Objective To investigate the strengths and weaknesses of SPAIR and WE in iShim-IVIM of breast gland MRI scanning. Methods Twenty patients with breast tumor underwent iShim-IVIM and DCE-MRI scanning by SPAIR and WE technology. SNR ,CNR and ADC of the SPAIR-iShim and WE-iShim imaging were cal-culated and imaging quality were evaluated. Statistical analysis was done afterwards. Results The SNR and CNR of WE technology is higher than those of SPAIR statistically (P<0.05). There is no significant statistical differ-ence in score of the images between SPAIR and WE(P>0.05). The ADC of the center of the tumor has no signifi-cant statistical difference between SPAIR and WE(P>0.05). Conclusion The quality of the images using WE is significantly improved than SPAIR ,but both of them can meet the diagnostic requirements ,and the ADC has no statistical difference as well.

Objective: To examine the effects of obesity and central obesity on hypertension, so as to provide insights into the prevention and control measures of hypertension. Methods: From September to December 2018, residents at ages of 35 to 75 years were sampled using the multi-stage random sampling method in Baiyin District, Baiyin City, Gansu Province, and subjected to questionnaire surveys and physical examinations. The interaction between obesity/central obesity and hypertension was evaluated using logistic regression analysis. The synergy index ( SI ), relative excess risk due to interaction ( RERI ) and attributable proportion due to interaction ( AP ) were calculated using Excel compiled by Andersson et al. Results: A total of 6 246 questionnaires were allocated and 6 169 valid questionnaires were recovered, with an effective recovery rate of 98.77%. The respondents included 3 038 men ( 49.25% ) and 3 131 women (50.75%), with a mean age of ( 52.05±8.78 ) years. There were 832 respondents with obesity ( 13.49% ) and 2 278 with central obesity ( 36.93% ). The crude and standardized prevalence rates of hypertension were 35.89% and 33.05%, respectively. Multivariable logistic regression analysis showed that obesity ( OR=2.020, 95%CI: 1.705-2.393 ) and central obesity ( OR=1.622, 95%CI: 1.433-1.836 ) were statistically associated with hypertension. There was no multiplicative interaction between obesity or central obesity and hypertension ( OR=1.011, 95%CI: 0.655-1.560 ), and no additive interaction was detected between obesity or central obesityand hypertension ( SI=1.405, 95%CI: 0.815-2.424; RERI=0.658, 95%CI: -0.298 to 1.614; AP=0.201, 95%CI: -0.075 to 0.476 ). Conclusions Obesity and central obesity increase the risk of hypertension; however, no interaction is detected between obesity or central obesity and hypertension.