Evidence map›Paper›PMID 25977567›Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2015

64Cu-DOTATATE PET/MRI for Detection of Activated Macrophages in Carotid Atherosclerotic Plaques: Studies in Patients Undergoing Endarterectomy.

Sune Folke Pedersen, Benjamin Vikjær Sandholt, Sune Høgild Keller, Adam Espe Hansen, Andreas Ettrup Clemmensen, Henrik Sillesen, Liselotte Højgaard, Rasmus Sejersten Ripa, Andreas Kjær

3 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
10.3field-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.

NCT04073797 naunknown statusstarted 2023, after this paper: background citation

PET Imaging of Inflammation and Lipid Lowering Study

Ran2023Enrolled63Registered outcomes5Posted comparisons0ConditionsAtherosclerosis, Carotid Artery Plaque, Hypercholesterolemia, Hypercholesterolemia, FamilialArms68Ga-DOTATATE PET-MRI, Colchicine, Inclisiran
PMID 28385306other papers from this trial
Open the trial in the graph
NCT04071691 unknown statusnot on this mapstarted 2019, after this paper: background citation

The PET Imaging of Giant Cell and Takayasu Arteritis Study

TypeobservationalSponsorUniversity of CambridgeRan2019 to 2025Enrolled27ConditionsGiant Cell Arteritis, Takayasu ArteritisArmsPET-MRI
NCT04073810 unknown statusnot on this mapstarted 2020, after this paper: background citation

Residual Inflammation and Plaque Progression Long-term Evaluation

TypeobservationalSponsorUniversity of CambridgeRan2020 to 2025Enrolled40ConditionsAtherosclerosis, Myocardial Infarction, Coronary Artery Disease, InflammationArmsPET imaging, Coronary CT angiography, Cardiac MRI
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 114 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Detection of Atherosclerotic Inflammation byJournal of the American College of Cardiology · 2017 · on this map
    Trial
  5. Review
  6. Article
  7. From incidental positron emission uptake toFrontiers in cardiovascular medicine · 2026
    Review
  8. Review
  9. Arteriosclerosis, thrombosis, and vascular biology · 2025
    Article
  10. Review
  11. Review
  12. Peptide Receptor Radionuclide Therapy UsingDiagnostics (Basel, Switzerland) · 2024
    Article
  13. Review
  14. Article
  15. Review
  16. Imaging of atherosclerosis with [Scientific reports · 2023
    Article
  17. [Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  18. [Diagnostics (Basel, Switzerland) · 2023
    Article
  19. Review
  20. Radiology · 2022
    Observational

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

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

9 authors at 2 institutions in 1 country.

Sune Folke PedersenFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark. sfolkep@sund.ku.dk.
Benjamin Vikjær SandholtFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Sune Høgild KellerFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Adam Espe HansenFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Andreas Ettrup ClemmensenFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Henrik SillesenFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Liselotte HøjgaardFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Rasmus Sejersten RipaFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Andreas KjærFrom the Department of Clinical Physiology, Nuclear Medicine and PET (S.F.P., A.E.C., L.H., R.S.R., A.K., S.H.K., A.E.H.), Cluster for Molecular Imaging (S.F.P., A.E.C., L.H., R.S.R., A.K.), Department of Vascular Surgery (B.V.S., H.S.), Rigshospitalet and University of Copenhagen, Copenhagen, Denmark.
Copenhagen University Hospital · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA feature of vulnerable atherosclerotic plaques of the carotid artery is high activity and abundance of lesion macrophages. There is consensus that this is of importance for plaque vulnerability, which may lead to clinical events, such as stroke and transient ischemic attack. We used positron emission tomography (PET) and the novel PET ligand [(64)Cu] [1,4,7,10-tetraazacyclododecane-N,N',N″,N‴-tetraacetic acid]-d-Phe1,Tyr3-octreotate ((64)Cu-DOTATATE) to specifically target macrophages via the somatostatin receptor subtype-2 in vivo. APPROACH AND

resultsTen patients underwent simultaneous PET/MRI to measure (64)Cu-DOTATATE uptake in carotid artery plaques before carotid endarterectomy. (64)Cu-DOTATATE uptake was significantly higher in symptomatic plaque versus the contralateral carotid artery (P<0.001). Subsequently, a total of 62 plaque segments were assessed for gene expression of selected markers of plaque vulnerability using real-time quantitative polymerase chain reaction. These results were compared with in vivo (64)Cu-DOTATATE uptake calculated as the mean standardized uptake value. Univariate analysis of real-time quantitative polymerase chain reaction and PET showed that cluster of differentiation 163 (CD163) and CD68 gene expression correlated significantly but weakly with mean standardized uptake value in scans performed 85 minutes post injection (P<0.001 and P=0.015, respectively). Subsequent multivariate analysis showed that CD163 correlated independently with (64)Cu-DOTATATE uptake (P=0.031) whereas CD68 did not contribute significantly to the final model.

conclusionsThe novel PET tracer (64)Cu-DOTATATE accumulates in atherosclerotic plaques of the carotid artery. CD163 gene expression correlated independently with (64)Cu-DOTATATE uptake measured by real-time quantitative polymerase chain reaction in the final multivariate model, indicating that (64)Cu-DOTATATE PET is detecting alternatively activated macrophages. This association could potentially improve noninvasive identification and characterization of vulnerable plaques.

Indexed as

Copper RadioisotopesOrganometallic CompoundsAntigens, CDAntigens, Differentiation, MyelomonocyticCarotid StenosisCD163 AntigenCD68 MoleculeEndarterectomy, CarotidGene ExpressionHumansMacrophagesMagnetic Resonance ImagingOctreotidePositron-Emission TomographyReceptors, Cell Surface64Cu-DOTATATEAntigens, CDAntigens, Differentiation, MyelomonocyticCD163 AntigenCD68 antigen, humanCD68 MoleculeCopper RadioisotopesOctreotideOrganometallic CompoundsReceptors, Cell Surfaceatherosclerosiscarotidendarterectomymagnetic resonance imagingpositron-emission tomography

Identifiers

PMID25977567
PMCPMC4479665
OpenAlexW2160621473

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Registered trials

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.