Evidence map›Paper›PMID 36820361›Full record

ArticleJTCVS techniques2023

Three-dimensional printing and virtual reconstruction in surgical planning of double-outlet right ventricle repair.

Kevin Ponchant, Duy-Anh Nguyen, Milan Prsa, Maurice Beghetti, Tornike Sologashvili, Jean-Paul Vallée

Open access · goldAbstract read
In one paragraph

Article in JTCVS techniques, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 3D Printing in Constrictive Pericarditis Assessment.Arquivos brasileiros de cardiologia · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Kevin PonchantCardiovascular Radiology Unit, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Duy-Anh NguyenPediatric Cardiology Unit, Children's University Hospital, Geneva, Switzerland.
Milan PrsaDivision of Pediatric Cardiology, Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Maurice BeghettiPediatric Cardiology Unit, Children's University Hospital, Geneva, Switzerland.
Tornike SologashviliCentre Universitaire Romand de Cardiologie et Chirurgie Cardiaque Pédiatrique, Geneva University Hospitals/Lausanne University Hospital, Geneva/Lausanne, Switzerland.
Jean-Paul ValléeCardiovascular Radiology Unit, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
University of Geneva · CHUniversity of Lausanne · CHUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: For more than a decade, 3-dimensional (3D) printing has been identified as an innovative tool for the surgical planning of double-outlet right ventricle (DORV). Nevertheless, lack of evidence concerning its benefits encourages us to identify valuable criteria for future prospective trials. Methods: We conducted a retrospective study involving 10 patients with DORV operated between 2015 and 2019 in our center. During a preoperative multidisciplinary heart team meeting, we harvested surgical decisions following a 3-increment step process: (1) multimodal imaging; (2) 3D virtual valvular reconstruction (3DVVR); and (3) 3D-printed heart model (3DPHM). The primary outcome was the proportion of predicted surgical strategy following each of the 3 steps, compared with the institutional retrospective surgical strategy. The secondary outcome was the change of surgical strategy through 3D modalities compared with multimodal imaging. The incremental benefit of the 3DVVR and 3DPHM over multimodal imaging was then assessed. Results: The operative strategy was predicted in 5 cases after multimodal imaging, in 9 cases after 3DVVR, and the 10 cases after 3DPHM. Compared with multimodal imaging, 3DVVR modified the strategy for 4 cases. One case was correctly predicted only after 3DPHM inspection. Conclusions: 3DVVR and 3DPHM improved multimodal imaging in the surgical planning of patients with DORV. 3DVVR allowed a better appreciation of the relationships between great vessels, valves, and ventricular septal defects. 3DPHM offers a realistic preoperative view at patient scale and enhances the evaluation of outflow tract obstruction. Our retrospective study demonstrates benefits of preoperative 3D modalities and supports future prospective trials to assess their impact on postoperative outcomes.

Indexed as

3D, 3-dimensional3D modality in surgical planning3DPHM, 3D-printed heart model3D printed heart model3D printing3D virtual valvular reconstruction3DVVR, 3D virtual valvular annulus reconstructionCTA, computed tomography angiogramDORV, double-outlet right ventricledouble-outlet right ventricleLV, left ventriclePA, pulmonary arteryPV, pulmonary valveTGA, transposition of the great arteriesTTE, transthoracic echocardiographyVSD, ventricular septal defect

Identifiers

PMID36820361
PMCPMC9938382
OpenAlexW4310061558

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.