Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT
Abstract Background Kinetic parameters estimated with dynamic 18F-FDG PET/CT can help to characterize hepatocellular carcinoma (HCC). We aim to evaluate the feasibility of the gravitational search algorithm (GSA) for kinetic parameter estimation and to propose a dynamic chaotic gravitational search...
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| Format: | Article |
| Language: | English |
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BMC
2022-02-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-022-00742-4 |
| _version_ | 1798023867913994240 |
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| author | Jianfeng He Tao Wang Yongjin Li Yinglei Deng Shaobo Wang |
| author_facet | Jianfeng He Tao Wang Yongjin Li Yinglei Deng Shaobo Wang |
| author_sort | Jianfeng He |
| collection | DOAJ |
| description | Abstract Background Kinetic parameters estimated with dynamic 18F-FDG PET/CT can help to characterize hepatocellular carcinoma (HCC). We aim to evaluate the feasibility of the gravitational search algorithm (GSA) for kinetic parameter estimation and to propose a dynamic chaotic gravitational search algorithm (DCGSA) to enhance parameter estimation. Methods Five-minute dynamic PET/CT data of 20 HCCs were prospectively enrolled, and the kinetic parameters k 1 ~ k 4 and the hepatic arterial perfusion index (HPI) were estimated with a dual-input three-compartment model based on nonlinear least squares (NLLS), GSA and DCGSA. Results The results showed that there were significant differences between the HCCs and background liver tissues for k 1, k 4 and the HPI of NLLS; k 1, k 3, k 4 and the HPI of GSA; and k 1, k 2, k 3, k 4 and the HPI of DCGSA. DCGSA had a higher diagnostic performance for k 3 than NLLS and GSA. Conclusions GSA enables accurate estimation of the kinetic parameters of dynamic PET/CT in the diagnosis of HCC, and DCGSA can enhance the diagnostic performance. |
| first_indexed | 2024-04-11T17:53:29Z |
| format | Article |
| id | doaj.art-ac6a055e3d17459ba52f74b2f12f2490 |
| institution | Directory Open Access Journal |
| issn | 1471-2342 |
| language | English |
| last_indexed | 2024-04-11T17:53:29Z |
| publishDate | 2022-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Imaging |
| spelling | doaj.art-ac6a055e3d17459ba52f74b2f12f24902022-12-22T04:10:59ZengBMCBMC Medical Imaging1471-23422022-02-0122111010.1186/s12880-022-00742-4Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CTJianfeng He0Tao Wang1Yongjin Li2Yinglei Deng3Shaobo Wang4Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial IntelligenceFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial IntelligenceFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial IntelligencePET/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 YunnanAbstract Background Kinetic parameters estimated with dynamic 18F-FDG PET/CT can help to characterize hepatocellular carcinoma (HCC). We aim to evaluate the feasibility of the gravitational search algorithm (GSA) for kinetic parameter estimation and to propose a dynamic chaotic gravitational search algorithm (DCGSA) to enhance parameter estimation. Methods Five-minute dynamic PET/CT data of 20 HCCs were prospectively enrolled, and the kinetic parameters k 1 ~ k 4 and the hepatic arterial perfusion index (HPI) were estimated with a dual-input three-compartment model based on nonlinear least squares (NLLS), GSA and DCGSA. Results The results showed that there were significant differences between the HCCs and background liver tissues for k 1, k 4 and the HPI of NLLS; k 1, k 3, k 4 and the HPI of GSA; and k 1, k 2, k 3, k 4 and the HPI of DCGSA. DCGSA had a higher diagnostic performance for k 3 than NLLS and GSA. Conclusions GSA enables accurate estimation of the kinetic parameters of dynamic PET/CT in the diagnosis of HCC, and DCGSA can enhance the diagnostic performance.https://doi.org/10.1186/s12880-022-00742-4Kinetic modelsPET/CTHepatocellular carcinomaGravitational search algorithm |
| spellingShingle | Jianfeng He Tao Wang Yongjin Li Yinglei Deng Shaobo Wang Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT BMC Medical Imaging Kinetic models PET/CT Hepatocellular carcinoma Gravitational search algorithm |
| title | Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT |
| title_full | Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT |
| title_fullStr | Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT |
| title_full_unstemmed | Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT |
| title_short | Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT |
| title_sort | dynamic chaotic gravitational search algorithm based kinetic parameter estimation of hepatocellular carcinoma on 18f fdg pet ct |
| topic | Kinetic models PET/CT Hepatocellular carcinoma Gravitational search algorithm |
| url | https://doi.org/10.1186/s12880-022-00742-4 |
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