Evidence map›Paper›PMID 40045877›Full record

ArticleCatheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions2025

Image-Derived Modeling to Assess Coronary Proximity in Patients Undergoing Transcatheter Pulmonary Valve Replacement With Self-Expanding Valves.

Yuval Barak-Corren, Vladislav Obsekov, Mudit Gupta, Christian Herz, Silvani Amin, Andras Lasso, Michael L O'Byrne, Matthew J Gillespie, Matthew A Jolley

Abstract read
In one paragraph

Article in Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

The trial behind it

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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

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuval Barak-CorrenDepartment of Pediatrics, Division of Pediatric Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Vladislav ObsekovDivision of Pediatric Cardiology, The Mount Sinai Hospital, New York, New York, USA.
Mudit GuptaDepartment of Pediatrics, Division of Pediatric Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-8155-5897
Christian HerzDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Silvani AminDepartment of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Andras LassoLaboratory for Percutaneous Surgery, Queen's University, Kingston, Ontario, CA.
Michael L O'ByrneDepartment of Pediatrics, Division of Pediatric Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-6023-1634
Matthew J GillespieDepartment of Pediatrics, Division of Pediatric Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Matthew A JolleyDepartment of Pediatrics, Division of Pediatric Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 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 HL153166
6 · The paper itself

Abstract

backgroundThe potential for coronary artery compression (CC) during transcatheter pulmonary valve replacement (TPVR) using self-expanding valves (SEV) is not fully understood, yet anecdotal reports suggest that this risk exists. AIMS AND

methodsWe performed a retrospective cohort study of patients evaluated for SEV-TPVR to evaluate the relationship between the right ventricular outflow tract (RVOT) and coronary arteries (CA). CT-derived segmentations of the RVOT and CA were created using machine learning. A 2D map of the distance between the RVOT surface and CA, in systole and diastole, was created. In the subset of patients with post-procedural CTA, the distance before and after TPVR was measured.

resultsForty-two individuals underwent screening for SEV-TPVR, of which 83% (n = 35) had SEV implanted (Harmony = 24; Alterra = 11). Median age was 22.9 years (range 12-60) and 76% had tetralogy of Fallot (TOF). There was no significant change in the distance between the RVOT and LCA between diastole and systole (p = 0.31), yet the RVOT area nearest to the LCA displaced proximally by 11 mm (IQR: 5.6-19.9) in systole. In 8 patients with pre- and post-TPVR CTA, no statistically significant differences were observed in the RVOT-to-LCA relation after intervention. The distance to the LCA was smaller in pulmonary stenosis/atresia patients than those with TOF (median distance 1.2 and 2.1 mm, respectively; p = 0.185).

conclusionThe RVOT area in closest proximity to LCA is dynamic and should be considered when planning TPVR. Special attention should be given to patients with a diagnosis of pulmonary stenosis/atresia.

Indexed as

Cardiac CatheterizationComputed Tomography AngiographyCoronary AngiographyCoronary VesselsHeart Valve ProsthesisHeart Valve Prosthesis ImplantationMultidetector Computed TomographyPatient-Specific ModelingPulmonary ValveRadiographic Image Interpretation, Computer-AssistedAdolescentAdultChildFemaleHemodynamicsHumans3D modelingcoronary artery compression (CC)machine learningself‐expanding valves (SEV)transcatheter pulmonary valve replacement (TPVR)

Identifiers

PMID40045877
PMCPMC12058398

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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.