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Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry

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 mas...

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Autores principales: Yoon, Jihyun, Kim, Kwang Gi, Kim, Young Jae, Lim, Sangheon, Park, Yeon-Ho, Kim, Doojin, Kang, Hee-Taik, Lee, Doo-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674810/
https://www.ncbi.nlm.nih.gov/pubmed/33190466
http://dx.doi.org/10.4258/hir.2020.26.4.321
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author Yoon, Jihyun
Kim, Kwang Gi
Kim, Young Jae
Lim, Sangheon
Park, Yeon-Ho
Kim, Doojin
Kang, Hee-Taik
Lee, Doo-Ho
author_facet Yoon, Jihyun
Kim, Kwang Gi
Kim, Young Jae
Lim, Sangheon
Park, Yeon-Ho
Kim, Doojin
Kang, Hee-Taik
Lee, Doo-Ho
author_sort Yoon, Jihyun
collection PubMed
description 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 cross-sectional area of the skeletal muscle around the third lumbar vertebra. RESULTS: The mean volume of the pancreas was 62.648 ± 19.094 cm(3). 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.
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spelling pubmed-76748102020-11-19 Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry Yoon, Jihyun Kim, Kwang Gi Kim, Young Jae Lim, Sangheon Park, Yeon-Ho Kim, Doojin Kang, Hee-Taik Lee, Doo-Ho Healthc Inform Res Original Article 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 cross-sectional area of the skeletal muscle around the third lumbar vertebra. RESULTS: The mean volume of the pancreas was 62.648 ± 19.094 cm(3). 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. Korean Society of Medical Informatics 2020-10 2020-10-31 /pmc/articles/PMC7674810/ /pubmed/33190466 http://dx.doi.org/10.4258/hir.2020.26.4.321 Text en © 2020 The Korean Society of Medical Informatics This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yoon, Jihyun
Kim, Kwang Gi
Kim, Young Jae
Lim, Sangheon
Park, Yeon-Ho
Kim, Doojin
Kang, Hee-Taik
Lee, Doo-Ho
Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry
title Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry
title_full Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry
title_fullStr Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry
title_full_unstemmed Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry
title_short Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry
title_sort distribution and characteristics of pancreatic volume using computed tomography volumetry
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674810/
https://www.ncbi.nlm.nih.gov/pubmed/33190466
http://dx.doi.org/10.4258/hir.2020.26.4.321
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