Evidence map›Paper›PMID 42257825›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Development and feasibility testing of a dynamic image-derived simulation framework for assessing left atrioventricular valve repair strategies.

Stephen Ching, Christopher Zelonis, Christian Herz, Patricia Sabin, Matthew Daemer, Muhammad Nuri, Yan Wang, Devin W Laurence, Jonathan M Chen, Lindsay S Rogers and 5 more

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Stephen ChingDepartment of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.
Christopher ZelonisDepartment of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.
Christian HerzDepartment of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.
Patricia SabinDepartment of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.
Matthew DaemerDepartment of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.
Muhammad NuriDivision of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Yan WangDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Devin W LaurenceDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jonathan M ChenDivision of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Lindsay S RogersDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Michael D QuartermainDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
John MooreArchetype Medical Inc., London, ON, Canada.
Terry PetersRobarts Research Institute, Western University, London, ON, Canada.
Elvis ChenRobarts Research Institute, Western University, London, ON, Canada.
Matthew A JolleyDepartment of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA. jolleym@chop.edu.ORCID http://orcid.org/0000-0002-5626-0130

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 HL153166NHLBI NIH HHS R01HL153166
6 · The paper itself

Abstract

purposeTo establish a proof-of-concept for a dynamic, image-derived patient-specific physical simulation platform designed to aid in the assessment of left atrioventricular valve (LAVV) repair strategies in pediatric patients with repaired atrioventricular canal defects.

methodsThree-dimensional transesophageal echocardiographic images of two patients with regurgitant LAVVs were processed using custom code in SlicerHeart to segment leaflets, define the annulus, and generate patient-specific valve molds. Silicone valve models were fabricated and tested in a pulse duplicator under simulated physiological conditions. Five unrepaired valves were analyzed for manufacturing consistency, and multiple surgical repair techniques were compared for two patient-specific models.

resultsManufacturing variability was low in annular metrics but higher in leaflet closure metrics. Simulated valves demonstrated altered leaflet closure geometry relative to clinical imaging due to the passive nature of the simulator and the increased stiffness of silicone-gauze composite leaflets. In Patient 1, cleft closure and an Alfieri stitch both eliminated the regurgitant orifice area, but the Alfieri stitch resulted in elevated mean pressure gradient (17 mmHg vs. 4-9 mmHg for other repairs) and deteriorated with repeated loading. In Patient 2, no simulated repair eliminated regurgitation entirely; however, combining leaflet patch augmentation with commissuroplasty reduced regurgitant area to 0.147 cm

conclusionThis study demonstrates the feasibility of a dynamic physical simulation platform for preclinical LAVV repair evaluation. Although the absence of annular motion, papillary displacement, and physiologic contraction limits reproduction of in vivo leaflet dynamics, this proof-of-concept highlights the platform's value for qualitative assessment of repair options in congenital heart disease.

Indexed as

3D printingComplete atrioventricular canalCongenitalPatient-specific modelingSimulationValve repair

Identifiers

PMID42257825
PMCPMC13455558

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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.