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
Background Kinetic estimation provides fitted parameters related to blood flow perfusion and fluorine-18-fluorodeoxyglucose (F-18-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 F-18-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 similar to k(3), HPI and Vb in the short-term and fully dynamic protocols. With the three-compartment model, HCCs were found to have higher k(2), HPI and k3 values than background liver tissues, while K-1, k(4) and 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 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.
基金:
National Natural Science Foundation of China [82260355, 81760306, 82160347]; Yunnan Key Laboratory of Smart City in Cyberspace Security [202105AG070010]; Basic Research on Application of Joint Special Funding of Science and Technology Department ofYunnan Province-Kunming Medical University [2018FE001(-291)]; High-level Talent Project of Health in Yunnan Province [D-2018011]; Ten Thousand People Plan in Yunnan Province [YNWR-QNBJ-2018-243]
第一作者机构:[1]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Yunnan Key Lab Artificial Intelligence, Kunming 650500, Yunnan, Peoples R China
共同第一作者:
通讯作者:
通讯机构:[2]Kunming Univ Sci & Technol, Peoples Hosp Yunnan 1, PET CT Ctr, Affiliated Hosp, Kunming 650031, Peoples R China[3]Kunming Univ Sci & Technol, Inst Primate Translat Med, Yunnan Key Lab Primate Biomed Res, Kunming, Peoples R China
推荐引用方式(GB/T 7714):
Wang Tao,Li Boqiao,Shi Hong,et al.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[J].INSIGHTS INTO IMAGING.2023,14(1):doi:10.1186/s13244-023-01442-5.
APA:
Wang, Tao,Li, Boqiao,Shi, Hong,Li, Pengfei,Deng, Yinglei...&Wang, Shaobo.(2023).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,14,(1)
MLA:
Wang, Tao,et al."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 14..1(2023)