Evidence map›Paper›PMID 37563354›Full record

ArticleScientific reports2023

3D reconstruction of coronary artery bifurcations from intravascular ultrasound and angiography.

Wei Wu, Usama M Oguz, Akshat Banga, Shijia Zhao, Anjani Kumar Thota, Vinay Kumar Gadamidi, Charu Hasini Vasa, Khaled M Harmouch, Abdallah Naser, Xiarepati Tieliwaerdi and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Review
  5. Advancements in Coronary Bifurcation Stenting Techniques: Insights From Computational and Bench Testing Studies.International journal for numerical methods in biomedical engineering · 2025
    Review
  6. Patient-specificFrontiers in cardiovascular medicine · 2024
    Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Wei WuCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Usama M OguzCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Akshat BangaCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Shijia ZhaoCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Anjani Kumar ThotaCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Vinay Kumar GadamidiCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Charu Hasini VasaCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Khaled M HarmouchCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Abdallah NaserCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Xiarepati TieliwaerdiCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Yiannis S ChatzizisisCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA. ychatzizisis@icloud.com.

Funding

Patient-Specific Simulations to Guide Coronary Bifurcation StentingR01HL144690 · NHLBI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CHATZIZISIS, IOANNIS S · 2019 to 2023
$3.9M
NHLBI NIH HHS R01 HL144690
6 · The paper itself

Abstract

Coronary bifurcation lesions represent a challenging anatomical subset, and the understanding of their 3D anatomy and plaque composition appears to play a key role in devising the optimal stenting strategy. This study proposes a new approach for the 3D reconstruction of coronary bifurcations and plaque materials by combining intravascular ultrasound (IVUS) and angiography. Three patient-specific silicone bifurcation models were 3D reconstructed and compared to micro-computed tomography (µCT) as the gold standard to test the accuracy and reproducibility of the proposed methodology. The clinical feasibility of the method was investigated in three diseased patient-specific bifurcations of varying anatomical complexity. The IVUS-based 3D reconstructed bifurcation models showed high agreement with the µCT reference models, with r

Indexed as

Coronary Artery DiseasePlaque, AtheroscleroticCoronary AngiographyCoronary VesselsHumansImaging, Three-DimensionalReproducibility of ResultsUltrasonography, InterventionalX-Ray Microtomography

Identifiers

PMID37563354
PMCPMC10415353

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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.