Evidence map›Paper›PMID 36531701›Full record

ArticleFrontiers in cardiovascular medicine2022

3D modeling and printing for complex biventricular repair of double outlet right ventricle.

Jan Brüning, Peter Kramer, Leonid Goubergrits, Antonia Schulz, Peter Murin, Natalia Solowjowa, Titus Kuehne, Felix Berger, Joachim Photiadis, Viktoria Heide-Marie Weixler

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05852106 (The Effect of 3D Modeling on Family Quality of Life, Surgical Success and Patient Outcomes in Congenital Heart Diseases), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% 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.

NCT05852106 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Effect of 3D Modeling on Family Quality of Life, Surgical Success and Patient Outcomes in Congenital Heart Diseases: A Randomized Controlled Trial Protocol

TypeinterventionalSponsorYeditepe UniversityRan2023 to 2024Enrolled30ConditionsCongenital Heart DiseaseArmsSurgical Simulation with 3D Heart Model and Parental Education with "Congenital Heart Disease Parent Education Booklet" and tailored 3D Heart Modeling
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Jan BrüningInstitute for Cardiovascular Computer-Assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Peter KramerDepartment of Congenital Heart Disease/Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany.
Leonid GoubergritsInstitute for Cardiovascular Computer-Assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Antonia SchulzDepartment of Congenital Heart Surgery and Pediatric Heart Surgery, German Heart Center Berlin, Berlin, Germany.
Peter MurinDepartment of Congenital Heart Surgery and Pediatric Heart Surgery, German Heart Center Berlin, Berlin, Germany.
Natalia SolowjowaDepartment of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, Germany.
Titus KuehneInstitute for Cardiovascular Computer-Assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Felix BergerPartner Site Berlin, German Center for Cardiovascular Research (DZHK), Berlin, Germany.
Joachim PhotiadisDepartment of Congenital Heart Surgery and Pediatric Heart Surgery, German Heart Center Berlin, Berlin, Germany.
Viktoria Heide-Marie WeixlerPartner Site Berlin, German Center for Cardiovascular Research (DZHK), Berlin, Germany.
Deutsches Herzzentrum der Charité · DECharité - Universitätsmedizin Berlin · DEDeutsches Herzzentrum München · DEGerman Centre for Cardiovascular Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Double outlet right ventricle (DORV) describes a group of congenital heart defects where pulmonary artery and aorta originate completely or predominantly from the right ventricle. The individual anatomy of DORV patients varies widely with multiple subtypes classified. Although the majority of morphologies is suitable for biventricular repair (BVR), complex DORV anatomy can render univentricular palliation (UVP) the only option. Thus, patient-specific decision-making is critical for optimal surgical treatment planning. The evolution of image processing and rapid prototyping techniques facilitate the generation of detailed virtual and physical 3D models of the patient-specific anatomy which can support this important decision process within the Heart Team. Materilas and methods: The individual cardiovascular anatomy of nine patients with complex DORV, in whom surgical decision-making was not straightforward, was reconstructed from either computed tomography or magnetic resonance imaging data. 3D reconstructions were used to characterize the morphologic details of DORV, such as size and location of the ventricular septal defect (VSD), atrioventricular valve size, ventricular volumes, relationship between the great arteries and their spatial relation to the VSD, outflow tract obstructions, coronary artery anatomy, etc. Additionally, physical models were generated. Virtual and physical models were used in the preoperative assessment to determine surgical treatment strategy, either BVR vs. UVP. Results: Median age at operation was 13.2 months (IQR: 9.6-24.0). The DORV transposition subtype was present in six patients, three patients had a DORV-ventricular septal defect subtype. Patient-specific reconstruction was feasible for all patients despite heterogeneous image quality. Complex BVR was feasible in 5/9 patients (55%). Reasons for unsuitability for BVR were AV valve chordae interfering with potential intraventricular baffle creation, ventricular hypoplasia and non-committed VSD morphology. Evaluation in particular of qualitative data from 3D models was considered to support comprehension of complex anatomy. Conclusion: Image-based 3D reconstruction of patient-specific intracardiac anatomy provides valuable additional information supporting decision-making processes and surgical planning in complex cardiac malformations. Further prospective studies are required to fully appreciate the benefits of 3D technology.

Indexed as

3D printingbiventricular repaircongenital heart diseasedouble outlet right ventricle (DORV)image reconstruction

Identifiers

PMID36531701
PMCPMC9748612
OpenAlexW4310995051

What OpenQuestion holds

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Registered trials

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.