Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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
_version_ 1783698527355928576
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
work_keys_str_mv AT wangjingnan dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT shaoyunwen dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT liubowei dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT wangxuezhu dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT geistbarbarakatharina dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT lixiang dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT lifang dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT zhaohaitao dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT hackermarcus dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT dinghaiyan dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT zhanghui dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction
AT huoli dynamic18ffdgpetimagingofliverlesionsevaluationofatwotissuecompartmentmodelwithdualbloodinputfunction