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. 

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Siemens Healthineers has gained U.S. Food and Drug Administration (FDA) clearance for Acuson Origin, its new cardiovascular ultrasound system featuring advanced artificial intelligence (AI) capabilities. The Acuson Origin represents a significant update from the prior Siemens Healthineers cardiovascular ultrasound system, the Acuson SC2000.

Siemens Healthineers gains FDA clearance for new AI-powered cardiovascular ultrasound system

The Acuson Origin system includes advanced AI algorithms designed to assist users with the treatment of diagnostic, structural heart, vascular, electrophysiological and pediatric patients. It also comes packaged with a new 4D ICE catheter capable of multiplanar reconstruction imaging with or without the use of an electrocardiogram.

CMR of a patient showing evidence of myocardial hypertrophy

MRI results help cardiologists predict heart failure risk

"This breakthrough suggests that heart MRI could potentially replace invasive diagnostic tests," one specialist said. 

CMS may double Medicare payments for cardiac CT

The agency is gathering feedback on a proposal to double the amount hospitals are paid for coronary computed tomography angiography, with the comment period ending Sept. 9.

artificial intelligence consultation

Generative AI explains echo results to heart patients

Researchers used OpenAI’s ChatGPT technology to build 100 patient-friendly echo reports, evaluating each one for accuracy, relevance and understandability. The AI reports passed the test with flying colors. 

doctor examines patient data on their tablet

FDA sees potential in new PET imaging agent for cardiac amyloidosis

Early evidence suggests a new PET imaging agent from California-based Attralus can help evaluate all varieties of systemic cardiac amyloidosis. It has now been granted the FDA's breakthrough therapy designation. 

Sahil Parikh, MD, FSCAI, Director of Endovascular Services at New York-Presbyterian Columbia University Irving Medical Center, and Associate Professor of Medicine at the Columbia University College of Physicians and Surgeons, explains there is scant clinical data on what the standard of care should be for pulmonary embolism, so it is up to clinicians to decide what is best for patients based on whether patients have mild to severe PE.

Pulmonary embolism treatments continue to evolve

There is still a lack of lack of standardized treatment protocols for pulmonary embolism. This is mainly due to limited data and a lack of reliable risk assessments, one specialist explained.

Some of the abandon leads and various shapes and positions on the wires from the study. None of these patients had any safety issues related the abandoned leads. Image courtesy of RSNA

MRI in patients with abandoned pacemaker and ICD leads

Abandoned metal wire leads for pacemakers and ICDs did not present a serious safety issue in a study of 80 patients, but a handful of patients did experience a significant change in the composite of capture threshold, sensing or lead impedance.

The American Society of Nuclear Cardiology (ASNC) is asking Congress to repeal the appropriate use software provision mandate, which physicians say is an obstacle to efficient care.

ASNC asks Congress to officially repeal the AUC mandate for advanced medical imaging

Medicare rescinded the provision in the 2024 Medicare Physician Fee Schedule, but the law remains on the books. 

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Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

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.

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Use of AI opportunistic screening in CT for cardiovascular disease

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