1.Adjustments and countermeasures of China's medical foreign investment policy
Chinese Journal of Health Policy 2017;10(9):75-80
Since the reform and opening up, the government of China has continuously adjusted its foreign medical policy and vigorously guided foreign investment to set up medical institutions in pilot provinces and cities. Based on healthy China 2030 plan, the paper summed up the foreign medical policy adjustment's process from its establishment, stagnation, and development to reform in China. The government of China liberalizes the market for foreign medical gradually, but the foreign medical institution is facing a series of bottlenecks, such as the lack of le-gal regulations, the cumbersome of approval procedures, and the limit of development and so on. The development of foreign medical care should be under the guidance of the country's legal and policy. Foreign medical institution can carry out some special medical care to improve the health of the residents.
2.Correlation between standardized uptake value and intravoxel incoherent motion parameters of cervical squamous cell carcinoma with 18F-FDG PET/MR
Siyao DU ; Hongzan SUN ; Le ZHANG ; Jun XIN ; Kaining SHI ; Qiyong GUO
Chinese Journal of Nuclear Medicine and Molecular Imaging 2018;38(4):229-233
Objective To assess the correlation between standardized uptake value (SUV) and intravoxel incoherent motion (IVIM) parameters of primary cervical squamous cell carcinoma (CSCC) and pelvic metastatic lymph nodes in the use of hybrid PET/MR.Methods Forty-six CSCC patients in Shengjing Hospital from January 2015 to December 2015 were prospectively enrolled and divided into well-differentiated (G1) group,moderate-differentiated (G2) group and poorly-differentiated (G3) group.PET/MR examination with the multi-b-value diffusion-weighted imaging (DWI) sequence was performed before treatment.Maximum SUV (SUVmax) and mean SUV (SUVmean) were calculated.IVIM parameters,including the slow diffusion coefficient (D),fast diffusion coefficient (D*),perfusion fraction (f) were also measured.Pearson correlation analysis was used to evaluate the correlation between IVIM parameters and SUV(SUVmax,SUVmean).Results The D of G1,G2,G3 lesions and metastatic lymph nodes were (0.827± 0.232) × 10-3,(0.640±0.153) × 10-3,(0.563±0.090) × 10-3 and (0.772±0.246) × 10-3 mm2/s respectively.The f was 0.310±0.068,0.348±0.073,0.287±0.057 and 0.413±0.103 respectively.The D* was (9.241± 2.001) × 10-3,(9.408± 1.927) × 10-3,(9.715± 1.827) × 10-3 and (8.830± 1.632) × 10-3 mm2/s respectively.The SUVmax was 9.988±3.806,12.941±5.990,14.543±7.050 and 9.890±3.906 respectively.The SUVmean was 5.717±2.830,7.094±3.518,8.263±4.124 and 4.952±1.343 respectively.The D of G1 and G2 lesions had negative correlations with SUVmax and SUVmean(G1,r values:-0.816,-0.842;G2,r values:-0.528,-0.559;all P<0.05);the f of G2 lesions had positive correlations with SUVmax and SUV (r values:0.554,0.550,both P<0.05).Conclusions The SUVmax and SUV of the well-moderate differentiated CSCC are consistent with D and f,which reflect the cell density and the microvascular perfusion.PET/MRIVIM could provide important complementary information for treatment-monitoring and prognostic assessment of patients with cervical cancer.
3.The value of synthetic MRI in identifying different molecular types of breast cancer and triple negative and non triple negative breast cancer
Ruimeng ZHAO ; Siyao DU ; Liangcun GUO ; Guoliang HUANG ; Xixun QI ; Shu LI ; Lina ZHANG
Chinese Journal of Radiology 2022;56(6):636-642
Objective:To investigate the value of synthetic MRI quantitative parameters in identifying different molecular types of breast cancer and triple negative breast cancer (TNBC) and non-TNBC.Methods:A retrospective analysis was performed on 208 patients diagnosed with invasive ductal breast cancer in the First Affiliated Hospital of China Medical University from March 2019 to September 2020. All patients underwent synthetic MR examinations and the following quantitative parameters were measured, including tumor diameter, volume, apparent diffusion coefficient (ADC), and corresponding values of T 1, T 2, and proton density (PD). According to the immunohistochemical results, there were 122 cases of progesterone receptor (PR) positive and 86 cases of PR negative, 123 cases of estrogen receptor (ER) positive and 85 cases of ER negative, 79 cases of human epidermal growth factor receptor-2 (HER2) positive and 129 cases of HER2 negative, 149 cases of Ki-67 high expression and 59 cases of Ki-67 low expression; there were 36 cases of TNBC and 172 cases of non-TNBC. Independent samples t test or Mann-Whitney U test were used to compare the quantitative parameters of different molecular types, TNBC and non-TNBC patients. Multivariate logistic regression was used to analyze independent predictors of TNBC, and receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of sole and combined parameters in identifying TNBC. Results:T 1 and T 2 values in PR negative breast cancer patients were higher than those in PR positive patients ( t=2.30, Z=2.04, P<0.05); the values of T 1 and T 2 in ER negative patients were higher than those in ER positive patients ( t=2.52, Z=2.48, P<0.05); ADC value and tumor diameter of HER2 positive patients were larger than those in HER2 negative patients ( t=-3.21, Z=-3.22, P<0.05). T 2 value, tumor volume and diameter in patients with Ki-67 high expression were significantly higher than those in patients with Ki-67 low expression ( Z=-3.47, -2.51, -2.84, P<0.05); ADC value in Ki-67 high expression group was less than that in Ki-67 low expression group ( t=3.94, P<0.001). T 1, T 2 values and tumor volume in TNBC patients were higher than those in non-TNBC patients ( t=-3.26, Z=-5.58, Z=-2.02, P<0.05], and ADC value in TNBC patients was lower than that in non-TNBC patients ( t=3.07, P=0.002). Multivariate logistic regression analysis showed that T 2 (OR=1.060, 95%CI 1.028-1.093, P<0.001) and ADC value (OR=0.947, 95%CI 0.911-0.984, P=0.005) were independent predictors of TNBC. The efficacy of each parameter alone and in combination to identify TNBC showed that the T 2 value in the single parameter had the largest AUC (0.759), and there was no significant difference between T 2 value and its combined parameters in the diagnosis of TNBC. Conclusions:The quantitative parameters based on synthetic MRI, especially T 2 value, have value in differentiating different molecular types of breast cancer, TNBC and non-TNBC may be another non-contrast parameter for evaluating tumor aggressiveness beyond ADC value.