Purpose
The anomalous pulmonary venous connection represents a spectrum of conditions in which the pulmonary veins are connected partially or fully to the right atrium,
directly or through a collector system,
instead of the left atrium.
Represents from 1.5 to 5% of all congenital heart disease.
Echocardiography is an non invasive imaging method helpful in evaluation of this disease,
but has the limitation that sometimes some extra cardiac structures cannot be visualized.
The cardiac computed tomography (CT) is useful in the evaluation of extracardiac structures.
In...
Methods and Materials
65 patients were studied from February 2011 to June 2013 August.
Echocardiogram were performed as initial approach and compared with cardiac computed tomography,
the sites of interest are the correct diagnosis and the site of connection of the pulmonary veins.
And compared with de surgery findings.
Results
65 patients were studied with echocardiography (ECHO) and cardiac computed tomography (CT).
ECHO and CT had a concordance of 60% (40 cases).
And 40% of non concordance.
Of that 60%,
35.9% (14 cases) both studies agreed that the study is normal.
48.7% (19 cases) that are total anomalous pulmonary venous connection,
10% (4 cases) parcial anomalous venous connection,
5% (2 cases) mixed anomalous venous connection,
2.5% (1 case) scimitar syndrome.
Of that 40%,
64% (17 cases) ECHO reported an normal study and TC reported parcial...
Conclusion
Echocardiography and cardiac computed tomography have good concordance in total anomalous venous connection.
And when the study is normal.
Cardiac CT is useful in evaluating the partial anomalous venous connection.
Cardiac CT has good concordance with surgery findings.
And is more useful than echocardiography in the evaluation of extracardiac structures.
References
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Bonelli-Sica et al.
AJR 200,
February 2013.
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Garson a,
Bricker T: The science and practice of pediatric cardiology.
1990.
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Calderon,
Buendia.
Pediatric Cardiology.
Editorial Panamericana.
2013.
4.
Appropiate use criteria of cardiac computer tomography.
2010.