Cutting-edge technology uses MRI to diagnose patients with heart failure in record time

Researchers at the University of East Anglia have developed cutting-edge technology to diagnose patients with heart failure in record time.

The state-of-the-art technology uses magnetic resonance imaging (MRI) to create detailed 4D flow images of the heart.

But unlike a standard MRI scan, which can take up to 20 minutes or more, the new 4D heart MRI scan takes just eight minutes.

The results provide a precise image of the heart valves and blood flow inside the heart, helping doctors determine the best course of treatment for patients.

Cardiology patients at the Norfolk and Norwich University Hospital (NNUH) were the first to trial the newtechnology.And the team hope their work could revolutionise the speed at which heart failure is diagnosed, benefitting hospitals and patients world-wide.

Heart failure is a dreadful condition resulting from rising pressures inside the heart. The best method to diagnose heart failure is by invasive assessment, which is not preferred as it has risks.

An ultrasound scan of the heart called echocardiography is routinely used to measure the peak velocity of blood flow through the mitral valve of the heart. However, this method can be unreliable.

We have been researching one of the most cutting-edge methods of flow assessment inside the heart called 4D flow MRI.

In 4D flow MRI, we can look at the flow in three directions over time - the fourth dimension."

Dr Pankaj Garg, Lead Researcher, UEA'sNorwich Medical School and Honorary Consultant Cardiologistat NNUH

PhD student Hosamadin Assadi, also from UEA's Norwich Medical School, said: "This new technology is revolutionising how patients with heart disease are diagnosed. However, it takes up to 20 minutes to carry out a 4D flow MRI and we know that patients do not like having long MRI scans.

"So, we collaborated with General Electrics Healthcare to investigate the reliability of a new technique that uses super-fast methods to scan the flow in the heart, called Kat-ARC.

"We found that this halves the scanning time - and takes around eight minutes.

"We have also shown how this non-invasive imaging technique can measure the peak velocity of blood flow in the heart accurately and precisely."

The team tested the new technology with 50 patients at the Norfolk and Norwich University Hospital and at the Sheffield Teaching Hospitals NHS Foundation Trust in Sheffield.

Patients with suspected heart failure were assessed using the new Kat-ARC 4D heart flow MRI.

Dr Garg said: "This technology is revolutionising how we assess heart disease and our research paves the way for the super-fast 4D flow MRI scans by halving the scan time.

"This will benefit hospitals and patients across the whole world," he added.

NNUH Medical Director Prof Erika Denton said: "NNUH is proud to have taken part in ground-breaking research which has the potential to improve the diagnosis and treatment of people with heart disease."

This project was funded by the Wellcome Trust. It was led by researchers at UEA in collaboration with NNUH, the University of Sheffield, Sheffield Teaching Hospitals NHS Trust, the University of Dundee, GE Healthcare (Germany), Pie Medical Imaging (the Netherlands), and the National Heart Centre and Duke-NUS Medical School (both Singapore).

'Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment' is published in the journal European Radiology Experimental on September 22.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Obesity-related heart disease deaths rise sharply in the U.S. between 1999 and 2020