Commentary: Is 3-dimensional printing the panacea for preoperative surgical planning of complex congenital heart disease?
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".