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Enregistrement W3133606606 · doi:10.1016/j.xjtc.2021.02.037

Commentary: Inspection of 3-dimensional rendered hearts will become the standard of care before complex congenital heart surgery

2021· editorial· en· W3133606606 sur OpenAlex
Nicholas D. Andersen, Gregory M. Sturgeon, Piers Barker, Joseph W. Turek

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Notice bibliographique

RevueJTCVS Techniques · 2021
Typeeditorial
Langueen
DomaineEngineering
ThématiqueAnatomy and Medical Technology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineGreat arteriesBespokeCardiologyHeart diseaseInternal medicineSurgery

Résumé

récupéré en direct d'OpenAlex

Central MessageAccelerating technology for 3-dimensional (3D) rendered hearts will allow for inspection of a 3D heart before any complex congenital heart operation. The benefits of this preoperative planning tool are self-evident.See Article page 199. Accelerating technology for 3-dimensional (3D) rendered hearts will allow for inspection of a 3D heart before any complex congenital heart operation. The benefits of this preoperative planning tool are self-evident. See Article page 199. In the current issue of JTCVS Techniques, Contreras and colleagues1Contreras J.R. Villemain O. Marini D. Dragulescu A. Yoo S.-J. Barron D.J. Utility of a bespoke 3-dimensional printed model in complex transposition.J Thorac Cardiovasc Surg Tech. 2021; 7: 199-202Scopus (3) Google Scholar from Toronto report the case of a 7-month-old child with complex transposition of the great arteries, ventricular septal defect (VSD), pulmonary stenosis, and single coronary artery who was evaluated for biventricular repair using echocardiography, magnetic resonance imaging (MRI), and a 3-dimensional (3D) printed heart. In the written report and the accompanying expert video presentation by Dr Barron, the authors demonstrate how the 3D printed model served as a useful adjunct for planning the surgical repair, which entailed a Yasui operation (Damus–Kaye–Stansel/Rastelli) with VSD enlargement. The echocardiographic result and clinical course were similarly excellent, and the child was discharged home after 4 days. Although a critic may argue that the 3D heart model was superfluous, and that the key information needed to plan the operation could have been retrieved entirely from the echocardiogram and MRI, it borders on the self-evident that careful examination of a physical 3D reconstruction of the heart before surgery improves decision making as well as intraoperative execution and error reduction.2Yoo S.J. van Arsdell G.S. 3D printing in surgical management of double outlet right ventricle.Front Pediatr. 2018; 5: 289Crossref PubMed Scopus (24) Google Scholar, 3Valverde I. Gomez-Ciriza G. Hussain T. Suarez-Mejias C. Velasco-Forte M.N. Byrne N. et al.Three-dimensional printed models for surgical planning of complex congenital heart defects: an international multicentre study.Eur J Cardiothorac Surg. 2017; 52: 1139-1148Crossref PubMed Google Scholar, 4Zhao L. Zhou S. Fan T. Li B. Liang W. Dong H. Three-dimensional printing enhances preparation for repair of double outlet right ventricular surgery.J Card Surg. 2018; 33: 24-27Crossref PubMed Scopus (31) Google Scholar, 5Bhatla P. Tretter J.T. Ludomirsky A. Argilla M. Latson Jr., L.A. Chakravarti S. et al.Utility and scope of rapid prototyping in patients with complex muscular ventricular septal defects or double-outlet right ventricle: does it alter management decisions?.Pediatr Cardiol. 2017; 38: 103-114Crossref PubMed Scopus (57) Google Scholar Simply put, if the goal of the preoperative imaging evaluation is to create a noninvasive depiction of the physical structure of the heart, then the generation of a 3D model represents the ultimate fulfillment of this goal. Secondary benefits include use of the model as a teaching aid for surgeons, cardiologists, and imagers alike; surgical simulation; and creation of a shared understanding of the anatomic constraints of the operation between surgeons and cardiologists.6Yoo S.J. Thabit O. Kim E.K. Ide H. Yim D. Dragulescu A. et al.3D printing in medicine of congenital heart diseases.3D Print Med. 2016; 2: 3Crossref Google Scholar In real-world practice, however, creation of a 3D heart model is currently a cumbersome and time-consuming task that is poorly reimbursed (if at all). At our program, we are fortunate to have an imaging technician who specializes in creating 3D heart models. The time required for one model can include up to 10 hours for segmentation and preprocessing, 6 to 24 hours for printing, and 2 to 4 hours for postprocessing. Currently, none of this investment in specialized technician time, printing supplies, or printers is directly reimbursed, making the effort a cost sink for the program. Despite these barriers, however, we have found the models to be so incredibly helpful that we are now requesting 3D model generation before most complex operations, and particularly for understanding intraventricular baffle pathways (Figure 1, left), akin to the case report presentation. However, manipulation of a digital surface model in a 3D PDF file on a computer screen is often sufficient to understand the physical relationships of extracardiac structures, such as in patients with heterotaxy and complex systemic and pulmonary venous anomalies (Figure 1, right). Both of these segmentation-derived techniques are superior to standard volumetric rendering techniques, which although capable of displaying the contrast-enhanced blood pool, fail to demonstrate intracardiac spatial relationships. Selective use of virtual 3D models in lieu of a printed heart allows for time and cost savings related to the printing process. In the last calendar year, our program performed approximately 350 index heart operations in children and produced 19 3D printed hearts and another 30 virtual 3D renderings before surgical or catheter-based intervention. Although currently there are barriers to the generation of advanced 3D rendered hearts, we expect that these barriers will be quickly overcome, and that the technology will become a routine part of the preoperative assessment for most complex congenital heart operations. For the technology to accelerate, automation of the segmentation process with use of artificial intelligence, stereoscopic display, and “hollow” volume rendering could greatly reduce the time and labor investment required to create a model. Further advances in printing technology and physical materials will allow for the depiction of leaflet and chordal structures that currently are difficult to depict. Additional experience using 3D echo datasets as the backbone of the model will allow for model generation without the need for axial imaging in every case. Finally, for the technology to proliferate and truly become accepted as the standard of care before surgery, medical reimbursement will need to cover the costs associated with model generation. The important challenge will be to rigorously study the impact of 3D models on surgical outcomes, to prove that there is a benefit to patient care that justifies these costs.3Valverde I. Gomez-Ciriza G. Hussain T. Suarez-Mejias C. Velasco-Forte M.N. Byrne N. et al.Three-dimensional printed models for surgical planning of complex congenital heart defects: an international multicentre study.Eur J Cardiothorac Surg. 2017; 52: 1139-1148Crossref PubMed Google Scholar,4Zhao L. Zhou S. Fan T. Li B. Liang W. Dong H. Three-dimensional printing enhances preparation for repair of double outlet right ventricular surgery.J Card Surg. 2018; 33: 24-27Crossref PubMed Scopus (31) Google Scholar Utility of a bespoke 3-dimensional printed model in complex transpositionJTCVS TechniquesVol. 7PreviewTransposition of the great arteries (TGA), ventricular septal defect (VSD), and left ventricular outflow tract obstruction (LVOTO) are part of the spectrum of complex TGA. Several surgical techniques have been described, including Rastelli procedure, réparation à l'etage ventriculaire (REV), and the Bex-Nikaidoh procedure. Nevertheless, the optimal surgical repair is still controversial and can depend on the morphology of any individual patient, especially if there are abnormal coronary patterns. Full-Text PDF Open Access

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,696
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,254
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle