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Objective To explore the applicability of the childhood autism spectrum test (CAST) of children in Mainland China according to autism screening,in order to provide the effective reference for the identification and diagnosis of autism spectrum disorders of children.Methods Two hundreds and fifty-two typical developing children,and 61 autistic children who were confirmed by psychological clinic of Child Healthcare Clinic,Shenzhen Luohu District Maternal and Child Health Care Hospital who were conformed with diagnosis standards of Diagnostic and Statistical Manual of Mental Disorders Fifth Edition(DSM-5) by using CAST Chinese version were assessed,and the reliability and validity analysis were made on the CAST scale.The receiver operating characteristic curve was drew to determine the optimal threshold value,and the sensitivity,specificity and positive predictive value were calculated.Results CAST Chinese version had good reliability,Cronbach's α was 0.880.Split-half reliability coefficient r was 0.821,and the whole scale calibration reliability coefficient was 0.902.There was statistically significant difference between items and the total score(P＜0.05).The consistency between the CAST ≥4 years old children and diagnosis standards of DSM-5 reached 0.884(P=0.000).The consistency 3-＜4 years old children and diagnosis standards of DSM-5 reached 0.867 (P=0.000).Among the screening of the children who were ≥4 years old,the cut off was 15 scores that the sensitivity and specificity were best.With the children of 3-＜4 years old,a designated cut-point should be 17 scores.Conclusions There are good reliability and validity of CAST,which can be used to mainland China,as well as to screen autistic children more than 3 years old.
ABSTRACT
<p><b>BACKGROUND</b>Rat renal transplantation is an essential experimental model and requires greater microsurgical skills. Thus, training novices to perform quick and reliable microvascular anastomosis is of vital importance for rat renal transplantation. In this study, we developed and evaluated a staged microvascular anastomosis training program for novices, harvesting and transplanting both kidneys from one rat donor.</p><p><b>METHODS</b>Five trainees without any prior microsurgical experience underwent a training program in which the goals were staged according to difficulty. Each trainee had to achieve satisfactory results as evaluated by a mentor before entering the next stage. Rat renal transplantation was accomplished by end-to-end technique with a bladder patch. In the intensive rat renal transplantation stage, the trainees required an average of 20 independent attempts at isotransplantation as final training assessment.</p><p><b>RESULTS</b>After 2 months of intensive practice, all trainees had achieved stable and reproducible rat renal transplantation, with a satisfactory survival rate of 85.9% at postoperative Day 7. The total mean operative time was 78.0 minutes and the mean hot ischemia time was 26.2 minutes. With experience increasing, the operative time for each trainee showed a decreasing trend, from 90-100 minutes to 60-70 minutes. After 20 cases, the mean operative time of the trainees was not statistically significantly different from that of the mentor.</p><p><b>CONCLUSION</b>Harvesting and transplanting both kidneys from one rat donor after a staged microvascular anastomosis training program is feasible for novices without any prior microsurgical skills.</p>
Subject(s)
Animals , Male , Rats , Kidney Transplantation , Education , Microsurgery , Education , Operative Time , Rats, Sprague-Dawley , Tissue and Organ Harvesting , EducationABSTRACT
We presented a new method for vessel segmentation and vascular structure recognition for coronary angiographic images. During vessel segmentation, a new vessel function was proposed to attain vessel feature map. Then the region growing algorithm was implemented with an automatic selection of seed point, extraction of main vessel branch, and vessel detail repairing. In the algorithm of vascular structure recognition, a fuzzy operator was used, which can detect the structures of vascular segments, bifurcations, crosses, and tips. The experimental results indicated that there was about 5 percent larger vessel region which was extracted by the proposed segmentation method than that by the simple region growing algorithm, and several thinner vessels were resumed from the lower gray region. The results also indicated that the fuzzy operator could correctly infer the simulative and real vessel structure with 100% and 90.59% correctness rate on the average, respectively.