The Role of Cardiovascular Magnetic Resonance (CMR) and Computed Tomography (CCT) in Facilitating Heart Failure Management

Stacey, Richard; Hundley, W. Gregory

doi:10.1007/s11936-013-0253-6

Cited by 10 publications

(4 citation statements)

References 62 publications

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“…The higher prevalence of non-cardiac findings in our study as compared with those in Cardiac MRI (CMR) in the study done by Becker CR [45], might be explained by the fact that the reporting of benign non-cardiac findings may have been influenced by a given reader's decision to include (or not include) findings that would not impact the patient's care in MRI. CT has greater spatial resolution [46,47] and is generally considered to be superior to CMR in detecting pulmonary pathology. Unlike TRO, the CMR examination does not capture the entire chest, and CMR sequences are not optimized for non-cardiac pathology [48].…”

Section: Discussionmentioning

confidence: 99%

“Triple-Rule-Out” in Investigating Cases of Acute Chest Pain (Saudi Experience)

Saad¹

2018

JOCCT

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Objective: Triple Rule-Out (TRO) is a recent Technique for evaluating Emergency Department (ED) acute Chest Pain Patients. The aim of this study is to assess the effectiveness of TRO in identifying the cause of acute chest in emergency department. Materials and Methods:This is a prospective study done in Kingdom of Saudi Arabia (KSA) tertiary referral hospital during the period between March 2014 and June 2017. 237 patients who fulfill the inclusion criteria and continue all follow up visits for six months were included. They were presented to ED with acute chest pain suspected to be acute coronary syndrome. Their ages ranged between 29 and 72 years old with the mean age of 42.8 years. 164 patients were males and the rest were females. TRO was performed to all of them using a 64 and 128 Multi-Detector Computed Tomography (MDCT) scanners. Results:According to the results of TRO, the patients had fallen into one of the three groups: (1) Patients with coronary artery disease including 62 patients (26.2%) and were classified according to the severity of the coronary artery stenosis into mild, moderate, and severe stenosis subgroups.(2) Patients with extra-coronary diseases that explain patient's complaints including 94 patients (39.7%). (3) Patients without obvious disease which can explain patient's complaints including 81 patients (34.1%). Additional 136 extra-coronary incidental findings which are not related to the presenting complaints were reported and were treated accordingly.Conclusions: TRO examination is a fast and useful technique in mak¬ing a quick and accurate diagnosis in patients presented to ED with acute non-traumatic chest pain. It allows imaging of the coronary arteries, entire chest, and upper abdominal organs with rapid acquisition and data reconstruction to provide prompt and accurate diagnosis. It is also used to identify many of clinically significant non-cardiac findings that may have an impact on the management of those patients.

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Section: Discussionmentioning

confidence: 99%

“Triple-Rule-Out” in Investigating Cases of Acute Chest Pain (Saudi Experience)

Saad¹

2018

JOCCT

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Section: Factsmentioning

confidence: 99%

“…Evaluation of cardiomyopathy with reduced ejection fraction by CMR is usually performed through a pharmacologic stress test, whereby information on wall motion, rest and stress myocardial perfusion, and delayed gadolinium enhancement are collected. 38 Apart from diagnosing ischaemia, CMR stress Guest Editorial test results have been demonstrated to provide accurate estimates of cardiovascular prognosis. 39 For example, Steel et al showed the prognostic implication and usefulness of stress CMR myocardial perfusion and late gadolinium enhancement in a population of 254 patients, whereby patients with neither perfusion deficits nor late gadolinium enhancement had a 98.1% negative annual event rate for death and myocardial infarction.…”

Section: Heart Failure With Reduced Ejection Fractionmentioning

confidence: 99%

Magnetic resonance imaging in heart failure, including coronary imaging: numbers, facts, and challenges

et al. 2017

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Coronary artery disease (CAD) is a major risk factor for the incidence and progression of heart failure (HF). HF is characterized by a substantial morbidity and mortality and its lifetime risk is estimated at approximately 20% for men and women. As patients are in most cases identified only after developing overt clinical symptoms, detecting early stages of CAD and HF is of paramount importance. Due to its non‐invasiveness, excellent soft‐tissue contrast, high spatial resolution, and multiparametric nature, cardiovascular magnetic resonance (CMR) imaging has emerged as a promising radiation‐free technique to assess a wide range of cardiovascular diseases such as CAD or HF, enabling a comprehensive evaluation of myocardial anatomy, regional and global function, and viability with the additional benefit of in vivo tissue characterization. CMR has the potential to enhance our understanding of coronary atherosclerosis and the aetiology of HF on functional and biological levels, to identify patients at risk for CAD or HF, and to enable individualized patient management and improved outcomes. Even though larger‐scale studies on the different applications of CMR for the assessment of heart failure are scarce, recent research highlighted new possible clinical applications for CMR in the evaluation of CAD and HF.

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“…Different types of technology have been developed for the non-invasive examination of CVDs, such as computed tomography (CT), cardiovascular magnetic resonance (CMR), echocardiography, etc., [2].…”

Section: Introductionmentioning

confidence: 99%

Cardiac MRI Segmentation Using Deep Learning

Das

2022

Preprint

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Cardiovascular diseases (CVDs) remain the principal cause of all global death and disabilities worldwide. Cardiac MR Images play an important role in diagnosing and treating cardiac ailments in patients. Automatic segmentation of Cardiac Magnetic Resonance Imaging (Cardiac MRI) is an essential application in clinical practice. In this paper, Cardiac MRI segmentation is performed using a convolutional neural network. ACDC Challenge 2017 dataset is used the training and testing purpose. It consists of data of 100 subjects, including the End Systole and End Diastole phase. The model's performance is measured using the Dice coefficient, achieving an accuracy of 0.90. The results for basal as well as with apical slices are pretty encouraging.

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The Role of Cardiovascular Magnetic Resonance (CMR) and Computed Tomography (CCT) in Facilitating Heart Failure Management

Cited by 10 publications

References 62 publications

“Triple-Rule-Out” in Investigating Cases of Acute Chest Pain (Saudi Experience)

“Triple-Rule-Out” in Investigating Cases of Acute Chest Pain (Saudi Experience)

Magnetic resonance imaging in heart failure, including coronary imaging: numbers, facts, and challenges

Cardiac MRI Segmentation Using Deep Learning

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