Evidence map›Paper›PMID 35445896›Full record

Article3D printing in medicine2022

Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality.

Reena M Ghosh, Matthew A Jolley, Christopher E Mascio, Jonathan M Chen, Stephanie Fuller, Jonathan J Rome, Elizabeth Silvestro, Kevin K Whitehead

Open access · goldAbstract read
In one paragraph

Article in 3D printing in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 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

8 authors at 2 institutions in 1 country.

Reena M GhoshDivision of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA. reena.maria@gmail.com.
Matthew A JolleyDivision of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA.
Christopher E MascioDivision of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jonathan M ChenDivision of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Stephanie FullerDivision of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jonathan J RomeDivision of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA.
Elizabeth SilvestroDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Kevin K WhiteheadDivision of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA.
Children's Hospital of Philadelphia · USWest Virginia University · US

Funding

Computer Modeling of the Tricuspid Valve in Hypoplastic Left Heart SyndromeR01HL153166 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI JOLLEY, MATTHEW · 2020 to 2024
$3.7M
NHLBI NIH HHS R01 HL153166
6 · The paper itself

Abstract

backgroundSurgical and catheter-based interventions for congenital heart disease require precise understanding of complex anatomy. The use of three-dimensional (3D) printing and virtual reality to enhance visuospatial understanding has been well documented, but integration of these methods into routine clinical practice has not been well described. We review the growth and development of a clinical 3D modeling service to inform procedural planning within a high-volume pediatric heart center.

methodsClinical 3D modeling was performed using cardiac magnetic resonance (CMR) or computed tomography (CT) derived data. Image segmentation and post-processing was performed using FDA-approved software. Patient-specific anatomy was visualized using 3D printed models, digital flat screen models and virtual reality. Surgical repair options were digitally designed using proprietary and open-source computer aided design (CAD) based modeling tools.

resultsFrom 2018 to 2020 there were 112 individual 3D modeling cases performed, 16 for educational purposes and 96 clinically utilized for procedural planning. Over the 3-year period, demand for clinical modeling tripled and in 2020, 3D modeling was requested in more than one-quarter of STAT category 3, 4 and 5 cases. The most common indications for modeling were complex biventricular repair (n = 30, 31%) and repair of multiple ventricular septal defects (VSD) (n = 11, 12%).

conclusionsUsing a multidisciplinary approach, clinical application of 3D modeling can be seamlessly integrated into pre-procedural care for patients with congenital heart disease. Rapid expansion and increased demand for utilization of these tools within a high-volume center demonstrate the high value conferred on these techniques by surgeons and interventionalists alike.

Indexed as

3D printingCardiac catheterizationCardiothoracic surgeryComputer aided designCongenital heart diseaseImagingMagnetic resonance imagingPediatric cardiologySurgical planningVirtual reality

Identifiers

PMID35445896
PMCPMC9027072
OpenAlexW4224287465

What OpenQuestion holds

Textmetadata
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.