Evidence map›Paper›PMID 33093499›Full record

ArticleScientific reports2020

3D reconstruction of coronary artery bifurcations from coronary angiography and optical coherence tomography: feasibility, validation, and reproducibility.

Wei Wu, Saurabhi Samant, Gijs de Zwart, Shijia Zhao, Behram Khan, Mansoor Ahmad, Marco Bologna, Yusuke Watanabe, Yoshinobu Murasato, Francesco Burzotta and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Proximal optimisation technique versus final kissing balloon inflation in coronary bifurcation lesions: the randomised, multicentre PROPOT trial.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021
    Trial
  3. Review
  4. Article
  5. Precision percutaneous coronary intervention.NPJ cardiovascular health · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

18 authors at 12 institutions in 6 countries.

Wei WuCardiovasclar Biology and Biomechanics Laboratory, Cardiovascular Division, University of Nebraska Medical Center, Omaha, 68105, USA.
Saurabhi SamantCardiovasclar Biology and Biomechanics Laboratory, Cardiovascular Division, University of Nebraska Medical Center, Omaha, 68105, USA.
Gijs de ZwartStudioGijs, Daendelsstraat 40, 5018 ES, Tilburg, The Netherlands.
Shijia ZhaoCardiovasclar Biology and Biomechanics Laboratory, Cardiovascular Division, University of Nebraska Medical Center, Omaha, 68105, USA.
Behram KhanCardiovasclar Biology and Biomechanics Laboratory, Cardiovascular Division, University of Nebraska Medical Center, Omaha, 68105, USA.
Mansoor AhmadCardiovasclar Biology and Biomechanics Laboratory, Cardiovascular Division, University of Nebraska Medical Center, Omaha, 68105, USA.
Marco BolognaBiosignals, Bioimaging and Bioinformatics Laboratory (B3-Lab), Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133, Milan, Italy.
Yusuke WatanabeDepartment of Cardiology, Teikyo University Hospital, Tokyo, 173-0003, Japan.
Yoshinobu MurasatoDepartment of Cardiology, National Hospital Organization Kyushu Medical Center, Fukuoka, 810-0065, Japan.
Francesco BurzottaDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS Università Cattolica del Sacro Cuore, 00168, Rome, Italy.
Emmanouil S BrilakisMinneapolis Heart Institute, Minneapolis, 55407, USA.
George DangasDepartment of Cardiovascular Medicine, Mount Sinai Hospital, New York City, 10029, USA.
Yves LouvardInstitut Cardiovasculaire Paris Sud, 91300, Massy, France.
Goran StankovicDepartment of Cardiology, Clinical Center of Serbia, 11000, Belgrade, Serbia.
Ghassan S KassabCalifornia Medical Innovation Institute, San Diego, CA, 92121, USA.
Francesco MigliavaccaLaboratory of Biological Structure Mechanics (LaBS), Department of Chemistry, Materials and Chemical Engineering "Giulio Natta, Politecnico di Milano, 20133, Milan, Italy.
Claudio ChiastraPoliToBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129, Turin, Italy.
Yiannis S ChatzizisisCardiovasclar Biology and Biomechanics Laboratory, Cardiovascular Division, University of Nebraska Medical Center, Omaha, 68105, USA. ychatzizisis@icloud.com.
University of Nebraska Medical Center · USPolitecnico di Milano · ITCalifornia Medical Innovations Institute · USCentar za Promociju Nauke · RSInstitut Cardiovasculaire Paris Sud · FRMinneapolis Heart Institute Foundation · USMount Sinai Hospital · USNational Kyushu Medical Center · JPPolytechnic University of Turin · ITTeikyo University Hospital · JPTilburg University · NLUniversità Cattolica del Sacro Cuore · IT

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 HL144690NIH HHS R01 HL144690
6 · The paper itself

Abstract

The three-dimensional (3D) representation of the bifurcation anatomy and disease burden is essential for better understanding of the anatomical complexity of bifurcation disease and planning of stenting strategies. We propose a novel methodology for 3D reconstruction of coronary artery bifurcations based on the integration of angiography, which provides the backbone of the bifurcation, with optical coherence tomography (OCT), which provides the vessel shape. Our methodology introduces several technical novelties to tackle the OCT frame misalignment, correct positioning of the OCT frames at the carina, lumen surface reconstruction, and merging of bifurcation lumens. The accuracy and reproducibility of the methodology were tested in n = 5 patient-specific silicone bifurcations compared to contrast-enhanced micro-computed tomography (µCT), which was used as reference. The feasibility and time-efficiency of the method were explored in n = 7 diseased patient bifurcations of varying anatomical complexity. The OCT-based reconstructed bifurcation models were found to have remarkably high agreement compared to the µCT reference models, yielding r

Indexed as

Contrast MediaCoronary AngiographyCoronary Artery DiseaseCoronary VesselsDecision MakingFeasibility StudiesHumansImaging, Three-DimensionalModels, AnatomicPlaque, AtheroscleroticReproducibility of ResultsStentsTomography, Optical CoherenceContrast Media

Identifiers

PMID33093499
PMCPMC7582159
OpenAlexW3094021879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.