Supported by various departments concerned of the district government, medical workers in Luwan District of Shanghai started in 1994 to set up in the whole district community based social help network for the medical care of SCGFD. In the last 4 years, the annual outpatient volume of SCGFD averaged 3.9 times and the annual visits received by SCGFD averaged 2.2 times. The conditions of 78.1% of SCGFD suffering from an illness turned for the better or became stable. The annual hospitalization utilization ratio averaged 5.4%. After hospitalization, 89.5% of SCGFD suffering from a serious illness fully recovered from their illness or were discharged after turning for the better. The average outpatient expenses per time, hospitalization expenses per day and per time of SCGFD respectively dropped 32.1%, 21.5% and 30.4%, as compared with the group of senior citizens enjoying free medical care. The authors hold that the social help network for the medical care of SCGFD in Luwan District is an easy to operate and effective community based medical security system for SCGFD. It has produced sound social repercussions after being put into practice. The controlled use of medical funds has ensured the normal operation of the network.

Hair ; Hair Follicle ; Humans ; Neoplasms ; diagnosis

Objective To evaluate the performance of ultrasonography (US) for the preoperative staging of papillary thyroid carcinoma (PTC). Methods One hundred and twenty-one patients with cytologically proven PTC were prospectively collected. Patients were recruited at the Chinese Academy of Medical Sciences Cancer Hospital from January 2014 to November 2014. Preoperative US was performed for the evaluation of primary tumor size, extrathyroidal extension and neck lymph node metastasis according to the 6th UICC TNM staging system. Results The sensitivity, specificity, positive predictive value (PPV) and negative predicative value (NPV) of US in predicting extrathyroidal extension were 89.6%(60/67), 72.2%(39/54), 80.0%(60/75), 84.8%(39/46), respectively. The accuracies of preoperative US for T1, T2, T3, T4 stage were 75.0%(36/48), 100%(1/1), 81.9%(59/72), 0, respectively. The sensitivity, specificity, PPV, and NPV of US in predicting neck lymph node metastasis were 47.5%(29/61), 90.0%(54/60), 82.9%(29/35), 62.8%(54/86), respectively. Conclusion Ultrasonography is a feasible tool for preoperative staging of PTC and is helpful for accurate prediction of extrathyroidal tumor extension and lateral neck lymph node metastasis.

Objective To evaluate the role of endorectal ultrasonography with coupling gel intrarectal filling in preoperative T stage of rectal cancer. Methods One hundred and fifteen patients with rectal cancer underwent endorectal ultrasonography with coupling gel intrarectal filling. The preoperative T stage according to ultrasonic manifestations was compared with histological findings. Results The total diagnostic accordance rate of preoperative T stage by endorectal ultrasonography with coupling gel intrarectal filling was 89.57%. The sensitivity of ultrasonography for T1, T2, T3 and T4 was 93.10%, 61.11%, 96.61%, 88.89%, while the specificity was 97.67%, 96.91%, 89.29%, 99.06%, respectively. The overstaging rate of ultrasonography was 6.96% (8/115), and the understaging rate was 3.48% (4/115). Conclusion Endorectal ultrasonography with coupling gel intrarectal filling is a valuable diagnostic method for T stage of rectal cancer.

Objective To evaluate the respiration-induced target volume motion in 3D-CRT for mid-thoracic esophageal carcinoma in order to guide the radiation oncologist to choose the expansion marginfor ITV.Methods Ten patients with mid-thoracic esophageal carcinoma were scanned by multi-spiral CTsimulator respectively in free breathing(FB),breath.hold after normal inspiration and expiration(IBH and EBH)with the same scanning range.Then the CT images of three series were transfefred to the treatmentplanning system.The target volume was outlined following the same standard.The motion of the centerpoint of GTV,the center point of each slice of GTV and the edge of the GTV in selected slice weremeasured respectively to obtain the comprehensive value of GTV motion。in order to find the appropriate IMvalue according to the 95％confidence interval of the GTV motion.Results①The GTV motion betweenIBH and EBH was(0.19±0.16)cm in the left.right direction,(0.54±0.19)cm in the cranial andcaudal irection.and(0.16±0.14)cm in anterior.posterior directions for the center of GTV,.For thecenter point of each slice of GTV.they ere(0.19±0.15)cm,(0.54±0.16)cm,(0.16±0.13)cm in three directions above.respectively.For the edge of the GTV in selected slice.they were(0.26±0.19)cm,(0.54±0.18)cm,(0.24±0.19)cm,respectively.The comprehensive value of GTV motion between IBH and EBH was(0.23±0.17)cm,(0.54±0.17)cm,(0.21±0.17)cm.respectively.The 95％confidence interval was 0.21-0.25 cm.0.53-0.56 cm and 0.19-0.22 cm in three directions.②The direction of GTV motion：No motion was noticed in 8.2％.while 73.3％to the right side and 18.5％to the left side in the left-right direction when IBH were compared with EBH.100％were moved to caudal in the the cranial and caudal direction[(0.54±0.17)cm].In the anterior-posterior direction,no motion was noticed in 8.2％,while 16.6％to the posterior and 75.2％to the anterior when IBH were compared with EBH.③The GTV motion was correlated with the vafiance of 1ung volumes in IBH-EBH(r=0.683,P=0.032)and not with GTV volume and length.Conclusions Respiration can induce target volume motion in 3 DCRT for mid-thoracic esophageal carcinoma.Compared to EBH.the GTV tends to move to the caudal,the anterior and the ight side in IBH.

Objective To evaluate the respiration-induced dosimetric variance in 3DCRT for midthoracic esophageal carcinoma, in order to guide the radiation oncologist to choose the expansion margin. Methods Ten patients with mid-thoracic esophageal carcinoma were scanned by multi-spiral CT simulator respectively in free breathing ( FB), breath-hold after normal inspiration and expiration ( IBH and EBH )with the same scanning range. Then the CT images of three series were transferred to the treatment planning system. The target volume was outlined following the same standard. Plan1 was designed in the images of FB and transported completely to the images of IBH and EBH as Plan2 and Plan3 respectively to observe the dosimetric variance in target volume. Results For GTV, there was a statistical difference only in V100 of the three plans ( H = 6.423, P = 0.040 ) and no significant difference was found in other indexes. For CTV, the V100 and V95 were better in Plan1 (F=3.992, P=0.030; H=9.920, P=0.007) and no significant difference was found in other indexes. While ()TV, the Dmin, V100 and V95 was better in Plan1 ( F = 3.677, P = 0.039; F = 4.539, P = 0.020; H = 6.846, P = 0.033 ) and no significant difference was found in other indexes. There were no significant differences in all the indexes for the spinal cord and lung in the three plans. Conclusions The change in dose distribution was not so much with the standard expansion. It can meet the needs of clinical treatment.

OBJECTIVE To investigate the dynamic changes in urine metabolic profiles in rats induced by D-galactose (D-Gal),and to study the correlations between the differential metabolites and behavior indicators using the proton nuclear magnetic resonance (1H-NMR)-based metabonomics.METHODS Subcutaneous injection of D-Gal 100 mg· kg-1 for 10 weeks was adopted in the model group.The sample of urine was collected at day 0 (dO),d14,d28,d42,d56 and d70.NMR metabonomics technique was used for acquisition of data,which was analyzed by multivariate statistical analysis.The ability of learning and memory were measured by Morris water maze test from d70.After the behavioral test,the rats were sacrificed and the hippocampus was observed by hematoxylin-eosin staining.RESULTS Principal component analysis (PCA) results revealed that there was considerable difference between the model group and the normal control group at d70.According to the varible importance plot (VIP) calculation and S-plot scores,a total of 12 metabolites were screened and identified as potential biomarkers at d70.The differences of metabolites and Morris water maze test were subjected to correlation analysis,and the results showed that the levels of choline,lactate and dimethylglycine in the model group were significantly increased and negatively correlated with the times of crossing the platform (r =-0.90,-0.50 and-0.52;n=10).Formate was significantly negatively correlated with the time spent in the target area (r =-0.51,n=10),but choline and formate were significantly positively correlated with the escape latency (r =0.72 and 0.53;n=10).However,the levels of creatine and taurine decreased in the model group,which was significantly positively correlated to the times of acrossing platforms (r =0.89 and 0.71;n=10),while alanine was significantly positively correlated to the time spent in the target area(r =0.74,n=10).Taurine,alanine and creatine were significantly negatively correlated with the escape latency (r =-0.66,-0.50 and-0.85;n=10).The correlations between the differential metabolites and the behavioral indicators were further proved.CONCLUSION The metabolic profile changes in urine from D-Gal induced aging model rats are significantly correlated with impairement of ability in learning and memory.1H-NMR metabonomics in urinary metabolic profile changes may be used as an evaluation index in the D-Gal induced aging rats model.

The present study aims to predict the action targets of antidepressant active ingredients of Xiaoyaosan to understand the "multi-components, multi-targets and multi-pathways" mechanism. Using network pharmacology, the reported antidepressant active ingredients in Xiaoyaosan (saikosaponin A, saikosaponin C, saikosaponin D, ferulic acid, Z-ligustilide, atractylenolide I, atractylenolide II, atractylenolide III, paeoniflorin, albiflorin, liquiritin, glycyrrhizic acid and pachymic acid), were used to predict the targets of main active ingredients of Xiaoyaosan according to reversed pharmacophore matching method. The prediction was made via screening of the antidepressive drug targets approved by FDA in the DrugBank database and annotating the information of targets with the aid of MAS 3.0 biological molecular function software. The Cytoscape software was used to construct the Xiaoyaosan ingredients-targets-pathways network. The network analysis indicates that the active ingredients in Xiaoyaosan involve 25 targets in the energy metabolism-immune-signal transmutation relevant biological processes. The antidepressant effect of Xiaoyaosan reflects the features of traditional Chinese medicine in multi-components, multi-targets and multi-pathways. This research provides a scientific basis for elucidation of the antidepressant pharmacological mechanism of Xiaoyaosan.

The purpose of this study is to evaluate the anti-aging effects and reveal the underlying mechanism of Scutellaria baicalensis Georgi ethanol extract (SBG) in D-galactose-induced rats. Fifty rats were randomly divided into five groups: vehicle control group, D-galactose group, and D-galactose combined with 50, 100, 200 mg x kg(-1) SBG. A rat aging model was induced by injecting subcutaneously D-galactose (100 mg x kg(-1)) for ten weeks. At the tenth week, the locomotor activity (in open-field test) and the learning and memory abilities (in Morris water maze test) were examined respectively. The urine was collected using metabolic cages and analyzed by high-resolution 1H NMR spectroscopy combined with multivariate statistical analyses. The SBG at doses of 50, 100 and 200 mg x kg(-1) treatments groups could significantly ameliorate aging process in rats' cognitive performance. The 50, 100, 200 mg x kg(-1) SBG regulated citrate, pyruvate, lactate, trimethylamine (TMA), pantothenate, β-hydroxybutyrate in urine favorably toward the control group. These biochemical changes are related to the disturbance in energy metabolism, glycometabolism and microbiome metabolism, which is helpful to further understanding the D-galactose induced aging rats and the therapeutic mechanism of SBG.