Healthc Inform Res.  2020 Oct;26(4):321-327. 10.4258/hir.2020.26.4.321.

Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry

• Yoon J
• Kim KG
• Kim YJ
• Lim S
• Park YH
• Kim D
• Kang HT
• Lee DH

• KMID: 2508624
• DOI: http://doi.org/10.4258/hir.2020.26.4.321

Abstract

Objectives
Changes 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.
Methods
We 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.
Results
The 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).
Conclusions
CT pancreas volumetry results may help physicians follow up or predict conditions of the pancreas after interventions for pancreatic-related disease in the future.

Keyword

Pancreas, Deep Learning, Body Mass Index (BMI), Sarcopenia, Computed Tomography (CT)

Figure

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  Figure 1 Box-and-whisker plots of pancreatic volume with respect to age. Boxes indicate median and 25th–75th percentile ranges.

Reference

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