Evidence map›Paper›PMID 38383743›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

FDG imaging with long-axial field-of-view PET/CT in patients with high blood glucose-a matched pair analysis.

Clemens Mingels, Luis Weissenrieder, Konstantinos Zeimpekis, Hasan Sari, Lorenzo Nardo, Federico Caobelli, Ian Alberts, Axel Rominger, Thomas Pyka

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Lesion conspicuity by size in [EJNMMI research · 2026
    Article
  3. Lymphoma Therapy Response Assessment with Low-Dose [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  4. Diagnostic accuracy in NSCLC lymph node staging with Total-Body and conventional PET/CT.European journal of nuclear medicine and molecular imaging · 2025
    Article
  5. Expert consensus on workflow of PET/CT with long axial field-of-view.European journal of nuclear medicine and molecular imaging · 2025
    Review
  6. Role of Total Body PET/CT in Inflammatory Disorders.Seminars in nuclear medicine · 2025
    Review
  7. Total Body PET/CT: Future Aspects.Seminars in nuclear medicine · 2025
    Review
  8. Article
  9. Review
  10. Expanding the long-axial field-of-view PET-CT horizons: unveiling new arrows in our quiver.European journal of nuclear medicine and molecular imaging · 2024
    Article
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.

Clemens MingelsDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Freiburgstr. 18, 3010, Bern, Switzerland. clemens.mingels@insel.ch.ORCID 0000-0001-6761-5323
Luis WeissenriederDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Freiburgstr. 18, 3010, Bern, Switzerland.
Konstantinos ZeimpekisDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Freiburgstr. 18, 3010, Bern, Switzerland.
Hasan SariDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Freiburgstr. 18, 3010, Bern, Switzerland.
Lorenzo NardoDepartment of Radiology, University of California Davis, Sacramento, CA, USA.
Federico CaobelliDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Freiburgstr. 18, 3010, Bern, Switzerland.
Ian AlbertsMolecular Imaging and Therapy, BC Cancer Agency, Vancouver, BC, Canada.
Axel RomingerDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Freiburgstr. 18, 3010, Bern, Switzerland.
Thomas PykaDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Freiburgstr. 18, 3010, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHigh blood glucose (hBG) in patients undergoing [ MATERIALS AND

methodsOncologic patients with elevated blood glucose (≥ 8.0 mmol/l) and normal blood glucose (< 8.0 mmol/l, nBG) levels were matched for tumor entity, gender, age, and BMI. hBG patients were further subdivided into two groups (BG 8-11 mmol/l and BG > 11 mmol/l). Tracer uptake in the liver, muscle, and tumor was evaluated. Furthermore, image quality was compared between long acquisitions (ultra-high sensitivity mode, 360 s) on a LAFOV PET/CT and routine acquisitions equivalent to a short-axial field-of-view scanner (simulated (sSAFOV), obtained with high sensitivity mode, 120 s). Tumor-to-background ratio (TBR) and contrast-to-noise ratio (CNR) were used as the main image quality criteria.

resultsThirty-one hBG patients met the inclusion criteria and were matched with 31 nBG patients. Overall, liver uptake was significantly higher in hBG patients (SUV

conclusionWhile elevated blood glucose (> 11 mmol) negatively affected TBR and CNR in our cohort, the images from a LAFOV PET-scanner had comparable CNR to PET-images acquired from nBG patients using sSAFOV PET/CT. Therefore, we argue that oncologic patients with increased blood sugar levels might be imaged safely with LAFOV PET/CT when rescheduling is not feasible.

Indexed as

Blood GlucoseFluorodeoxyglucose F18Positron Emission Tomography Computed TomographyAdultAgedFemaleHumansMaleMatched-Pair AnalysisMiddle AgedNeoplasmsRadiopharmaceuticalsBlood GlucoseFluorodeoxyglucose F18RadiopharmaceuticalsContrast-to-noise ratioHigh blood glucoseImage qualityLAFOV PET/CTWhole-body PET/CT

Identifiers

PMID38383743
PMCPMC11139721

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.