Breakthrough Heart MRI Technique Accurately Predicts Heart Failure Risk in General Population
|
By MedImaging International staff writers Posted on 15 Aug 2024 |
|
Heart failure, a serious condition often caused by elevated heart pressure, presents significant health risks. Heart Magnetic Resonance Imaging (MRI), which utilizes strong magnets and radio waves, provides detailed images of the heart without the harmful radiation associated with X-rays or CT scans. Previous groundbreaking studies have demonstrated that heart MRI can gauge pressures within the heart, correlating these measurements with heart failure symptoms and signs. Until now, however, it was unclear whether MRI-derived heart pressures could predict heart failure risk in the general population. Now, new research shows that MRI scans can accurately estimate internal heart pressures to predict heart failure, potentially eliminating the need for more invasive tests.
Researchers from the University of East Anglia (UEA, Norfolk, UK) and Queen Mary University of London (London, UK) analyzed heart MRI data from 39,000 UK Biobank participants, employing artificial intelligence to estimate heart pressure. During a six-year follow-up, they assessed the participants' risk factors and likelihood of developing heart failure. The study revealed that individuals with higher estimated heart pressures via MRI were five times more likely to suffer from heart failure. Additionally, the research identified crucial risk factors for increased heart pressure that leads to heart failure, including being over 70, having high blood pressure, obesity, excessive alcohol consumption, and being male. By combining these factors, the researchers developed a model to predict individual risk of heart failure. This breakthrough could lead to better prevention, early detection, and treatment of heart failure, potentially saving numerous lives.
“This breakthrough suggests that heart MRI could potentially replace invasive diagnostic tests. Participants with higher heart pressure measured by MRI had a fivefold increased risk of developing heart failure over six years,” said co-lead author Dr Pankaj Garg, from UEA’s Norwich Medical School.
Related Links:
UEA
Queen Mary University of London
Latest MRI News
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
- New Scan Method Shows Effects of Treatment on Lung Function in Real Time
- Simple Scan Could Identify Patients at Risk for Serious Heart Problems
- Pioneering MRI Technique Detects Pre-Malignant Pancreatic Lesions for The First Time
Channels
Radiography
view channel
AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
A new study has revealed that an artificial intelligence (AI)-powered solution significantly improves cancer detection in single-reader mammography settings without increasing recall rates, offering a... Read more
Photon Counting Detectors Promise Fast Color X-Ray Images
For many years, healthcare professionals have depended on traditional 2D X-rays to diagnose common bone fractures, though small fractures or soft tissue damage, such as cancers, can often be missed.... Read more
Ultrasound
view channel
Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... Read more
Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read more
Nuclear Medicine
view channel
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read more
Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease, are often diagnosed only after physical symptoms appear, by which time treatment may no longer be effective.... Read more
![Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242)](https://globetechcdn.com/mobile_medicalimaging/images/stories/articles/article_images/2025-02-24/Brugarolas_F8.large.jpg "Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242)")
General/Advanced Imaging
view channel
AI Reduces CT Lung Cancer Screening Workload by Almost 80%
Lung cancer impacts over 48,000 individuals in the UK annually, and early detection is key to improving survival rates. The UK Lung Cancer Screening (UKLS) trial has already shown that low-dose CT (LDCT)... Read more
Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
Stroke is the second leading cause of death globally, claiming millions of lives each year. Ischemic stroke, in particular, occurs when a blood vessel that supplies blood to the brain becomes blocked.... Read more
AI System Detects Subtle Changes in Series of Medical Images Over Time
Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... Read more
New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
Cancers of the mouth, nose, and throat are becoming increasingly common in the U.S., particularly among younger individuals. Approximately 60,000 new cases are diagnosed annually, with 20% of these cases... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more
Industry News
view channel
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more
.jpg "Image: Mindray and TeleRay have joined forces to provide clinicians with secure, compliant live ultrasound streaming through a robust FDA-approved viewer (Photo courtesy of Mindray)")
.jpeg "Image: The advocacy partnership aims to help accelerate access to life-saving treatments (Photo courtesy of Philips)")