Evidence map›Paper›PMID 26971006›Full record

ArticleJACC. Cardiovascular imaging2016

Clinical Characterization of Coronary Atherosclerosis With Dual-Modality OCT and Near-Infrared Autofluorescence Imaging.

Giovanni J Ughi, Hao Wang, Edouard Gerbaud, Joseph A Gardecki, Ali M Fard, Ehsan Hamidi, Paulino Vacas-Jacques, Mireille Rosenberg, Farouc A Jaffer, Guillermo J Tearney

Open access · greenAbstract read
In one paragraph

Article in JACC. Cardiovascular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 2 pooled it
22.9field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 178 citations in OpenAlex.

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27 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Giovanni J UghiWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.
Hao WangWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.
Edouard GerbaudWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.
Joseph A GardeckiWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.
Ali M FardWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.
Ehsan HamidiWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.
Paulino Vacas-JacquesWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.
Mireille RosenbergWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.
Farouc A JafferWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts; Cardiovascular Research Center and Cardiology Division, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts. Electronic address: fjaffer@mgh.harvard.edu.
Guillermo J TearneyWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts; Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Harvard-MIT Health Sciences and Technology, Boston, Massachusetts. Electronic address: gtearney@partners.org.
Harvard University · US

Funding

Chemical analysis of coronary atherosclerosis in patientsR01HL093717 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI TEARNEY, GUILLERMO J · 2008 to 2011
$3.3M
NIRF-OFDI of Inflammation in Atheroma Progression and Stent ComplicationsR01HL122388 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI JAFFER, FAROUC AMIN · 2015 to 2018
$2.1M
NHLBI NIH HHS R01 HL093717NHLBI NIH HHS R01 HL122388
6 · The paper itself

Abstract

objectivesThe authors present the clinical imaging of human coronary arteries in vivo using a multimodality optical coherence tomography (OCT) and near-infrared autofluorescence (NIRAF) intravascular imaging system and catheter.

backgroundAlthough intravascular OCT is capable of providing microstructural images of coronary atherosclerotic lesions, it is limited in its capability to ascertain the compositional/molecular features of plaque. A recent study in cadaver coronary plaque showed that endogenous NIRAF is elevated in necrotic core lesions. The combination of these 2 technologies in 1 device may therefore provide synergistic data to aid in the diagnosis of coronary pathology in vivo.

methodsWe developed a dual-modality intravascular imaging system and 2.6-F catheter that can simultaneously acquire OCT and NIRAF data from the same location on the artery wall. This technology was used to obtain volumetric OCT-NIRAF images from 12 patients with coronary artery disease undergoing percutaneous coronary intervention. Images were acquired during a brief, nonocclusive 3- to 4-ml/s contrast purge at a speed of 100 frames/s and a pullback rate of 20 or 40 mm/s. OCT-NIRAF data were analyzed to determine the distribution of the NIRAF signal with respect to OCT-delineated plaque morphological features.

resultsHigh-quality intracoronary OCT and NIRAF image data (>50-mm pullback length) were successfully acquired without complication in all patients (17 coronary arteries). The maximum NIRAF signal intensity of each plaque was compared with OCT-defined type, showing a statistically significant difference between plaque types (1-way analysis of variance, p < 0.0001). Interestingly, coronary arterial NIRAF intensity was elevated only focally in plaques with a high-risk morphological phenotype (p < 0.05), including OCT fibroatheroma, plaque rupture, and fibroatheroma associated with in-stent restenosis.

conclusionsThis OCT-NIRAF study demonstrates that dual-modality microstructural and fluorescence intracoronary imaging can be safely and effectively conducted in human patients. Our findings show that NIRAF is associated with a high-risk morphological plaque phenotype. The focal distribution of NIRAF in these lesions furthermore suggests that this endogenous imaging biomarker may provide complementary information to that obtained by structural imaging alone.

Indexed as

Plaque, AtheroscleroticTomography, Optical CoherenceAgedCoronary AngiographyCoronary Artery DiseaseCoronary RestenosisCoronary VesselsFeasibility StudiesFemaleFibrosisHumansMaleMiddle AgedMultimodal ImagingOptical ImagingPercutaneous Coronary Interventionfirst-in-humanmultimodality imagingnear-infrared fluorescenceoptical coherence tomography

Identifiers

PMID26971006
PMCPMC5010789
OpenAlexW2295404282

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.