News | Magnetic Resonance Imaging (MRI) | May 12, 2021

Using Contrast MRI After a Heart Attack Could Increase Survival

According to the British Heart Foundation, heart and circulatory diseases cause more than a quarter (27 percent) of all deaths in the UK, which equates to more than 160,000 deaths each year — or one death every three minutes.

Getty Images

May 12, 2021 — According to the British Heart Foundation, heart and circulatory diseases cause more than a quarter (27 percent) of all deaths in the UK, which equates to more than 160,000 deaths each year — or one death every three minutes.

The research, published in the top science journal Advanced Science, found that injection of the trace mineral manganese could enhance MRI scans so that they provided more accurate details of heart function than traditional MRI methods.

These findings, if confirmed in human subjects, could have major implications for the treatment of heart attack patients. The findings could also be of great use in the preclinical evaluation of treatments for patients who suffer from cardiac ischemia — a reduction in blood supply to the heart muscle that could lead to cardiac arrest.

The study also suggests that if manganese-enhanced MRI is performed within the first few hours of a heart attack it could be used to determine the optimal treatment regime for individual patients — helping to regulate changes in the cardiac muscle and thereby further improving survival chances. Findings were evaluated by examining the infarct size and blood supply at three key intervals: one hour, one day and 14 days after a myocardial infarction was induced.

Patrizia Camelliti, M.D., Principal Investigator and Senior Lecturer in Cardiovascular Science at the University of Surrey, said: "Magnetic resonance imaging (MRI) is increasingly used to diagnose and give information on heart conditions. This research using mice allows us to measure the health status of the heart muscle rapidly after a heart attack and could provide important information for optimising treatments in patients."

For more information: http://www.surrey.ac.uk

Related Content

Researchers have developed an artificial intelligence (AI)-based brain age prediction model to quantify deviations from a healthy brain-aging trajectory in patients with mild cognitive impairment, according to a study published in Radiology: Artificial Intelligence. The model has the potential to aid in early detection of cognitive impairment at an individual level.

Flowchart showing the framework of the brain age prediction model. A, The imaging data were split into training and test datasets. The training dataset consisted of structural magnetic resonance imaging data from 974 healthy individuals, whereas the test dataset included data from 2 groups, 231 healthy controls and 224 aMCI subjects. B, A Conventional Statistical Parametric Mapping structural preprocessing pipeline was used to generate GMV maps in the MNI space. C, The intensity values from the GMV maps were extracted and concatenated to create a feature matrix that was then cleaned and normalized. D, The best elastic net model was obtained by performing supervised learning on the training dataset. To optimize the hyperparameters, a grid search was performed. E, The test dataset was input into the trained model. An age was predicted for every participant included in the test dataset. The PAD scores were calculated by subtracting the participant's chronological age from his or her predicted age. aMCI = amnestic mild cognitive impairment, GMV = gray matter volume, MNI = Montreal Neurologic Institute, Dartel = Diffeomorphic Anatomic Registrations Through Exponentiated Lie Algebra, PAD = predicted age difference. Chart courtesy of Radiological Society of North America

News | Artificial Intelligence | June 23, 2021
June 23, 2021 — Researchers have developed an...
An example of a COVID-19 pneumonia of a chest CT scan. The COVID appears as white ground glass opacities (GGOs) in the lungs. Normal lungs on CT should appear black.

An example of a COVID-19 pneumonia of a chest CT scan. The COVID appears as white ground glass opacities (GGOs) in the lungs. Normal lungs on CT should appear black.

News | Coronavirus (COVID-19) | June 23, 2021
June 23, 2021 — The Radiological Society of North America (...
Led by a Michigan Medicine physician, the research team examined treatment outcomes over two years for patients who fractured their distal radius, the larger of two bones in the forearm. They found no one-size-fits all method for treating the fracture, which more than 85,000 Medicare beneficiaries sustain annually.

Getty Images

News | Radiology Imaging | June 23, 2021
June 23, 2021 — A decade-long...
According to a new study, by the Harvey L. Neiman Health Policy Institute and the American College of Radiology’s National Mammography Database Committee, the most influential radiologist characteristics impacting mammography interpretive performance were geography, breast sub-specialization, performance of diagnostic mammography, and performance of diagnostic ultrasound.

Getty Images

News | Breast Imaging | June 23, 2021
June 23, 2021 — According to a new ...
A phase III clinical trial has validated the effectiveness of the prostate-specific membrane antigen (PSMA)-targeted radiotracer 18F-DCFPyL in detecting and localizing recurrent prostate cancer.

Figure 1. Case example: A 54-year-old man with a history of RP+LND and a subsequent PSA of 1.25 ng/mL had no evidence of disease by baseline imaging. Piflufolastat F 18 (18F-DCFPyL)- PET/CT accurately detected biochemically recurrent prostate cancer with the PSMA PET/CT scan identifying positive left (left panel) and right peri-rectal lymph nodes (right panel).

News | Prostate Cancer | June 21, 2021
June 21, 2021 — A phase III clinica...
A cardiac MRI of athletes who had COVID-19 is seven times more effective in detecting inflammation of the heart than symptom-based testing, according to a study led by researchers at The Ohio State University Wexner Medical Center and College of Medicine with 12 other Big Ten programs.

Cardiac Magnetic Resonance Imaging in Athletes With Clinical and Subclinical Myocarditis A-D, Athlete A with subclinical possible myocarditis was asymptomatic with normal electrocardiogram (ECG), echocardiogram, and high-sensitivity troponin findings. A, T2 mapping showing elevated T2 in basal-mid inferolateral wall in short axis view. B, late gadolinium enhancement (LGE) in the basal inferolateral wall in short axis view. C, Postcontrast steady state-free precession (SSFP) images showing contrast uptake in the basal-mid inferolateral wall in short axis view. D, LGE in the inferolateral wall in 3-chamber view. E-H, Athlete B with subclinical probable myocarditis was asymptomatic with normal ECG, normal echocardiogram, and elevated high-sensitivity troponin findings. E, T2 mapping showing elevated T2 in the anteroseptal wall in short axis view. F, LGE in the anteroseptal wall in 3-chamber view. G, T2 mapping showing elevated T2 in the anteroseptal wall in 3-chamber view. F, Postcontrast SSFP image showing pericardial effusion in short axis view. I-K, Athlete C with clinical myocarditis and chest pain, dyspnea, abnormal ECG, normal echocardiogram, and normal troponin findings. I, T2 mapping showing elevated T2 in the lateral wall short axis view. J, Postcontrast SSFP images showing contrast uptake in midlateral wall in short axis view. K, LGE in the epicardial midlateral wall in short axis view. L-N, Athlete D with clinical myocarditis, chest pain, abnormal ECG, echocardiogram, and troponin findings. L, T1 mapping showing elevated native T1 in midlateral wall in short axis view. M, T2 mapping showing elevated T2 in the midlateral wall in short axis view. N, LGE in the epicardial midlateral wall in short axis view. IR indicates inferior right view; IRP, inferior, right, posterior view; PLI, posterior, left, inferior view; SL, superior left view; SLA, superior, left, anterior view. Image courtesy of JAMA Cardiol. Published online May 27, 2021. doi:10.1001/jamacardio.2021.2065

News | Cardiac Imaging | June 15, 2021
June 15, 2021 — A...
Rensselaer algorithm can identify risk of cardiovascular disease using lung cancer scan #CT
News | Computed Tomography (CT) | June 14, 2021
June 14, 2021 — Heart disease and cancer are the ...
A new imaging technique has the potential to detect neurological disorders — such as Alzheimer's disease — at their earliest stages, enabling physicians to diagnose and treat patients more quickly. Termed super-resolution, the imaging methodology combines position emission tomography (PET) with an external motion tracking device to create highly detailed images of the brain.

Result of the Hoffman brain phantom study. Top row: same PET slice reconstructed with A) 2mm static OSEM, B) 1mm static OSEM, C) proposed SR method and D) corresponding CT slice (note that the CT image can be treated as a high-resolution reference). Middle row: zoom on region of interest for corresponding images. Bottom row: Line profiles for corresponding data. Image created by Y Chemli, et al., Gordon Center for Medical Imaging: Department of Radiology Massachusetts General Hospital, Harvard Medical School, Boston, MA.

News | PET Imaging | June 14, 2021
June 14, 2021 — A new imaging technique has the potential to detect neurological disorders — such as...
Prediction performance of DL compared to quantitative measures and Kaplan-Meier curves for quartiles of DL. Image created by Singh et al., Cedars-Sinai Medical Center, Los Angeles, CA.

Prediction performance of DL compared to quantitative measures and Kaplan-Meier curves for quartiles of DL. Image created by Singh et al., Cedars-Sinai Medical Center, Los Angeles, CA.

News | SPECT Imaging | June 14, 2021
June 14, 2021 — An advanced artificial i...