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MRI of total anomalous pulmonary venous connections.
- Source :
-
Journal of computer assisted tomography [J Comput Assist Tomogr] 1994 Mar-Apr; Vol. 18 (2), pp. 243-9. - Publication Year :
- 1994
-
Abstract
- Objective: A prospective MR study was undertaken in 13 patients with total anomalous pulmonary venous connection (TAPVC) to determine the value of MR in its detection.<br />Materials and Methods: Echocardiography was performed in all cases and cardiac angiography was performed in eight patients before MRI.<br />Results: Magnetic resonance detected TAPVC in four cases without prior echocardiographic and angiographic diagnosis. In seven surgically proven cases, the diagnostic accuracy of preoperative MR, echocardiography, and cardiac angiography was 100 (7 of 7), 57 (4 of 7), and 25% (1 of 4), respectively. In the remaining cases including three cases for postoperative evaluation, MR findings correlated well with those of echocardiography or angiography. The combination of axial and coronal MRI visualized 96% of the individual anomalous pulmonary veins and 100% of the common pulmonary veins. Stenosis of a common pulmonary vein (three cases) or the superior vena cava (one case) was identified on MR in all cases.<br />Conclusion: Magnetic resonance is an effective modality in depicting TAPVCs.
- Subjects :
- Angiography
Azygos Vein abnormalities
Azygos Vein diagnostic imaging
Azygos Vein pathology
Brachiocephalic Veins abnormalities
Brachiocephalic Veins diagnostic imaging
Brachiocephalic Veins pathology
Child
Child, Preschool
Coronary Vessel Anomalies diagnosis
Coronary Vessel Anomalies diagnostic imaging
Echocardiography
Female
Heart Atria abnormalities
Heart Atria diagnostic imaging
Heart Atria pathology
Humans
Infant
Infant, Newborn
Male
Prospective Studies
Pulmonary Veins diagnostic imaging
Retrospective Studies
Vena Cava, Superior abnormalities
Vena Cava, Superior diagnostic imaging
Vena Cava, Superior pathology
Magnetic Resonance Imaging methods
Pulmonary Veins abnormalities
Pulmonary Veins pathology
Subjects
Details
- Language :
- English
- ISSN :
- 0363-8715
- Volume :
- 18
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of computer assisted tomography
- Publication Type :
- Academic Journal
- Accession number :
- 8126275
- Full Text :
- https://doi.org/10.1097/00004728-199403000-00014