Evidence map›Paper›PMID 17033848›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2007

Quantification of FDG PET studies using standardised uptake values in multi-centre trials: effects of image reconstruction, resolution and ROI definition parameters.

Marinke Westerterp, Jan Pruim, Wim Oyen, Otto Hoekstra, Anne Paans, Eric Visser, Jan van Lanschot, Gerrit Sloof, Ronald Boellaard

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 4 pooled it
–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

103 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Effect of blood glucose level on standardized uptake value (SUV) inEuropean journal of nuclear medicine and molecular imaging · 2019
    Pooled it
  2. Pooled it
  3. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0.European journal of nuclear medicine and molecular imaging · 2015
    Guideline
  4. Guideline
  5. Trial
  6. Trial
  7. Comparative analysis ofEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  8. Predictive value ofAnnals of nuclear medicine · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Mitigating SUV uncertainties using total body PET imaging.European journal of nuclear medicine and molecular imaging · 2024
    Article
  13. Article
  14. Predictive value ofJournal of cancer research and clinical oncology · 2023
    Article
  15. The added value ofAbdominal radiology (New York) · 2023
    Article
  16. Article
  17. Hot spot imaging in cardiovascular diseases: an information statement from SNMMI, ASNC, and EANM.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  18. Estimating normal metabolic activity for disease quantification via PET/CT images.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  19. Article
  20. Article

43 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.

Marinke WesterterpDepartment of Surgery, Academic Medical Center, Amsterdam, The Netherlands.
Jan Pruim
Wim Oyen
Otto Hoekstra
Anne Paans
Eric Visser
Jan van Lanschot
Gerrit Sloof
Ronald Boellaard

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStandardised uptake values (SUVs) depend on acquisition, reconstruction and region of interest (ROI) parameters. SUV quantification in multi-centre trials therefore requires standardisation of acquisition and analysis protocols. However, standardisation is difficult owing to the use of different scanners, image reconstruction and data analysis software. In this study we evaluated whether SUVs, obtained at three different institutes, may be directly compared after calibration and correction for inter-institute differences.

methodsFirst, an anthropomorphic thorax phantom containing variously sized spheres and activities, simulating tumours, was scanned and processed in each institute to evaluate differences in scanner calibration. Secondly, effects of image reconstruction and ROI method on recovery coefficients were studied. Next, SUVs were derived for tumours in 23 subjects. Of these 23 patients, four and ten were scanned in two institutes on an HR+ PET scanner and nine were scanned in one institute on an ECAT EXACT PET scanner. All phantom and clinical data were reconstructed using iterative reconstruction with various iterations, with both measured (MAC) and segmented attenuation correction (SAC) and at various image resolutions. Activity concentrations (AC) or SUVs were derived using various ROI isocontours.

resultsPhantom data revealed differences in SUV quantification of up to 30%. After application-specific calibration, recovery coefficients obtained in each institute were equal to within 15%. Varying the ROI isocontour value resulted in a predictable change in SUV (or AC) for both phantom and clinical data. Variation of image resolution resulted in a predictable change in SUV quantification for large spheres/tumours (>5 cc) only. For smaller tumours (<2 cc), differences of up to 40% were found between high (7 mm) and low (10 mm) resolution images. Similar differences occurred when data were reconstructed with a small number of iterations. Finally, no significant differences between MAC and SAC reconstructed data were observed, except for tumours near the diaphragm.

conclusionStandardisation of acquisition, reconstruction and ROI methods is preferred for SUV quantification in multi-centre trials. Small unavoidable differences in methodology can be accommodated by performing a phantom study to assess inter-institute correction factors.

Indexed as

AlgorithmsFluorodeoxyglucose F18HumansImage EnhancementImage Interpretation, Computer-AssistedMulticenter Studies as TopicNetherlandsPositron-Emission TomographyRadiopharmaceuticalsReference StandardsReproducibility of ResultsSensitivity and SpecificityFluorodeoxyglucose F18Radiopharmaceuticals

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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.