Objective To investigate the effects of insulin therapy on the mechanical behavior of solids,characteristics of fluid flow,and bone marrow stromal cells(BMSCs)differentiation in the distal femoral cancellous bone of type 2 diabetic rats under normal activity and vigorous exercise conditions.Methods The finite element models of cancellous bones and fluids in the distal femurs of rats in the control,diabetes,treatment,and placebo groups in 4-week and 8-week insulin treatment experiments under normal activity and vigorous exercise conditions were established based on micro-CT scanning images.The mechanical and cell differentiation parameters of the models in each group were analyzed using the fluid-solid interaction numerical simulation method.Correlations between mechanical,cell differentiation,and microstructural morphology parameters were also analyzed.Results Insulin therapy under normal activity and vigorous exercise conditions improved the solid and fluid mechanical parameters and BMSC differentiation parameters in type 2 diabetic rats.In the 4-week experiment,insulin treatment under normal activity and vigorous exercise conditions increased the differentiation areas of bone in type 2 diabetic rats from 64.024%to 69.372%and from 73.225%to 75.336%,respectively;in the 8-week experiment,insulin treatment under normal activity and vigorous exercise conditions increased the differentiation areas of bone in type 2 diabetic rats from 67.239%to 72.910%and from 76.147%to 78.291%,respectively.Morphological parameters BV/TV,Tb.N,Tb.Th,Tb.Sp,and structure model index were significantly correlated with the differentiation areas of the bone and cartilage(P<0.05).Conclusions Under vigorous exercise conditions,BMSCs on the surface of cancellous bone in the 8-week insulin treatment group were more likely to differentiate into bone tissue.This study is of great significance for further understanding the effects of insulin on the bone under normal activity and vigorous exercise conditions,and provides theoretical guidance for the selection of the insulin therapy cycle and exercise mode in the clinical treatment of type 2 diabetes.

Objective: To explore the risk factors of predicting white matter hyperintensities progression based on radiomics of MRI of whole-brain white matter. Methods: The imaging and clinical data of 152 patients with white matter hyperintensities admitted to Zhejiang People′s Hospital from March 2014 to October 2018 were retrospectively analyzed. The whole brain white matter on baseline T₁WI images of each patient were segmented by SPM12 software package, and images of white matter were imported into AK software for texture feature extraction and dimensionality reduction. At last, least absolute shrinkage and selection operator(LASSO) was used to calculate the score of radiomics signature of each patient. According to the improved Fazekas scale, patients with WMH progression were divided into three groups: any white matter hyperintensities (AWMH), periventricular white matter hyperintensities (PWMH) and deep white matter hyperintensities (DWMH). Statistical differences of clinical factors and radiomics signature between WMH progression subgroups and non-progression subgroups were compared with independent sample t test or Mann-Whitney U test, and Univariate logistic regression was used to select independent clinical risk factors and multivariate logistic regression along with imaging omics tags were used to construct predictive models, which was evaluated by ROC curve. And the correlation between the clinical indicators of independent risk factors and the texture feature of radiomics signature was analyzed. Results: The efficacy of the model for the detection for AWMH progression, PWMH progression and DWMH progression was 0.818,0.778 and 0.824, respectively. Age is an independent risk factor for AWMH progression and DWMH progression[OR(95%CI), 4.776(2.152-10.601) vs. 3.851(1.101-8.245); P<0.05]. BMI is an independent risk factor for DWMH[OR(95%CI), 3.004(1.204-7.370); P<0.05], and hyperlipidemia is an independent risk factor for AWMH and PWMH[OR(95%CI), 4.062(1.834-8.998) vs. 3.549(1.666-7.563); P<0.05]. In AWMH subgroup, Surface Area was negatively correlated with age and low density lipoprotein(LDL) (r=-0.401, -0.312), and Inverse Difference Moment_ALLDirection_offset 1_SD was negatively correlated with age(r=-0.412). In PWMH subgroup, Compactness 1 was negatively correlated with LDL(r=-0.198), and Inverse Difference Moment_angle 0_offset 7 was positively correlated with LDL(r=0.252). In DWMH subgroup, LongRunEmphasis_ALLDirection_offset 7 was negatively correlated with age(r=-0.322), and GLCMEntropy_angle0_offset 4 was negatively correlated with age(r=-0.278). GLCMEntropy_AllDirection_offset4 was negatively correlated with body mass index(r=-0.514). Conclusion Radiomics based on whole-brain white matter MR imaging can predict WMH progression and identify the risk factors in high-risk populations, thus providing early additional information to conventional magnetic resonance imaging to predict WMH progression.

Objective: To investigate the prognostic value of radiomics analysis in predicting axillary lymph nodes (ALN) metastasis of breast cancer based on dynamic contrast-enhanced MR imaging (DCE-MRI). Methods: One hundred and ninety-six patients with suspected breast cancer were prospectively collected for dynamic breast DCE-MRI. Enhanced MR imaging data of 72 axillary lymph nodes were evaluated separately by a chief radiologist and a resident, and the consistency analysis was performed. Lymph nodes were dichotomized according to the pathology results derived from operation or biopsy under real-time virtual sonography based on MRI data. Clinical and imaging data were also divided into corresponding groups. (Imaging) Data from both groups were respectively classified as training set and testing set by stratified sampling in proportion with 3∶1. AK software was applied to extract 6 major categories of 385 features (including histogram, morphology, texture parameters, gray level co-occurrence matrix, run-length matrix and grey level zone size matrix from imaging), and a set of statistically significant features were subsequently obtained by dimension reduction. The prediction model was established through binary classification logistic regression and employed to externally test the validation set by the method of confusion matrix. Meanwhile, ROC analysis was applied to assess the diagnostic performance of the model. Results: Of the 72 axillary lymph nodes, 35 were metastatic negative and 37 were positive. The consistency of enhanced MRI radiomics features was good, between 0.841 and 0.980. Uniformity, ClusterProminence_AllDirection_offset1_SD, Correlation_AllDirection_offset1, LongRunEmphasis_angle90_offset7 and SurfaceVolumeRatio were statistically significant differences (P<0.01), the area under the ROC between 0.747 and 0.931. In the training and testing group, the areas under the ROC, sensitivity, specificity and accuracy of the model were 0.953, 0.893, 0.926, 92.6% (50/54) and 0.944, 0.900, 1.000, 88.9% (16/18) respectively. Conclusion The prediction model based on radiomic features may provide a non-invasive and effective approach to the assessment of the risk of ALN metastasis of breast cancer.

Objective To investigate the correlation between carotid intima-media thickness (CIMT) and left atrial and left ventricular enlargement in patients with acute cerebral infarction. Methods A total of 224 patients with acute cerebral infarction were included. Based on the thickness of CIMT, it was divided into three groups which were normal CIMT group, thickening CIMT group, and carotid plaque (CP) group, with 57, 97, and 70 patients included respectively. Clinical data were collected, and carotid artery color Doppler ultrasound, cardiac color Doppler ultrasound and other examinations were determined to carry out relevant statistical analysis.Results The left anterior-posterior diameter (LAD) , left atrial diameter index (LADI) , left ventricular end-diastolic septal thickness (IVSD) , and left ventricular mass index (LVMI) in the CP group were all higher than those in the normal CIMT group and thickening CIMT group (P < 0.05). The percentage of the left ventricular end-diastolic diameter (LVEDD) and left ventricular ejection fraction (LVEF) took in the thickening CIMT group were both higher than those in the CP group (P < 0.05). Multi-factor logistic regression analysis indicated that there were statistically significant differences in age, homocysteine and left LVMI (P < 0.05). In the Pearson correlation analysis, CIMT and LADI were positively correlated (r= 0.184, P < 0.01) , and there was a positive correlation between CIMT and LVMI (r = 0.236, P < 0.01). Conclusions Left ventricular enlargement is one of the highrisk factors for CIMT abnormalities in patients with acute cerebral infarction. Left atrial and left ventricular enlargement are closely correlated to the severity of CIMT in patients with acute cerebral infarction, indicating that abnormal CIMT in patients with acute cerebral infarction has a certain predictive effect on left atrial and left ventricular enlargement.

When facing a sudden danger or aversive condition while engaged in on-going forward motion, animals transiently slow down and make a turn to escape. The neural mechanisms underlying stimulation-induced deceleration in avoidance behavior are largely unknown. Here, we report that in Drosophila larvae, light-induced deceleration was commanded by a continuous neural pathway that included prothoracicotropic hormone neurons, eclosion hormone neurons, and tyrosine decarboxylase 2 motor neurons (the PET pathway). Inhibiting neurons in the PET pathway led to defects in light-avoidance due to insufficient deceleration and head casting. On the other hand, activation of PET pathway neurons specifically caused immediate deceleration in larval locomotion. Our findings reveal a neural substrate for the emergent deceleration response and provide a new understanding of the relationship between behavioral modules in animal avoidance responses.

Objective To investigate the application value of solution focused brief therapy in the caring of patients with ulcerative colitis (UC). Methods A total of 180 active UC patients were assigned into control group (90 cases) and observation group (90 cases) using random number table. The two groups were given continuous nursing. For the observation group, the patients received the intervention of solution-focused brief therapy. SF-36 Health Survey (SF-36), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS) and treatment efficacy rate before and after the interventions were compared between the two groups. Univariate analysis was used to determine the related factors of effective treatment of UC. Results Before the intervention, there was no significant difference in the eight scales of SF-36 between the two groups (P>0.05). After the intervention, the eight scales of SF-36, ie, physical functioning, role limitations due to physical health problems, bodily pain, vitality, general health, social functioning, role limitations due to emotional health problems, and mental health were (70.0±20.9), (72.2± 16.3), (71.9 ± 21.7), (68.7 ± 18.2), (70.4 ± 19.3), (69.5 ± 20.4), (68.9 ± 19.3), (72.6 ± 19.7) points in the observation group, and (62.2 ± 18.7), (66.3 ± 18.8), (65.7 ± 15.2), (62.6 ± 17.4), (62.9 ± 14.9), (63.5 ± 14.6), (61.9±15.2), (64.1±14.5) points in the control group, and there was significant difference between the two groups (t=2.220-3.291, P<0.01). Before the intervention, there was no significant difference in SAS and SDS between the two groups(P>0.05). After the intervention, SASand SDS was (37.3±10.8), (36.8±10.6) points in the observation group and (41.0 ± 11.6), (41.3 ± 12.7) points in the control group, and there was significant difference between the two groups (t=2.215, 2.581, P<0.05) . The efficacy rate was 88.9％(80/90) in the observation group, and 73.3％(66/90) in the control group, and there was significant difference between the two groups (χ2=7.420, P=0.024). Solution focused brief therapy was the related factor of effective treatment in UC patients (χ2=7.107, P=0.008). Conclusions Solution focused brief therapy could improve the quality of life, reduce anxiety and depression, and increase the treatment efficacy in patients with UC, which was an effective intervention method with clinical application value.

OBJECTIVETo explore the application value of texture analysis of magnetic resonance images (MRI) in predicting the efficacy of neoadjuvant chemoradiotherapy(nCRT) for rectal cancer.

METHODSA total of 34 rectal cancer patients who were hospitalized at Zhejiang Provincial People's Hospital from February 2015 to April 2017 were prospectively enrolled and received 3.0T MRI examination at pre-nCRT (1 day before nCRT), early stage (at 10-day after nCRT) and middle stage (at 20-day after nCRT).

INCLUSION CRITERIAdistance from tumor lower margin to anal edge was less than 12 cm under rectoscope; rectal cancer was confirmed by preoperative pathology; clinical stage was T3 or above; lymph node metastasis existed but without distant metastasis; functions of liver, kidney and heart present no contraindications of operation.

EXCLUSION CRITERIAunfinished nCRT, surgery and three examinations of MRI; image motion artifacts; lack of postoperative pathological results. All the patients underwent rectal cancer long-term three-dimensional radiotherapy and chemotherapy combined with nCRT (oxaliplatin plus capecitabine). The tumor regression grading (TRG) was divided into TRG 0 to 4 grade after nCRT, and TRG 4 was classified as pathological complete remission (pCR); TRG 2 to 3 was classified as partial remission (PR); the rest was no remission (NR). Extraction and analysis of texture features in T2-weighted MR-defined tumor region were performed using Omni Kinetics texture software. The texture values of each time point were statistically analyzed, and the differences of texture values and change differences between pCR and PR+NR, and NR and pCR+PR were compared respectively. Statistically significant texture values were screened and were used in receiver operating characteristic (ROC) curve to assess the prediction of the efficacy of nCRT.

RESULTSOf 34 patients, 21 were males and 13 were females with median age of 49.3 years. Nineteen (55.9%) patients were low rectal adenocarcinoma and 15 (44.1%) patients were middle rectal adenocarcinoma. Nine (26.5%) cases belonged to pCR, 13 (38.2%) belonged to PR, and 12 (35.3%) belonged to NR. Before nCRT, the entropy of tumor area in pCR patients was significantly higher than that in PR+NR patients (7.164±0.272 vs. 6.823±0.309, t=2.925, P=0.006). At the middle stage of nCRT, as compared with PR+NR patients for the texture features of tumor region, the variance (1566±281 vs. 2883±867, t=-4.435, P=0.000) and entropy(5.436±0.934 vs. 6.803±0.577, t=-4.118,P=0.002) of pCR patients were significantly lower; kurtosis(4.800±1.288 vs. 3.206±1.211, t=3.333, P=0.002) and energy (0.016±0.005 vs. 0.010±0.004, t=3.240, P=0.003) of pCR patients were significantly higher. As compared to pCR+PR patients, the kurtosis(2.461±0.931 vs. 4.264±1.205, t=-4.493, P=0.000) and energy (0.011±0.004 vs. 0.014±0.004, t=-3.453, P=0.000) of the NR patients were significantly lower. As for texture change values between early stage and middle stage, the entropy difference was significant between pCR and PR+NR, NR and pCR+PR (1.344±0.819 vs. 0.489±0.319, t=3.047, P=0.014; 0.446±0.213 vs. 0.917±0.677, t=-3.638, P=0.001, respectively). As for texture change values between pre-nCRT and middle stage, variance and entropy differences between pCR and PR+NR (1759±1226 vs. 977±842, t=2.113, P=0.042; 1.728±0.918 vs. 0.524±0.355, t=3.832, P=0.004), and the change values of entropy between NR and pCR+PR (0.475±0.349 vs. 1.044±0.860, t=-2.722, P=0.011) were statistically significant. The above indicators were included in the ROC curve. The results revealed that at the middle stage, entropy value >5.983 indicated the best efficacy for the diagnosis of pCR, with the area under the ROC curve (AUC) of 0.885, the sensitivity of 100%, and the specificity of 66.7%; the energy <0.010 indicated the best AUC for diagnosis of NR was 0.902, with the sensitivity of 91.7% and specificity of 81.8%.

CONCLUSIONSTexture analysis based on T2 weighted images can predict the efficacy of nCRT for rectal cancer. The middle stage of nCRT is the best time of prediction. The entropy and energy of this period are texture parameters having higher predictive ability.

Chemoradiotherapy ; Female ; Humans ; Magnetic Resonance Spectroscopy ; Male ; Middle Aged ; Neoadjuvant Therapy ; Neoplasm Staging ; Predictive Value of Tests ; Prognosis ; Rectal Neoplasms ; diagnostic imaging ; therapy ; Treatment Outcome

OBJECTIVE:To compare the effectiveness and safety of low-molecular-weight-heparin(LMWH)calcium and rivar-oxaban in preventing lower extremity deep venous thrombosis (DVT) in the elderly patients after surgery of replacement of frac-ture. METHODS:A total of 58 elderly patients underwent hip or artificial femoral head replacement were randomly divided into LMWH group (29 cases) and Rivaroxaban group (29 cases). All patients received basic prevention and physical prevention for DVT after surgery. Based on this,LMWH group was given Heparin calcium injection 4100 IU subcutaneously 10 h after surgery, for 10 d. Rivaroxabar group was given Rivaroxaban tablet 10 mg 10 h after surgery,once a day,for consecutive 10 d. The occur-rence of DVT and positive D-dimer were observed in 2 groups after surgery. The PT,APTT,TT,FIB and platelet counts abnormal-ity were also observed in 2 groups. RESULTS:There was no statistical significance in the incidence of DVT,the occarrence of pos-itive D-dimer,PT,APTT,TT,FIB and platelet counts abnormality 4,10 d after surgery between 2 groups(P>0.05). CONCLU-SIONS:LMWH and rivaroxaban both can be used for lower extremity DVT in the elderly patients after replacement of fracture sur-gery of and have similar therapeutic efficacy and safety.

Objective: To investigate the role of clinical pharmacist in the treatment of patients with severe infections in urology department.Methods: An objective analysis of the important roles of clinical pharmacists was carried out by making and adjusting the anti-infective treatment plan of two patients in urology department.Results: During the participation in the treatment of two patients with severe infections in urology department, clinical pharmacists played important roles in the treatment of the diseases through observing the clinical symptoms,analyzing the conditions of the patients and giving the pharmaceutical opinions and suggestions, and finally the infections were controlled successfully.Conclusion: Clinical pharmacists should participate in the therapy strategy adjustment in urology department using their professional knowledge to play important roles in the management of anti-infection strategy for severe patients.

AIM:We investigated how AT 1-R stimulated by mechanical stresses induces cardiac fibrosis .METHODS:We produced in vivo cardiac pressure overload model in angiotensinogen knockout ( ATG-/-) mice and in vitro mechanically-stretched cell model in cultured neonatal cardiac cells of ATG-/-mice both lack the participation of Ang II .RESULTS: Pressure overload for 4 weeks in ATG-/-mice induced myocardial hypertrophy accompanied by the significant interstitial fibrosis , however , the TGF-β, a key regulatory factor of fibrosis, was not significantly increased in these ATG-/-mice.Meanwhile, the inhibitor for AT1-R significantly inhibited mechani-cal stress-induced cardiac fibrosis in these ATG-/-models whereas inhibition of TGF-βdid not.CONCLUSION:The results showed that mechanical stress-induced fibrotic responses through AT 1-R required the phosphorylation of Smad 2 but not the involvement of TGF-β.