Cardiac MRI: Indications and Clinical Utility—A Single Centre Experience

Rayoo, R.; Kearney, L.; Grewal, J.; Ord, M.; Lu, K.; Smith, Gabriella; Srivastava, Piyush

doi:10.1016/j.hlc.2012.05.474

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cardiac magnetic resonance (MR) imaging (cMRI) is the clinical gold-standard for assessing cardiac morphology and global systolic function (40,46,59). Despite its excellent spatial resolution and unique potential for additional structural and functional quantification (e.g., fibrosis assessment and/or myocardial energetics), cMRI is not currently utilized for cardiac exercise stress imaging.…”

Section: Introductionmentioning

confidence: 99%

Exercise cardiac magnetic resonance imaging: a feasibility study and meta-analysis

Beaudry

Samuel

Wang

et al. 2018

American Journal of Physiology-Regulatory, Integrative and Comp

View full text Add to dashboard Cite

Cardiac stress testing improves detection and risk assessment of heart disease. Magnetic resonance imaging (MRI) is the clinical gold-standard for assessing cardiac morphology and function at rest; however, exercise MRI has not been widely adapted for cardiac assessment because of imaging and device limitations. Commercially available magnetic resonance ergometers, together with improved imaging sequences, have overcome many previous limitations, making cardiac stress MRI more feasible. Here, we aimed to demonstrate clinical feasibility and establish the normative, healthy response to supine exercise MRI. Eight young, healthy subjects underwent rest and exercise cinematic imaging to measure left ventricular volumes and ejection fraction. To establish the normative, healthy response to exercise MRI we performed a comprehensive literature review and meta-analysis of existing exercise cardiac MRI studies. Results were pooled using a random effects model to define the left ventricular ejection fraction, end-diastolic, end-systolic, and stroke volume responses. Our proof-of-concept data showed a marked increase in cardiac index with exercise, secondary to an increase in both heart rate and stroke volume. The change in stroke volume was driven by a reduction in end-systolic volume, with no change in end-diastolic volume. These findings were entirely consistent with 17 previous exercise MRI studies (226 individual records), despite differences in imaging approach, ergometer, or exercise type. Taken together, the data herein demonstrate that exercise cardiac MRI is clinically feasible, using commercially available exercise equipment and vendor-provided product sequences and establish the normative, healthy response to exercise MRI.

show abstract

Section: Introductionmentioning

confidence: 99%

Exercise cardiac magnetic resonance imaging: a feasibility study and meta-analysis

Beaudry

Samuel

Wang

et al. 2018

American Journal of Physiology-Regulatory, Integrative and Comp

View full text Add to dashboard Cite

show abstract

“…Cardiac MRI is used for the assessment of cardiac structure and function such as the characterization of myocardial tissue, blood volume and blood flow measurements [17] – [19] . Other applications include the diagnosis of cardiac amyloidosis [20] , identification of regions with left ventricle hypertrophy [21] .…”

Section: Introductionmentioning

confidence: 99%

Image Quality Evaluation in Clinical Research: A Case Study on Brain and Cardiac MRI Images in Multi-Center Clinical Trials

Osadebey

Pedersen

Arnold

et al. 2018

IEEE J. Transl. Eng. Health Med.

View full text Add to dashboard Cite

Magnetic resonance imaging (MRI) system images are important components in the development of drugs because it can reveal the underlying pathology in diseases. Unfortunately, the processes of image acquisition, storage, transmission, processing, and analysis can influence image quality with the risk of compromising the reliability of MRI-based data. Therefore, it is necessary to monitor image quality throughout the different stages of the imaging workflow. This report describes a new approach to evaluate the quality of an MRI slice in multi-center clinical trials. The design philosophy assumes that an MRI slice, such as all natural images, possess statistical properties that can describe different levels of contrast degradation. A unique set of pixel configuration is assigned to each possible level of contrast-distorted MRI slice. Invocation of the central limit theorem results in two separate Gaussian distributions. The central limit theorem says that the mean and standard deviation of pixel configuration assigned to each possible level of contrast degradation will follow a normal distribution. The mean of each normal distribution corresponds to the mean and standard deviation of the underlying ideal image. Quality prediction processes for a test image can be summarized into four steps. The first step extracts local contrast feature image from the test image. The second step computes the mean and standard deviation of the feature image. The third step separately standardizes each normal distribution using the mean and standard deviation computed from the feature image. This gives two separate z-scores. The fourth step predicts the lightness contrast quality score and the texture contrast quality score from cumulative distribution function of the appropriate normal distribution. The proposed method was evaluated objectively on brain and cardiac MRI volume data using four different types and levels of degradation. The four types of degradation are Rician noise, circular blur, motion blur, and intensity nonuniformity also known as bias fields. Objective evaluation was validated using a proposed variation of difference of mean opinion scores. Results from performance evaluation show that the proposed method will be suitable to monitor and standardize image quality throughout the different stages of imaging workflow in large clinical trials. MATLAB implementation of the proposed objective quality evaluation method can be downloaded from ().

show abstract

Clinical Usage of Cardiovascular Magnetic Resonance Imaging: Single-Center Experience in the New Era of Cardiovascular Imaging

Özden¹,

Tokdil²,

Tokdil³

et al. 2022

Istanbul Med J

View full text Add to dashboard Cite

Cardiac MRI: Indications and Clinical Utility—A Single Centre Experience

Cited by 3 publications

References 0 publications

Exercise cardiac magnetic resonance imaging: a feasibility study and meta-analysis

Exercise cardiac magnetic resonance imaging: a feasibility study and meta-analysis

Image Quality Evaluation in Clinical Research: A Case Study on Brain and Cardiac MRI Images in Multi-Center Clinical Trials

Clinical Usage of Cardiovascular Magnetic Resonance Imaging: Single-Center Experience in the New Era of Cardiovascular Imaging

Contact Info

Product

Resources

About