Evidence map›Paper›PMID 30521497›Full record

ArticleNuclear medicine communications2019

The appropriate whole body metric for calculating standardised uptake value and the influence of sex.

Georgia Keramida, A Michael Peters

Abstract read
In one paragraph

Article in Nuclear medicine communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Validation of quantitative [Annals of nuclear medicine · 2025
    Pooled it
  2. Sex- and Age-Related Differences in Physiological [Bioengineering (Basel, Switzerland) · 2026
    Article
  3. Clinical Medicine Insights. Oncology · 2026
    Article
  4. Article
  5. SUV normalisation and reference tissue selection for [European journal of nuclear medicine and molecular imaging · 2025
    Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor.European journal of nuclear medicine and molecular imaging · 2023
    Article
  11. 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 2 institutions in 2 countries.

Georgia KeramidaClinical Imaging Sciences Centre.
A Michael PetersBrighton and Sussex Medical School, Brighton.
Brighton and Sussex Medical School · GBRoyal Brompton & Harefield NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo compare weight, lean body mass and body surface area for calculation of standardised uptake value (SUV) in fluorine-18-fluorodeoxyglucose PET/computed tomography, taking sex into account. PATIENTS AND

methodsThis was a retrospective study of 161 (97 men) patients. Maximum standardised uptake value (SUVmax) and mean standardised uptake value (SUVmean) were obtained from a 3-cm region of interest over the right lobe of the liver and scaled to weight, scaled to lean body mass (SUL) and scaled to body surface area (SUA). Mean hepatic computed tomography density was used to adjust SUVmean for hepatic fat (SUVFA). Hepatic SUV indices were divided by SUV from left ventricular cavity, thereby, eliminating whole body metric, to obtain a surrogate of blood fluorine-18-fluorodeoxyglucose clearance into liver, and multiplied by blood glucose to give a surrogate of hepatic glucose uptake rate (mSUV).

resultsSULmax, SUAmax and all scaled to weight indices correlated strongly with weight. SULmean, SULFA, SUAmean and SUAFA, however, correlated weakly or not at all with weight, nor with their corresponding whole body metric in men or women, but correlated strongly when the sexes were combined into one group. This was the result of sex differences in SUL (greater in men) and SUA (greater in women). There was, however, no sex difference in mSUV.

conclusionWeight is unsuitable for calculating SUV. SUL and SUA are also inappropriate as maxima but appropriate as mean and fat-adjusted values. However, SUL is recommended for both sexes because SUA is influenced by both body fat and weight. Sex differences in SUL and SUA give rise to misleading correlations when sexes are combined into one group.

Indexed as

AdultBiological TransportBody CompositionFemaleFluorodeoxyglucose F18HumansMalePositron Emission Tomography Computed TomographyReference StandardsRetrospective StudiesSex FactorsFluorodeoxyglucose F18

Identifiers

PMID30521497
PMCPMC6282933
OpenAlexW2899060338

What OpenQuestion holds

Textmetadata
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.