Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

Himanshu Gupta, MD, explains use of FFR-CT in daily practice at Valley Health System, New Jersey at SCCT 2023. #FFRCT #Heartflow #SCCT #SCCT23 #SCCT2023

The benefits of implementing FFR-CT in clinical practice

Himanshu Gupta, MD, says the implementation of FFR-CT at his facility has provided significant value. He and his colleagues are even working to explore additional ways the technology can help them improve patient care. 

Connected Cardiovascular Care Associates (C3) in Dallas is the first U.S. cardiology practice to install a dedicated Arineta Spotlight cardiac CT system. It is designed for outpatient settings and it the first install since Arineta ended its partnership with GE Healthcare where the scanner was previously known as the Cardiograph.

Arineta installs first dedicated cardiac CT in U.S. to improve access to CCTA

The news marks the first provider organization in the U.S. install of one of Arineta's systems since the end of its partnership with GE HealthCare.

Cardiac imaging expert Renee Bullock-Palmer, MD, explains how calcium scoring can determine if patients need to be on statins or not.

CT calcium scoring can determine if patients need statins

Renee Bullock-Palmer, MD, director, non-invasive cardiac imaging, at the Deborah Heart and Lung Center, explains CT calcium scoring can determine if a patient needs to take aspirin and statins for prevention of coronary disease.

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

artificial intelligence AI heart cardiology

ChatGPT struggles with echocardiography, but still shows potential to help cardiology trainees

ChatGPT may not be quite ready to help prepare trainees for their next echocardiography exam—but it does show promise. 

Jamie Bourque, MD, discusses fluorodeoxyglucose (FDG) and its growing use cases in cardiac PET imaging He discussed the radiotracer in sessions at ASNC 2023. #ASNC #ASNC23 #ASNC2023

The expanding scope of FDG-PET in nuclear cardiac imaging

Jamie Bourque, MD, spoke to Cardiovascular Business about the growing number of ways FDG-PET scans are being used in cardiology. This includes evaluating inflammation, tracking EP device infections and much more. 

Ramon Varcoe explains the LIFE-BTK trial for the Abbott Esprit fully bioresobable scaffold at TCT23.

Fully bioresorbable stents boost care for CLI patients in LIFE-BTK trial

Ramon Varcoe, MBBS, co-principal investigator for the LIFE-BTK trial, discussed the results with Cardiovascular Business at TCT 2023. "I can't wait to start using these in my patients. It's going to make a huge difference."

Video of David Hur discussing how to overcome technical challenges in cardiac CT, which he presented on in sessions at SCCT 2023.

Overcoming technical challenges in cardiac CT

David Hur, MD, director of structural heart disease/interventional imaging at the VA Connecticut Healthcare System, and an assistant professor of medicine at Yale, explains the technical challenges encountered in cardiac computed tomography (CT) and how to overcome them.

Around the web

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.