Objective To study the feasibility of noninvasive detection of unstable plaques with 18F-Fluorodeoxyglucose (18F-FDG) PET/CT imaging. Methods Atherosclerotic plaques were induced in male New Zealand white rabbits. Animals were injected with FDG labeled with 18F,then examined with PET/CT. Aorta was explanted for photography with digital camera,and 18F-FDG uptake analysis. Thirty unstable plaques and 30 stable plaques were choosed so as to compare the quantitativly 18F-FDG uptake.The number of macrophages and smooth muscle cells was detected by immunohistochemical technique. Results Experimental group showed inconsistent uptake of 18F-FDG in the abdominal aorta. The results were confirmed in the ex vivo digital photo of the explanted aorta. The target to non target ratio(T/NT) and macrophages of unstable plaques were higher than stable plaques(P

Objective To study the feasibility of noninvasive detection of unstable plaques with ~(18)F-Fluorodeoxyglu-cose (~(18)F-FDG) PET/CT imaging. Methods Atherosclerotic plaques were induced in male New Zealand white rabbits. Animals were injected with FDG labeled with ~(18)F, then examined with PET/CT. Aorta was explanted for photography with digital camera, and ~(18)F-FDG uptake analysis. Thirty unstable plaques and 30 stable plaques were choosed so as to compare the quantitativly ~(18)F-FDG uptake. The number of macrophages and smooth muscle cells was detected by immunohistochemical technique. Results Experimental group showed inconsistent uptake of ~(18)F-FDG in the abdominal aorta. The results were confirmed in the ex vivo digital photo of the explanted aorta. The target to non target ratio (T/NT) and macrophages of unstable plaques were higher than stable plaques (P<0.01) , but smooth muscle cells obviously reduced (P <0. 01). Correlation analysis showed that there was a positive correlation between T/NT and macrophage content (r=0. 815,P<0. 01), and a negative correlation between T/NT and SMC content(r=-0. 684,P <0. 01). Conclusion ~(18)F-FDG PET/CT can constitute an attractive imaging method for the noninvasive detection of experimental unstable plaques.

OBJECTIVE: To construct a multiple linear regression model of forced expiratory volume in 1 second (FEV1) for estimating FEV1 in special populations unable to receive or uncooperative in pulmonary ventilation function tests. METHODS: The multiple linear regression model of FEV1 was constructed based on the data of 813 individuals undergoing pulmonary function tests in First Affiliated Hospital of Zhejiang Chinese Medical University between September, 2017 and September, 2019, and was validated using the data of another 94 individuals from the same hospital between January and July, 2020. FEV1 of the individuals was measured by pulmonary ventilation function test, and respiratory resistance (Rrs) was measured using forced oscillation technique (FOT). Pearson correlation analysis was used to assess the correlation between the factors, and the model equation was established by multiple stepwise regression analysis. The calculated FEV1 based on the model was compared with the measured FEV1 among both the individuals included for modeling and validation. RESULTS: FEV1 was not significantly correlated with BMI ( CONCLUSIONS The multiple linear regression model for calculating FEV1 constructed in this study is suitable for clinical application.
Adult ; Forced Expiratory Volume ; Humans ; Linear Models ; Lung ; Respiratory Function Tests ; Sex Factors