[Flow measurements in cardiac MRI]

[Imaging of congenital heart defects with a focus on magnetic resonance imaging and computed tomography]

CLINICAL ISSUE

Due to advances in diagnostics and therapy, the survival rate of patients with congenital heart defects is continuously increasing. The aim of this review is to compare various imaging modalities that are used in the diagnosis of congenital heart defects.

METHODS

Transthoracic echocardiography is the imaging method of choice in the presence of a congenital heart defect because of its wide availability and non-invasiveness. It can be complemented by transesophageal echocardiography, cardiac catheterization, computed tomography (CT), and magnetic resonance imaging (MRI) of the heart and vessels close to the heart.

METHODICAL INNOVATIONS

The radiation exposure of CT examinations of the heart is continuously decreasing because of improved technologies. MRI is also being continuously optimized, e.g., by the acquisition of MR angiographies without contrast medium application or a thin three-dimensional (3D) visualization of the entire heart with the possibility of reconstruction in all spatial planes (whole-heart technique) as well as 2D to 4D flow.

PRACTICAL RECOMMENDATION

Due to the complexity of congenital heart defects and the variety of possible pathologies, the choice of imaging modality and its exact performance has to be coordinated in an interdisciplinary context and individually adapted.

ESTIMATION OF WALL SHEAR STRESS USING 4D FLOW CARDIOVASCULAR MRI AND COMPUTATIONAL FLUID DYNAMICS

In the last few years, wall shear stress (WSS) has arisen as a new diagnostic indicator in patients with arterial disease. There is a substantial evidence that the WSS plays a significant role, together with hemodynamic indicators, in initiation and progression of the vascular diseases. Estimation of WSS values, therefore, may be of clinical significance and the methods employed for its measurement are crucial for clinical community. Recently, four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) has been widely used in a number of applications for visualization and quantification of blood flow, and although the sensitivity to blood flow measurement has increased, it is not yet able to provide an accurate three-dimensional (3D) WSS distribution. The aim of this work is to evaluate the aortic blood flow features and the associated WSS by the combination of 4D flow cardiovascular magnetic resonance (4D CMR) and computational fluid dynamics technique. In particular, in this work, we used the 4D CMR to obtain the spatial domain and the boundary conditions needed to estimate the WSS within the entire thoracic aorta using computational fluid dynamics. Similar WSS distributions were found for cases simulated. A sensitivity analysis was done to check the accuracy of the method. 4D CMR begins to be a reliable tool to estimate the WSS within the entire thoracic aorta using computational fluid dynamics. The combination of both techniques may provide the ideal tool to help tackle these and other problems related to wall shear estimation.

Peak flow velocities in the ascending aorta-real-time phase-contrast magnetic resonance imaging vs. cine magnetic resonance imaging and echocardiography

This prospective study of eight healthy volunteers evaluates peak flow velocities (PFV) in the ascending aorta using real-time phase-contrast magnetic resonance imaging (MRI) in comparison to cine phase-contrast MRI and echocardiography. Flow measurements by echocardiography and cine phase-contrast MRI with breath-holding were performed according to clinical standards. Real-time phase-contrast MRI at 40 ms temporal resolution and 1.3 mm in-plane resolution was based on highly undersampled radial fast low-angle shot (FLASH) sequences with image reconstruction by regularized nonlinear inversion (NLINV). Evaluations focused on the determination of PFV. Linear regressions and Bland-Altman plots were used for comparisons of methods. When averaged across subjects, real-time phase-contrast MRI resulted in PFV of 120±20 cm s(-1) (mean ± SD) in comparison to 122±16 cm s(-1) for cine MRI and 124±20 cm s(-1) for echocardiography. The maximum deviations between real-time phase-contrast MRI and echocardiography ranged from -20 to +14 cm s(-1) (cine MRI: -10 to +12 cm s(-1)). Thus, in general, real-time phase-contrast MRI of cardiac outflow revealed quantitative agreement with cine MRI and echocardiography. The advantages of real-time MRI are measurements during free breathing and access to individual cardiac cycles.

Segmental kidney volumes measured by dynamic contrast-enhanced magnetic resonance imaging and their association with CKD in older people

BACKGROUND

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a potentially powerful tool for analysis of kidney structure and function. The ability to measure functional and hypofunctional tissues could provide important information in groups at risk for chronic kidney disease (CKD), such as the elderly.

STUDY DESIGN

Observational study with a cross-sectional design.

SETTING & PARTICIPANTS

493 volunteers (aged 72-94 years; 278 women; mean estimated glomerular filtration rate [eGFR], 67±15mL/min/1.73m(2); 40% with CKD) in the Age, Gene/Environment Susceptibility (AGES)-Reykjavik Study.

PREDICTOR

DCE-MRI kidney segmentation data.

OUTCOMES & MEASUREMENTS

eGFR, urine albumin-creatinine ratio (ACR), and risk factors for and complications of CKD.

RESULTS

After adjustment for age, sex, and height, eGFR was related to kidney volume (ΔR²=0.19; P<0.001), cortex volume (ΔR²=0.14; P<0.001), medulla volume (ΔR²=0.18; P<0.001), and volume percentages of fibrosis (ΔR²=0.03; P<0.001) and fat (ΔR²=0.01; P=0.03). In similarly adjusted models, log(ACR) was related to kidney volume (ΔR²=0.02; P<0.001) and fibrosis volume percentage (ΔR²=0.03; P<0.001). Using multivariable regression models adjusted for eGFR, ACR, age, sex, and height, kidney volume was related positively to body mass index (B=29.9±2.1[SE]mL; P<0.001), smoking (B=19.7±7.7mL; P=0.01), and diabetes mellitus (B=14.8±7.1mL; P=0.04) and negatively to hematocrit (B=-4.4±2.1mL; P=0.04 [model R²=0.72; P<0.001]); relations were per 1-SD greater value of the variable. Fibrosis volume percentage was associated positively with body mass index (B=0.28±0.03; P<0.001), cardiac output (B=0.15±0.03; P<0.001), and heart rate (B=0.08±0.03; P=0.01) and negatively with hematocrit (B=-0.07±0.3; P=0.02) and augmentation index (B=-0.06±0.03; P=0.04 [model R²=0.49; P<0.001]); again, relations are per 1-SD greater value of the variable.

LIMITATIONS

Automatic segmentations were not validated by histology. The limited age range prevented meaningful interpretation of age effects on measured data or the automatic segmentation procedure.

CONCLUSIONS

Kidney volume, cortex volume, and hypofunctional volume fraction assessed by DCE-MRI may provide information about CKD risk and prognosis beyond that provided by eGFR and urine ACR.

[Magnetic resonance imaging of dilated cardiomyopathy]

Dilated cardiomyopathy (DCM) is the most common type of cardiomyopathy with a prevalence of 1 out of 2,500 in adults. Due to mild clinical symptoms in the early phase of the disease, the true prevalence is probably even much higher. Patients present with variable clinical symptoms ranging from mild systolic impairment of left ventricular function to congestive heart failure. Even sudden cardiac death may be the first clinical symptom of DCM. The severity of the disease is defined by the degree of impairment of global left ventricular function. Arrhythmias, such as ventricular or supraventricular tachycardia, atrioventricular (AV) block, ventricular extrasystole and atrial fibrillation are common cardiac manifestations of DCM. Magnetic resonance imaging (MRI) plays an important role in the exact quantification of functional impairment of both ventricles and in the evaluation of regional wall motion abnormalities. With its excellent ability for the assessment of myocardial structure, it is becoming increasingly more important for risk stratification and therapy guidance.

[MRI for therapy control in patients with tetralogy of Fallot]

With prevalences ranging from 0.26 to 0.8‰ of all live births tetralogy of Fallot (TOF) is the most common congenital heart disease with primary cyanosis. Due to improvements in surgical techniques, nearly all patients can nowadays expect to reach adulthood. After surgical repair, pulmonary regurgitation (PR) occurs in almost every child and is an important contributing factor in long-term morbidity and mortality. Cardiac magnetic resonance imaging is well established for functional assessment and flow measurements and is an ideal tool for serial post-surgical follow-up examinations, as it is non-invasive and does not expose patients to ionizing radiation. The timing of pulmonary valve replacement is crucial as right ventricular (RV) volumes have only proven to normalize when preoperative end-diastolic volumes are <170 ml/m(2) and end-systolic volumes are <85 ml/m(2). After surgical repair up to 15% of patients have residual or recurrent pulmonary artery stenosis. Distal pulmonary branch stenosis can aggravate PR and lead to right heart failure due to combined pressure and volume overload. Therefore, it has to be diagnosed in time and treated by angioplasty with or without stenting.

[Functional cardiac MRI for assessment of aortic valve disease]

Aortic valve disease shows a rising incidence with the increasing mean age of Western populations. The detection of hemodynamic parameters, which transcends the mere assessment of valve morphology, has an important future potential concerning classification of the severity of disease. MRI allows a non-invasive and a spatially flexible view of the aortic valve and the adjacent anatomic region, left ventricular outflow tract (LVOT) and ascending aorta. Moreover, the technique allows the determination of functional hemodynamic parameters, such as flow velocities and effective orifice areas. The new approach of a serial systolic planimetry velocity-encoded MRI sequence (VENC-MRI) facilitates the sizing of blood-filled cardiac structures with the registration of changes in magnitude during systole. Additionally, the subvalvular VENC-MRI measurements improve the clinically important exact determination of the LVOT area with respect to its specific eccentric configuration and its systolic deformity.