Evidence map›Paper›PMID 26280981›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2016

Impact of PET/CT image reconstruction methods and liver uptake normalization strategies on quantitative image analysis.

Georg Kuhnert, Ronald Boellaard, Sergej Sterzer, Deniz Kahraman, Matthias Scheffler, Jürgen Wolf, Markus Dietlein, Alexander Drzezga, Carsten Kobe

Erratum issuedAbstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  8. Moving the goalposts while scoring-the dilemma posed by new PET technologies.European journal of nuclear medicine and molecular imaging · 2021
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  12. Article
  13. Time to Prepare for Risk Adaptation in Lymphoma by Standardizing Measurement of Metabolic Tumor Burden.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  14. Test-Retest Reproducibility ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  15. Review
  16. Article
  17. Metabolic Tumour Volume for Response Prediction in Advanced-Stage Hodgkin Lymphoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2018
    Article
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Georg KuhnertDepartment of Nuclear Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Ronald BoellaardDepartment of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, The Netherlands.
Sergej SterzerDepartment of Nuclear Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Deniz KahramanDepartment of Nuclear Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Matthias SchefflerLung Cancer Group Cologne, Department I of Internal Medicine, Center for Integrated Oncology Cologne Bonn, University Hospital of Cologne, Cologne, Germany.
Jürgen WolfLung Cancer Group Cologne, Department I of Internal Medicine, Center for Integrated Oncology Cologne Bonn, University Hospital of Cologne, Cologne, Germany.
Markus DietleinDepartment of Nuclear Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Alexander DrzezgaDepartment of Nuclear Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Carsten KobeDepartment of Nuclear Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany. carsten.kobe@uk-koeln.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn oncological imaging using PET/CT, the standardized uptake value has become the most common parameter used to measure tracer accumulation. The aim of this analysis was to evaluate ultra high definition (UHD) and ordered subset expectation maximization (OSEM) PET/CT reconstructions for their potential impact on quantification. PATIENTS AND

methodsWe analyzed 40 PET/CT scans of lung cancer patients who had undergone PET/CT. Standardized uptake values corrected for body weight (SUV) and lean body mass (SUL) were determined in the single hottest lesion in the lung and normalized to the liver for UHD and OSEM reconstruction. Quantitative uptake values and their normalized ratios for the two reconstruction settings were compared using the Wilcoxon test. The distribution of quantitative uptake values and their ratios in relation to the reconstruction method used were demonstrated in the form of frequency distribution curves, box-plots and scatter plots. The agreement between OSEM and UHD reconstructions was assessed through Bland-Altman analysis.

resultsA significant difference was observed after OSEM and UHD reconstruction for SUV and SUL data tested (p < 0.0005 in all cases). The mean values of the ratios after OSEM and UHD reconstruction showed equally significant differences (p < 0.0005 in all cases). Bland-Altman analysis showed that the SUV and SUL and their normalized values were, on average, up to 60 % higher after UHD reconstruction as compared to OSEM reconstruction.

conclusionOSEM and HD reconstruction brought a significant difference for SUV and SUL, which remained constantly high after normalization to the liver, indicating that standardization of reconstruction and the use of comparable SUV measurements are crucial when using PET/CT.

Indexed as

Multimodal ImagingPositron-Emission TomographyTomography, X-Ray ComputedFemaleHumansImage Processing, Computer-AssistedLiverLung NeoplasmsMaleRadiopharmaceuticalsReference ValuesRadiopharmaceuticalsLung cancerPETQuantificationSUV

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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.