Evidence map›Paper›PMID 26515550›Full record

ArticleEuropean radiology2016

MDCT Linear and Volumetric Analysis of Adrenal Glands: Normative Data and Multiparametric Assessment.

Aline Carsin-Vu, Nadia Oubaya, Sébastien Mulé, Annaëlle Janvier, Brigitte Delemer, Philippe Soyer, Christine Hoeffel

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Article in European radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Deep Learning-Based Adrenal Gland Volumetry for the Prediction of Diabetes.Endocrinology and metabolism (Seoul, Korea) · 2025
    Observational
  3. Article
  4. Article
  5. Asymmetric Adrenals: Sexual Dimorphism of Adrenal Tumors.The Journal of clinical endocrinology and metabolism · 2024
    Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The Lateralizing Asymmetry of Adrenal Adenomas.Journal of the Endocrine Society · 2018
    Article
  17. 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

7 authors.

Aline Carsin-VuDepartment of Radiology, Centre Hospitalier Universitaire Robert-Debré, 45, rue Cognacq-Jay, 51092, Reims Cedex, France. certhiel@hotmail.com.
Nadia OubayaDepartment of Research and Innovation, Centre Hospitalier Universitaire Robert-Debré, 45, rue Cognacq-Jay, 51092, Reims Cedex, France.
Sébastien MuléDepartment of Radiology, Centre Hospitalier Universitaire Robert-Debré, 45, rue Cognacq-Jay, 51092, Reims Cedex, France.
Annaëlle JanvierDepartment of Radiology, Centre Hospitalier Universitaire Robert-Debré, 45, rue Cognacq-Jay, 51092, Reims Cedex, France.
Brigitte DelemerDepartment of Endocrinology, Centre Hospitalier Universitaire Robert-Debré, 45, rue Cognacq-Jay, 51092, Reims Cedex, France.
Philippe SoyerUniversité Diderot (Paris 7), Sorbonne Paris-Cité, 10, rue de Verdun, 75010, Paris, France.
Christine HoeffelDepartment of Radiology, Centre Hospitalier Universitaire Robert-Debré, 45, rue Cognacq-Jay, 51092, Reims Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study linear and volumetric adrenal measurements, their reproducibility, and correlations between total adrenal volume (TAV) and adrenal micronodularity, age, gender, body mass index (BMI), visceral (VAAT) and subcutaneous adipose tissue volume (SAAT), presence of diabetes, chronic alcoholic abuse and chronic inflammatory disease (CID).

methodsWe included 154 patients (M/F, 65/89; mean age, 57 years) undergoing abdominal multidetector row computed tomography (MDCT). Two radiologists prospectively independently performed adrenal linear and volumetric measurements with semi-automatic software. Inter-observer reliability was studied using inter-observer correlation coefficient (ICC). Relationships between TAV and associated factors were studied using bivariate and multivariable analysis.

resultsMean TAV was 8.4 ± 2.7 cm(3) (3.3-18.7 cm(3)). ICC was excellent for TAV (0.97; 95 % CI: 0.96-0.98) and moderate to good for linear measurements. TAV was significantly greater in men (p < 0.0001), alcoholics (p = 0.04), diabetics (p = 0.0003) and those with micronodular glands (p = 0.001). TAV was lower in CID patients (p = 0.0001). TAV correlated positively with VAAT (r = 0.53, p < 0.0001), BMI (r = 0.42, p < 0.0001), SAAT (r = 0.29, p = 0.0003) and age (r = 0.23, p = 0.005). Multivariable analysis revealed gender, micronodularity, diabetes, age and BMI as independent factors influencing TAV.

conclusionsAdrenal gland MDCT-based volumetric measurements are more reproducible than linear measurements. Gender, micronodularity, age, BMI and diabetes independently influence TAV. KEY POINTS: • Volumetric measurements are more reproducible than linear measurements for adrenal glands. • Inter-observer reproducibility of adrenal gland volume is excellent using semiautomatic software. • Gender, age, BMI, and diabetes independently influence total adrenal gland volume. • Adrenal micronodularity is associated with increased total adrenal gland volume.

Indexed as

Adrenal GlandsAgedAged, 80 and overAge FactorsBody Mass IndexDiabetes MellitusFemaleHumansImaging, Three-DimensionalMaleMiddle AgedMultidetector Computed TomographyObserver VariationOrgan SizeProspective StudiesReference ValuesAdrenal glandsDiabetes mellitusOrgan sizeReference valuesTomography scanners, X-ray computed

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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.