Objective To analyze the differences between calculated and actual volumes of regions of interest ( ROIs) in three treatment planning systems ( TPSs):PrecisePlan, Xio, and Oncentra, to transfer different ROIs and compare their calculated volume between the three TPSs, and to provide a basis for clinical application. Methods Different sizes of ROIs were delineated on 5 sets of computed tomography ( CT) images with different slice thickness. Square and round regions with different slice numbers were contoured in a homogeneous phantom. Three groups of patients ( n=5) with head and neck tumor, chest and abdomen tumor, and pelvic tumor, respectively, were enrolled as subjects. All the ROIs were independently transferred back and forth between three TPSs and different workstations with the same system in DICOM RT format. The changes in actual and calculated ROI volumes were evaluated after back and forth transfer. Results There was a significant positive linear correlation between the calculated volume, slice thickness, slice number, and actual volume of ROI in each TPS ( PrecisePlan:R2=0. 994, P<0. 01;Xio:R2=0. 997, P<0. 01;Oncentra:R2=0. 995, P<0. 01) . There were significant differences in all calculated ROI volumes of the head, chest and abdomen between the three TPS ( P<0. 05) except for the calculated ROI volumes of the chest and abdomen between Oncentra and Xio ( P=0. 114 ) . Conclusions The variations in volume calculation algorithm and slice thickness are the main causes of differences in calculated ROI volume. Particularly, small?volume ROIs have the greatest variation in calculated volume. To avoid a secondary reconstruction of ROI volume, it is recommended to transfer ROI back and forth between dose calculation workstations with the same TPS.

ObjectiveTo investigate the epidemiological traits and potential years of life lost associated with lung cancer mortality among inhabitants of Shanghai's Pudong New Area from 1995 to 2021， in order to serve as a reference for developing intervention approaches. MethodsThe death surveillance system was used to gather statistics on lung cancer deaths. Crude mortality rate （CMR）， standardized mortality rate （SMR）， potential years of life lost （PYLL）， average years of life lost （AYLL）， annual percent change （APC） of the lung cancer deaths were analyzed. The impact of age-structural and non-age-structural factors on changes in lung cancer mortality was quantified using difference decomposition. ResultsThe CMR and SMR of lung cancer among residents in Pudong New Area between 1995 and 2021 were 58.21/10⁵ and 26.75/10⁵， respectively. The CMR of lung cancer increased over the years （APC=1.91%， 95%CI=1.60%‒2.30%； Z=11.487， P<0.001）， and the SMR of lung cancer declined over the years （APC=-1.50%， 95%CI=-1.80%‒-1.20%； Z=-9.006， P<0.001）. Age structure factors and gender factors contributed to the increase of lung cancer mortality， while non-population age structure factors overall appeared to play a protective role which might be related to the improvements in factors such as tobacco control and environmental management. The PYLL of lung cancer was 160 296 person years， the PYLL rate was 2.24‰， and the AYLL was 3.86 years per person. ConclusionAge structure factors are a significant contributor to the disease burden and result in the increase in the crude lung cancer mortality rate of Pudong residents of shanghai. Comprehensive monitoring， preventive， and control methods should be implemented.

【Objective】 To understand the prevalence of overweight/obesity among school-age children in Pudong New Area of Shanghai, and to explore the influence of gestational weight gain and pre-pregnancy body mass index (BMI) on weight status of school-age children. 【Methods】 From November to December 2020,a stratified cluster sampling method was adopted to select first-grade students from 13 primary schools in Pudong New Area of Shanghai.After matching with the birth monitoring database, 755 students with complete birth information were selected as the study subjects.The relevant information of mothers before and during pregnancy was retrospectively collected, and the effects of pregnancy weight gain combined with pre-pregnancy BMI on overweight/obesity in school-age children were analyzed. 【Results】 1) The prevalence rates of overweight and obesity of first-grade children were 15.89% and 18.41%, respectively.2) Maternal excessive weight gain during pregnancy (OR=1.678) and overweight/obesity before pregnancy (OR=2.315,2.412) were risk factors for overweight/obesity of the offspring at school age(P<0.05).3) For mothers who were underweight before pregnancy, excessive weight gain during pregnancy was associated with overweight/obesity in school-age children in their offspring (OR=7.436, 95%CI: 1.489 - 37.143,P<0.05).4) Excessive weight gain during pregnancy combined with overweight/obesity before pregnancy significantly increased the risk of overweight/obesity in offspring (OR=3.606, 95%CI: 2.030 - 6.405, P<0.05). Mothers who gained a moderate amount of weight during pregnancy and were emaciated before pregnancy had a significantly lower risk of overweight/obesity in their school-age children (OR=0.217, 95%CI: 0.049 - 0.967, P<0.05). 【Conclusion】 Excessive weight gain during pregnancy increases the risk of overweight/obesity in school-age children in their offspring, strengthening pregnancy health education and perinatal care to help pregnant women maintain appropriate weight gain during pregnancy may be an important and novel strategy to prevent childhood obesity.