging for much longer.

These were the findings in the Radiology published study "Prevalence of Increased FDG PET/CT Axillary Lymph Node Uptake Beyond 6 Weeks after mRNA COVID-19 Vaccination."[1]

Researchers using fluorodeoxyglucose (FDG)-positron emission tomography (PET) have found increased FDG uptake in the lymph nodes of patients 7-10 weeks past their second mRNA-based Pfizer-BioNTech COVID-19 vaccination. This new information indicates a persistent immune response that could be mistaken on imaging exams for serious conditions like lymphoma over a much longer period of time.

Recent recommendations for post-vaccine lymphadenopathy advise scheduling routine imaging, such as screening mammography, before, or at least 6 weeks after, the final vaccination dose to eliminate false positive results. However, this new research showed that avid axillary lymph node uptake was present beyond 6 weeks after the second vaccination in more than 29% of the patients in the study cohort.

The authors stated “This study shows that avid axillary lymph node uptake on FDG PET/CT can be detected in more than a quarter of our patient population even beyond 6 weeks after the second dose of the mRNA-based COVID-19 vaccination. Compared to a previous study showing normalization of FDG uptake within 40 days of receiving an inactivated H1N1 influenza vaccine, we found uptake persistence even at 70 days. Physicians should be aware of this potential pitfall.”

Some images in this video are from another Radiology study, which showed PET tracer uptake at the COVID vaccine injection site and other examples of axillary adenopathy.[3]

 

Related COVID Vaccine Axillary Adenapathy Content:

COVID-19 Vaccine Can Cause False Positive Cancer Diagnosis

Help Spread Awareness of Potential COVID-19 Vaccine Imaging Side-effects

VIDEO: COVID Vaccine May Cause Enlarged Lymph Nodes on Mammograms — Interview with Constance "Connie" Lehman, M.D.

COVID-19 Vaccination Axillary Adenopathy Detected During Breast Imaging

PHOTO GALLERY: How COVID-19 Appears on Medical Imaging

CMS Now Requires COVID-19 Vaccinations for Healthcare Workers by January 4

Find more radiology related COVID content 

References:

1. Yael Eshet, Noam Tau1, Yousef Alhoubani, Nayroz Kanana, Liran Domachevsky, Michal Eifer. Prevalence of Increased FDG PET/CT Axillary Lymph Node Uptake Beyond 6 Weeks after mRNA COVID-19 Vaccination. Radiology. Published Online:Apr 27 2021https://doi.org/10.1148/radiol.2021210886.

2. Constance D. Lehman, Leslie R. Lamb, and Helen Anne D'Alessandro. Mitigating the Impact of Coronavirus Disease (COVID-19) Vaccinations on Patients Undergoing Breast Imaging Examinations: A Pragmatic Approach American Journal of Roentgenology. 10.2214/AJR.21.25688.

3. Can Özütemiz, Luke A. Krystosek, An L. Church, Anil Chauhan, Jutta M. Ellermann, Evidio Domingo-Musibay, Daniel Steinberger. Lymphadenopathy in COVID-19 Vaccine Recipients: Diagnostic Dilemma in Oncology Patients. Radiology. Published Online:Feb 24 2021https://doi.org/10.1148/radiol.2021210275.

 

Point-of-Care Ultrasound (POCUS) | April 01, 2021

Here are two quick clinical examples of point-of-care ultrasound (POCUS) lung imaging and cardiac imaging using a GE Vscan Air device. The examples show an abnormal lung image with B-lines. The second clip shows a healthy heart in a parasternal color Doppler image.

The GE Healthcare Vscan Air is a cutting-edge, wireless pocket-sized ultrasound that provides crystal clear image quality, whole-body scanning capabilities, and intuitive software. The pocket-sized ultrasound system was originally introduced in 2010, and as of early 2021, there are over 30,000 Vscan systems in use. The new Vscan Air features a wireless ultrasound probe.

Read more in the article GE Healthcare Unveils Vscan Air Wireless Handheld Ultrasound

Find more POCUS news and video

Breast Imaging | March 26, 2021

Constance "Connie" Lehman, M.D., Ph.D., chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital, and professor of radiology at Harvard Medical School, explains issues and suggested guidelines for women who receive the COVID-19 vaccine and need to get a mammogram. In the first three months since the vaccines have been released, there have been numerous case reports of the vaccine causing swollen lymph nodes. This is would usually raise a red flag for breast cancer, but is normal for many women receiving the vaccine as their body's immune system gears up against the virus. 

Lehman said cases reports of axillary adenopathy have been identified on breast imaging after coronavirus disease (COVID-19) vaccination and are rising. Lehman et al. proposed a pragmatic management approach in a recent article in the American Journal of Roentgenology (AJR).[1]

In the settings of screening mammography, screening MRI and diagnostic imaging work-up of breast symptoms, with no imaging findings beyond unilateral axillary adenopathy ipsilateral to recent (prior six weeks) vaccination, they report the adenopathy as benign with no further imaging indicated if no nodes are palpable six weeks after the last vaccine dose. 

For patients with palpable axillary adenopathy in the setting of ipsilateral recent vaccination, clinical follow-up of the axilla is recommended. In all these scenarios, axillary ultrasound is recommended if clinical concern persists six weeks after vaccination. 

In patients with recent breast cancer diagnosis in the pre- or peri-treatment setting, prompt recommended imaging is encouraged as well as vaccination (in the thigh or contralateral arm). The recommendations align with the ACR BI-RADS Atlas and aim to: 1) reduce patient anxiety, provider burden, and costs of unnecessary evaluation of enlarged nodes in the setting of recent vaccination, and 2) avoid further delays in vaccinations and breast cancer screening during the pandemic.

 

Related Medical Imaging of COVID Content:

COVID-19 Vaccination Axillary Adenopathy Detected During Breast Imaging

CMS Now Requires COVID-19 Vaccinations for Healthcare Workers by January 4

PHOTO GALLERY: How COVID-19 Appears on Medical Imaging

VIDEO: Imaging COVID-19 With Point-of-Care Ultrasound (POCUS) — Interview with Mike Stone, M.D.

VIDEO: Use of Teleradiology During the COVID-19 Pandemic — Interview with John Kim, M.D.

Find more radiology related COVID content 

 

Reference:

1. Constance D. Lehman, Leslie R. Lamb, and Helen Anne D'Alessandro. Mitigating the Impact of Coronavirus Disease (COVID-19) Vaccinations on Patients Undergoing Breast Imaging Examinations: A Pragmatic Approach American Journal of Roentgenology. 10.2214/AJR.21.25688

 

 

Magnetic Resonance Imaging (MRI) | March 19, 2021

Darryl B. Sneag, M.D., a radiologist and director of peripheral nerve MRI at the Hospital for Special Surgery (HSS) in New York City, explains how artificial intelligence (AI) magnetic resonance imaging (MRI) reconstruction algorithms have cut imaging times by 50 percent. This has enabled his facility to maintain the same number of patients as it did prior to the pandemic, while still having time to sterilize the scanners after each patient. 

Many radiology departments are now experiencing a backlog of cases due to COVID-19 shutdowns in 2020 and the limits on the number of patients that can be in the hospital for imaging exams due to pandemic containment precautions. Sneag said AI is now playing a role in helping streamline workflow.

HSS has 19 GE Healthcare MRI scanners and uses the Air Recon DL AI image reconstruction algorithm. This allows for shorter scan times, so the same number of patients as pre-pandemic can be imaged per day, even with deeper cleaning of the MRI bore. Sneag explains the algorithm has greatly helped with patient throughput, but the trade off is sometimes getting a ringing artifact on images.

HSS also uses GE's Air Coil flexible pad MRI coils. These can wrap around the patient to improve comfort and get the coils closer to the anatomy being imaged.

 

Related MRI and COVID Content:

Business During COVID-19 and Beyond

Imaging Volumes Hold Steady Post COVID-19 Closures

GE Healthcare Addresses Growing Radiology Data Challenges at RSNA 2019

Technology is Driving the MRI Market

VIDEO: How to Image COVID-19 and Radiological Presentations of the Virus

Top Trend Takeaways in Radiology From RSNA 2020

Post-COVID Pain or Weakness? Request an Ultrasound or MRI

Find more COVID radiology-related content

 

Coronavirus (COVID-19) | November 15, 2020

Margarita Revzin, M.D., MS, FSRU, FAIUM, associate professor of radiology and biomedical imaging, Yale University School of Medicine, abdominal and emergency imaging, radiologist, explains how different medical imaging modalities are used to image manifestations of the COVID-19 (SARS-CoV-2) virus in patients. She is the lead author on a two-part article in the RSNA journal Radiographics that provides a comprehensive overview of coronavirus imaging. 

The articles offer numerous case images from X-ray, ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI). Revzin also discusses some of the radiology presentations and complications of the virus and which modalities can best image these features. Here are links to the two articles:

Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications. 

Multisystem Imaging Manifestations of COVID-19, Part 2: From Cardiac Complications to Pediatric Manifestations

Although COVID-19 predominantly affects the respiratory system, other organs can also be involved. The authors of the articles said imaging plays an essential role in the diagnosis of all manifestations of the disease, as well as its related complications, and proper utilization and interpretation of imaging examinations is crucial. As the virus continues to spread, a comprehensive understanding of the diagnostic imaging hallmarks, imaging features, multisystemic involvement, and evolution of imaging findings is essential for effective patient management and treatment. Only a few articles had been published that comprehensively describe the multisystemic imaging manifestations of COVID-19 prior to this article series, published in the fall of 2020. The authors provide an inclusive system-by-system image-based review of this life-threatening and rapidly spreading infection. In part 1 of this article, the authors discuss general aspects of the disease, with an emphasis on virology, the pathophysiology of the virus, and clinical presentation of the disease. Part 2 focuses on key imaging features of COVID-19 that involve the cardiac, neurologic, abdominal, dermatologic and ocular, and musculoskeletal systems, as well as pediatric and pregnancy-related manifestations of the virus.

Most of the images in the video are from the articles. Find more COVID medical imaging in the PHOTO GALLERY: How COVID-19 Appears on Medical Imaging.

VIDEO: Example of COVID Thrombosis on Ultrasound Imaging

 

Coronavirus (COVID-19) | February 09, 2021

Margarita Revzin, M.D., MS, FSRU, FAIUM, associate professor of radiology and biomedical imaging, Yale University School of Medicine, abdominal and emergency imaging, radiologist,  explains how different medical imaging modalities are used to image manifestations of the COVID-19 (SARS-CoV-2) virus in patients. She is the lead author on a two-part article in the RSNA journal Radiographics that provides a comprehensive overview of coronavirus imaging.

The articles offer numerous case images from X-ray, ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI). Revzin also discusses some of the radiology presentations and complications of the virus and which modalities can best image these features. Here are links to the two articles:

Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications. 

Multisystem Imaging Manifestations of COVID-19, Part 2: From Cardiac Complications to Pediatric Manifestations

Although COVID-19 predominantly affects the respiratory system, other organs can also be involved. The authors of the articles said imaging plays an essential role in the diagnosis of all manifestations of the disease, as well as its related complications, and proper utilization and interpretation of imaging examinations is crucial. As the virus continues to spread, a comprehensive understanding of the diagnostic imaging hallmarks, imaging features, multisystemic involvement, and evolution of imaging findings is essential for effective patient management and treatment. Only a few articles had been published that comprehensively describe the multisystemic imaging manifestations of COVID-19 prior to this article series, published in the fall of 2020. The authors provide an inclusive system-by-system image-based review of this life-threatening and rapidly spreading infection. In part 1 of this article, the authors discuss general aspects of the disease, with an emphasis on virology, the pathophysiology of the virus, and clinical presentation of the disease. Part 2 focuses on key imaging features of COVID-19 that involve the cardiac, neurologic, abdominal, dermatologic and ocular, and musculoskeletal systems, as well as pediatric and pregnancy-related manifestations of the virus

Most of the images in the video are from the articles. Find more COVID medical imaging in the PHOTO GALLERY: How COVID-19 Appears on Medical Imaging.

 

Related Medical Imaging of COVID Content:

VIDEO: What Does COVID-19 Look Like in Lung CT Scans 

PHOTO GALLERY: How COVID-19 Appears on Medical Imaging

VIDEO: Imaging COVID-19 With Point-of-Care Ultrasound (POCUS) — Interview with Mike Stone, M.D.

VIDEO: COVID Vaccine May Cause Enlarged Lymph Nodes on Mammograms — Interview with Constance "Connie" Lehman, M.D., Mass General Hospital

VIDEO: Use of Teleradiology During the COVID-19 Pandemic — Interview with John Kim, M.D.
 

VIDEO: Radiology Industry Responding to COVID-19 — Interview with Jeffrey Bundy, Ph.D.

CT in a Box Helps Rapidly Boost Imaging Capability at COVID Surge Hospitals

VIDEO: How China Leveraged Health IT to Combat COVID-19 — Interview with Jilan Liu, M.D.

Find more radiology related COVID content 

Coronavirus (COVID-19) | January 26, 2021

This is an example of a COVID-19 (SARS-CoV-2) positive patient's lung computed tomography (CT) scan. The video scrolls through the image slices of the scan and shows the typical white, ground glass opacities (GGO) caused by COVID pneumonia. The pneumonia typically appears along the walls of each lobe of the lung, especially the chest wall and the lower portions of the lungs. This scan is from a Canon Aquilion Prime SP CT scanner and used Advanced intelligent Clear-IQ Engine (AiCE), an artificial intelligence-driven image reconstruction software to improve image quality of lower-dose scans. This was shown by Canon Medical as an exmaple of CT image quality for the virus at the 2020 Radiological Society of North American (RSNA) meeting. 

Read more about this system and its launch in 2020 to address COVID, Canon Medical Launches CT Solution for Patients with Viral Infectious Diseases.

VIDEO: How to Image COVID-19 and Radiological Presentations of the Virus interview with Margarita Revzin, M.D., associate professor of radiology and biomedical imaging, Yale School of Medicine.

Find more radiology clinical images of coronavirus in this photo gallery.

Find more radiology related COVID news and video

PET-CT | December 04, 2020

This is an example of Canon's Advanced intelligent Clear-IQ Engine (AiCE) AI-driven image reconstruction software that is now being used to improve image quality on the Canon Celesteion Prime PET/CT nuclear imaging system. The deep learning is used to enhance the iterative reconstruction used to reduce noise and sharped high contrast resolution on positron emission tomography (PET) images from the digital PET detector used on the system. 

This example is a whole-body FGD PET scan of a patient with a large BMI with lung cancer.

The Cartesion Prime PET/CT is the industry’s only air-cooled digital PET/CT, provides variable bed time (vBT) acquisition as a standard feature. This and the new FDA 510(k)-pending AiCE technology were highlighted at the 2020 Radiological Society of North America (RSNA) virtual meeting. 

Find more RSNA news

 

Artificial Intelligence | December 02, 2020

Kirti Magudia, M.D., Ph.D., an abdominal imaging and ultrasound fellow at the University of California San Francisco, explains how an automated deep learning analysis of abdominal computed tomography (CT) images can produce a more precise measurement of body composition and better predicts major cardiovascular events, such as heart attack and stroke, better than overall weight or body mass index (BMI). This was according to a study she presented at the 2020 Radiological Society of North America (RSNA) virtual meeting.

Unlike BMI, which is based on height and weight, a single axial CT slice of the abdomen visualizes the volume of subcutaneous fat area, visceral fat area and skeletal muscle area. However, manually measuring these individual areas is time intensive and costly. A multidisciplinary team of researchers, including radiologists, a data scientist and biostatistician, developed a fully automated artificial intelligence (AI) method to determine body composition metrics from abdominal CT images.

Statistical analysis demonstrated that visceral fat area was independently associated with future heart attack and stroke. BMI was not associated with heart attack or stroke. 

Read more about this study

Find more RSNA news

Information Technology | December 01, 2020

Treating cancer effectively often includes a combination of patient therapies. In recent years, technology advancements have led to a more efficient and personalized approach to treatment. Andrew Wilson, President of Oncology Informatics at Elekta, discussed the latest software advancements with ITN.

Remote Viewing Systems | November 28, 2020

Konica Minolta’s theme for RSNA 2020 is Depth of Vision. ITN recently talked with David Widmann, President and CEO of Konica Minolta Healthcare Americas, about this focus and their key messages for customers and RSNA attendees.

X-Ray | November 28, 2020

Agfa is looking to transform X-ray with new advancements in volumetric imaging, and with new mobile concepts and implementation of intelligent tools. ITN had a conversation with Georges Espada on Transforming X-ray with Intelligent Tools. 

Enterprise Imaging | November 23, 2020

Fujifilm's next generation secure server-side viewer platform extends across enterprise imaging areas to bring together radiology, mammography and cardiology into a single zero footprint platform. Bill Lacy, vice president of medical informatics for Fujifilm Medical Systems USA recently talked with ITN about their Synapse 7x platform.

Coronavirus (COVID-19) | November 20, 2020

This video shows a computed tomography (CT) scroll through showing bowel ischemia and perforation (see arrows) due to superior mesenteric artery (SMA) thrombus in COVID-19 (SARS-CoV-2) patient. Mesenteric artery thrombosis (MAT) is a condition involving occlusion of the arterial vascular supply of the intestinal system and is a severe and potentially fatal illness. 

Superior mesenteric artery thrombosis (Red arrow) complicated by bowel ischemia and perforation in a 54-year-old man who presented to the emergency department with abdominal pain and was diagnosed with COVID-19. Contrast-enhanced CT images of the abdomen and pelvis show mucosal hyperenhancement involving the small bowel (green arrows).

Read more in the article Multisystem Imaging Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications.

Case example from Margarita Revzin, M.D., associate professor of radiology and biomedical imaging, Yale School of Medicine.

VIDEO: How to Image COVID-19 and Radiological Presentations of the Virus — Interview with Margarita Revzin, M.D.,

See more medical imaging of COVID-19 in the photo gallery How COVID-19 Appears on Medical Imaging.

 

Related COVID Radiology Content:

VIDEO: COVID-19 Pneumonia Chest CT Scan Scroll Through

CT Imaging of the 2019 Novel Coronavirus (2019-nCoV) Pneumonia

Chest CT Can Distinguish Negative From Positive Lab Results for COVID-19

VIDEO: CT Sees Increased Use During COVID-19

Handheld Ultrasound Used to Monitor COVID-19 Patients With Cardiac Complications

Study Looks at CT Findings of COVID-19 Through Recovery

Using Lung X-rays to Diagnose COVID-19

VIDEO: Use of Teleradiology During the COVID-19 Pandemic — Interview with John Kim, M.D.
 

 

 

Artificial Intelligence | November 11, 2020

Artificial Intelligence (AI) is becoming more common place in radiology practices, and emerging technologies are providing radiologists with sophisticated detection software to aid their reading and provide support for a busy workflow. With the progression of AI technology, vendors must look not only at what AI can do for the radiologist, but how the radiologist and the technician interact with that technology –  the goal should be increasing accuracy while also positively improving workflow. GE Healthcare is working to improve radiology AI workflow in its Centricity Universal Viewer.

Three key opinion leaders offers their views on what is needed to make AI more valauble and accessible to radiologists. These include:

   • Amy Patel, M.D., breast radiologist, medical director, Liberty Hospital Women's Imaging, assistant professor of radiology, University of Missouri-Kansas City.

   • Prof. Dr. Thomas Frauenfelder, M.D., vice chairman and professor of thoracic radiology, Institute for Diagnostic and Interventional Radiology, University of Zurich.

   • Randy Hicks, M.D., chief executive officer, Regional Medical Imaging.

 

Learn more about the Centricity Universal Viewer in the VIDEO: How GE Healthcare’s Zero Footprint Remote Image Viewer Supports Clinical Care

 

 

 

 

 

Artificial Intelligence | October 26, 2020

GE Healthcare is highlighting artificial intelligence (AI) automation features on its Voluson Swift ultrasound platform at the 2020 Radiological Society of North America (RSNA) virtual meeting. Features of this system include semi-automated contouring, auto identification of fetal anatomy and positioning on imaging, 

The new SonoLyst AI software can auto recognize 20 standard fetal views in the second trimester protocol. The goal is to speed exam times and make the exams more accurate, even for less experienced sonographers. The AI can tell users what any image is when they freeze the frame. This can be used to help cue up measurements and appropriate annotations. The AI also can tell th user if all the required anatomical structures are in an image needed for the exam protocols.
 

Find more RSNA news and video

MRI Breast | October 14, 2020

Professor Christiane Kuhl, M.D., director of radiology, University Hospital Aachen, Germany, explains how breast magnetic resonance imaging (MRI) can be used to clearly identify breast cancers in women with dense breast tissue. In women with dense breasts, it can be very difficult to detect many cancers on standard mammograms because the cancers and dense tissue both appear white. MRI can help clearly define tumors and identify which nodules are cancer and which are benign, which can help greatly reduce the need for biopsies.

Kuhl is an expert in breast imaging and breast MRI. She helped develop an a shortened MRI protocol that allows breast MR images to be created in 3 minutes or less, rather than standard protocols that can take up to 30 minutes. In the interview she shows patient case examples of standard mammograms and the MRI supplemental imaging for the same patient to show the hidden tumors. 

She also explains the differences between standard 2-d mammography, the current standard of care, and the newer 3-D mammogram tomosythnesis technology, breast ultrasound and breast MRI technologies.

Other video interviews with Dr. Kuhl:

VIDEO: Explaining Dense Breasts

VIDEO: The Impact of COVID-19 on Breast Imaging

 

Related Breast MRI Content:

Abbreviated MRI Outperforms 3-D Mammograms at Finding Cancer in Dense Breasts

VIDEO: Explaining Dense Breasts — Interview with Christiane Kuhl, M.D.

VIDEO: Use of Breast MRI Improved Cancer Detection in Dense Breasts in Dutch Study — Interview with Gillian Newstead, M.D.

Technologies to Watch in Breast Imaging

Screening MRI Detects BI-RADS 3 Breast Cancer in High-risk Patients

Rapid Breast MRI Screening Improves Cancer Detection in Dense Breasts

Breast MRI in Cancer Diagnosis
 

Coronavirus (COVID-19) | October 14, 2020

Professor Christiane Kuhl, M.D., director of radiology, University Hospital Aachen, Germany, explains how the COVID-19 (SARS-CoV-2) pandemic has impacted screening mammography and raised fears there will be a large increase in more advanced breast cancer cases in the near future as sizable numbers of women skip their annual exams this year. Kuhl also explains the COVID safety protocols most breast imaging centers are taking to limit any potential exposure to the virus from asymptomatic patients.

Other video interviews with Dr. Kuhl:

VIDEO: Explaining Dense Breasts

VIDEO: Use of Breast MRI Screening in Women With Dense Breasts

 

How COVID Has Disrupted Screening Mammography and The Urgency to Resume Screenings:

Breast Imaging in the Age of Coronavirus

Half of Breast Cancer Survivors Had Delays in Care Due to COVID-19

Insight on the Impact of COVID-19 on Medical Imaging

Delay in Breast Cancer Operations Appears Non Life-threatening for Early-stage Disease

Hologic and Sheryl Crow Begin Back to Screening Campaign

A Slow Return to Normalcy in Breast Imaging

Breast Density | October 13, 2020

Professor Christiane Kuhl, M.D., director of radiology, University Hospital Aachen, Germany, explains what it means to have dense breasts and how density can hide cancers in mammograms. She offers an explanation describing dense breast tissue and that this occurs in about half of women. Density is itself a risk factor for breast cancer and the fact that dense tissue hides cancers on mammography means that supplemental imaging is needed to accurately diagnose these patients and avoid false positives, or needless tissue biopsies. Breast ultrasound and breast magnetic resonance imaging (MRI) can be used to see through dense tissue to better identify cancers and avoid the need for many biopsies.

Other video interviews with Dr. Kuhl:

VIDEO: Use of Breast MRI Screening in Women With Dense Breasts

VIDEO: The Impact of COVID-19 on Breast Imaging

 

Related Dense Breast Content:

Breast Density Explained

Animation to Bring Clarity to Dense Breasts

Improving Clinical Image Quality for Breast Imaging

Breast Imaging in the Age of Coronavirus

Abbreviated MRI Outperforms 3-D Mammograms at Finding Cancer in Dense Breasts

VIDEO: Use of Breast MRI Improved Cancer Detection in Dense Breasts in Dutch Study — Interview with Gillian Newstead, M.D.

Technologies to Watch in Breast Imaging

Screening MRI Detects BI-RADS 3 Breast Cancer in High-risk Patients

 

Artificial Intelligence | September 25, 2020

Ernest Garcia, Ph.D., MASNC, FAHA, endowed professor in cardiac imaging, director of nuclear cardiology R&D laboratory, Emory University, developer of the Emory Cardiac Tool Box used in nuclear imaging and past-president of the American Society of Nuclear Cardiology (ASNC), explains the use of artificial intelligence (AI) in cardiac imaging. He said there is a tsunami of new AI applications that are starting to flood the FDA for market approval, and there are several examples of AI already in use in radiology. He spoke on this topic in a keynote session at the 2020 ASNC meeting.

 

Related Artificial Intelligence in Cardiology Content:

VIDEO: Machine Learning for Diagnosis and Risk Prediction in Nuclear Cardiology — Interview with Piotr J. Slomka, Ph.D.,

Artificial Intelligence Applications in Cardiology

VIDEO: Artificial Intelligence May Improve Cath Lab Interventions — Interview with Nick West, M.D., Abbott CMO

How Artificial Intelligence Will Change Medical Imaging

VIDEO: Artificial Intelligence for Echocardiography at Mass General — Interview with Judy Hung, M.D.

VIDEO: ACC Efforts to Advance Evidence-based Implementation of AI in Cardiovascular Care — Interview with John Rumsfeld, M.D.

VIDEO: Overview of Artificial Intelligence and its Use in Cardiology — Interview with Anthony Chang, M.D.

For more AI in cardiology content

Coronavirus (COVID-19) | September 15, 2020

Case is a 6-month-old infant boy admitted to hospital due to respiratory distress then worsened by a pericardial effusion and solitary kidney and renal failure. Diagnosed as multisystem inflammatory syndrome in children (MIS-C) due to COVID-19 exposure. Cardiac ultrasound case submitted to ITN by Mohamed Shahwan, European Gaza Hospital. 

 

Related Content on MIS-C:

Kawasaki-like Inflammatory Disease Affects Children With COVID-19

Case Study Describes One of the First U.S. Cases of MIS-C

NIH-funded Project Wants to Identify Children at Risk for MIS-C From COVID-19

New Study Looks at Post-COVID-19 Emerging Disease in Children

Cardiac MRI Aids Evaluation of Children With Multisystem Inflammatory Syndrome (MIS-C) Associated With COVID-19

The Cardiovascular Impact of COVID-19

Remote Viewing Systems | September 09, 2020

Enterprise viewers are designed to provide fast and easy access to a patient’s imaging history, and today’s modern healthcare systems require a clinical viewer capable of meeting the diverse needs of a large group of users. GE Healthcare’s Zero Footprint Viewer can quickly and easily display digital images, video clips and cine loops from any department and on many different devices.

It provides access to images and reports from anywhere, whether it’s on the hospital floor, in surgery, in clinic or at home, to allow clinicians to access and develop clinical insights that deliver patient results and drive operational efficiencies.

Learn more at https://www.gehealthcare.com/products/healthcare-it/enterprise-imaging/centricity-universal-viewer-zero-footprint

Ultrasound Imaging | August 13, 2020

This is a tutorial video on how to perform an artificial intelligence (AI) automated cardiac ejection fraction measurement using the GE Healthcare Vscan Extend point-of-care ultrasound (POCUS) system and the LVivo EF app, developed and licensed by DiA Imaging Analysis. This FDA-cleared app enables an automated edge detection of left ventricular endocardium and calculates end-diastolic, end-systolic volumes and ejection fraction, using apical 4-chamber view.

the LVivo EF app was showcased by GE Healthcare in its virtual booth at the American Society of Echocardiography (ASE) 2020 virtual meeting. POCUS imaging has emerged as a primary imaging modality for bedside assessment of COVID-19 patients in 2020.

 

Related ASE News and POCUS Content:

VIDEO: Automated Cardiac Ejection Fraction for Point-of-care-ultrasound Using Artificial Intelligence

LVivo EF Comparable to MRI, Contrast Echo in Assessing Ejection Fraction

GE Highlights New Echocardiography Technologies at ASE 2020

Other ASE news and video

Cardiac Imaging | August 12, 2020

Advanced visualization company Medis recently purchased Advanced Medical Imaging Development S.r.l. (AMID), which developed software to automatically track and measure strain in echocardiograms. That technology is now being adapted for strain imaging in CT and MRI. Using this imaging data, the software also can noninvasively derive pressure gradient loops and curves, similar to using invasive pulmonary arterial (PA) hemodynamic pressure catheters. This information is useful in monitoring critically ill patients on hemodynamic support and to monitor worsening severity of heart failure. 

The technology was discussed at the 2020 Society of Cardiovascular Computed Tomography (SCCT) virtual meeting. Examples of this technology are presented in this video. 
 

Find more news and video from SCCT 2020

VIDEO: Photon Counting Detectors Will be the Next Major Advance in Computed Tomography

Computed Tomography (CT) | August 12, 2020

 

Todd Villines, M.D., FACC, FAHA, MSCCT, said photon counting CT detectors were a key new technology discussed at the Society of Cardiovascular Computed Tomography (SCCT) 2020 virtual meeting. He said the technology will likely replace conventional CT detectors in the next decade. Advantages of photon counting detectors include the ability to enhance image quality at the detector level with much clearer details than conventional CT technology.

These new detectors also can take a single scan and bin the various energies to reconstruct a range of mono-energtic scan renderings similar to dual-energy CT, but on a wider spectrum of kV levels. This spectral aspect of photon counting also allows material decomposition based on the chemical elements that make up various materials in the scan, including calcium and metals that make up stents, orthopedic implants and replacement heart valves. This enables easier, automated removal of metal blooming artifacts and the ability to clearly image inside calcified arteries.

Villines is the Julian Ruffin Beckwith Professor of Medicine, Division of Cardiovascular Medicine, University of Virginia, editor-in-chief of the Journal of Cardiovascular CT (JCCT),  and SCCT past-president.

 

Other Key Trends and CT Technology at SCCT:

Top 9 Cardiovascular CT Studies in Past Year 

VIDEO: Increased Use of Cardiac CT During the COVID-19 Pandemic

VIDEO: Coronary Plaque Quantification Will Become Major Risk Assessment

VIDEO: Key Cardiac CT Papers Presented at SCCT 2020

Low-attenuation Coronary Plaque Burden May Become Next Big Cardiac Risk Assessment

Impact of Cardiac CT During COVID-19

VIDEO: Artificial Intelligence to Automate CT Calcium Scoring and Radiomics

 

 

 

Artificial Intelligence | August 12, 2020

Todd Villines, M.D., FACC, FAHA, MSCCT, explains how artificial intelligence (AI) might be used in the near future to automatically calculate CT calcium scoring and and radiomic feature assessments. This was a key take away during the Society of Cardiovascular Computed Tomography (SCCT) 2020 virtual meeting. 

Villines is the Julian Ruffin Beckwith Professor of Medicine, Division of Cardiovascular Medicine, University of Virginia, editor-in-chief of the Journal of Cardiovascular CT (JCCT),  and SCCT past-president.

AI is already commercially used to improve CT image reconstruction to increase the diagnostic quality of the images, especially from low-dose scans. AI is now being applied to automate time-consuming tasks in CT image reads, such as manually calculated calcium scores and automated contouring and quantification of anatomy and function of the heart.

Another area that is seeing a lot of research in in radiomics, where AI is being used to sift through thousands of CT scans to look for subtle imaging traits that may indicate the early development or worsening of disease. These subtle changes may not be evident to radiologists reading the scans, but AI software can identify similarities in patients as a trend and alert researchers to look at that specific trait as a potential imaging biomarker.

 

Other Key Trends and Technology at SCCT:

Top 9 Cardiovascular CT Studies in Past Year 

VIDEO: Photon Counting Detectors Will be the Next Major Advance in Computed Tomography

VIDEO: Increased Use of Cardiac CT During the COVID-19 Pandemic

VIDEO: Coronary Plaque Quantification Will Become Major Risk Assessment

VIDEO: Key Cardiac CT Papers Presented at SCCT 2020

Low-attenuation Coronary Plaque Burden May Become Next Big Cardiac Risk Assessment

Impact of Cardiac CT During COVID-19

 

Computed Tomography (CT) | August 11, 2020

Todd Villines, M.D., FACC, FAHA, MSCCT, explains some of more influential cardiac CT clinical papers from the past year at the Society of Cardiovascular Computed Tomography (SCCT) 2020 virtual meeting. Among these were the ISCHEMIA Trial, others showing the value of CT is assessing chest pain patients and its ability to act as a gate keeper to the cath lab, and the 2019 European Society of Cardiology (ESC) guidelines that now list cardiac as a preferred imaging modality.

Villines is the Julian Ruffin Beckwith Professor of Medicine, Division of Cardiovascular Medicine, University of Virginia, editor-in-chief of the Journal of Cardiovascular CT (JCCT), and SCCT past-president.

 

Other Key Trends and CT Technology at SCCT:

Top 9 Cardiovascular CT Studies in Past Year 

VIDEO: Photon Counting Detectors Will be the Next Major Advance in Computed Tomography

VIDEO: Increased Use of Cardiac CT During the COVID-19 Pandemic

VIDEO: Coronary Plaque Quantification Will Become Major Risk Assessment

Low-attenuation Coronary Plaque Burden May Become Next Big Cardiac Risk Assessment

Impact of Cardiac CT During COVID-19

VIDEO: Artificial Intelligence to Automate CT Calcium Scoring and Radiomics

 

CT Angiography (CTA) | August 11, 2020

Todd Villines, M.D., FACC, FAHA, MSCCT, explains how coronary plaque assessment will become a new risk assessment tool in cardiac CT. This was a key take away during the Society of Cardiovascular Computed Tomography (SCCT) 2020 virtual meeting in July. He is the Julian Ruffin Beckwith Professor of Medicine, Division of Cardiovascular Medicine, University of Virginia; editor-in-chief of the Journal of Cardiovascular CT (JCCT), and SCCT past-president. 

While basic plaque assessments have been available for several years on CT vendor and third-party advanced visualization software, it lacked automation standardization for what various values meant and clinical evidence it was relevant. However, several speakers in SCCT sessions said that is now changing, with more specific analysis being tested clinically and automation using artificial intelligence. 

Several key opinion leaders in cardiac CT said this new information and automation lwill likely lead to a revision of the current CAD-RADS scoring system used by radiologists and cardiologists when assessing the coronary event risk of patients. They are calling for the new CAD-RADS 2.0 to include a detailed plaque assessment.  

 

Other Key Trends and CT Technology at SCCT:

Top 9 Cardiovascular CT Studies in Past Year 

VIDEO: Photon Counting Detectors Will be the Next Major Advance in Computed Tomography

VIDEO: Increased Use of Cardiac CT During the COVID-19 Pandemic

VIDEO: Coronary Plaque Quantification Will Become Major Risk Assessment

VIDEO: Key Cardiac CT Papers Presented at SCCT 2020

Impact of Cardiac CT During COVID-19

VIDEO: Artificial Intelligence to Automate CT Calcium Scoring and Radiomics

 

Computed Tomography (CT) | August 11, 2020

Todd Villines, M.D., FACC, FAHA, MSCCT, explains some of the discussion on CT used for COVID-19 patients at the Society of Cardiovascular Computed Tomography (SCCT) 2020 virtual meeting in July. He is the Julian Ruffin Beckwith Professor of Medicine, Division of Cardiovascular Medicine, University of Virginia; editor-in-chief of the Journal of Cardiovascular CT (JCCT), and SCCT past-president. 

Early on in the COVID-19 pandemic in China, CT emerged as a key imaging modality and was found to be able to detect COVID ground glass lesions in the lungs sometimes prior to positive genetic PCR test results. Supporters of CT say the modality offers a way to get detailed anatomical and functional information using a short exam time and limits the exposure of staff to potential or known COVID-19 positive patients.

One area where cardiac CT is seeing a lot of increased his is for the evaluation of thrombus in the left atrial appendage (LAA). This is traditionally done using trans esophageal echo (TEE), but it required very close contact with the patient and direct exposure of staff to bodily fluids and potential viral shed from the patient exhaling with each breath.

 

Related CT During COVID-19 Content:

Cardiac Imaging Best Practices During the COVID-19 Pandemic

VIDEO: CT and POCUS Emerge As Frontline Cardiac Imaging Modalities in COVID-19 Era — Interview with Geoffrey Rose, M.D.,

ASE Guidelines for the Protection of Echocardiography Providers During the COVID-19 Outbreak 

Study Looks at CT Findings of COVID-19 Through Recovery

Experts Stress Radiology Preparedness for COVID-19

ACR Recommendations for the Use of Chest Radiography and CT for Suspected COVID-19 Cases

 

Other Key Trends and CT Technology at SCCT:

Top 9 Cardiovascular CT Studies in Past Year 

VIDEO: Photon Counting Detectors Will be the Next Major Advance in Computed Tomography

VIDEO: Coronary Plaque Quantification Will Become Major Risk Assessment

VIDEO: Key Cardiac CT Papers Presented at SCCT 2020

Low-attenuation Coronary Plaque Burden May Become Next Big Cardiac Risk Assessment

Impact of Cardiac CT During COVID-19

VIDEO: Artificial Intelligence to Automate CT Calcium Scoring and Radiomics

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