ObjectiveTo study the expression and clinical significance of osteopontin in nasopharyngeal carcinoma tissues.MethodsOsteopontin expression was determined in nasopharyngeal carcinoma tissues in 44 cases and normal mucosa tissues in 25 cases by immunohistochemical staining.The relationship between osteopontin expression and pathological features of nasopharyngeal car(e)inoma was analyzed.ResultsThe positive expression rate of osteopontin in nasopharyngeal carcinoma tissues was significantly higher than that in normal tissues and the positive staining area was larger [77.27％(34/44) vs.8.00％(2/25),(60.24 ± 17.51 )％ vs.(1.32 ± 0.48)％ ](P＜0.05).The positive expression of osteopontin was correlated with clinical staging and lymph node metastasis(P ＜ 0.05),while had no relationship with pathological staging(P＞ 0.05).ConclusionsThere is a close correlation between expression of osteopontin and tumor cell invasion and metastasis.Over-expression of osteopontin may be one of the important factors contributing to the invasion and migration of nasopharyngeal carcinoma.

Objective:To study the biting force of upper premolar and molar in the patients with unilateral cleft lip and palate(UCLP).Method:25 health people and 22 cases (13 male and 9 female with pemanent teeth) of UCLP without tempromandibular joint dysfuction were selected in the subject.Their biting force of upper premolar and molar in intercaspid position was tested by MBF 1 device,meanwhile,their mastictory perfomance and contact area of upper premolar and molar were checked.All of the results were managed by computer with SPSS 7.5 statistics software.Results:①Biting force of upper premolar and molar of male was higher than that of female in health people,but there was no sexual difference in UCLP.② Biting force in the group of UCLP was lower than that in the control (P

Objective:To explore the relationship between the polymorphisms in gene FGFR1, FGF10, FGFI8 and the nonsyndromic cleft lip with or without cleft palate (NS CLP) in Chinese population. Methods: Genomic DNA was isolated from peripheral lymphocytes of 75 patients with NS CLP and their parents and 75 unimpaired healthy children. The polymorphisms in FGFRI gene rs13317, p. E467K, p. M3691 and p. S393S, FGF10 gene rs1448037 and FGFI8 gene rs4043716 were detected by applying three-dimensional (3-D) polyacrylamide gel microarray technology. The data were performed using statis-tical analysis : the genotype frequenc+ y and allele frequency between patients with NSCL/P and control subjects were performed. Haplotype relative risk (HRR) , family based association test (FBAT) , and transmission disequilibrium test (TDT) in nuclear family were performed. Results: There were no poly-morphism in FGFR1 gene p. E467K, p. M369I and p. $393S site, the corresponding base was all G. The polymorphisms of rs13317 and rs1448037 were detected and their genotype frequency and allele frequen-cy showed no significant difference between 75 patients with NSCL/P and 75 normal children. TDT, HRR and FBAT were also no significant differences. The genotype frequency of gene FGF18 rs4043716 showed significant difference, but allele frequency were no significant difference. TDT, HRR and FBAT were also no significant difference. Conclusion: Our studies suggest an association between gene FGF18 rs4043716 and the NS CLP in Chinese population, and no association among gene FGFR1 rs13317, p. FA67K, p. M3691, p. S393S and gene FGF10 rs1448037.

Objective To explore the effects of health education video based on Knowledge, Attitude and Practice (KAP) model in patients with initial stroke. Methods A total of 146 patients with initial stroke hospitalized in General Hospital of Guangzhou Military Command of PLA from January to August 2016 were selected and randomly divided into control group (n=74) and observation group (n=72) according to the hospitalized ward. The control group received routine health education. In the observation group, health education videos based on KAP mode were circulated daily in the ward on the basis of the control group. Before the intervention, at the time of discharge, and one month after discharge, the scores of the disease related knowledge and the Champion Health Belief Model Scale (CHBMS) were compared between the two groups. One month after discharge, the scores of the Morisky Medication Adherence Scale (MMAS-8) were compared between the two groups. Results At the time of discharge, the scores of disease related knowledge and CHBMS were (6.49±1.34) and (111.58±17.95) respectively, which were both higher than those of the control group, with statistical significance (t=4.448, 6.695;P＜0.01). One month after discharge, the score of MMAS-8 was (6.05±1.43), which was higher than that of the control group (4.50±1.06), with statistical significance (t=7.454, P＜ 0.01). Conclusions Health education video based on KAP model can improve the knowledge, health belief and medication compliance of patients with initial stroke. The video strengthens the knowledge of patients with initial stroke, which is conducive to the formation of the correct attitude and behavior of patients, suitable for further promotion in the future.

Objective:To evaluate the relationship between pelvimetric parameters and surgical difficulty in robot-assisted total mesorectal excision (TME) performed by experienced colorectal surgeons, and to build a nomogram model.Methods:This was a retrospective observational study. The inclusion criteria were as follows: (1) tumor within 10 cm of the anal verge; (2) cancer confirmed by pathological examination of the postoperative specimen; (3) preoperative complete magnetic resonance imaging (MRI) data available; (4) depth of tumor invasion T1-3; (5) circumferential resection margin assessed as negative by MRI; and (6) R0 resection achieved. The exclusion criteria comprised (1) history of pelvic fractures; (2) history of pelvic surgery; and (3) emergency required because of tumor-related intestinal obstruction and/or perforation. Application of above criteria yielded 82 patients who had undergone robot-assisted total mesorectal excision of mid and low rectal cancer in the Department of Colorectal Surgery of the First Affiliated Hospital of Zhengzhou University from January 2021 to December 2022 (modeling group). Additionally, data of 35 patients with mid and low rectal cancer who had undergone robotic-assisted TME at the same center in 2023 January–August were collected for validation of the model (validation group). The following 13 pelvic parameters were studied: pelvic inlet diameter, pelvic outlet diameter, pubic tubercle height, sacral height, sacral depth, interspinous distance, inter-tuberosity distance, lateral mesorectal span, anterior-posterior mesorectal span, anterior mesorectal thickness, posterior mesorectal thickness, rectal area, and mesorectal area. Operating time was used as an indicator of the degree of surgical difficulty, this being defined as the time from the start of skin incision to the end of abdominal closure. Variables related to the duration of surgery were subjected to univariate and multivariate logistic regression analyses to identify factors associated with the difficulty of TME, after which a nomogram for predicting the difficulty of the procedure was established. We constructed receiver operating characteristic and calibration curves to validate the predictive power of nomogram. Furthermore, data from the validation group were used for external validation of the model.Results:The model group comprised 82 patients, including 54 men and 28 women of median age 61.0 years. The median body mass index (BMI) was 23.7 kg/m 2, median distance between the tumor and anal verge 6.1 cm, and median tumor diameter 4.5 cm. Fourteen of these patients had received preoperative adjuvant therapy and 12 had a history of abdominal surgery. There were 35 patients (24 men and 11 women) of median age 64.0 years in the validation group. Their median BMI was 23.7 kg/m 2 and median distance between the tumor and anal verge 6.3 cm. Multivariable analyses of the model group showed that BMI (OR=1.227, 95%CI: 1.240–1.469, P=0.026), distance between the tumor and anal verge (OR=0.733, 95%CI: 0.562–0.955, P=0.022), and interspinous distance (OR=0.468, 95%CI: 0.270–0.812, P=0.007) were independent predictors of surgical difficulty. We then built and validated a predictive nomogram based on the above three variables (AUC=0.804, 95%CI: 0.707–0.900). Calibration curves showed that the S:P in this model was 0.987 and the C-index 0.804. Area under the receiver operating characteristic curve of the predictive model in the validation dataset was 0.767 (95%CI: 0.606–0.928). Conclusion:MRI-based measurements of pelvic parameters are associated with difficulty of performing robot-assisted TME for mid and low rectal cancer. Our nomogram model constructed based on measurements of pelvic parameters has a good predictive ability.

Objective:To evaluate the relationship between pelvimetric parameters and surgical difficulty in robot-assisted total mesorectal excision (TME) performed by experienced colorectal surgeons, and to build a nomogram model.Methods:This was a retrospective observational study. The inclusion criteria were as follows: (1) tumor within 10 cm of the anal verge; (2) cancer confirmed by pathological examination of the postoperative specimen; (3) preoperative complete magnetic resonance imaging (MRI) data available; (4) depth of tumor invasion T1-3; (5) circumferential resection margin assessed as negative by MRI; and (6) R0 resection achieved. The exclusion criteria comprised (1) history of pelvic fractures; (2) history of pelvic surgery; and (3) emergency required because of tumor-related intestinal obstruction and/or perforation. Application of above criteria yielded 82 patients who had undergone robot-assisted total mesorectal excision of mid and low rectal cancer in the Department of Colorectal Surgery of the First Affiliated Hospital of Zhengzhou University from January 2021 to December 2022 (modeling group). Additionally, data of 35 patients with mid and low rectal cancer who had undergone robotic-assisted TME at the same center in 2023 January–August were collected for validation of the model (validation group). The following 13 pelvic parameters were studied: pelvic inlet diameter, pelvic outlet diameter, pubic tubercle height, sacral height, sacral depth, interspinous distance, inter-tuberosity distance, lateral mesorectal span, anterior-posterior mesorectal span, anterior mesorectal thickness, posterior mesorectal thickness, rectal area, and mesorectal area. Operating time was used as an indicator of the degree of surgical difficulty, this being defined as the time from the start of skin incision to the end of abdominal closure. Variables related to the duration of surgery were subjected to univariate and multivariate logistic regression analyses to identify factors associated with the difficulty of TME, after which a nomogram for predicting the difficulty of the procedure was established. We constructed receiver operating characteristic and calibration curves to validate the predictive power of nomogram. Furthermore, data from the validation group were used for external validation of the model.Results:The model group comprised 82 patients, including 54 men and 28 women of median age 61.0 years. The median body mass index (BMI) was 23.7 kg/m 2, median distance between the tumor and anal verge 6.1 cm, and median tumor diameter 4.5 cm. Fourteen of these patients had received preoperative adjuvant therapy and 12 had a history of abdominal surgery. There were 35 patients (24 men and 11 women) of median age 64.0 years in the validation group. Their median BMI was 23.7 kg/m 2 and median distance between the tumor and anal verge 6.3 cm. Multivariable analyses of the model group showed that BMI (OR=1.227, 95%CI: 1.240–1.469, P=0.026), distance between the tumor and anal verge (OR=0.733, 95%CI: 0.562–0.955, P=0.022), and interspinous distance (OR=0.468, 95%CI: 0.270–0.812, P=0.007) were independent predictors of surgical difficulty. We then built and validated a predictive nomogram based on the above three variables (AUC=0.804, 95%CI: 0.707–0.900). Calibration curves showed that the S:P in this model was 0.987 and the C-index 0.804. Area under the receiver operating characteristic curve of the predictive model in the validation dataset was 0.767 (95%CI: 0.606–0.928). Conclusion:MRI-based measurements of pelvic parameters are associated with difficulty of performing robot-assisted TME for mid and low rectal cancer. Our nomogram model constructed based on measurements of pelvic parameters has a good predictive ability.