Evidence map›Paper›PMID 36911812›Full record

ArticleJournal of 3D printing in medicine2023

Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis.

Ashar Asif, Andrew Iu Shearn, Mark S Turner, Maria V Ordoñez, Froso Sophocleous, Ana Mendez-Santos, Israel Valverde, Gianni D Angelini, Massimo Caputo, Mark Ck Hamilton and 1 more

Abstract read
In one paragraph

Article in Journal of 3D printing in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Ashar AsifBristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.ORCID https://orcid.org/0000-0002-9361-1083
Andrew Iu ShearnBristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.
Mark S TurnerBristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.
Maria V OrdoñezBristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.
Froso SophocleousBristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.ORCID https://orcid.org/0000-0001-8142-8452
Ana Mendez-SantosPediatric Cardiology Unit, Hospital Virgen del Rocio and Institute of Biomedicine of Seville (IBIS), Seville, E-41013, Spain.
Israel ValverdePediatric Cardiology Unit, Hospital Virgen del Rocio and Institute of Biomedicine of Seville (IBIS), Seville, E-41013, Spain.ORCID https://orcid.org/0000-0001-5661-9900
Gianni D AngeliniBristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.ORCID https://orcid.org/0000-0002-1753-3730
Massimo CaputoBristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.ORCID https://orcid.org/0000-0001-7508-0891
Mark Ck HamiltonDepartment of Clinical Radiology, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.ORCID https://orcid.org/0000-0003-3469-3450
Giovanni BiglinoBristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.ORCID https://orcid.org/0000-0003-0413-149X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-infarct ventricular septal defect (PIVSD) is a serious complication of myocardial infarction. We evaluated 3D-printing models in PIVSD clinical assessment and the feasibility of statistical shape modeling for morphological analysis of the defects. Methods: Models (n = 15) reconstructed from computed tomography data were evaluated by clinicians (n = 8). Statistical shape modeling was performed on 3D meshes to calculate the mean morphological configuration of the defects. Results: Clinicians' evaluation highlighted the models' utility in displaying defects for interventional/surgical planning, education/training and device development. However, models lack dynamic representation. Morphological analysis was feasible and revealed oval-shaped (n = 12) and complex channel-like (n = 3) defects. Conclusion: 3D-PIVSD models can complement imaging data for teaching and procedural planning. Statistical shape modeling is feasible in this scenario.

Indexed as

3D printingmyocardial infarctionstatistical shape modelingventricular septal defect

Identifiers

PMID36911812
PMCPMC9990116

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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.