ArticleHeliyon2023
Age-related morphometrics of normal adrenal glands based on deep learning-aided segmentation.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Nationwide organ volume distributions and cross-sectional age-associated differences in abdominal CT from Japan.Japanese journal of radiology · 2026Article
- Association between CT-based adrenal gland volume and 10-year cardiovascular disease risk in patients with diabetes mellitus.Quantitative imaging in medicine and surgery · 2026Article
- [European journal of nuclear medicine and molecular imaging · 2026Article
- Deep-Learning-based Automatic Segmentation and Quantitative Measurement of Normal Spleen in Chinese AdultsCurrent medical imaging · 2026Article
- Deep Learning-Based Adrenal Gland Volumetry for the Prediction of Diabetes.Endocrinology and metabolism (Seoul, Korea) · 2025Observational
- Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study.Journal of medical Internet research · 2025Article
- Characterization of adrenal glands on computed tomography with a 3D V-Net-based model.Insights into imaging · 2025Article
- Asymmetric Adrenals: Sexual Dimorphism of Adrenal Tumors.The Journal of clinical endocrinology and metabolism · 2024Observational
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aims to evaluate the morphometrics of normal adrenal glands in adult patients semiautomatically using a deep learning-based segmentation model. MATERIALS AND
methodsA total of 520 abdominal CT image series with normal findings, from January 1, 2016, to March 14, 2019, were retrospectively collected for the training of the adrenal segmentation model. Then, 1043 portal venous phase image series of inpatient contrast-enhanced abdominal CT examinations with normal adrenal glands were included for analysis and grouped by every 10-year gap. A 3D U-Net-based segmentation model was used to predict bilateral adrenal labels followed by manual modification of labels as appropriate. Quantitative parameters (volume, CT value, and diameters) of the bilateral adrenal glands were then analyzed.
resultsIn the study cohort aged 18-77 years old (554 males and 489 females), the left adrenal gland was significantly larger than the right adrenal gland [all patients, 2867.79 (2317.11-3499.89) mm
conclusionsThe semiautomated measurement revealed that the adrenal volume differs as age increases. Male patients aged 38-47 years old have a peaked adrenal volume.
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