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Dynamic (18)F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function
BACKGROUND: Dynamic PET with kinetic modeling was reported to be potentially helpful in the assessment of hepatic malignancy. In this study, a kinetic modeling analysis was performed on hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) from dynamic FDG positron emission tomogr...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152049/ https://www.ncbi.nlm.nih.gov/pubmed/34034664 http://dx.doi.org/10.1186/s12880-021-00623-2 |
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author | Wang, Jingnan Shao, Yunwen Liu, Bowei Wang, Xuezhu Geist, Barbara Katharina Li, Xiang Li, Fang Zhao, Haitao Hacker, Marcus Ding, Haiyan Zhang, Hui Huo, Li |
author_facet | Wang, Jingnan Shao, Yunwen Liu, Bowei Wang, Xuezhu Geist, Barbara Katharina Li, Xiang Li, Fang Zhao, Haitao Hacker, Marcus Ding, Haiyan Zhang, Hui Huo, Li |
author_sort | Wang, Jingnan |
collection | PubMed |
description | BACKGROUND: Dynamic PET with kinetic modeling was reported to be potentially helpful in the assessment of hepatic malignancy. In this study, a kinetic modeling analysis was performed on hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) from dynamic FDG positron emission tomography/computer tomography (PET/CT) scans. METHODS: A reversible two-tissue compartment model with dual blood input function, which takes into consideration the blood supply from both hepatic artery and portal vein, was used for accurate kinetic modeling of liver dynamic (18)F-FDG PET imaging. The blood input functions were directly measured as the mean values over the VOIs on descending aorta and portal vein respectively. And the contribution of hepatic artery to the blood input function was optimization-derived in the process of model fitting. The kinetic model was evaluated using dynamic PET data acquired on 24 patients with identified hepatobiliary malignancy. 38 HCC or ICC identified lesions and 24 healthy liver regions were analyzed. RESULTS: Results showed significant differences in kinetic parameters [Formula: see text] , blood supplying fraction [Formula: see text] , and metabolic rate constant [Formula: see text] between malignant lesions and healthy liver tissue. And significant differences were also observed in [Formula: see text] , [Formula: see text] , [Formula: see text] and [Formula: see text] between HCC and ICC lesions. Further investigations of the effect of SUV measurements on the derived kinetic parameters were conducted. And results showed comparable effectiveness of the kinetic modeling using either SUVmean or SUVmax measurements. CONCLUSIONS: Dynamic 18F-FDG PET imaging with optimization-derived hepatic artery blood supply fraction dual-blood input function kinetic modeling can effectively distinguish malignant lesions from healthy liver tissue, as well as HCC and ICC lesions. |
format | Online Article Text |
id | pubmed-8152049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81520492021-05-26 Dynamic (18)F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function Wang, Jingnan Shao, Yunwen Liu, Bowei Wang, Xuezhu Geist, Barbara Katharina Li, Xiang Li, Fang Zhao, Haitao Hacker, Marcus Ding, Haiyan Zhang, Hui Huo, Li BMC Med Imaging Research BACKGROUND: Dynamic PET with kinetic modeling was reported to be potentially helpful in the assessment of hepatic malignancy. In this study, a kinetic modeling analysis was performed on hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) from dynamic FDG positron emission tomography/computer tomography (PET/CT) scans. METHODS: A reversible two-tissue compartment model with dual blood input function, which takes into consideration the blood supply from both hepatic artery and portal vein, was used for accurate kinetic modeling of liver dynamic (18)F-FDG PET imaging. The blood input functions were directly measured as the mean values over the VOIs on descending aorta and portal vein respectively. And the contribution of hepatic artery to the blood input function was optimization-derived in the process of model fitting. The kinetic model was evaluated using dynamic PET data acquired on 24 patients with identified hepatobiliary malignancy. 38 HCC or ICC identified lesions and 24 healthy liver regions were analyzed. RESULTS: Results showed significant differences in kinetic parameters [Formula: see text] , blood supplying fraction [Formula: see text] , and metabolic rate constant [Formula: see text] between malignant lesions and healthy liver tissue. And significant differences were also observed in [Formula: see text] , [Formula: see text] , [Formula: see text] and [Formula: see text] between HCC and ICC lesions. Further investigations of the effect of SUV measurements on the derived kinetic parameters were conducted. And results showed comparable effectiveness of the kinetic modeling using either SUVmean or SUVmax measurements. CONCLUSIONS: Dynamic 18F-FDG PET imaging with optimization-derived hepatic artery blood supply fraction dual-blood input function kinetic modeling can effectively distinguish malignant lesions from healthy liver tissue, as well as HCC and ICC lesions. BioMed Central 2021-05-25 /pmc/articles/PMC8152049/ /pubmed/34034664 http://dx.doi.org/10.1186/s12880-021-00623-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Jingnan Shao, Yunwen Liu, Bowei Wang, Xuezhu Geist, Barbara Katharina Li, Xiang Li, Fang Zhao, Haitao Hacker, Marcus Ding, Haiyan Zhang, Hui Huo, Li Dynamic (18)F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function |
title | Dynamic (18)F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function |
title_full | Dynamic (18)F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function |
title_fullStr | Dynamic (18)F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function |
title_full_unstemmed | Dynamic (18)F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function |
title_short | Dynamic (18)F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function |
title_sort | dynamic (18)f-fdg pet imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152049/ https://www.ncbi.nlm.nih.gov/pubmed/34034664 http://dx.doi.org/10.1186/s12880-021-00623-2 |
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