Qualitative Echocardiographic Assessment of Aortic Valve Regurgitation with Quantitative Cardiac Magnetic Resonance: A Comparative Study
University of Nebraska/Creighton University Joint Division of Pediatric Cardiology, Children's Hospital and Medical Center, Omaha, NE 68114, USA.Pediatric Cardiology (Impact Factor: 1.31). 08/2009; 30(7):971-7. DOI: 10.1007/s00246-009-9490-6
This study examined the correlation of echocardiography (ECHO) and Cardiac Magnetic Resonance (CMR) in the assessment of aortic valve regurgitation (AR) in children and young adults with congenital heart disease. We hypothesized that qualitative ECHO assessment correlates insufficiently with quantitative CMR data and compared subjective ECHO evaluations with objective measurement of regurgitant fractions (RF) by CMR. Patients who had both ECHO and CMR assessments of AR within 60 days of each other were included. The qualitative ECHO assessment (mild, moderate, severe) of AR and left ventricular dimension at end diastole were recorded. RF was quantified by CMR using phase-contrast velocity mapping. Repeat ECHO review and grading of AR was performed by a blinded single reader in a randomly chosen subgroup of patients. In 43 patients studied, statistical significance was observed in the CMR-RF between mild and moderate, and between mild and severe ECHO grades. There was significant overlap of objective RF between subjective grades. Mild ECHO AR corresponded to an RF (%) of 0-29, moderate 1-40, and severe 5-58. Overlap was more significant at moderate and severe grades. Results were similar in the group in whom a single reader interpreted the ECHO assessment. In conclusion, results derived from a real-life multiple-reader ECHO laboratory showed inconsistencies in ECHO grading of AR, with a wide range of objectively measured RF within a given ECHO grade. ECHO is less reliable in identifying more severe AR, often overestimating severity. Quantitative CMR is a potentially useful supplement to ECHO for management decisions and assessments of medical and surgical therapies in children and young adults with AR.
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ABSTRACT: A time series of strain images is acquired while applying a ramp-and-hold compression to measure viscous creep from which viscoelastic properties of breast stroma can be measured. The literature on the ultrastructure of breast connective tissue suggests that profound changes occur during tumor formation that may generate contrast for viscoelastic properties. We review the continuum mechanics of uniaxial compressions of hydrated polymers to develop the feature space for our imaging approach. Two examples of clinical breast images show classic sonographic and elastographic features, and also suggest that viscoelastic properties, particularly the first strain retardance time constant T1, may provide unique diagnostic opportunities.Ultrasonics Symposium, 2005 IEEE; 10/2005
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ABSTRACT: This study compared the area of the regurgitant orifice, as measured by the use of multidetector-row CT (MDCT), with the severity of aortic regurgitation (AR) as determined by the use of echocardiography for AR. In this study, 45 AR patients underwent electrocardiography-gated 40-slice or 64-slice MDCT and transthoracic or transesophageal echocardiography. We reconstructed CT data sets during mid-systolic to enddiastolic phases in 10% steps (20% and 35-95% of the R-R interval), planimetrically measuring the abnormally opened aortic valve area during diastole on CT reformatted images and comparing the area of the aortic regurgitant orifice (ARO) so measured with the severity of AR, as determined by echocardiography. In the 14 patients found to have mild AR, the ARO area was 0.18+/-0.13 cm(2) (range, 0.04-0.54 cm(2)). In the 15 moderate AR patients, the ARO area was 0.36 +/- 0.23 cm(2) (range, 0.09-0.81 cm(2)). In the 16 severe AR patients, the ARO area was 1.00 +/- 0.51 cm(2) (range, 0.23-1.84 cm(2)). Receiver-operator characteristic curve analysis determined a sensitivity of 85% and a specificity of 82%, for a cutoff of 0.47 cm(2), to distinguish severe AR from less than severe AR with the use of CT (area under the curve = 0.91; 95% confidence interval, 0.84-1.00; p < 0.001). Planimetric measurement of the ARO area using MDCT is useful for the quantitative evaluation of the severity of aortic regurgitation.Korean journal of radiology: official journal of the Korean Radiological Society 03/2010; 11(2):169-77. DOI:10.3348/kjr.2010.11.2.169 · 1.57 Impact Factor
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ABSTRACT: Background- Multiple echocardiographic parameters have been identified to predict the severity of aortic regurgitation (AR) with variable reliability. This study was performed to identify which echocardiographic parameters best predict the severity of AR in a cohort of patients with congenital heart disease, using cardiovascular MRI quantification as a reference standard. Methods and Results- The study involved 2 phases. In phase 1, predictive models were developed on the basis of multivariable analysis of various morphometric and Doppler variables obtained from 174 echocardiograms that best predicted the severity of AR as defined by paired cardiovascular MRI examinations. A nonlinear estimate of regurgitation fraction, using the variables parasternal vena contracta-derived area divided by body surface area and abdominal aorta Doppler retrograde velocity-time integral divided by antegrade velocity-time integral, was identified through multivariable analysis as the best predictive model for AR fraction. In phase 2, the predictive models were prospectively tested on 43 echocardiographic examinations for which a paired cardiovascular MRI was performed. The agreement between the observed and predicted AR fraction was assessed using Bland-Altman analysis. For the 30 studies of the validation data set that had adequate quality images of both the parasternal vena contracta width and the abdominal aorta flow profile, the predicted AR values had a mean bias±SD of 0.4±7.3% (P=0.80). Conclusions- A model using the 2 variables parasternal vena contracta-derived area divided by body surface area and abdominal aorta Doppler retrograde velocity-time integral divided by antegrade velocity-time integral can predict AR severity in patients with a wide variety of congenital heart disease.Circulation Cardiovascular Imaging 09/2010; 3(5):542-9. DOI:10.1161/CIRCIMAGING.110.957175 · 5.32 Impact Factor
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