Evidence map›Paper›PMID 35666316›Full record

ArticleEJNMMI physics2022

Method to determine the statistical technical variability of SUV metrics.

Giulia M R De Luca, Jan B A Habraken

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Quantitative PSMA PET Biomarkers for Predicting Response toJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Pooled it
  2. Review
  3. Article
  4. PSMA PET/CT-Derived Indicators and Outcomes After [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  5. Article
  6. Clinical efficacy ofFrontiers in oncology · 2026
    Article
  7. Article
  8. A low-dose protocol in pediatricAnnals of nuclear medicine · 2025
    Article
  9. Article
  10. Low-activity [EJNMMI physics · 2025
    Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Image Quality and Quantitative PET Parameters of Low-Dose [Diagnostics (Basel, Switzerland) · 2023
    Article
  16. 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

2 authors at 1 institution in 1 country.

Giulia M R De LucaDepartment of Medical Physics, St. Antonius Hospital, Nieuwegein, The Netherlands. g.deluca@antoniusziekenhuis.nl.ORCID http://orcid.org/0000-0002-7485-2914
Jan B A HabrakenDepartment of Medical Physics, St. Antonius Hospital, Nieuwegein, The Netherlands.
St. Antonius Ziekenhuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Standardized Uptake Value (SUV) Max, SUVMean, and SUVPeak are metrics used to quantify positron emission tomography (PET) images. In order to assess the significance of a change in these metrics for diagnostic purposes, it is relevant to know their variation. The sources of variation can be biological or technical. In this study, we present a method to determine the statistical technical variation of SUV in PET images.

resultsThis method was tested on a NEMA quality phantom with spheres of various diameters with a full-length acquisition time of 150 s per bed position and foreground-to-background activity ratio of F

conclusionsWith the presented method, we aim to determine the statistical technical variation of SUV. The method enables the evaluation of the effect of SUV metric choice (Max, Mean, Peak) and lesion size on the technical variation and, therefore, to evaluate its relevance on the total variation of the SUV value between clinical studies.

Indexed as

PET quantificationStandard uptake valueVariation in standard uptake value

Identifiers

PMID35666316
PMCPMC9170854
OpenAlexW4281786699

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.