Evidence map›Paper›PMID 41986791›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Enhanced accuracy of cardiac

Nasir Gözlügöl, Foroud Aghapour Zangeneh, Hasan Sari, Wolfram A Bosbach, Konstantinos Zeimpekis, Axel Rominger, Christoph Gräni, Federico Caobelli

Abstract readComparative StudyValidation Study
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Image quality and lesion detectability in simulated [European journal of nuclear medicine and molecular imaging · 2026
    Article
  2. 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

8 authors.

Nasir Gözlügöl *Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.
Foroud Aghapour Zangeneh *Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.
Hasan SariDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.
Wolfram A BosbachDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.
Konstantinos ZeimpekisDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.
Axel RomingerDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.
Christoph GräniDepartment of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Federico CaobelliDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland. federico.caobelli@unibe.ch.ORCID http://orcid.org/0000-0003-2472-775X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLeft ventricular (LV) ejection fraction (EF) and volumes derived from ECG-gated 82Rb PET are clinically relevant, but their assessment can be impaired due to limited temporal sampling and low count statistics. Long axial field-of-view (LAFOV) PET/CT systems provide substantially higher temporal resolution compared to standard, analog PET systems, which allows to yield higher sensitivity without the need for increasing tracer activity. We aimed to evaluate, whether increasing ECG gating from 8 to 16 frames on 82Rb LAFOV PET improves the accuracy of LV functional parameters. To that end, we used transthoracic echocardiography (TTE) as reference of standard. MATERIALS AND

methodsWe retrospectively included 124 consecutive patients undergoing clinically indicated rest–stress 82Rb PET/CT on a LAFOV system. All patients received 370 MBq 82Rb for both rest and stress acquisitions. Rest images were reconstructed using both 8- and 16-gated frames. PET-derived LVEF, end-diastolic volume (EDV), and end-systolic volume (ESV) were compared with TTE values obtained within a median of 26 days. Agreement was assessed using Wilcoxon test, Pearson correlation, and Bland–Altman analysis.

resultsMean rest LVEF was 52.3 ± 15.5% with 8-gated PET, 58.1 ± 13.5% with 16-gated PET, and 57.7 ± 9.7% on TTE. LVEF derived from 16-gated PET showed no significant difference compared with TTE (p = 0.24), with fair correlation (r = 0.58) and minimal bias (+ 1.13%). In contrast, 8-gated PET significantly underestimated LVEF compared with TTE (mean bias − 5.49%, p < 0.001; r = 0.38), particularly at lower LVEF values. EDV was comparable between 8- and 16-gated PET but showed modest overestimation versus TTE for both reconstructions. For ESV, 8-gated PET significantly overestimated values compared with TTE (p = 0.002), whereas 16-gated PET showed improved agreement with no statistically significant difference (p = 0.085).

conclusionOn LAFOV PET/CT, increasing temporal resolution from 8 to 16 ECG-gated frames significantly improves the accuracy of LV functional assessment, particularly for ESV and LVEF, yielding close agreement with TTE. These improvements were achieved using low 82Rb activities, supporting the routine clinical implementation of 16-gated protocols on LAFOV systems to enhance functional cardiac assessment without increasing radiation burden.

Indexed as

Cardiac-Gated Imaging TechniquesEchocardiographyHeartPositron Emission Tomography Computed TomographyRubidium RadioisotopesAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesStroke VolumeRubidium-82Rubidium Radioisotopes16-gates PET protocol82Rb-PET/CTCardiac imagingCoronary artery diseaseLAFOV PET

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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.