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3D modeling and printing for complex biventricular repair of double outlet right ventricle.
Brüning, Jan; Kramer, Peter; Goubergrits, Leonid; Schulz, Antonia; Murin, Peter; Solowjowa, Natalia; Kuehne, Titus; Berger, Felix; Photiadis, Joachim; Weixler, Viktoria Heide-Marie.
Afiliación
  • Brüning J; Institute for Cardiovascular Computer-Assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Kramer P; Partner Site Berlin, German Center for Cardiovascular Research (DZHK), Berlin, Germany.
  • Goubergrits L; Department of Congenital Heart Disease/Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany.
  • Schulz A; Institute for Cardiovascular Computer-Assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Murin P; Einstein Center Digital Future, Berlin, Germany.
  • Solowjowa N; Department of Congenital Heart Surgery and Pediatric Heart Surgery, German Heart Center Berlin, Berlin, Germany.
  • Kuehne T; Berlin Institute of Health (BIH), Berlin, Germany.
  • Berger F; Department of Congenital Heart Surgery and Pediatric Heart Surgery, German Heart Center Berlin, Berlin, Germany.
  • Photiadis J; Department of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, Germany.
  • Weixler VH; Institute for Cardiovascular Computer-Assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Front Cardiovasc Med ; 9: 1024053, 2022.
Article en En | MEDLINE | ID: mdl-36531701
Background: Double outlet right ventricle (DORV) describes a group of congenital heart defects where pulmonary artery and aorta originate completely or predominantly from the right ventricle. The individual anatomy of DORV patients varies widely with multiple subtypes classified. Although the majority of morphologies is suitable for biventricular repair (BVR), complex DORV anatomy can render univentricular palliation (UVP) the only option. Thus, patient-specific decision-making is critical for optimal surgical treatment planning. The evolution of image processing and rapid prototyping techniques facilitate the generation of detailed virtual and physical 3D models of the patient-specific anatomy which can support this important decision process within the Heart Team. Materilas and methods: The individual cardiovascular anatomy of nine patients with complex DORV, in whom surgical decision-making was not straightforward, was reconstructed from either computed tomography or magnetic resonance imaging data. 3D reconstructions were used to characterize the morphologic details of DORV, such as size and location of the ventricular septal defect (VSD), atrioventricular valve size, ventricular volumes, relationship between the great arteries and their spatial relation to the VSD, outflow tract obstructions, coronary artery anatomy, etc. Additionally, physical models were generated. Virtual and physical models were used in the preoperative assessment to determine surgical treatment strategy, either BVR vs. UVP. Results: Median age at operation was 13.2 months (IQR: 9.6-24.0). The DORV transposition subtype was present in six patients, three patients had a DORV-ventricular septal defect subtype. Patient-specific reconstruction was feasible for all patients despite heterogeneous image quality. Complex BVR was feasible in 5/9 patients (55%). Reasons for unsuitability for BVR were AV valve chordae interfering with potential intraventricular baffle creation, ventricular hypoplasia and non-committed VSD morphology. Evaluation in particular of qualitative data from 3D models was considered to support comprehension of complex anatomy. Conclusion: Image-based 3D reconstruction of patient-specific intracardiac anatomy provides valuable additional information supporting decision-making processes and surgical planning in complex cardiac malformations. Further prospective studies are required to fully appreciate the benefits of 3D technology.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Qualitative_research Idioma: En Revista: Front Cardiovasc Med Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Qualitative_research Idioma: En Revista: Front Cardiovasc Med Año: 2022 Tipo del documento: Article