3D-Printed Models for Multidisciplinary Discussion of Congenital Heart Diseases
Background. Congenital heart defects (CHDs) are complex three-dimensional (3D) lesions with variable anatomies that present therapeutic challenges. The application of a patient-specific3D-printed model in preoperative planning and communication in medical practice can contribute to a complete unders...
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Veröffentlicht in: | Journal of cardiac surgery 2023-02, Vol.2023, p.1-8 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Background. Congenital heart defects (CHDs) are complex three-dimensional (3D) lesions with variable anatomies that present therapeutic challenges. The application of a patient-specific3D-printed model in preoperative planning and communication in medical practice can contribute to a complete understanding of the intracardiac and vascular anatomy. This study aimed to prospectively investigate the clinical value of a 3D CHD model in multidisciplinary discussions. Methods. Between August 2019 and April 2021, 19 patients with complex CHDs before surgery were prospectively enrolled in this study. Eight to 14 medical specialists participated in multidisciplinary discussions using patient-specific 3D models. A subjective satisfaction questionnaire, comprising 12 questions to be answered on a 10-point scale, was distributed. Results. Twenty 3D-printed anatomic models of 19 patients were used. The median age and weight of the enrolled patients were 0.8 years (range, 5 days to 43 years) and 9.6 kg (range, 2.8–54 kg), respectively. The most common underlying disease was a double outlet of the right ventricle. The mean scores for understanding spatial orientation, ease of communication between clinicians during discussions, prediction of surgical complications, and information additional to conventional 2D imaging were 9.4 ± 1.1, 9.4 ± 0.9, 9.0 ± 1.1, and 9.2 ± 0.4, respectively. The competency and comfort scores for each patient’s surgical plan increased significantly after using the 3D-printed model (from 6.2 ± 1.6 to 9.2 ± 0.9, p |
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ISSN: | 1540-8191 1540-8191 |
DOI: | 10.1155/2023/8899573 |