Videos | Magnetic Resonance Imaging (MRI) | January 06, 2020

VIDEO: Use of Cardiac MRI in Congenital and Women's Heart Disease

Karen Ordovas, M.D., MAS, professor of radiology and cardiology at the University of California San Francisco (UCFS) School of Medicine and a Society of Cardiac Magnetic Resonance (SCMR) board member, explains how cardiac MRI can help in women's heart disease and to better define complex congenital heart anatomy. She spoke at the 2019 Radiological Society of North America (RSNA) meeting. 

She specializes in cardiac and pulmonary imaging, and has particular expertise in using CT and MRI techniques in cardiovascular imaging and the differences of presentation in imaging between male and female cardiac patients. Ordovas is helping advance education around heart disease in women and bring great awareness of quality tools to diagnose heart disease and how heart MRI can help. She also is heavily involved in the use of heart MRIs for pregnant women, since there is no radiation,  and patients with congenital heart disease where detailed imaging of the complex anatomy is required.

The use of cardiac MRI in congenital heart disease is common in serial imaging of patients with Tetralogy of Fallot (TOF), one of the most common congenital heart diseases for which patients are referred for post-operative magnetic resonance (MR) imaging evaluation. In the past few decades, surgery has proved successful, but most patients require repeat imaging throughout their lives and MRI can offer more detailed soft tissue imaging without the use of radiation. 

 

Related Cardiac MRI Content:

VIDEO: Advances in Cardiac MRI Technology — Interview with James Carr, M.D.

Cardiac MRI Delivers Accurate Diagnosis for Frontline Chest Pain Evaluation

VIDEO: Dedicated Cardiac MRI Use at the Baylor Scott White Heart Hospital

Advantages and New Applications of Cardiac MRI

Will Cardiac MRI Expand?

 

Recent Videos View all 565 items

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 srea severeal examples of AI already in use in cardiac imaging. 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

Sponsored Videos View all 159 items

PACS | June 29, 2020

Kevin Borden, Vice President of Product, Healthcare IT for Konica Minolta, talks about Improving Access and Aiding Workflow with itnTV. He explains how the server-side rendering and zero-footprint viewer in its Exa PACS make it well-suited for remote reading.

Contrast Media Injectors | May 22, 2020

At this year’s RSNA ITN sat down with Dennis Durmis, Senior Vice President, Bayer Radiology to discuss Radiology trends. Discussion topics centered around three key areas where Bayer Radiology is responding to trends; including digitalization, workflow efficiencies and efforts to bring more focus to the Radiology patient experience. During the interview Dennis discussed Bayer’s digital strategy, features and benefits of their new injector, the MEDRAD® Stellant FLEX Injector and Bayer’s education efforts of the imaging needs of women with Dense Breast.

Enterprise Imaging | March 02, 2020

At RSNA19, Philips discussed with ITN Contributing Editor Greg Freiherr how its IntelliSpace Enterprise Edition fits into the Philips portfolio, and how the corporate acquisition of Carestream Health IT might affect the company. The video also discusses how Philips will help prospective customers acquire its products.

Artificial Intelligence | February 21, 2020

In Artificial Intelligence at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence (AI) advances at the Radiological Society of North America (RSNA) 2019 annual meeting.

Technology Reports View all 11 items

Artificial Intelligence | February 21, 2020

In Artificial Intelligence at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence (AI) advances at the Radiological Society of North America (RSNA) 2019 annual meeting.

Enterprise Imaging | February 21, 2020

In Enterprise Imaging at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overview of enterprise imaging advances at the Radiological Society of North America (RSNA) 2019 annual meeting.

Conference Coverage View all 456 items

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

 

Radiation Oncology View all 113 items

Contrast Media Injectors | May 22, 2020

At this year’s RSNA ITN sat down with Dennis Durmis, Senior Vice President, Bayer Radiology to discuss Radiology trends. Discussion topics centered around three key areas where Bayer Radiology is responding to trends; including digitalization, workflow efficiencies and efforts to bring more focus to the Radiology patient experience. During the interview Dennis discussed Bayer’s digital strategy, features and benefits of their new injector, the MEDRAD® Stellant FLEX Injector and Bayer’s education efforts of the imaging needs of women with Dense Breast.

Proton Therapy | December 16, 2019

Join Chris Toth, president of Varian’s Oncology Systems business, for a peek at the history of machine learning/AI in radiation oncology, plus other highlights in 2019:

  • Ethos therapy: the world’s first AI-powered adaptive radiotherapy.
  • Noona cloud-based application for capturing patient-reported outcomes.
  • Varian’s multi-room configuration for ProBeam 360 proton therapy.
  • The promise of FLASH, an ultra-high-speed treatment that is in pre-clinical testing, and represents an exciting and potentially promising new direction in the treatment of cancer. 
Quality Assurance (QA) | December 06, 2019

Modus QA is proud to offer a superior phantom for quantifying geometric distortion in modern MRgRT applications. Watch this video to discover how the entire QA process including set-up and data analysis can be completed in under 10 minutes.

Artificial Intelligence | October 22, 2019

David Sjostrom, Ph.D., deputy chief physicist, Herlev Hospital, Department of Oncology, Division of Radiotherapy, Herlev, Denmark, shares the first clinical experience treating cancer patients with the Varian Ethos radiation therapy system. He spoke to ITN at ASTRO 2019, where he presented information on the first 5 patients in the world being treated with this new technology. It uses artificial intelligence to take the onboard cone beam CT scans to automatically create an adaptive plan for any changes in patient weight loss, bladder volume, or change in tumor size. The plan can be available in minutes while the patient is on the table. It enables sparing of more healthy tissue and makes adaptive therapy much easier to use. 

 

Radiology Imaging View all 341 items

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 srea severeal examples of AI already in use in cardiac imaging. 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

Molecular Imaging View all 28 items

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 srea severeal examples of AI already in use in cardiac imaging. 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) | April 18, 2020

Stephen Bloom, M.D., FASNC, director of noninvasive cardiology (cardiac CT, nuclear cardiology and echocardiography) at Midwest Heart and Vascular Associates, Overland Park, Kansas. He is also a member of the American Society of Nuclear Cardiology (ASNC) Board of Directors, explains some of the issues involved and protocols used for cardiac imaging during the COVID-19 pandemic. His discussion includes computed tomography, cardiac ultrasound and nuclear imaging.

Right now, Bloom said it is difficult to test everybody and there is a shortage of masks, gowns and other personal protective equipment (PPE), and the imaging equipment needs to be sanitized each time it is used. He said it is just is not possible to image all the patients who need imaging right now. Hospitals also are trying to limit the number of healthy people people coming into hospitals for routine visits and tests to reduce their potential exposure to the novel coronavirus (COVID-19, SARS-CoV-2) and help containment efforts. 

"The tests should be done, very simply, if it changes the care of the patient. If it doesn't change the care of the patient, and it can be postponed, it should be postponed," Bloom explained. "I would say 80 percent of our cardiac imaging exams have stopped. It has been very dramatic."

 

Related Imaging Precautions During COVID-19 Content:

Cardiac Imaging Best Practices During the COVID-19 Pandemic

Best Practices for Nuclear Cardiology Laboratories During the Coronavirus (COVID-19) Pandemic

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

VIDEO: Best Practices for Nuclear Cardiology During the COVID-19 Pandemic — Interview with Hicham Skali, M.D.

VIDEO: Cancelling Non-essential Cardiac Procedures During the COVID-19 Outbreak — Interview with Ehtisham Mahmud, M.D. 

VIDEO: 9 Cardiologists Share COVID-19 Takeaways From Across the U.S.  

VIDEO: Telemedicine in Cardiology and Medical Imaging During COVID-19 — Interview with Regina Druz, M.D.

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

Study Looks at CT Findings of COVID-19 Through Recovery

Experts Stress Radiology Preparedness for COVID-19

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

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

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

VIDEO: What Cardiologists Need to Know about COVID-19 — Interview with Thomas Maddox, M.D.

The Cardiac Implications of Novel Coronavirus

Coronavirus (COVID-19) | April 04, 2020

Hicham Skali, M.D., a staff cardiologist and member of the Non-invasive Cardiovascular Imaging Program at Brigham and Women’s Hospital (BWH), and at Brigham and Women’s / Massachusetts General Health Care Center at Foxborough, explains the new recommendations from the American Society of Nuclear Cardiology (ASNC) and from imagers in China and Singapore. The ASNC created a best practices document for nuclear cardiology laboratories during the novel coronavirus (COVID-19, SARS-CoV-2) pandemic. The suggestions in the guidelines can ally to any imaging modality, including computed tomography (CT), MRI and ultrasound. 

Skali elaborates on the following points in his discussion, which are specific recommendations in the ASNC and SNMMI COVID-19 guidance document:
   • Rescheduling non-urgent visits
   • Rescheduling elective surgeries and procedures
   • Using separate spaces for patients with known or suspected COVID-19 to prevent spread
   • Ensuring supplies are available
   • Promoting use of telehealth
   • Screen staff, patients and visitors before they enter the department
   • Minimize non-essential visitors into the department
   • Record symptoms at the start of the shift
   • Use personal protective equipment (PPE)for healthcare personnel
   • If available, use PPE for patients due to concern of asymptomatic transmission of COVID-19
   • Maintain strict hand hygiene
   • Maintain 6 feet distance in all patient/staff interactions when possible
   • Work remotely whenever feasible, especially with ready studies
   • Rotating staff schedules for on-site and off-site work
   • Use of rest only studies if possible
   • Use of half-time SPECT to speed exam times
   • Use of PET if available to speed exam times

Skali served as the moderator in for the ASNC on demand webinar COVID-19 Preparedness for Nuclear Cardiology Labs: Insights from the US, China and Singapore.

VIDEO: Telemedicine in Cardiology and Medical Imaging During COVID-19 — Interview with Regina Druz, M.D., an ASNC Board member and also a speaker during the ASNC webinar.

Find more news and video on relating to COVID-19 and its impact on radiology

Coronavirus (COVID-19) | March 27, 2020

Regina Druz, M.D., FASNC, a member of the American Society of Nuclear Cardiology (ASNC) Board of Directors, chairwomen of the American College of Cardiology (ACC) Healthcare Innovation Section, and a cardiologist at Integrative Cardiology Center of Long Island, N.Y., explains the rapid expansion of telemedicine with the U.S. spread of novel coronavirus (COVID-19, SARS-CoV-2).

Druz spoke on the unprecedented expansion of telemedicine in the U.S. under COVID-19, seeing more use in the last two months, as opposed to the past two decades. The Centers for Medicare and Medicaid Services (CMS) previously only reimbursed for Telehealth in rural areas it determined had a shortage of doctors. However, in early March 2020, CMS dropped the geographic requirements and allowed Telehealth usage across th country as a way to mitigate person-to-person contact and keep vulnerable, older patients at home for routine check ups with doctors.

Druz has subspecialty certifications in nuclear cardiology, adult echocardiography and cardiac computed tomography (CT) and explains how Telehealth can be used to pre-screen patients and get patient sign off on procedures prior to coming in for an exam, helping speed the process in the hospital and limit personal contact.

Concerns about the rpaid spread of COVID-19 also has driven many radiology departments to convert to wider use of teleradiology to allow more radiologists to work from home and reduce person-to-person contact within the hospitals. 

Watch the related VIDEO: Use of Teleradiology During the COVID-19 Pandemic — an interview with John Kim, M.D., chairman, Department of Radiology, THR Presbyterian Plano, Texas, and chief technology officer at Texas Radiology Associates.

 

Related COVID-19 Content:

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

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

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

VIDEO: What Cardiologists Need to Know about COVID-19 — Interview with Thomas Maddox, M.D.

The Cardiac Implications of Novel Coronavirus

 

 

 

Information Technology View all 254 items

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 srea severeal examples of AI already in use in cardiac imaging. 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

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

Women's Health View all 71 items

Artificial Intelligence | February 06, 2020

ProFound AI is an FDA-cleared artificial intelligence (AI) system for reading 3-D breast tomosynthesis images. At RSNA19, ITN Contributing Editor Greg Freiherr spoke with iCad Chairman and CEO Michael Klein about the system, which has been clinically proven in a large reader study to produce an 8% average improvement in sensitivity, 7.2% average reduction in recall rate and 52.7% reduction in average radiologist reading time. 

Mammography | January 24, 2020

Imaging Technology News Contributing Editor Greg Freiherr interviewed Henry Izawa, vice president of modality solutions, Fujifilm Medical Systems U.S.A., Inc. about Fujifilm's latest innovations in mammography.

In this video, Izawa announces the latest imaging advancements available for the Aspire Cristalle digital mammography system with digital breast tomosynthesis, including S-View, a synthesized 2-D image reconstructed from DBT and other patient enhancements such as the comfort paddle to provide a noticeably more comfortable exam for the patient.

Watch the video to hear all about Fujifilm's updates.

To learn more, visit www.fujimed.com

RSNA | January 13, 2020

ITN Editor Dave Fornell takes a tour of some of the most innovative new medical imaging technologies displayed on the expo floor at the Radiological Society of North America (RSNA) 2019 meeting. 

Technology examples include a robotic arm to perform remote ultrasound exams, integration of artificial intelligence (AI) to speed or automate radiology workflow, holographic medical imaging display screens, a new glassless digital radiography (DR) X-ray detector, augmented reality for transesophageal echo (TEE) training, moving DR X-ray images, 3-D printed surgical implants created from a patient's CT imaging, DR X-ray tomosynthesis datasets, radiation dose management and analytics software, and new computed tomography (CT) technologies.

Photo Gallery of New Imaging Technologies at RSNA 2019

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Magnetic Resonance Imaging (MRI) | January 06, 2020

Karen Ordovas, M.D., MAS, professor of radiology and cardiology at the University of California San Francisco (UCFS) School of Medicine and a Society of Cardiac Magnetic Resonance (SCMR) board member, explains how cardiac MRI can help in women's heart disease and to better define complex congenital heart anatomy. She spoke at the 2019 Radiological Society of North America (RSNA) meeting. 

She specializes in cardiac and pulmonary imaging, and has particular expertise in using CT and MRI techniques in cardiovascular imaging and the differences of presentation in imaging between male and female cardiac patients. Ordovas is helping advance education around heart disease in women and bring great awareness of quality tools to diagnose heart disease and how heart MRI can help. She also is heavily involved in the use of heart MRIs for pregnant women, since there is no radiation,  and patients with congenital heart disease where detailed imaging of the complex anatomy is required.

The use of cardiac MRI in congenital heart disease is common in serial imaging of patients with Tetralogy of Fallot (TOF), one of the most common congenital heart diseases for which patients are referred for post-operative magnetic resonance (MR) imaging evaluation. In the past few decades, surgery has proved successful, but most patients require repeat imaging throughout their lives and MRI can offer more detailed soft tissue imaging without the use of radiation. 

 

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