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

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

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

Bibliographic record

VenueJTCVS Techniques · 2020
Typeeditorial
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsnot available
Fundersnot available
KeywordsCoronary sinusMedicineFibrous jointAnastomosisSurgical planning3d printedSick sinus syndromeSurgeryCardiologyBiomedical engineering

Abstract

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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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.304
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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