Evidence map›Paper›PMID 39129795›Full record

ArticleJournal of the Society for Cardiovascular Angiography & Interventions

Radial Wall Strain Assessment From AI-Assisted Angiography: Feasibility and Agreement With OCT as Reference Standard.

Jiayue Huang, Shengxian Tu, Chunming Li, Huihong Hong, Zhiqing Wang, Lianglong Chen, Juan Luis Gutiérrez-Chico, William Wijns

Abstract read
In one paragraph

Article in Journal of the Society for Cardiovascular Angiography & Interventions. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2025
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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.

Jiayue HuangThe Lambe Institute for Translational Medicine, Smart Sensors Laboratory and Curam, University of Galway, Galway, Ireland.
Shengxian TuBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Chunming LiBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Huihong HongDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.
Zhiqing WangDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.
Lianglong ChenDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.
Juan Luis Gutiérrez-ChicoBundeswehrzentralkrankenhaus (Federal Army Central Military Hospital), Koblenz, Germany.
William WijnsThe Lambe Institute for Translational Medicine, Smart Sensors Laboratory and Curam, University of Galway, Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-strain spots in coronary arteries are associated with plaque vulnerability and predict future events. Artificial intelligence currently enables the calculation of radial wall strain (RWS) from coronary angiography (RWS Methods: All lesions from a previous OCT study were enrolled. OCT was automatically coregistered with angiography. RWS Results: Finite element analysis was performed in 578 OCT cross-sections from 45 lesions stemming from 36 patients. RWS Conclusions: Radial wall strain from coronary angiography can be rapidly and easily computed solely from angiography, showing excellent agreement with strain derived from coregistered OCT. This novel and simple method might provide a cost-effective biomechanical assessment in large populations.

Indexed as

coronary angiographycoronary strainfinite element analysisoptical coherence tomography

Identifiers

PMID39129795
PMCPMC11307920

What OpenQuestion holds

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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.