Objective To prepare 99Tcm-B2-S22-AFA (99Tcm-TP1623)and investigate its biodistribution and kinetic imaging in healthy animals.Methods TP-1623 was synthesized and labeled indirectly by 99Tcm using stannous chloride as the reductive agent.The labeling rate was determined with chromatography using Whatman 3MM filter paper and by calculating the specific activity.The biodistribution of 99Tcm-TP1623 was tested at 1,5,10,30,60,120 min after intravenous injection into mice.According to the SPECT images and the time response of the radioactivity in the region of interest (ROI),the dynamic distribution of 99Tcm-TP1623 was assayed.Results The radiolabeling rate of 99Tcm-TP1623 was (96.4-± 0.1) ％ and the specific activity was (24.35 ± 0.06) TBq/mmol.After being conserved at room temperature for 4 h,the radiochemical purity of 99Tcm-TP1623 was (95.03 ± 0.97) ％.The oil-water distribution coefficient was-(2.51 ± 0.15).The bio-distribution test showed that the radioactivity in mice blood disappeared very fast over time by a quick excretion through renal.Meanwhile,the radioactivities in the heart,lung,liver,muscle and bone of mice decreased gradually along time and after 60 min they approached to the lowest levels.The radioactivity in brain always kept at a low level,but the radioactivity in intestinal increased slowly.For rabbits,the SPECT images showed that the radioactivity in blood disappeared quickly and the radioactivities were eliminated through kidneys.Meanwhile there were excretion images in gallbladder and intestinal,but no obvious nuclide accumulation in thyroids and stomach,and low radioactivity in brain as well.Conclusions 99Tcm-TP1623 is easy to prepare and has a high radiolabeling efficiency and good stability in vivo and in vitro,and it has excellent dynamic characteristics in normal animals.

The target therapeutic agents of HER-2 extracellular ligand-binding domain have become the core of breast cancer research. A small peptide molecule and an anti-HER2 extracellular domain monoclonal antibody conjugated with protein toxins, radioisotopes, and chemotherapeutic drugs (immunoconjugate) can improve efficacy and reduce systemic toxicity. Vaccines based on HER-2 extracellular region should protect patients from HER-2-overexpressing breast cancer growth. In this review, studies on targeted-block therapies of the HER-2 extracellular ligand-binding domain in breast cancer were discussed to provide references for clinical applications.

Objective To investigate the clinical effect of application of dezocine combined with sufentanil in patients under‐going thoracic surgery ,and discuss its security .Methods Selected 60 cases of patients undergoing thoracic surgery treatedn in the hospital from January to June 2013 ,then divided into two groups with 30 cases in each group randomly .ASA grade Ⅰ - Ⅱ ,the ob‐servation group took dezocine combined with sufentanil after the surgery ,the control group took sufentanil for analgesia ,then ob‐served the analgesia and sedative effect and the occurrence rate of adverse reaction between two groups of patients .Results The observation group′VAS pain score on postoperative 6 ,12 ,24 ,48 h were (3 .21 ± 0 .76)% ,(3 .01 ± 0 .77)% ,(2 .79 ± 0 .69)% , (2 .67 ± 0 .66)% and significantly better than the control group(P<0 .05);The observation group′Ramsay sedation score on post‐operative 6 ,12 ,24 ,48 h were (2 .12 ± 0 .23)% ,(2 .07 ± 0 .22)% ,(2 .02 ± 0 .24)% ,(2 .01 ± 0 .21)% ,the sedative effect was better than the control group(P<0 .05);48 h after the surgery the pressing times and effective analgesia pump frequency and adverse re‐action of the patients in the observation group were lower than that of the control group(P<0 .05) .Conclusion The effect for se‐dation and analgesia of dezocine combined with sufentanil in patients undergoing thoracic surgery is better and safe .

Objective To discuss the influence of special nursing intervention for the quality of life of outpatients with chronic pelvic inflammatory disease. Methods Divided 80 patients into the observation group and the control group randomly, there were 40 cases in each group. Routine nursing, treatment and disease-related lecture were used in both the groups, while the combined therapy of Chinese and Western medicine was used in the observation group in addition. Evaluated the quality of life and the effects of treatment by the World Health Organization′s quality of surviving chart between the two groups after 3-month intertention and 6-month follow-up. Results The scores of quality of environment field, physiology field ,psychological field, sociological field, independence field and mental field in the observation group was (70.33+16.85 ) (70.38+18.80), (71.43+18.28),(70.13+19.08), (73.10+17.70) and (75.38+7.30) respectively, while in the control group was (61.38+16.17), (56.70+17.69), (43.13+19.77), (55.00+19.08), (53.75+16.45) and (49.80+17.26) respectively, the difference between the two groups was significant, the t values were 2.424-8.631, P < 0.05. The effective rate of treatment in the observation group was 95.00%(38/40), while in the control group was 82.5%(33/40), the difference was significant, U=2.507, P < 0.05. Conclusions Special nursing intervention can promote the quality of life ,effects of treatment and the satisfaction of treatment in outpatients with chronic pelvic inflammatory disease, improve their psychological state and the compliance.

Most of the existing near-infrared noninvasive blood glucose detection models focus on the relationship between near-infrared absorbance and blood glucose concentration, but do not consider the impact of human physiological state on blood glucose concentration. In order to improve the performance of prediction model, particle swarm optimization (PSO) algorithm was used to train the structure paramters of back propagation (BP) neural network. Moreover, systolic blood pressure, pulse rate, body temperature and 1 550 nm absorbance were introduced as input variables of blood glucose concentration prediction model, and BP neural network was used as prediction model. In order to solve the problem that traditional BP neural network is easy to fall into local optimization, a hybrid model based on PSO-BP was introduced in this paper. The results showed that the prediction effect of PSO-BP model was better than that of traditional BP neural network. The prediction root mean square error and correlation coefficient of ten-fold cross-validation were 0.95 mmol/L and 0.74, respectively. The Clarke error grid analysis results showed that the proportion of model prediction results falling into region A was 84.39%, and the proportion falling into region B was 15.61%, which met the clinical requirements. The model can quickly measure the blood glucose concentration of the subject, and has relatively high accuracy.
Algorithms ; Blood Glucose ; Humans ; Neural Networks, Computer

The use of non-invasive blood glucose detection techniques can help diabetic patients to alleviate the pain of intrusive detection, reduce the cost of detection, and achieve real-time monitoring and effective control of blood glucose. Given the existing limitations of the minimally invasive or invasive blood glucose detection methods, such as low detection accuracy, high cost and complex operation, and the laser source's wavelength and cost, this paper, based on the non-invasive blood glucose detector developed by the research group, designs a non-invasive blood glucose detection method. It is founded on dual-wavelength near-infrared light diffuse reflection by using the 1 550 nm near-infrared light as measuring light to collect blood glucose information and the 1 310 nm near-infrared light as reference light to remove the effects of water molecules in the blood. Fourteen volunteers were recruited for
Blood Glucose ; Diabetes Mellitus ; Humans ; Nonlinear Dynamics