Dynamic PET of human liver inflammation: impact of kinetic modeling with optimization-derived dual-blood input function

Physics in Medicine and Biology
Guobao WangSouvik Sarkar


The hallmark of nonalcoholic steatohepatitis is hepatocellular inflammation and injury in the setting of hepatic steatosis. Recent work has indicated that dynamic 18F-FDG PET with kinetic modeling has the potential to assess hepatic inflammation noninvasively, while static FDG-PET is less promising. Because the liver has dual blood supplies, kinetic modeling of dynamic liver PET data is challenging in human studies. This paper aims to identify the optimal dual-input kinetic modeling approach for dynamic FDG-PET of human liver inflammation. Fourteen patients with nonalcoholic fatty liver disease were included. Each patient underwent 1 h dynamic FDG-PET/CT scan and had liver biopsy within six weeks. Three models were tested for kinetic analysis: the traditional two-tissue compartmental model with an image-derived single-blood input function (SBIF), a model with population-based dual-blood input function (DBIF), and a new model with optimization-derived DBIF through a joint estimation framework. The three models were compared using Akaike information criterion (AIC), F test and histopathologic inflammation score. Results showed that the optimization-derived DBIF model improved liver time activity curve fitting and achieved lower A...Continue Reading


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Jan 24, 2019·AJR. American Journal of Roentgenology·Souvik SarkarGuobao Wang
Jun 13, 2020·Clinical Physiology and Functional Imaging·Georgia Keramida, A Michael Peters
Oct 20, 2020·Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association·S SarkarG B Wang
Aug 28, 2021·Metabolic Syndrome and Related Disorders·Souvik SarkarGuobao Wang
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