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Enregistrement W3008677922 · doi:10.1016/j.xjtc.2020.02.009

Commentary: Preoperative planning using 3-dimensional printed models: Static versus dynamic

2020· editorial· en· W3008677922 sur OpenAlexaboutno aff
Bahaaldin Alsoufi

Notice bibliographique

RevueJTCVS Techniques · 2020
Typeeditorial
Langueen
DomaineEngineering
ThématiqueAnatomy and Medical Technology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCoronary sinusMedicineFibrous jointAnastomosisSurgical planning3d printedSick sinus syndromeSurgeryCardiologyBiomedical engineering

Résumé

récupéré en direct d'OpenAlex

Central Message3D printing is valuable tool planning complex heart surgery. However, current technology is limited by the static nature of those models that might not accurately simulate in vivo dynamic conditions.See Article page 135. 3D printing is valuable tool planning complex heart surgery. However, current technology is limited by the static nature of those models that might not accurately simulate in vivo dynamic conditions. See Article page 135. In the current issue of the Journal, Hussein and colleagues1Hussein N. Kasdi R. Coles J.G. Yoo S.J. Use of 3-dimensionally printed heart models in the planning and simulation of surgery in patients with Raghib syndrome (coronary sinus defect with left superior vena cava).J Thorac Cardiovasc Surg Tech. 2020; 2: 135-138Scopus (4) Google Scholar from the Hospital for Sick Children in Toronto report 2 children with a rare congenital cardiac anomaly, Raghib syndrome (unroofed coronary sinus defect with persistent left superior vena cava). In both patients, they obtained high-resolution cross-sectional images and subsequently created 3-dimensional (3D)-printed models to better understand the morphology of these defects and also simulate various operative approaches with the aim to select the optimal surgical choice. They used Agilus clear resin (Stratasys Ltd, Eden Prairie, Minn) to print these models and that soft material allowed them to reproduce the different surgeries and actually suture a patch and perform various anastomoses on those models. Based on that, they chose intra-atrial baffle for both patients, who did well following surgery and had satisfactory echocardiographic results. 3D printing is an exciting technology that is being increasingly used in medicine, including pediatric cardiac surgery. The main application so far has been in the preoperative planning of congenital heart disease. The Toronto group, led by Shi-Joon Yoo, has been one of the pioneering programs adopting this enthusing technology in children with congenital heart disease for education and surgical planning.2Yoo S.J. Spray T. Austin III, E.H. Yun T.J. van Arsdell G.S. Hands-on surgical training of congenital heart surgery using 3-dimensional print models.J Thorac Cardiovasc Surg. 2017; 153: 1530-1540Abstract Full Text Full Text PDF PubMed Scopus (83) Google Scholar,3Yoo S.J. van Arsdell G.S. 3D printing in surgical management of double outlet right ventricle.Front Pediatr. 2018; 5: 289Crossref PubMed Scopus (20) Google Scholar The current submission from the same group is another contribution to our knowledge of the utility of this evolving skill. Undoubtedly, 3D printing enhances our understanding of anatomy in complex intracardiac defects and has been helpful determining suitability for biventricular repair, surgery type, and the need for additional procedures in various settings in our field.2Yoo S.J. Spray T. Austin III, E.H. Yun T.J. van Arsdell G.S. Hands-on surgical training of congenital heart surgery using 3-dimensional print models.J Thorac Cardiovasc Surg. 2017; 153: 1530-1540Abstract Full Text Full Text PDF PubMed Scopus (83) Google Scholar, 3Yoo S.J. van Arsdell G.S. 3D printing in surgical management of double outlet right ventricle.Front Pediatr. 2018; 5: 289Crossref PubMed Scopus (20) Google Scholar, 4Valverde 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, 5Alsoufi B. Commentary: three-dimensional printing: reshaping opportunities in congenital cardiac surgery.J Thorac Cardiovasc Surg. 2019; 157: e291-e292Abstract Full Text Full Text PDF PubMed Scopus (2) Google Scholar, 6Milano E.G. Capelli C. Wray J. Biffi B. Layton S. Lee M. et al.Current and future applications of 3D printing in congenital cardiology and cardiac surgery.Br J Radiol. 2019; 92: 1094Crossref Scopus (12) Google Scholar Nonetheless, this 3D-printing expertise is currently restricted by several factors that limit our ability to accurately mimic the environment that the heart and extracardiac structures will be exposed to in reality. When using 3D printing to plan extracardiac repair, the current equipment might not be able to take into account the effect of distortion or compression by adjacent cardiac and extracardiac structures, chest wall, or existing devices. In addition, when using 3D printing to plan complicated intracardiac repair, this simulation does not allow for assessment of the repair in a dynamic setting. A patch that is used for intracardiac baffling might bulge based on several factors (preload and afterload, pressure differential at both ends of the patch, valvular insufficiency or obstruction, etc), and that bulge might cause inflow or outflow obstruction with consequent hemodynamic changes that can contribute to development of residual lesions affecting satisfactory repair. Moreover, the ability to duplicate the results operatively might be occasionally compromised by difficult exposure, valve chordae, conduction system, and of course technical imperfections (anastomotic structures, stiff patch, etc). Therefore, although valuable and stimulating, the current limitations of 3D printing in our field should motivate us to explore ways to develop dynamic models that would better mimic the in vivo milieu and further enhance our ability to identify the optimal surgical approach. Ex vivo dynamic testing of artificial valves and devices has been done by industry for decades and might be one way to enhance this system; combination with other advanced methodologies such as computational flow dynamics might also be beneficial; and most importantly further improvements in detailed imaging and print material properties might allow us in the near future to perform preoperative dynamic testing and assess flow in the simulated repaired models. Use of 3-dimensionally printed heart models in the planning and simulation of surgery in patients with Raghib syndrome (coronary sinus defect with left superior vena cava)JTCVS TechniquesVol. 2PreviewRaghib syndrome, also known as coronary sinus defect with persistent left superior vena cava (LSVC), consists of complete unroofing of the partial wall between the coronary sinus and the left atrium in the presence of persistent LSVC.1 It is characterized hemodynamically by drainage of the LSVC to the left atrium and a large interatrial shunt through the ostium of the unroofed coronary sinus. This article describes the use of 3-dimensional (3D) models in the presurgical planning and simulation of 2 patients with Raghib syndrome. Full-Text PDF Open Access

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,268
Score d'incertitude au seuil1,000

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 recherche0,0010,002
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 Opus0,021
Tête enseignante GPT0,304
Écart entre enseignants0,283 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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