Unveiling ccTGA complexity: CMR and 3D modelling for surgical planning—a case series
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Le résumé fourni par la source
Aims: Congenitally corrected transposition of the great arteries (ccTGA) is a rare congenital heart defect characterized by atrioventricular and ventriculoarterial discordance and frequently associated with heterogeneous anatomical anomalies. This variability makes surgical indication and strategy particularly complex, requiring accurate preoperative anatomical and functional assessment. We report four paediatric patients with complex ccTGA who underwent anatomical repair at our institution between July 2022 and March 2024. Associated findings included dextrocardia, situs inversus, ventricular septal defects, pulmonary outflow tract obstruction, and atrioventricular valve abnormalities. Methods and results: All patients underwent stepwise multimodal imaging. Transthoracic echocardiography was complemented by cardiovascular magnetic resonance (CMR) to assess ventricular volumes and function, septal defects, outflow tract relationships, and systemic and pulmonary venous return. CMR datasets were processed to generate patient-specific virtual and 3D-printed models through dedicated segmentation, preserving real anatomical dimensions. These models were used for surgical simulation and multidisciplinary planning. Integration of CMR and 3D modelling directly influenced operative strategy in all cases. 3D reconstructions refined ventricular septal defect tunnelling towards the aorta, optimized ventriculotomy site selection, clarified atrial switch configuration, and anticipated the need for pulmonary root translocation. Anatomical repair was successfully achieved in all four patients, with no early mortality and preserved biventricular function at short follow-up. Conclusion: Structured integration of CMR and patient-specific 3D modelling enhances spatial understanding and supports individualized surgical planning in complex ccTGA. Incorporating advanced imaging into routine clinical workflow represents a valuable strategy to improve precision and decision-making in anatomically challenging congenital heart disease.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Unveiling ccTGA complexity: CMR and 3D modelling for surgical planning—a case series
- Date Crossref
- 19/07/2025
- Éditeur
- Oxford University Press (OUP)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Padua pays non établi dans la noticeUniversité ou école supérieure
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Scan Foundation pays non établi dans la noticeOrganisation à but non lucratif
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Fondazione Toscana Gabriele Monasterio pays non établi dans la noticeInstitution
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National Academies of Sciences pays non établi dans la noticeOrganisme public
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National Research Council pays non établi dans la noticeOrganisme public
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University of Padova Department of Paediatric and Congenital Cardiac Surgery pays non établi dans la noticeUniversité ou école supérieure
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Department of Paediatric and Congenital Cardiology and Cardiac Surgery pays non établi dans la noticeOrganisation à but non lucratif
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BioCardioLab pays non établi dans la noticeStructure de recherche
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Heart Hospital of Massa Department of Radiology and Diagnostic Imaging pays non établi dans la noticeÉtablissement de santé
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Institute of Clinical Physiology pays non établi dans la noticeStructure de recherche
University of Padua, Scan Foundation et Fondazione Toscana Gabriele Monasterio, avec 7 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.