Evidence map›Paper›PMID 39342312›Full record

ArticleJournal of cardiothoracic surgery2024

Surgical planning aided with 3D technologies for management of complex paracardiac tumors.

Camilo E Pérez-Cualtán, Catalina Vargas-Acevedo, Juliana Sánchez-Posada, Camila Castro-Páez, Roberto Gutiérrez-Vargas, Julián F Forero-Melo, Juan Manuel Pérez, Juan Carlos Briceño, Héctor M Medina, Juan Pablo Umaña and 2 more

Abstract readCase Reports
In one paragraph

Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

12 authors.

Camilo E Pérez-CualtánDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.
Catalina Vargas-AcevedoCenter for 3D Modeling and Printing, Fundación Cardioinfantil - LaCardio, Bogotá, Colombia.
Juliana Sánchez-PosadaDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.
Camila Castro-PáezDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.
Roberto Gutiérrez-VargasCenter for 3D Modeling and Printing, Fundación Cardioinfantil - LaCardio, Bogotá, Colombia.
Julián F Forero-MeloCenter for 3D Modeling and Printing, Fundación Cardioinfantil - LaCardio, Bogotá, Colombia.
Juan Manuel PérezCenter for 3D Modeling and Printing, Fundación Cardioinfantil - LaCardio, Bogotá, Colombia.
Juan Carlos BriceñoDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.
Héctor M MedinaDepartment of Cardiac Imaging, The Texas Heart Institute, Baylor College of Medicine, Houston, TX, USA.
Juan Pablo UmañaDepartment of Cardiac Surgery, Cleveland Clinic, Weston, FL, USA.
Javier Navarro-RuedaCenter for 3D Modeling and Printing, Fundación Cardioinfantil - LaCardio, Bogotá, Colombia.
Carlos Eduardo Guerrero-ChalelaCenter for 3D Modeling and Printing, Fundación Cardioinfantil - LaCardio, Bogotá, Colombia. ceguerrero@lacardio.org.

Funding

Ministerio de Ciencia, Tecnología e Innovación contract 744-2021 (Project code #223989785090)
6 · The paper itself

Abstract

backgroundAccurate diagnosis and treatment of complex cardiac tumors poses challenges, particularly when surgical resection is considered. 3D reconstruction and printing appear as a novel approach to allow heart teams for optimal surgical and post operative care.

methodsWe report two patients with uncommon masses including a cardiac angiosarcoma (CAS) and a IgG4-related disease (IgG4-RD) with exclusive cardiac involvement. In both cases, three-dimensional (3D) reconstruction and 3D-printed models were utilized to aid the surgical team achieve optimal pre-operative planning. Both patients underwent ECG-gated cardiac computed tomography angiography (CCTA) imaging and, due to the complex anatomy of the masses, their large dimensions, proximity to vital cardiac and vascular structures, and unclear etiology, computational and 3D-printed models were created for surgical planning. An exploratory literature review of studies using 3D-printed models in surgical planning was performed.

resultsIn case 1 (CAS), due to the size and extension of the mass to the right ventricular free wall, surgical intervention was not considered curative and, during thoracotomy, an open biopsy confirmed the imaging suspicion of CAS which guided the initiation of optimal medical treatment with chemotherapy and, after clear tumor retraction, the patient underwent a second surgical intervention, and during the 18 months of follow-up showed no signs of recurrence. In Case 2 (IgG4-RD), the patient underwent uncomplicated total surgical resection; this allowed directed treatment and, at 12 months follow-up, there are no signs of recurrence. Computational and 3D-printed models were used to plan the surgery and to confirm the findings. Limited studies have explored the use of 3D printing in the surgical planning of tumors.

conclusionsWe present two patients with uncommon cardiac tumors, highlighting the significant value of 3D models in the anatomical characterization and assessment of their extension. These models may be essential in surgical planning for complex cardiovascular cases and could provide more information than conventional imaging modalities. Further studies are needed to demonstrate the impact of 3D technologies in studying cardiac tumors.

Indexed as

Heart NeoplasmsHemangiosarcomaPrinting, Three-DimensionalCardiac Surgical ProceduresComputed Tomography AngiographyHumansImaging, Three-Dimensional3D-printingAngiosarcomaCardiac tumorsSurgery

Identifiers

PMID39342312
PMCPMC11438039

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LicenceCC BY-NC-ND
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Registered trials

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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.