Transcatheter arterial chemoembolization (TACE) has already been a mature and an effective treatment for advanced hepatocellular carcinoma (HCC).Clinically,it is very important to quickly and accurately evaluate the postoperative curative effect with minimally invasive technique so as to determine the next treatment options.At present,postoperative conventional CT and MRI are the main means to assess the curative effect of TACE,but it is a pity that after the treatment the functional changes of the tumor occur earlier than the morphological changes.In recent years,functional MRI techniques,such as diffusionweighted imaging (DWI),multi-b value DWI,dynamic contrast-enhanced (DCE) imaging,etc.have been more and more used for quantitative evaluation of the diffusion of water molecules and the blood microcirculation perfusion within the tumor tissue,and some progresses have been achieved in the evaluation of curative efficacy for tumor.This paper aims to make a comprehensive review about the research progress of the above mentioned functional imaging methods as well as their current application status in evaluation of the curative effect of TACE.

Objective To explore the value of magnetic resonance perfusion imaging of 3D arterial spin labeling(3D-ASL)in the diagnosis of transient ischemic attack(TIA).Methods 78 of patients were diagnosed TIA on MR routine scan [T1 WI,T2 WI,T2-FLAIR,diffusion weighted imaging(DWI)],magnetic resonance angiography(MRA)and 3D arterial spin labeling(3D-ASL).The re-sult were analyzed by Chi-square test.Results In 78 patients,the abnormal routine scan was 0 case(0%);abnormal MRA 41 cases (52.6%);abnormal 3D-ASL 47 cases(60.2%);combination with each other were 60 cases(76.9%).29 cases with artery stenosis and abnormal ASL,12 case with artery stenosis and normal ASL,19 cases with normal vascular and abnormal ASL,18 cases with normal vascular and normal ASL.Conclusion 3D-ASL is better than routine magnetic resonance sequences in the diagnosis of TIA,which is convenient and should be a routine scanning sequence of TIA.3D-ASL,MRA and DWI have their own advantages and disadvantages, combination use can improve the diagnosis accuracy of TIA.

Objective:To investigate the value of radiomics based on unenhanced CT texture analysis in predicting the WHO/International Society of Urological Pathology (ISUP) grading of clear cell renal cell carcinoma (ccRCC).Methods:Postoperative pathology-confirmed ccRCC subjects ( n=90) who received CT scanning and had a definite pathological grading in Cancer Hospital of the University of Chinese Academy of Sciences were collected retrospectively from December 2016 to May 2019. The cases were randomly divided into training group ( n=63) and test group ( n=27) as a ratio of 7∶3. All cases were classified into low grade (grades Ⅰ and Ⅱ, n=57) and high grade (grades Ⅲ and Ⅳ, n=37) according to the new pathological grading (WHO/ISUP grading, version 2016) of renal carcinoma. 3D-ROI segmentation was performed on unenhanced CT images and 93 texture features were extracted. The least absolute shrinkage and selection operator (LASSO) regression was used to reduct dimension of texture parameters and then the radiomics score (Rad-score) was established. The logistic regression was used to develop the prediction model with the pathological grading as the gold standard. The ROC curve and calibration curve were used to evaluate the predictive performance of the model, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Hosmer-Lemeshow test was used to evaluate calibration degree of the model. Results:The 10 non-zero coefficient texture features were screened out through dimension reduction steps. The Rad-score was formed according to the linear combination of these ten features and corresponding coefficients, and then the prediction model was developed. The AUC of the model in training group was 0.933 (95%CI 0.862-1.000), the sensitivity was 92.3%, the specificity was 89.2%, and the model accuracy was 90.5%. The calibration curve showed the good calibration ( P=0.257). The AUC value in test group was 0.875 (95%CI 0.734-1.000), the sensitivity, specificity and accuracy were 72.7%, 87.5% and 81.5%. The calibration curve showed the good calibration ( P=0.125). Conclusion:The radiomics prediction model based on unenhanced CT texture analysis have application potential for the evaluation of WHO/ISUP grading of ccRCC.

Objective To explore the value of the minimum apparent diffusion coefficient (ADC-min) value in the diagnosis of ductal carcinoma in situ (DCIS) and invasive cancer of breast.Methods One hundred and forty nine cases of breast cancer verified by histopathology were included in this retrospective study.All the patients underwent dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) and diffusion weighted imaging (DWI) before the biopsy.The ADC min value and its correlation with invasive ductal carcinoma(IDC),DCIS and IDC-DCIS were analyzed.Results The mean ADC-min values for IDC,IDC-DCIS and DCIS were (0.95±0.16)×10-3 mm2/s,(1.07±0.13)×10-3 mm2/s and (1.24±0.18)×10-3 mm2/s,respectively.The ADC-min value of the three groups showed an increasing trend and there were significant differences (F=32.08,P＜0.01).The optimal cutoff ADC-min value was 1.02 × 10-3 mm2/s to differentiate DCIS from invasive cancer with a sensitivity of 95.0％ and a specificity of 63.6％.Conclusion The ADC min values are significantly different among IDC,IDC-DCIS and DCIS.It may be used as a reliable tool to differentiate DCIS and invasive cancer of breast.

Objective To discuss the application of routine CT three-phase perfusion parameter,that is arterial enhancement fraction (AEF) value,in evaluating the curative effect of transcatheter arterial chemoembolization (TACE) for hepatocellular carcinoma (HCC).Methods The clinical data of a total of 30 patients with pathologically proved HCC were enrolled in this study.Routine CT three-phase perfusion scan was performed 1-3 days before as well as 30-40 days after TACE in all patients.AEF value was calculated by using CT Kinetics software (GE Healthcare).The formula for calculating AEF value was as follows:AEF value=(arterial phase CT value-plain scan CT value)÷(portal phase CT value-plain scan CT value).The results were statistically analyzed.Results Effective treatment group had 17 patients,and ineffective treatment group had 13 patients.The postoperative AEF values in the effective treatment group and the ineffective treatment group were (0.351±0.090) and (0.438±0.050) respectively,the difference between the two groups was statistically significant (P＜0.05).Taking postoperative AEF value of 0.392 as the critical value to predict the postoperative effect of TACE,the sensitivity and specificity were 86.7％ and 73.2％ respectively,and the area under the curve was 0.876 (P＜0.001).Conclusion The routine CT three-phase perfusion parameter (AEF) can quantitatively reflect the hemodynamic changes of HCC after TACE,which is helpful for making early evaluation of TACE effect,meanwhile,no additional radiation dose will be added.

Objective To explore the value of CT radiomics model in predicting three-year survival time in patients with primary hepatocellular carcinoma (HCC). Methods Eighty one patients pathologically or clinically confirmed HCC and B stageof Barcelona clinical liver cancer before transcatheter arterial chemoembolization (TACE) in Zhejiang Cancer Hospitalwere retrospectively enrolled from January 2010 to June 2014.A primary cohort consisted of 64 patients and an independent validation cohort consisted of 17 patients. The patients were divided into survival group of 39 cases and death groupof 42 cases duringthree-year follow-up. All the patients underwentnon-enhanced and contrast-enhanced CTimages scan before TACE. Three hundered and seventy six quantization radiomics features were extracted from the arterial phase and portal phase CTimages of target lesion. LASSO regression model was used for data dimension reduction. Logistic regression was used to develop the prediction model. The predictive ability of the model was validated using the area under the curve (AUC) of receiver operating characteristic(ROC) analysis. Results The radiomics features selected from the arterial and portal phase were 8 and 5, respectively. The arterial prediction model showed AUC=0.833, sensitivity=83.9％(26/31), specificity=81.8％(27/33), accuracy=82.8％(53/64)in primary datasetand AUC=0.861, sensitivity=75.0％(6/8), specificity=100.0％(9/9), accuracy=88.2％(15/17)in independent validation dataset.The portal prediction model showed AUC=0.858, sensitivity=83.3％(25/30), specificity=85.3％(29/34), accuracy=84.4％(54/64)in primary dataset and AUC=0.750, sensitivity=75.0％(6/8), specificity=100.0％(9/9), accuracy=88.2(15/17)in independent validation dataset. Conclusion This study shows CT radiomics model can be conveniently used to facilitate the preoperative individualized prediction of three-year survival time in patients with HCC.

Objective: To explore growth and intelligence development of low birth weight infants (LBWI) at 24 and 36 months of age, so as to provide reference for early monitoring and intervention of the development of LBWI. Methods: A total of 100 LBWI born and managed in Hefei Maternal and Child Health Care Institution were selected from 2012 October 1 to 2015 December 30, and 99 normal birth weight infants (NBWI) under child health management in the same sitinstitution were selected as controls. According a prospective cohort study method, and based on the establishment of a cohort and monitoring of childhood growth and development, a unified method was used to longitudinally follow up and observe the physical fitness of two groups of infants at the determined time points. The development of LBWI and NBWI at 24 and 36 months of age was surveyed using the Gesell Development Scale. Results: Weight, length and head circumference of LBWI children at the age of 15-36 months were significantly lower than those of NBWI children ( P <0.05). In addition, 117 children (43.98%) completed the full assessment of intelligent development scale, including 62 LBWI and 55 NBWI. The scores of Gesell in NBWI group was higher than that in LBWI group at 24 and 36 months of age, including adaptability, gross motor, fine metor skills, language and personal social functions ( t =-4.17, -3.82, -3.21 , -3.03, -2.61; -4.23, -3.16, -3.07, -3.13, -3.99, P <0.05). Multivariate linear regression analysis found that birth weight was positively correlated with adaptability, gross motor, fine motor skills, language functions at 24 and 36 months of age and personal social function at 36 months of age ( β =0.004, 0.010; 0.003, 0.008; 0.003, 0.007; 0.004, 0.009; 0.011, P ＜0.05). Conclusion The growth and development of LBWI children are significantly delayed compared to NBWI children. The scores of LBWI children are lower than those of NBWI children in all functional areas. Weight is the main factor affecting children s intellectual development. Early monitoring and intervention of low birth weight infants should be carried out to avoid or mitigate adverse consequences.

Objective:To examine the efficacy of systematic family intervention (a parent-implemented early start Denver model, P-ESDM) on toddlers at high risk of autism spectrum disorders (IHRASD) who were aged 1 to 2.Methods:The developmental screening for infants aged 1-2 years in Hefei city was performed by using the standardized screening method.The monitoring network of referral-assessment-P-ESDM guidance-follow up-early intervention effect assessment was conducted on the screened children with positive results.A total of 110 patients with IHRASD aged 1 to 2 years were detected.Sixty-three cases that met the inclusion criteria and volunteered to take part in this study were divided P-ESDM group (31 cases) and the control group (32 cases). They were assessed before intervention, 3 and 6 months after intervention separately.Parents of the patients in the P-ESDM group attended 12 weeks of family intervention training courses, 1 hour per week, while parents of the patients in the control group rejected interventions available from us.Results:The proportion of fathers with college degree or above (71.0% vs.43.8%, χ2=7.315, P=0.026) and proportion of mothers with high school/secondary school degree or above (83.9% vs.65.6%, χ2=5.264, P=0.072) were significantly higher in the P-ESDM group than in the control group.Three months after intervention, the P-ESDM group showed decreased Aberrant Behavior Checklist (ABC) scores [29.0(20.0, 45.0) scores vs.48.0(33.0, 50.0) scores, Z=-2.298, P=0.022]and increased Infant-Junior Middle School Social Adaptive Capacity Scale (SM) scores[ 10.0(9.0, 10.0) scores vs.9.0(8.0, 10.0) scores, Z= -2.045, P=0.041], compared with the control group.No significant improvement was found by the Gesell tests in the development quotients (EQs) of five energy areas, namely, the adaptive energy area [(83.86±18.03) scores vs.(75.34±10.49) scores, t=1.734, P=0.090], big movement energy area [(90.24±10.79) scores vs.(85.20±8.97) scores, t=1.595, P=0.118], fine movement energy area [(85.18±14.99) scores vs.(83.41 ± 9.28) scores, t=0.429, P=0.670], language energy area [(59.28±15.01) scores vs.(51.09±9.37) scores, t=1.981, P=0.054] and individual-society energy area [(67.13±14.86) scores vs.(63.50±7.85) scores, t=0.908, P=0.369]. Twelve months after intervention, the P-ESDM group demonstrated significantly decreased ABC scores[20.0(12.0, 33.0) scores vs.45.0(32.3, 52.8) scores, Z=-3.783, P=0.000], increased SM scores[10.0(9.0, 10.0) scores vs.9.0(8.3, 10.0) scores, Z=-2.974, P=0.003], increased EQ of adaptive energy area [(80.83±17.20) scores vs.(72.34 ± 13.18) scores, t=2.203, P= 0.031], increased EQ of the individual-society energy area[(71.87±17.30) scores vs.(62.18±13.91) scores, t= 2.454, P= 0.017]and increased EQ of the language energy area[(68.96±19.93) scores vs.(53.42±14.88) scores, t= 3.515, P= 0.001], compared with the control groups. Conclusions:Early screening, diagnosis, and P-ESDM intervention can improve the outcome of young children aged 1 to 2 years at high risk of ASD.P-ESDM intervention for 12 months demonstrates obvious effects in patients with IHRASD.

Enteral nutrition plays an irreplaceable role in the nutritional treatment of critically ill patients. In order to help clinical medical staff to manage the common complications during the implementations of enteral nutrition for critically ill patients, the consensus writing team carried out literature retrieval, literature quality evaluation, evidence synthesis. Several topics such as diarrhea, aspiration, high gastric residual volume, abdominal distension, etc. were assessed by evidence-based methodology and Delphi method. After two rounds of expert investigations, Expert consensus on prevention and management of enteral nutrition therapy complications for critically ill patients in China (2021 edition) developed, and provided guidance for clinical medical staff.

Objective To explore the interaction of smoking and diabetes on stroke.Methods In this case-control study,a face to face questionnaire survey was conducted.Logistic regression models were used to analyze the relationship between smoking or diabetes and stroke.The indicators of interaction were calculated according to the Bootstrap method in this study.Results A total of 918 cases and 918 healthy controls,who participated in the chronic disease risk factor survey in Xuzhou in 2013,were included in this study.Logistic regression analysis found that cigarette smoking was associated with stroke (OR=1.63,95％ CI:1.33-2.00),and diabetes was also associated with stroke (OR=2.75,95％CI:2.03-3.73) after adjusting confounders.Compared with those without diabetes and smoking habit,the odds ratio of stroke in those with diabetes and smoking habits was 8.94 (95％CI:3.77-21.19).Diabetes and smoking combined interaction index was 3.65 (95％CI:1.68-7.94),the relative excess risk was 5.77 (95％ CI:0.49-11.04),the attributable proportion was 0.65 (95％ CI:0.42-0.87).Conclusion The results suggest that there are additive interactions between smoking and diabetes on stroke.