1.Analysis of factors influencing 18F-FDG metabolic parameters in PET/CT scan for lung cancer
Wenchao MA ; Wengui XU ; Youwen DONG ; Xiuyu SONG ; Yanjia ZHU
Chinese Journal of Clinical Oncology 2015;(24):1163-1166
Objective:To explore the effects of body mass index (BMI) and gender on primary lung cancer 18F-FDG uptake param-eters, standardized uptake value (SUV), and standard uptake value of lean body mass (SUL). Methods:Data of 50 patients with prima-ry lung cancer confirmed by 18F-FDG positron emission tomography (PET)/computed tomography (CT) were retrospectively analyzed. AW4.6 workstation was employed to measure the SUVmean and SUVmax. Meanwhile, PETVCAR (PET Volume Computed Assisted Reading, GE Healthcare) software was used to automatically measure the SULmean, SULmax, and SULpeak. The SUVmean, SUV-max, SULmean, and SULmax of the liver (central region of the right lobe) were also measured automatically by PETVCAR. Afterward, T/N ratios (lesion SUVmax/liver SUVmean, lesion SULmax/liver SULmean, and lesion SULpeak/liver SULmean) of the lung cancer lesions were calculated. Correlations of the 18F-FDG metabolic parameters with BMI and gender of the patients were analyzed. Results:Liver SUVmean and SUVmax demonstrated significant positive correlations with BMI in all the patients (γ=0.38 and 0.36, P<0.05), and the SUVmean and SUVmax were positively correlated with BMI in male and female groups (γ=0.47 and 0.44, P<0.05), respective-ly. By contrast, no correlation existed between the liver SULmean and SULmax and BMI (P>0.05). No significant correlation was not-ed between the SUVmean, SUVmax, SULmean, SULmax, and SULpeak of the lung cancer lesions and BMI (P>0.05). The correlation trend is the same as that in different gender groups. Only the SUVmax T/N ratio of the lung cancer lesions showed a significant nega-tive correlation with BMI (γ=?0.29, P<0.05). The T/N ratios did not correlate with BMI in the different gender groups (P>0.05). Con-clusion:Patient BMI and gender mainly affect SUV values, particularly SUVmax, by contrast, patient BMI and gender did not signifi-cantly influence SUL and T/N ratio (SUL). Hence, SUL can be more suitable to quantitatively analyze and assess treatment response ob-jectively. This result will be helpful to the clinical application and promotion of PERCIST, which evaluates treatment response mainly by SUL.
2.Association of serum uric acid level with the prevalence of metabolic syndrome
Yanjia XU ; Jing LIU ; Qi ZHANG ; Mao LI ; Limin TIAN ; Jinxing QUAN
The Journal of Practical Medicine 2016;32(15):2556-2559
Objective To investigate the correlation of serum uric acid (SUA) level with the prevalence of metabolic syndrome (MS). Methods A random, multi-stage cross-sectional study was performed in 2364 resuden, aged from 20 to 74, in Lanzhou, Gansu province.The resudents were divided into groups according to the level of SUA or 4 components of MS. The relationship between SUA and MS was analyzed. Results The overall morbidity of MS was 20.13 % in Lanzhou , and the morbidity of MS was higher in female than that in male (23.22% vs. 17.37%, P < 0.05);The prevalences of MS was higher in the hyperuricemia (HUA) people than that in the healthy people (32.40 % vs. 17.70 %,P < 0.05); With the increase of SUA level, the morbidity rates of MS and its components increased;The risk of MS showed a gradual increase with the SUA level, the risk of MS(odds ratio,95%CI)in sex-specific quartiles of SUA was 2.33(1.45 ~ 3.71),2.33(1.45 ~3.71),2.44(1.53 ~ 3.89)in male;and 1.58(0.97~2.56),2.54(1.60 ~ 4.00),5.29(3.41 ~ 8.22)in female. The more the components of MS , the higher the SUA level was found for both the male and the female subjects , with the higher rate of HUA morbidity(P < 0.05). Conclusion There is a significant association between SUA level and MS, as well as the MS components. Comprehensive prevention and control should be taken for the reduction of the risk factors, and much attention should be paid to monitor the SUA level.