Evidence map›Paper›PMID 41549684›Full record

ReviewEuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology2026

Lesion stratification with intracoronary imaging.

Michael McGarvey, Kalpa De Silva, Thomas R Keeble, Thomas W Johnson, Peter O'Kane, Ziad A Ali, Shengxian Tu, Sundeep Kalra, Divaka Perera, Philip MacCarthy and 4 more

Abstract readReview
In one paragraph

Review in EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Michael McGarveyDepartment of Cardiology, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Kalpa De SilvaBHF Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, United Kingdom.
Thomas R KeebleEssex Cardiothoracic Centre, Mid and South Essex NHS Foundation Trust, Basildon, United Kingdom.
Thomas W JohnsonBristol Heart Institute, University Hospitals Bristol NHS FT & University of Bristol, Bristol, United Kingdom.
Peter O'KaneDepartment of Cardiology, University Hospitals of Dorset NHS Foundation Trust, Bournemouth, United Kingdom.
Ziad A AliDepartment of Cardiology, St. Francis Hospital, Roslyn, NY, USA.
Shengxian TuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Sundeep KalraDepartment of Cardiology, Royal Free NHS Foundation Trust, London, United Kingdom.
Divaka PereraBHF Centre of Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, United Kingdom.
Philip MacCarthyDepartment of Cardiology, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Jonathan M HillDepartment of Cardiology, Royal Brompton & Harefield Hospitals, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
Jonathan ByrneDepartment of Cardiology, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Rafal DworakowskiDepartment of Cardiology, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Nilesh PareekDepartment of Cardiology, King's College Hospital NHS Foundation Trust, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracoronary (IC) imaging-guided percutaneous coronary intervention (PCI) improves clinical outcomes in patients with high clinical and anatomical risk when compared to interventions guided by angiography alone. Recent Class I recommendations for the use of IC imaging guidance when performing PCI in left main stem or complex lesions may result in a significant uptake as the technology is embraced as standard of care. Routine application of IC imaging will provide interventional cardiologists with a wealth of high-fidelity intracoronary data on plaque composition and distribution. When paired with emerging data regarding the importance of plaque anatomical characteristics, developments in artificial intelligence and computational fluid dynamics, lesion stratification with IC imaging may herald the next paradigm shift in this field. In this review, we will explore this important emerging application of IC imaging to inform morphology-guided PCI, identify high-risk lesions for targeted therapies, and consider the prospects of harnessing automated image interpretation with artificial intelligence technologies to achieve an integrated physiological and morphological assessment. Lesion stratification with IC imaging has the potential to shape the future of interventional cardiology practice to guide therapies within and beyond the confines of the cardiac catheterisation laboratory.

Indexed as

Coronary AngiographyCoronary Artery DiseaseCoronary VesselsPercutaneous Coronary InterventionArtificial IntelligenceHumansPlaque, Atherosclerotic

Identifiers

PMID41549684
PMCPMC12794935

What OpenQuestion holds

Textmetadata
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.