Evidence map›Paper›PMID 25112398›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2015

Targeting post-infarct inflammation by PET imaging: comparison of (68)Ga-citrate and (68)Ga-DOTATATE with (18)F-FDG in a mouse model.

James T Thackeray, Jens P Bankstahl, Yong Wang, Mortimer Korf-Klingebiel, Almut Walte, Alexander Wittneben, Kai C Wollert, Frank M Bengel

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

36 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Imaging Inflammation Past, Present, and Future: Focus on Cardioimmunology.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
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  8. Prototype device for endoventricular beta-emitting radiotracer detection and molecularly-guided intervention.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  9. Fully Automated Macro- and Microfluidic Production of [Molecules (Basel, Switzerland) · 2022
    Article
  10. Review
  11. Dissecting the target leukocyte subpopulations of clinically relevant inflammation radiopharmaceuticals.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Accuracy of cardiac functional parameters measured from gated radionuclide myocardial perfusion imaging in mice.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  18. International journal of molecular sciences · 2020
    Article
  19. Research Progress of [Molecular imaging and biology · 2020
    Review
  20. PET imaging of macrophages in cardiovascular diseases.American journal of translational research · 2020
    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

8 authors at 1 institution in 1 country.

James T ThackerayDepartment of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Jens P Bankstahl
Yong Wang
Mortimer Korf-Klingebiel
Almut Walte
Alexander Wittneben
Kai C Wollert
Frank M Bengel
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledImaging of inflammation early after myocardial infarction (MI) is a promising approach to the guidance of novel molecular interventions that support endogenous healing processes. (18)F-FDG PET has been used, but may be complicated by physiological myocyte uptake. We evaluated the potential of two alternative imaging targets: lactoferrin binding by (68)Ga-citrate and somatostatin receptor binding by (68)Ga-DOTATATE.

methodsC57Bl/6 mice underwent permanent coronary artery ligation. Serial PET imaging was performed 3 - 7 days after MI using (68)Ga-citrate, (68)Ga-DOTATATE, or (18)F-FDG with ketamine/xylazine suppression of myocyte glucose uptake. Myocardial perfusion was evaluated by (13)N-ammonia PET and cardiac geometry by contrast-enhanced ECG-gated CT.

resultsMice exhibited a perfusion defect of 30 - 40% (of the total left ventricle) with apical anterolateral wall akinesia and thinning on day 7 after MI. (18)F-FDG with ketamine/xylazine suppression demonstrated distinct uptake in the infarct region, as well as in the border zone and remote myocardium. The myocardial standardized uptake value in MI mice was significantly higher than in healthy mice under ketamine/xylazine anaesthesia (1.9 ± 0.4 vs. 1.0 ± 0.1). (68)Ga images exhibited high blood pool activity with no specific myocardial uptake up to 90 min after injection (tissue-to-blood contrast 0.9). (68)Ga-DOTATATE was rapidly cleared from the blood, but myocardial SUV was very low (0.10 ± 0.03).

conclusionNeither (68)Ga nor (68)Ga-DOTATATE is a useful alternative to (18)F-FDG for PET imaging of myocardial inflammation after MI in mice. Among the three tested approaches, (18)F-FDG with ketamine/xylazine suppression of cardiomyocyte uptake remains the most practical imaging marker of post-infarct inflammation.

Indexed as

AnimalsCitratesFluorodeoxyglucose F18GalliumInflammationMetabolic Clearance RateMiceMice, Inbred C57BLMyocardial InfarctionMyocardial Perfusion ImagingOrganometallic CompoundsPositron-Emission TomographyRadiopharmaceuticalsCitratesFluorodeoxyglucose F18Galliumgallium citrategallium Ga 68 dotatateOrganometallic CompoundsRadiopharmaceuticals

Identifiers

PMID25112398
OpenAlexW2049098462

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.