Cardiovascular MRI Aids Diastolic Heart Failure Diagnosis
By MedImaging International staff writers Posted on 20 Nov 2017 |

Image: According to research, cardiac MRi could soon replace hemodynamic assessments (Photo courtesy of Siemens Healthcare).
A new study will investigate whether diastolic heart failure (DHF) can be better diagnosed with the help of cardiovascular magnetic resonance imaging (CMRI).
Researchers at the German Centre for Cardiovascular Research (DZHK; Berlin, Germany) and University Hospital Frankfurt (Germany) are launching a multicenter study to establish CMRI as the standard method for diagnosing DHF, also known as heart failure with preserved ejection fraction (HFpEF). The study will compare CMR diagnostic data efficacy with that of the present gold standard, invasive hemodynamics, in which patients are examined using a cardiac catheter.
In order to obtain a more comprehensive picture of the diagnostic validity of CMR, the researchers will also compare CMR measurements to the results of ultrasound examinations and analyses of myocardial tissue samples. The data will also aid the researchers investigate whether CMR can help clarify why DHF disease arises, since unlike an ultrasound, CMR not only measures blood flow and ventricular filling, but can also identify an inflamed myocardium, pathological proliferation of the connective tissue, and change to small blood vessels.
“Only once the causes are clear can patients receive targeted medicinal therapy, because the treatment of myocardial inflammation differs entirely to that of a circulatory disorder. Therapeutic studies are only possible once we can distinguish between the various patient subgroups,” said lead researcher Professor Eike Nagel, MD, of University Hospital Frankfurt. “It is the first multicenter study on the diagnosis of HFpEF worldwide. Beside Frankfurt am Main, the DZHK sites in Berlin, Heidelberg, Göttingen, and Bad Nauheim are also participating. If the results are positive, the study would lead to a modification of the guidelines for diagnosing HFpEF.”
HFpEF is a complex disease, encompassing a diverse cohort of patients and marked by the presence of multiple etiological mechanisms. Diastolic dysfunction, in which the heart contracts properly, but cannot expand enough so that blood can fill the chamber, is considered a crucial component of the disease, which affects approximately 50% of patients with chronic heart failure (HF).
CMR is a medical imaging technology for the non-invasive assessment of the function and structure of the cardiovascular system that is based on the same basic principles as MRI, with optimizations that use rapid imaging sequences, requiring CMR images be acquired in steps. Patients breathe in and then hold their breath for each image, then recover before repeating the process for the next one.
Related Links:
German Centre for Cardiovascular Research
University Hospital Frankfurt
Researchers at the German Centre for Cardiovascular Research (DZHK; Berlin, Germany) and University Hospital Frankfurt (Germany) are launching a multicenter study to establish CMRI as the standard method for diagnosing DHF, also known as heart failure with preserved ejection fraction (HFpEF). The study will compare CMR diagnostic data efficacy with that of the present gold standard, invasive hemodynamics, in which patients are examined using a cardiac catheter.
In order to obtain a more comprehensive picture of the diagnostic validity of CMR, the researchers will also compare CMR measurements to the results of ultrasound examinations and analyses of myocardial tissue samples. The data will also aid the researchers investigate whether CMR can help clarify why DHF disease arises, since unlike an ultrasound, CMR not only measures blood flow and ventricular filling, but can also identify an inflamed myocardium, pathological proliferation of the connective tissue, and change to small blood vessels.
“Only once the causes are clear can patients receive targeted medicinal therapy, because the treatment of myocardial inflammation differs entirely to that of a circulatory disorder. Therapeutic studies are only possible once we can distinguish between the various patient subgroups,” said lead researcher Professor Eike Nagel, MD, of University Hospital Frankfurt. “It is the first multicenter study on the diagnosis of HFpEF worldwide. Beside Frankfurt am Main, the DZHK sites in Berlin, Heidelberg, Göttingen, and Bad Nauheim are also participating. If the results are positive, the study would lead to a modification of the guidelines for diagnosing HFpEF.”
HFpEF is a complex disease, encompassing a diverse cohort of patients and marked by the presence of multiple etiological mechanisms. Diastolic dysfunction, in which the heart contracts properly, but cannot expand enough so that blood can fill the chamber, is considered a crucial component of the disease, which affects approximately 50% of patients with chronic heart failure (HF).
CMR is a medical imaging technology for the non-invasive assessment of the function and structure of the cardiovascular system that is based on the same basic principles as MRI, with optimizations that use rapid imaging sequences, requiring CMR images be acquired in steps. Patients breathe in and then hold their breath for each image, then recover before repeating the process for the next one.
Related Links:
German Centre for Cardiovascular Research
University Hospital Frankfurt
Latest MRI News
- Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
- New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- 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
Channels
Radiography
view channel
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
Medical imaging, such as computed tomography (CT) scans, plays a crucial role in oncology, offering essential data for cancer detection, treatment planning, and monitoring of response to therapies.... Read more
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... 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 moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
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