Magnetic Resonance Imaging of the heart allows making prognosis on heart attack

Doctors have always been struggling with the question whether their patients will get a heart attack in the near future. Magnetic resonance imaging of the heart might give them just that answer.

Heart attack is the most frequent cause of death in the western world. Doctors are using tables and imaging methods to allow to predict if their patient will get a heart attack. Magnetic resonance imaging is a young method to acquire images of the heart. Doctors get high resolution images with plenty of information, without any harmful radiation. This method - which has been used in children's heart disease for many years - is able to improve prediction of a hazardous event in a large group of patients. During the yearly meeting of the International Society of Cardiovascular Magnetic Resonance and the imaging specialists of the European Society of Cardiology in Rome from February 2nd to 4th two milestone papers will be presented. Researchers around Dr. Greg Hundley from the Wake Forrest University School of Medicine found, that a stress test with magnetic resonance imaging identifies individuals with a high risk of a myocardial infarction or death within the group of patients presenting with chest pain. In a different study by the group of Dr. Raymond Kwong at the Brigham and Women's Hospital in Boston, MA researchers used magnetic resonance imaging to find a subgroup of patients with diabetes most likely to have a hazardous event.

Magnetic resonance imaging of the heart is a risk free method to identify patients at risk for a heart attack or death.

The Society of Cardiovascular Magnetic Resonance (www.scmr.org) is the International Society for cardiologists, radiologists, technicians and scientists aiming at the development of Magnetic Resonance Imaging of the heart. The Working Group on Cardiovascular Magnetic Resonance of the European Society of Cardiology (www.escardio.org/bodies/WG/wg26/) is the subgroup of Magnetic Resonance Imaging specialists within the European Society of Cardiology.

For further information, please visit:

Most Popular Now

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...

AI may Help Clinicians Personalize Treat…

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six months, have a high relapse rate even after receiving treatment. Artificial intelligence (AI)...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

Can AI Help Detect Cognitive Impairment?

Mild cognitive impairment (MCI) can be an early indicator of Alzheimer's disease or dementia, so identifying those with cognitive issues early could lead to interventions and better outcomes. But diagnosing...

AI can Open Up Beds in the ICU

At the height of the COVID-19 pandemic, hospitals frequently ran short of beds in intensive care units. But even earlier, ICUs faced challenges in keeping beds available. With an aging...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

AI Model Predicting Two-Year Risk of Com…

AFib (short for atrial fibrillation), a common heart rhythm disorder in adults, can have disastrous consequences including life-threatening blood clots and stroke if left undetected or untreated. A new study...

Patients' Affinity for AI Messages …

In a Duke Health-led survey, patients who were shown messages written either by artificial intelligence (AI) or human clinicians indicated a preference for responses drafted by AI over a human...

New Research Explores How AI can Build T…

In today’s economy, many workers have transitioned from manual labor toward knowledge work, a move driven primarily by technological advances, and workers in this domain face challenges around managing non-routine...

AI Tool Helps Predict Who will Benefit f…

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment outcomes for men with prostate cancer by helping physicians determine who...