Evidence map›Paper›PMID 39260958›Full record

ReviewJACC. Cardiovascular interventions2024

Emerging Hybrid Intracoronary Imaging Technologies and Their Applications in Clinical Practice and Research.

Vincenzo Tufaro, Farouc A Jaffer, Patrick W Serruys, Yoshinobu Onuma, Antonius F W van der Steen, Gregg W Stone, James E Muller, Laura Marcu, Gijs Van Soest, Brian K Courtney and 2 more

Abstract readReview
In one paragraph

Review in JACC. Cardiovascular interventions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  17. Article
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  19. CVIT 2025 clinical expert consensus document on intravascular ultrasound.Cardiovascular intervention and therapeutics · 2025
    Review
  20. 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

12 authors.

Vincenzo TufaroDepartment of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele-Milan, Italy.
Farouc A JafferDivision of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Patrick W SerruysDepartment of Cardiology, University of Galway, Galway, Ireland.
Yoshinobu OnumaDepartment of Cardiology, University of Galway, Galway, Ireland.
Antonius F W van der SteenDepartment of Cardiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Gregg W StoneDepartment of Cardiology, The Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai, New York, New York, USA.
James E MullerBrigham and Women's Hospital, Division of Cardiovascular Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Laura MarcuDepartment of Biomedical Engineering, University of California, Davis, California, USA.
Gijs Van SoestDepartment of Cardiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Brian K CourtneySunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada; Conavi Medical Inc, Toronto, Ontario, Canada.
Guillermo J TearneyWellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard-MIT Health Sciences and Technology, Cambridge, Massachusetts, USA.
Christos V BourantasDepartment of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom; Institute of Cardiovascular Sciences, University College London, London, United Kingdom. Electronic address: cbourantas@gmail.com.

Funding

TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)P41EB032840 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Griffith R. Harsh, Laura Marcu · 2022 to 2026
$6.7M
Dual-modality FLIm and PSOCT for intravascular imaging of plaque in patientsR01HL157712 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BOUMA, BRETT E, MARCU, LAURA · 2021 to 2025
$3.4M
NHLBI NIH HHS R01 HL157712NIBIB NIH HHS P41 EB032840
6 · The paper itself

Abstract

Intravascular ultrasound and optical coherence tomography are used with increasing frequency for the care of coronary patients and in research studies. These imaging tools can identify culprit lesions in acute coronary syndromes, assess coronary stenosis severity, guide percutaneous coronary intervention (PCI), and detect vulnerable plaques and patients. However, they have significant limitations that have stimulated the development of multimodality intracoronary imaging catheters, which provide improvements in assessing vessel wall pathology and guiding PCI. Prototypes combining 2 or even 3 imaging probes with complementary attributes have been developed, and several multimodality systems have already been used in patients, with near-infrared spectroscopy intravascular ultrasound-based studies showing promising results for the identification of high-risk plaques. Moreover, postmortem histology studies have documented that hybrid imaging catheters can enable more accurate characterization of plaque morphology than standalone imaging. This review describes the evolution in the field of hybrid intracoronary imaging; presents the available multimodality catheters; and discusses their potential role in PCI guidance, vulnerable plaque detection, and the assessment of endovascular devices and emerging pharmacotherapies targeting atherosclerosis.

Indexed as

Coronary Artery DiseaseCoronary VesselsMultimodal ImagingPercutaneous Coronary InterventionPlaque, AtheroscleroticPredictive Value of TestsTomography, Optical CoherenceUltrasonography, InterventionalAnimalsCardiac CatheterizationCardiac CathetersDiffusion of InnovationEquipment DesignHumansSpectroscopy, Near-Infraredhybrid intravascular imagingintravascular ultrasoundnear-infrared fluorescencenear-infrared spectroscopyoptical coherence tomography

Identifiers

PMID39260958
PMCPMC11996234

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.