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Cited by 27Pituitary Gland Disorders and TreatmentsAdvanced MRI Techniques and ApplicationsElectrolyte and hormonal disorders

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Presence of the posterior pituitary bright spot sign on MRI in the general population: a comparison between 1.5 and 3T MRI and between 2D-T1 spin-echo- and 3D-T1 gradient-echo sequences

Abstract

Purpose To describe the prevalence of the posterior pituitary bright spot (PPBS) in the general population on 1.5 and 3T MRI examinations and on 2D-T1 spin-echo (SE) and 3D-T1 gradient-echo (GE) sequences. Materials and methods 1017 subjects who received an MRI of the brain for aspecific neurological complaints were included. MRI was performed on 1.5T in 64.5% and on 3T in 35.5% of subjects. Presence of the PPBS was evaluated on sagittal 2D T1-SE echo images with slice thickness 3 mm in 67.5% and on sagittal 3D T1-GE with slice thickness 0.9 mm in 32.5% of subjects. Results The PPBS was detectable in 95.9% of subjects. After correction for sex and age, no statistically significant difference could be seen concerning PPBS detection between 1.5 and 3T MRI examinations (p = 0.533), nor between 2D T1-SE and 3D T1-GE sequences (p = 0.217). There was a statistically significant association between increasing age and the absence of the PPBS (p < 0.001). The PPBS could not be identified in 6.2% of male subjects, compared to 2.2% of female subjects (p = 0.01). Discussion Absence of the PPBS can be seen in 4.1% of patients undergoing MRI of the brain for non-endocrinological reasons. Neither field-strength nor the use of a thick-sliced 2D T1-SE versus a thin-sliced 3D T1-GE sequence influenced the detectability of the PPBS. There is a statistically significant association between increasing age and male sex and the absence of the PPBS.

Overview

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Crossref · 10.1007/s11102-018-0885-3

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Metadata

Authors
Klyn, V., Dekeyzer, S., Van Eetvelde, R., Roels, P., Vergauwen, O., Devolder, P., Wiesmann, M., Achten, E., & Nikoubashman, O.
Affiliations
  • Universitätsklinikum Aachen (DE)
  • Onze Lieve Vrouwziekenhuis Hospital (BE)
  • Ghent University Hospital (BE)
Corresponding author
Dekeyzer, Sven
Venue
Pituitary
Published
2018-03-28
Volume
21
Issue
4
Pages
379-383
ISSN
  • 1386-341X (ISSN-L)
  • 1573-7403
OpenAlex
W2795100279
Cited by
27
References
13
Citations by year
2026: 4 · 2025: 5 · 2024: 3 · 2023: 2 · 2022: 6 · 2021: 2 · 2020: 3 · 2019: 1
FWCI
1.09
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Pituitary (publishedVersion)
  • PubMed (publishedVersion)
  • RWTH Publications (RWTH Aachen) (submittedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pituitary Gland Disorders and Treatments
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Nephrology › Electrolyte and hormonal disorders
Keywords
neurohypophysis, prevalence, slice thickness, sex differences, normal brain MRI
MeSH terms
Adult, Age Factors, Female, Humans, Magnetic Resonance Imaging, Male, Pituitary Gland, Posterior, Retrospective Studies, Sex Factors, Software, Vasopressins

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CoChat. (2026). Citation check: Presence of the posterior pituitary bright spot sign on MRI in the general population: a comparison between 1.5 and 3T MRI and between 2D-T1 spin-echo- and 3D-T1 gradient-echo sequences. https://app.cochat.ai/papers/10.1007/s11102-018-0885-3
The paper
Klyn, V., Dekeyzer, S., Van Eetvelde, R., Roels, P., Vergauwen, O., Devolder, P., Wiesmann, M., Achten, E., & Nikoubashman, O. (2018). Presence of the posterior pituitary bright spot sign on MRI in the general population: a comparison between 1.5 and 3T MRI and between 2D-T1 spin-echo- and 3D-T1 gradient-echo sequences. Pituitary. https://doi.org/10.1007/s11102-018-0885-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.