Objective To investigate the diagnosis value of mucin 7 in plasma and urine in the detection of bladder cancer.Methods Expression of mucin 7 was detected quantitatively in plasma and urine from 23 patients with bladder cancer and 23 patients as control group by enzyme-linked immunosorbent assay(ELISA) from November 2012 to September 2013.There were 15 were male and 8 were female in the 23 bladder cancer patients,aged from 41 to 95 years,with an average of 64 years.Of the 23 bladder cancer pathology,12 with high grade,11 with low grade,11 with invasive disease and 12 with noninvasive disease.There were 19 males and 4 females in the 23 patients in control group,aged from 28 to 85 years,with an average of 61 years.Results The amount of mucin 7 in plasma was significantly higher in bladder cancer group than that in control group [(7.43±4.54) ng/ml versus (4.55±.1.98) ng/ml,P=0.017].While there was no significant difference in urine between the two groups [(12.44±7.1 1) ng/ml versus (11.96±8.41)ng/ml,P=0.840].There was no significant differences in the amount of mucin 7 had in different grades and stages of bladder cancer (P＞0.05).Conclusions Expression of mucin 7 in plasma of patients with bladder cancer is significantly higher than that in control group.Mucin 7 expression has no significant correlation with the grading and staging of bladder cancer.Detecting mucin 7 expression quantitatively with ELISA for diagnosis of bladder cancer is a method with certain value.

The objectification of facial diagnosis has been developed through recent years and has become a multidisciplinary research topic.However,many studies are still limited to the adjustment of algorithms and the design of data collection environment and equipments,few studies focus on facial diagnosis zoning.The purpose of this paper is to discuss the problems in the current research literature on machine learning-based intelligent TCM facial diagnosis zoning to build a foundation for subsequent related research.The study uses bibliometric methods and text analysis to clarify and analyze the current intelligent TCM facial diagnosis zoning methods,which mainly include facial feature point-based,facial feature block-based and complete face-based method;then by analyzing the influencing factors of facial diagnosis zoning research and summarizing the common machine learning algorithms,the advantages and disadvantages of different machine learning algorithms and the corresponding common facial diagnosis zoning methods are obtained;Finally,we discuss three aspects of the current phase of facial diagnosis zoning research:dataset construction,advantages of deep learning,and embodiment of facial diagnosis theory.

Objective:To compare the diagnostic efficacy of 18F-prostate specific membrane antigen (PSMA)-1007 PET/CT and mpMRI in the diagnosis of pelvic lymph node metastasis of prostate cancer (PCa). Methods:The clinical data of 30 patients who underwent 18F-PSMA-1007 PET/CT and mpMRI examinations in Sichuan Cancer Hospital from November 2018 to April 2021 were analyzed. The average age was (68.4±6.4) years old. The preoperative total PSA was 45.70(16.07, 100.00)ng/ml. Among 30 patients, 14 cases were found lymph node positive by PET/CT and 7 cases were found lymph node positive by mpMRI.Combined with the two preoperative imaging methods and the patient's PSA level, there was 1 patient in stage T 1, 20 patients in stage T 2, 6 patients in stage T 3, and 3 patients in stage T 4. Twenty-nine cases were classified as high risk group and one case was in moderate risk group.All 30 patients underwent laparoscopic radical prostatectomy and enlarged pelvic lymph node dissection (ePLND). According to the postoperative pathological results, the sensitivity, specificity, positive predictive value and negative predictive value of the two imaging techniques for the diagnosis of PCa pelvic lymph node metastasis were calculated, and the consistency of the two imaging techniques for the postoperative pathological results was observed by Kappa test. Results:All the 30 patients were confirmed to be PCa by postoperative pathology, among which 10 patients were positive for pelvic lymph node biopsy. The sensitivity, specificity, positive predictive value and negative predictive value of 18F-PSMA-1007 PET/CT for pelvic lymph node metastasis were 100.0% (10/10), 80.0% (16/20), 71.4%(10/14) and 100.0%(16/16) respectively, and Kappa value was 0.727. The sensitivity and specificity of mpMRI were 70.0% (7/10) and 100.0% (20/20), the positive and negative predictive values were 100.0% (7/7) and 87.0%(20/23)respectively, and the Kappa value was 0.757. The P values of sensitivity, specificity, positive predictive value and negative predictive value between the two imaging methods were 0.18, 0.07, 0.30, <0.01, respectively. The sensitivity, specificity, positive predictive value and negative predictive value of 18F-PSMA-1007 PET/CT in diagnosing the number of pelvic lymph node metastasis were 100%(28/28), 98.2% (373/380), 80.0% (28/35) and 100.0%(373/373), respectively. The sensitivity, specificity, positive predictive value and negative predictive value of mpMRI in diagnosing the number of pelvic lymph node metastasis were 78.6% (22/28), 100.0% (380/380), 100.0% (22/22) and 98.4%(380/386), respectively. The P values of the sensitivity, specificity, positive predictive value and negative predictive value of lymph node detection by the two imaging methods were all <0.01, and the differences were statistically significant. Conclusions:The sensitivity and negative predictive value of 18F-PSMA-1007 PET/CT for the detection of positive lymph node were higher than mpMRI. The specificity and positive predictive value of mpMRI in detecting positive lymph node metastasis were higher than 18F-PSMA-1007 PET/CT examination.

【Objective】 To investigate the hepatitis E virus(HEV) infection among voluntary blood donors in Liuzhou, Guangxi. 【Methods】 Qualified blood donations in Liuzhou from October to November 2019 were tested for anti-HEV IgG and IgM and.HEV antigen. HEV RNA test was performed on samples positive for HEV antigen and/or anti-HEV IgM. and the test results were analyzed statistically. 【Results】 The seroprevalence rates of HEV antigen and anti-HEV IgG and IgM among 5 751 qualified donations were 0, 26.03% (1497/5 751), and 1.67% (96/5 751), respectively.None of the 91 anti-HEV IgM positive samples was positive for HEV RNA, whereas 60.41% of anti-HEV IgM positive samples were anti-HEV IgG positive. The HEV antibody prevalence varied significantly by gender, age, and nationality (P<0.05). 【Conclusion】 The prevalence of anti-HEV IgG / IgM among blood donors in Liuzhou was higher than that in other domestic regions. Significant increase in HEV antibody prevalence was observed among ethnic minorities, such as Miao and Dong, and age group of more than 45 years.Follow-up studies with larger sample size could be conducted to estimate potential risks of HEV transmission by blood transfusion, which may provide references for selective screening of HEV infection marker among high-endemic population.