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@#[Abstract] Objective: To investigate the relationship between 18F-FDG PET/CT metabolic indicators and expression of immunocyte markers in lung adenocarcinoma patients, and to explore its significance in treatment and prognosis prediction for lung adenocarcinoma patients.Methods:Theclinicaldataof85lungadenocarcinomapatients,whoadmittedtoTianjinMedicalUniversityCancerInstituteand Hospital and underwent PET/CT examination from April 2008 to August 2014, were retrospectively analyzed. The expression levels of CD3, CD8, CD68, CD163, CD11c, Foxp3, PD-1 and PD-L1 were determined by immunohistochemistry. Correlations among immune markers (CD68+TAM), PET/CT metabolic parameters (SUVmax, SUVpeak and SUVmean) and tumor metabolic indicators (MTV , TLG) were analyzed using Pearson correlation analysis.The relationships between tumor metabolism, immune indicators and patients’survival outcomes were analyzed using the Kaplan-Meier method. Results: There was a remarkably negative correlation between SUVmax, SUVpeak, SUVmean and expression level of CD68+TAMs(r=-0.253,-0.265,-0.263,allP<0.05)butpositivecorrelationwithPD-1+TILs (r=0.427, 0.402, 0.395, all P<0.01) in lung adenocarcinoma patients. MTV and TLG were positively associated with Foxp3+ Tregs and PD-1+ TILs (r=0.313, 0.307, 0.29, 0.407, all P<0.01). Kaplan-Meier survival analysis showed that SUVmax, SUVmean, CD11c+DCs, PD-L1+ cells and TLG were all significantly associated with patients’prognosis (PFS or OS) (all P<0.05). Conclusion: Metabolism of tumor primary lesions is significantly correlated with tumor infiltrating immunocytes, and some of these indicators were associatedwithpatients’prognosis, suggesting that tumor metabolism and microenvironment immune status reflected by 18F-FDG PET/CTindicatorsmay have important reference value fortheimmunotherapyandprognosispredictionoflungadenocarcinoma patients.
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Objective: To evaluate the diagnostic value of PET/CT in single space-occupying lesion of the liver hepatic disease. Meth-ods: Data of 177 patients from Tianjin Medical University Cancer Institute and Hospital between March 2012 and September 2017 with a single hepatic space-occupying lesion who had undergone 18F-FDG PET/CT were collected. CT values and the long and short di-ameters were measured in PACS system. A post-processing workstation was employed, and PETVCAR software was used to automati-cally measure the standardized uptake value (SUV) of the focal and the normal liver tissue. Afterward, T (SUV of the focal)/N (SUV of the normal liver tissue) ratios were calculated. Then, the diagnostic value of various parameters for different pathological types was an-alyzed. The correlation between two continuous variables was calculated using Pearson analysis. Results: The long and short diame-ters of the primary hepatic carcinoma were significantly larger than those of metastatic lesions (P<0.05). The positive rates of hepato-cellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and metastases were 67.6%, 95.2%, and 98.7%, respectively. All meta-bolic parameters of HCC were significantly lower than those of the other pathological types of liver cancer or metastases (P<0.05). The AUCs for diagnosis of ICC and metastases were higher than 0.5, but there was no statistical difference between the AUCs of different SUVs. Moreover, SUVmax was related to lesion size (r=0.535, P<0.001). Conclusions: 18F-FDG PET/CT has a high positive predictive val-ue and effective diagnostic function for ICC and metastasis, and the diagnostic efficacy for both is higher than that for HCC.
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18F-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) is widely used to diagnose and stage non-small cell lung cancer (NSCLC). The aim of this retrospective study was to evaluate the predictive ability of different FDG standardized uptake values (SUVs) in 74 patients with newly diagnosed NSCLC. 18F-FDG PET/CT scans were performed and different SUV parameters (SUVmax, SUVavg, SUVT/L, and SUVT/A) obtained, and their relationship with clinical characteristics were investigated. Meanwhile, correlation and multiple stepwise regression analyses were performed to determine the primary predictor of SUVs for NSCLC. Age, gender, and tumor size significantly affected SUV parameters. The mean SUVs of squamous cell carcinoma were higher than those of adenocarcinoma. Poorly differentiated tumors exhibited higher SUVs than well-differentiated ones. Further analyses based on the pathologic type revealed that the SUVmax, SUVavg, and SUVT/L of poorly differentiated adenocarcinoma tumors were higher than those of moderately or well-differentiated tumors. Among these four SUV parameters, SUVT/L was the primary predictor for tumor differentiation. However, in adenocarcinoma, SUVmax was the determining factor for tumor differentiation. Our results showed that these four SUV parameters had predictive significance related to NSCLC tumor differentiation; SUVT/L appeared to be most useful overall, but SUVmax was the best index for adenocarcinoma tumor differentiation.