Indications for cardiovascular magnetic resonance in children with congenital and acquired heart disease: an expert consensus paper of the Imaging Working Group of the AEPC and the Cardiovascular Magnetic Resonance Section of the EACVI

Buechel, Emanuela R. Valsangiacomo; Grosse-Wortmann, Lars; Fratz, Sohrab; Eichhorn, Joachim; Sarikouch, Samir; Greil, Gerald; Beerbaum, Phillip; Bucciarelli-Ducci, Chiara; Bonello, Béatrice; Sieverding, Ludger; Schwitter, Juerg; Helbing, Willem A.

doi:10.1093/ehjci/jeu129

Cited by 126 publications

(60 citation statements)

References 133 publications

(145 reference statements)

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“…Thus, TTE is often inadequate in patients with complex CHD, necessitating the use of complementary approaches. Emerging MRI techniques are able to visualize both intracardiac and extracardiac structures, and have a number of advantages that include functional as well as morphologic evaluation of complex CHD, a multiplanar capability with wide field of view, and no requirement for contrast medium or ionizing radiation [8–10]. However, the disadvantages of MR angiography (MRA) include a lower spatial resolution than other non-invasive techniques, poorer evaluation of the lung tissue and airways, and a long scanning time of 45–60 minutes that increases the risks associated with intubation and anesthesia [3, 4].…”

Section: Introductionmentioning

confidence: 99%

Comparison of 128-Slice Low-Dose Prospective ECG-Gated CT Scanning and Trans-Thoracic Echocardiography for the Diagnosis of Complex Congenital Heart Disease

et al. 2016

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ObjectiveTo compare prospective ECG-gated multi-slice computed tomography (MSCT) and trans-thoracic echocardiography (TTE) in the diagnosis of complex congenital heart disease (CHD).MethodsThis was a prospective study of consecutive patients with complex CHD (age <7 years) treated at a tertiary hospital between May 2013 and May 2015. All patients were imaged with TTE and prospective ECG-gated 128-slice spiral CT in the week before surgery. Effective radiation dose (ED) was calculated from volume CT dose index (CTDIvol) and dose length product (DLP). Image quality (5-point scale) was assessed independently by two radiologists. Using surgical findings as the reference, the diagnostic capabilities of MSCT and TTE were compared.ResultsThirty-five patients (19 males) aged 1.59±1.58 years (range, 3 days to 74 months) were included. CTDIvol, DLP and ED were 0.90±0.24 mGy, 12.9±4.7 mGy∙cm and 0.64±0.21 mSv (range, 0.358–1.196 mSv), respectively. Image quality score was 4.3±0.5, and all images met the diagnostic requirements. The sensitivity, specificity, positive predictive value, and negative predictive value for diagnosing CHD were 97.2%, 99.8%, 99.0%, and 99.5%, respectively, for MSCT, and 90.6%, 99.8%, 99.0%, and 98.4%, respectively, for TTE. MSCT not only had a higher sensitivity than TTE overall (97.2% vs. 90.6%; P<0.05), but was much more sensitive for the diagnosis of extracardiac vascular abnormalities (92.0% vs. 68.0%; P<0.05).Conclusion128-slice low-dose prospective ECG-gated CT scanning has important clinical value in the diagnosis of complex CHD in children, complementing and extending the findings of TTE.

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Section: Introductionmentioning

confidence: 99%

Comparison of 128-Slice Low-Dose Prospective ECG-Gated CT Scanning and Trans-Thoracic Echocardiography for the Diagnosis of Complex Congenital Heart Disease

et al. 2016

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“…Cardiac magnetic resonance imaging (CMR) is routinely performed during follow-up after TCPC, particularly to assess ventricular size and function and to quantify large vessel flow, including the amount of collateral flow 98 – 102 . Death and (being listed for) heart transplantation have been associated with higher end-diastolic volume index (EDVi) (>125 mL/m 2 ) as assessed with CMR in adolescents with a Fontan circulation 103 , 104 .…”

Section: State Of the Artmentioning

confidence: 99%

State of the art of the Fontan strategy for treatment of univentricular heart disease

et al. 2018

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In patients with a functionally univentricular heart, the Fontan strategy achieves separation of the systemic and pulmonary circulation and reduction of ventricular volume overload. Contemporary modifications of surgical techniques have significantly improved survival. However, the resulting Fontan physiology is associated with high morbidity. In this review, we discuss the state of the art of the Fontan strategy by assessing survival and risk factors for mortality. Complications of the Fontan circulation, such as cardiac arrhythmia, thromboembolism, and protein-losing enteropathy, are discussed. Common surgical and catheter-based interventions following Fontan completion are outlined. We describe functional status measurements such as quality of life and developmental outcomes in the contemporary Fontan patient. The current role of drug therapy in the Fontan patient is explored. Furthermore, we assess the current use and outcomes of mechanical circulatory support in the Fontan circulation and novel surgical innovations. Despite large improvements in outcomes for contemporary Fontan patients, a large burden of disease exists in this patient population. Continued efforts to improve outcomes are warranted. Several remaining challenges in the Fontan field are outlined.

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“…Cardiac MR (CMR) imaging has been established as a clinically important technique for the assessment of cardiac morphology, function, perfusion, viability, and more recently quantitative myocardial tissue characterization (1)(2)(3). CMR is currently used to diagnose congenital heart disease (CHD), ischemic heart disease, valvular heart disease, pericardial lesions, cardiac tumors and cardiomyopathies, among others (4,5). However, CMR suffers from long acquisition times due to the need of obtaining images with high temporal and spatial resolution, different contrasts, and/or whole-heart coverage.…”

Section: Introductionmentioning

confidence: 99%

From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction

Bustin

Fuin

Botnar

et al. 2020

Front. Cardiovasc. Med.

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Cardiac magnetic resonance (CMR) imaging is an important tool for the non-invasive assessment of cardiovascular disease. However, CMR suffers from long acquisition times due to the need of obtaining images with high temporal and spatial resolution, different contrasts, and/or whole-heart coverage. In addition, both cardiac and respiratory-induced motion of the heart during the acquisition need to be accounted for, further increasing the scan time. Several undersampling reconstruction techniques have been proposed during the last decades to speed up CMR acquisition. These techniques rely on acquiring less data than needed and estimating the non-acquired data exploiting some sort of prior information. Parallel imaging and compressed sensing undersampling reconstruction techniques have revolutionized the field, enabling 2-to 3-fold scan time accelerations to become standard in clinical practice. Recent scientific advances in CMR reconstruction hinge on the thriving field of artificial intelligence. Machine learning reconstruction approaches have been recently proposed to learn the non-linear optimization process employed in CMR reconstruction. Unlike analytical methods for which the reconstruction problem is explicitly defined into the optimization process, machine learning techniques make use of large data sets to learn the key reconstruction parameters and priors. In particular, deep learning techniques promise to use deep neural networks (DNN) to learn the reconstruction process from existing datasets in advance, providing a fast and efficient reconstruction that can be applied to all newly acquired data. However, before machine learning and DNN can realize their full potentials and enter widespread clinical routine for CMR image reconstruction, there are several technical hurdles that need to be addressed. In this article, we provide an overview of the recent developments in the area of artificial intelligence for CMR image reconstruction. The underlying assumptions of established techniques such as compressed sensing and low-rank reconstruction are briefly summarized, while a greater focus is given to recent advances in dictionary learning and deep learning based CMR reconstruction. In particular, approaches that exploit neural networks as implicit or explicit priors are discussed for 2D dynamic cardiac imaging and 3D whole-heart CMR imaging. Current limitations, challenges, and potential future directions of these techniques are also discussed.

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Indications for cardiovascular magnetic resonance in children with congenital and acquired heart disease: an expert consensus paper of the Imaging Working Group of the AEPC and the Cardiovascular Magnetic Resonance Section of the EACVI

Cited by 126 publications

References 133 publications

Comparison of 128-Slice Low-Dose Prospective ECG-Gated CT Scanning and Trans-Thoracic Echocardiography for the Diagnosis of Complex Congenital Heart Disease

Comparison of 128-Slice Low-Dose Prospective ECG-Gated CT Scanning and Trans-Thoracic Echocardiography for the Diagnosis of Complex Congenital Heart Disease

State of the art of the Fontan strategy for treatment of univentricular heart disease

From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction

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