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Enregistrement W3008516228 · doi:10.1016/j.xjtc.2020.01.025

Commentary: Is 3-dimensional printing the panacea for preoperative surgical planning of complex congenital heart disease?

2020· editorial· en· W3008516228 sur OpenAlexaboutno aff
Ibrahim Abdullah

Notice bibliographique

RevueJTCVS Techniques · 2020
Typeeditorial
Langueen
DomaineMedicine
ThématiqueVascular anomalies and interventions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIntracardiac injectionCoronary sinusMedicineHeart diseaseSurgical planningCardiologySurgeryCardiac surgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

Central Message3D-printed heart models add significant value to preoperative planning and simulation of surgery in patients with congenital heart disease.See Article page 135. 3D-printed heart models add significant value to preoperative planning and simulation of surgery in patients with congenital heart disease. See Article page 135. In this 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 Toronto present 2 fascinating cases demonstrating the practical utility of 3-dimensional (3D)-printed heart models in the presurgical planning and simulation of patients with Raghib syndrome. In this relatively rare congenital anomaly in which there is a left superior vena cava draining into an unroofed coronary sinus, the authors analyze 4 options of baffling the deoxygenated left superior vena cava blood to the right atrium. Ultimately, they settle on an intracardiac baffle along the roof of the left atrium. As such, the 3D-printed model simulations gave the group a precise execution plan that was thought to provide the best flow dynamics and minimize intraoperative decision-making. Given this, should preoperative 3D printing become the standard of care for complex congenital cardiac repairs and, furthermore, is this technology sufficient for planning the most operative time-efficient and optimal hemodynamic repair? Compelling data suggest that preoperative surgical planning with 3D-printed hearts of complex congenital heart disease offers clinical benefit. Zhao and colleagues2Zhao 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 (25) Google Scholar analyzed 25 patients who had complex double-outlet right ventricle. Of those, 8 patients were in the 3D-printed group and 17 patients were in the non–3D-printed group. Although not statistically significant, the 3D-printed group had shorter cardiopulmonary bypass times and shorter aortic crossclamp times. However, statistical significance was achieved in shorter mechanical ventilation times and shorter intensive care unit stays for the 3D-printed group. Another retrospective study, by Ryan and colleagues,3Ryan J. Plasencia J. Richardson R. Velez D. Nigro J.J. Pophal S. et al.3D printing for congenital heart disease: a single site's initial three-year experience.3D Print Med. 2018; 4: 10Crossref PubMed Google Scholar analyzed 928 operative cases between 2012 and 2014 in which 164 were associated with 3D-printed hearts. When compared with the non–3D-printed group, the 3D-printed group had shorter mean operative times and lower 30-day readmission and mortality rates, but again without statistical significance. However, this study provided impetus for the current 3DHEART multi-institutional randomized, single-blind clinical trial evaluating the use of 3D print technology in preoperative planning for pediatric heart surgery. There is no doubt that 3D print technology is being used effectively for congenital heart preoperative planning, as Yoo and colleagues demonstrate, but they also aptly point out that this technology by itself is unable to assess the results of a repair in a dynamic setting. For example, they choose the intracardiac baffle along the roof of the left atrium because of visual assessments, but what if they had quantifiable computational fluid dynamics models to validate this approach, which would be further validated in a 3D-print reconstruction? Siallagan and colleagues4Siallagan D. Loke Y.H. Olivieri L. Opfermann J. Ong C.S. de Zélicourt D. et al.Virtual surgical planning, flow simulation, and 3-dimensional electrospinning of patient-specific grafts to optimize Fontan hemodynamics.J Thorac Cardiovasc Surg. 2018; 155: 1734-1742Abstract Full Text Full Text PDF PubMed Scopus (20) Google Scholar demonstrated this when they used computational fluid dynamics to show that a bifurcated Fontan conduit optimizes hepatic flow distribution and reduces power loss in a patient and then used 3D printing to geometrically construct the computationally optimal graft for in vitro validation. Perhaps it is a combination of preoperative planning technologies that will get us to the most efficient and optimal congenital reconstructions, but 3D printing has certainly started to make an impact. 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 candidatesaucune
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 enseignants0,282
Score d'incertitude au seuil0,787

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,034
Tête enseignante GPT0,353
Écart entre enseignants0,318 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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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