Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry

• Published in: Healthcare informatics research Vol. 26; no. 4; pp. 321 - 327
• Main Authors: Yoon, Jihyun, Kim, Kwang Gi, Kim, Young Jae, Lim, Sangheon, Park, Yeon-Ho, Kim, Doojin, Kang, Hee-Taik, Lee, Doo-Ho
• Format: Journal Article
• Language: English
• Published: Korean Society of Medical Informatics 01.10.2020; The Korean Society of Medical Informatics; 대한의료정보학회
• Subjects: body mass index (bmi); computed tomography (ct); deep learning; Original; pancreas; sarcopenia; 예방의학
• ISSN: 2093-369X; 2093-3681; 2093-369X
• DOI: 10.4258/hir.2020.26.4.321

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.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.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.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.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).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).CT pancreas volumetry results may help physicians follow up or predict conditions of the pancreas after interventions for pancreatic-related disease in the future.CONCLUSIONSCT pancreas volumetry results may help physicians follow up or predict conditions of the pancreas after interventions for pancreatic-related disease in the future.