Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment model
Abstract Background Kinetic estimation provides fitted parameters related to blood flow perfusion and fluorine-18-fluorodeoxyglucose (18F-FDG) transport and intracellular metabolism to characterize hepatocellular carcinoma (HCC) but usually requires 60 min or more for dynamic PET, which is time-cons...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-05-01
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| Series: | Insights into Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13244-023-01442-5 |
| _version_ | 1797818016573947904 |
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| author | Tao Wang Boqiao Li Hong Shi Pengfei Li Yinglei Deng Siyu Wang Qiao Luo Dongdong Xv Jianfeng He Shaobo Wang |
| author_facet | Tao Wang Boqiao Li Hong Shi Pengfei Li Yinglei Deng Siyu Wang Qiao Luo Dongdong Xv Jianfeng He Shaobo Wang |
| author_sort | Tao Wang |
| collection | DOAJ |
| description | Abstract Background Kinetic estimation provides fitted parameters related to blood flow perfusion and fluorine-18-fluorodeoxyglucose (18F-FDG) transport and intracellular metabolism to characterize hepatocellular carcinoma (HCC) but usually requires 60 min or more for dynamic PET, which is time-consuming and impractical in a busy clinical setting and has poor patient tolerance. Methods This study preliminarily evaluated the equivalence of liver kinetic estimation between short-term (5-min dynamic data supplemented with 1-min static data at 60 min postinjection) and fully 60-min dynamic protocols and whether short-term 18F-FDG PET-derived kinetic parameters using a three-compartment model can be used to discriminate HCC from the background liver tissue. Then, we proposed a combined model, a combination of the maximum-slope method and a three-compartment model, to improve kinetic estimation. Results There is a strong correlation between the kinetic parameters K 1 ~ k 3, HPI and $${{\varvec{V}}}_{{\varvec{b}}}$$ V b in the short-term and fully dynamic protocols. With the three-compartment model, HCCs were found to have higher k 2, HPI and k 3 values than background liver tissues, while K 1, k 4 and $${{\varvec{V}}}_{{\varvec{b}}}$$ V b values were not significantly different between HCCs and background liver tissues. With the combined model, HCCs were found to have higher HPI, K 1 and k 2, k 3 and $${{\varvec{V}}}_{{\varvec{b}}}$$ V b values than background liver tissues; however, the k 4 value was not significantly different between HCCs and the background liver tissues. Conclusions Short-term PET is closely equivalent to fully dynamic PET for liver kinetic estimation. Short-term PET-derived kinetic parameters can be used to distinguish HCC from background liver tissue, and the combined model improves the kinetic estimation. Clinical relevance statement Short-term PET could be used for hepatic kinetic parameter estimation. The combined model could improve the estimation of liver kinetic parameters. Graphical Abstract |
| first_indexed | 2024-03-13T09:02:01Z |
| format | Article |
| id | doaj.art-c5a8c93eb6e1442c92bebe3a30b7d89b |
| institution | Directory Open Access Journal |
| issn | 1869-4101 |
| language | English |
| last_indexed | 2024-03-13T09:02:01Z |
| publishDate | 2023-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Insights into Imaging |
| spelling | doaj.art-c5a8c93eb6e1442c92bebe3a30b7d89b2023-05-28T11:18:47ZengSpringerOpenInsights into Imaging1869-41012023-05-0114111410.1186/s13244-023-01442-5Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment modelTao Wang0Boqiao Li1Hong Shi2Pengfei Li3Yinglei Deng4Siyu Wang5Qiao Luo6Dongdong Xv7Jianfeng He8Shaobo Wang9Yunnan Key Laboratory of Artificial Intelligence, Faculty of Information Engineering and Automation, Kunming University of Science and TechnologyYunnan Key Laboratory of Artificial Intelligence, Faculty of Information Engineering and Automation, Kunming University of Science and TechnologyYunnan Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and TechnologyPET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People’s Hospital of YunnanPET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People’s Hospital of YunnanPET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People’s Hospital of YunnanPET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People’s Hospital of YunnanPET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People’s Hospital of YunnanYunnan Key Laboratory of Artificial Intelligence, Faculty of Information Engineering and Automation, Kunming University of Science and TechnologyPET/CT Center, Affiliated Hospital of Kunming University of Science and Technology, First People’s Hospital of YunnanAbstract Background Kinetic estimation provides fitted parameters related to blood flow perfusion and fluorine-18-fluorodeoxyglucose (18F-FDG) transport and intracellular metabolism to characterize hepatocellular carcinoma (HCC) but usually requires 60 min or more for dynamic PET, which is time-consuming and impractical in a busy clinical setting and has poor patient tolerance. Methods This study preliminarily evaluated the equivalence of liver kinetic estimation between short-term (5-min dynamic data supplemented with 1-min static data at 60 min postinjection) and fully 60-min dynamic protocols and whether short-term 18F-FDG PET-derived kinetic parameters using a three-compartment model can be used to discriminate HCC from the background liver tissue. Then, we proposed a combined model, a combination of the maximum-slope method and a three-compartment model, to improve kinetic estimation. Results There is a strong correlation between the kinetic parameters K 1 ~ k 3, HPI and $${{\varvec{V}}}_{{\varvec{b}}}$$ V b in the short-term and fully dynamic protocols. With the three-compartment model, HCCs were found to have higher k 2, HPI and k 3 values than background liver tissues, while K 1, k 4 and $${{\varvec{V}}}_{{\varvec{b}}}$$ V b values were not significantly different between HCCs and background liver tissues. With the combined model, HCCs were found to have higher HPI, K 1 and k 2, k 3 and $${{\varvec{V}}}_{{\varvec{b}}}$$ V b values than background liver tissues; however, the k 4 value was not significantly different between HCCs and the background liver tissues. Conclusions Short-term PET is closely equivalent to fully dynamic PET for liver kinetic estimation. Short-term PET-derived kinetic parameters can be used to distinguish HCC from background liver tissue, and the combined model improves the kinetic estimation. Clinical relevance statement Short-term PET could be used for hepatic kinetic parameter estimation. The combined model could improve the estimation of liver kinetic parameters. Graphical Abstracthttps://doi.org/10.1186/s13244-023-01442-5Hepatocellular carcinomasPositron-emission tomographyCompartmental model |
| spellingShingle | Tao Wang Boqiao Li Hong Shi Pengfei Li Yinglei Deng Siyu Wang Qiao Luo Dongdong Xv Jianfeng He Shaobo Wang Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment model Insights into Imaging Hepatocellular carcinomas Positron-emission tomography Compartmental model |
| title | Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment model |
| title_full | Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment model |
| title_fullStr | Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment model |
| title_full_unstemmed | Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment model |
| title_short | Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment model |
| title_sort | short term pet derived kinetic estimation for the diagnosis of hepatocellular carcinoma a combination of the maximum slope method and dual input three compartment model |
| topic | Hepatocellular carcinomas Positron-emission tomography Compartmental model |
| url | https://doi.org/10.1186/s13244-023-01442-5 |
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