ArticleBMC medical imaging2021
Dynamic
Article in BMC medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 21 citations in OpenAlex.
- Kinetic modeling with total body PET-current status and future applications.The British journal of radiology · 2026Review
- Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising.IEEE transactions on radiation and plasma medical sciences · 2026Article
- Discriminating inflammation from malignancy with short-dynamic patlak parametric 18 F-FDG PET/CT.European journal of nuclear medicine and molecular imaging · 2026Article
- Multidimensional in silico evaluation of fluorine-18 radiopharmaceuticals: integrating pharmacokinetics, ADMET, and clustering for diagnostic stratification.Journal of computer-aided molecular design · 2025Article
- Dual-phase multiobjective Bayesian optimization method for estimating hepatocellular carcinoma dynamics parameters from PET/CT scans.Quantitative imaging in medicine and surgery · 2025Article
- Dynamic profiles of early biological responses to predict the treatment efficacy of proton therapy in liver cancer assessed with in vivo kinetic [18F]-FDG PET/MRI.Radiation oncology (London, England) · 2025Article
- A prior information-based multi-population multi-objective optimization for estimatingBMC medical imaging · 2025Article
- Dynamic FDG PET/CT imaging: quantitative assessment, advantages and application in the diagnosis of malignant solid tumors.Frontiers in oncology · 2025Review
- CoF-DResNet: Cancer Metastasis Recognition Network based on Dynamic Coordinated Metabolic Attention and Structural Attention.Current pharmaceutical biotechnology · 2025Article
- Development of quantitative PET/MR imaging for measurements of hepatic portal vein input function: a phantom study.EJNMMI physics · 2024Article
- Optimization and impact of sensitivity mode on abbreviated scan protocols with population-based input function for parametric imaging of [European journal of nuclear medicine and molecular imaging · 2024Article
- Measurement of hepatic glucose (Scientific reports · 2024Article
- The pivotal role of endoplasmic reticulum in FDG uptake in cancer cells.EJNMMI research · 2024Article
- KineticEJNMMI physics · 2024Article
- Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.European journal of nuclear medicine and molecular imaging · 2023Review
- Review
- Hepatic Positron Emission Tomography: Applications in Metabolism, Haemodynamics and Cancer.Metabolites · 2022Review
- Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma onBMC medical imaging · 2022Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDynamic 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.
methodsA 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
resultsResults 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.
conclusionsDynamic 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.