ArticleHealthcare informatics research2020
Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry.
Article in Healthcare informatics research, 2020. 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.
- Article
- Quantitative classification of pancreatic atrophy: the İstanbul morphometric pancreatic atrophy classification based on CT and MRI measurements.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026Article
- Deep Learning Model for Volume Measurement of the Remnant Pancreas After Pancreaticoduodenectomy and Distal Pancreatectomy.Diagnostics (Basel, Switzerland) · 2025Article
- An Investigation of the Relationship Between Pancreas Volume, Nutritional Status, and HbA1c in Geriatric Patients.Medicina (Kaunas, Lithuania) · 2025Article
- Pancreatic Volume in Thalassemia: Determinants and Association with Alterations of Glucose Metabolism.Diagnostics (Basel, Switzerland) · 2025Article
- Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuracies.Abdominal radiology (New York) · 2024Article
- Multiparametric quantitative MRI of healthy adult pancreas: correlations with gender and age.Frontiers in gastroenterology (Lausanne, Switzerland) · 2024Article
- Biomarkers of aging.Science China. Life sciences · 2023Review
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Authors and funding
8 authors.
Funding
Abstract
objectivesChanges in the pancreatic volume (PV) are useful as potential clinical markers for some pancreatic-related diseases. The objective of this study was to measure the volume of the pancreas using computed tomography (CT) volumetry and to evaluate the relationships between sex, age, body mass index (BMI), and sarcopenia.
methodsWe retrospectively analyzed the abdominal CT scans of 1,003 subjects whose ages ranged between 10 and 90 years. The pancreas was segmented manually to define the region of interest (ROI) based on CT images, and then the PVs were measured by counting the voxels in all ROIs within the pancreas boundary. Sarcopenia was identified by examination of CT images that determined the crosssectional area of the skeletal muscle around the third lumbar vertebra.
resultsThe mean volume of the pancreas was 62.648 ± 19.094 cm3. The results indicated a negative correlation between the PV and age. There was a positive correlation between the PV and BMI for both sexes, females, and males (r = 0.343, p < 0.001; r = 0.461, p < 0.001; and r = 0.244, p < 0.001, respectively). Additionally, there was a positive correlation between the PV and sarcopenia for females (r = 0.253, p < 0.001) and males (r = 0.200, p < 0.001).
conclusionsCT pancreas volumetry results may help physicians follow up or predict conditions of the pancreas after interventions for pancreatic-related disease in the future.
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