Objective To investigate prognosis of endometriosis and to determined correlative factors of pelvic pain associated with endometriosis after conservative surgery.Methods The clinical data in patients with pelvic pain related to endometriosis and underwent surgery treatment from January 2000 to September 2009 in Beijing Chaoyang Hospital were collected and sorted,then the patients were followed up.The data were analyzed by statistical software SPSS 13.0 for windows.Results A total of 332 patients with endometriomas were underwent conservative surgery,281 (84.6％,281/332) cases of them relieved pelvic pain.The univariate analysis showed that the effects were signficantly with age,Douglas pouch reconstruction,postoperative medical therapy,presacral neurectomy (PSN) and combined adenomyosis (all P＜0.05).The multivariate analysis also showed that age(OR=0.946,P＜0.01),Douglas pouch reconstruction (OR=0.208,P＜0.01),postoperative medical therapy (OR=0.504,P＜0.01),PSN (OR=0.121,P＜0.05) and combined with adenomyosis (OR=2.528,P＜0.01) were also the correlative factors to prognosis.Conclusion The protective factors for prognosis of pelvic pain associated with endometriosis included age,Douglas pouch reconstruction,postoperative medical therapy and PSN,while the risk factor was combined with uterine adenomyosis.

ObjectiveThe relationship between clinicopathological features and prognosis in the women patients with breast mucinous carcinoma was investigated. Methods 101 patients with breast mucinous carcinoma were divided into two groups:pure mucinous carcinoma ( n =74), and mixed type ( n =27). The relationship between clinicopathological features and prognosis was analysed. Results Lymph node was less frequently involved in pure type group (24%) than that in the mixed type (52%) (? 2 =10 4, P

Objective:To compare the efficacy of traditional open thyroidectomy and modified Miccoli in the treatment of benign thyroid diseases.Methods:The data of 343 patients with benign thyroid disease in Xi′an Central Hospital and Xi′an Third Hospital were retrospectively analyzed. According to the surgical method, the patients were divided into the observation group (modified Miccoli operation, n=169) and the control group (traditional open operation, n=174). The operation effect, postoperative recovery, patient satisfaction, postoperative complications and recurrence within 1 year of follow-up were compared between the two groups.Count data were represented by n(%), measurement data consistent with normal distribution were represented by Mean± SD, and non-normal data were represented by M( P25, P75). T test or Wilcoxon rank sum test were used to compare the measurement data between groups according to their distribution characteristics. Comparison of statistical data between groups was made by chi-square test. Results:The intraoperative blood loss and postoperative drainage volume of the patients in the observation group were 26.2 (6.9, 40.8) ml and (33.4±8.6) ml, respectively, which were significantly less than those in the control group 50.6 (37.5, 63.7) ml and (35.7±9.5) ml (all P<0.05). The postoperative recovery time in the observation group was (3.9±2.8) d, which was significantly shorter than that in the control group (5.1±2.4) d ( P=0.001). Postoperative complications such as hoarseness, subcutaneous ecchymosis, scar formation and decreased parathyroid function were significantly different between the two groups ( P<0.05). The recurrence rate of 7.69% in the observation group was significantly lower than that of 19.54% in the control group 12 months after operation ( P<0.05). Conclusions:The modified Miccoli in the treatment of benign thyroid diseases not only has the advantages of less trauma, faster postoperative recovery, less pain and higher patient satisfaction, but also has lower postoperative complications and recurrence rate, which is worthy of clinical promotion and application.

Objective:To investigate the application value of magnetic resonance (MR) diffusion tensor imaging (DTI) automatic fiber quantification (AFQ) in the diagnosis and prediction of Alzheimer's disease (AD).Methods:Clinical and MR data of 21 patients with AD (AD group) and 33 normal controls (NC group) were collected.AFQ software was used to analyze DTI data, track 20 white matter fiber bundles in the brain, and compare the differences of fractional anisotropy (FA) and mean diffusivity (MD) value of each bundle between groups.Each fiber bundle was divided into 100 equal parts along the direction of travel, and the FA or MD value of each part was taken as a characteristic.Screening the characteristics with statistic differences between groups for classification of AD and NC by support vector machine (SVM) with leave one method for cross validation.Classification effectiveness was evaluated using the receiver operating characteristic (ROC) curve.Results:Eleven (left/right anterior thalamic radiation (ATR), left/right corticospinal tract (CST), genu of corpus callosum (CC Genu), right inferior longitudinal fasciculus (ILF), right superior longitudinal fasciculus (SLF), left/right uncinated fasciculus (UF), and left/right arcuate fasciculus (AF)) of the 20 fiber bundles were successfully tracked in all subjects.Compared with NC group, the FA values of 2 fiber bundles (left/right UF) in AD group were significantly decreased( t=-2.532, -2.391, both P<0.05), and the MD values of 7 fiber bundles (left ATR, left/right CST, right ILF, left/right UF, and left AF) were significantly increased ( t=2.569, 2.411, 2.108, 2.357, 3.773, 3.796, 3.492, all P<0.05). Among the 2 200 characteristics of 11 fiber bundles, 412 classification characteristics with inter-group differences were selected.Among which, 78 FA characteristics were distributed in 7 fiber bundles (left ATR, left/right CST, CC Genu, right ILF, left/right UF), and 334 MD characteristics were distributed in 9 fiber tracts (left/right ATR, left/right CST, CC Genu, right ILF, left/right UF, and left AF). The accuracy of SVM classification was 85.19%, sensitivity was 80.95%, specificity was 87.88%, and area under ROC curve was 0.894 7. Conclusion:AFQ analysis based on DTI has a high application value in the diagnosis and prediction of AD.

Background Phenolic compounds may adversely affect human health, but the current relevant studies are mostly limited to the impact of single phenolic compound exposure on human health, and there is still a lack of studies on the population-based association between combined exposure to multiple common phenolic compounds and dyslipidemia. Objective To explore the association of phenolic compound combined exposure and dyslipidemia based on principal component analysis-random forest (PCA-RF) strategy. Methods The data were from the National Health and Nutrition Examination Survey (2013–2016). A total of 1301 adult residents aged ≥ 20 years with complete information on demographics and lifestyle, urine phenol concentrations (bisphenol A, bisphenol F, bisphenol S, triclocarban, benzophenone, and triclosan), and serum concentrations of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were included in this study. The concentrations of six urinary phenolic compounds were determined by solid phase extraction coupled with high performance liquid chromatography and tandem mass spectrometry, and the lipid indicators were determined by enzymatic methods. Principal component analysis combined with random forest model was used for model construction. First, principal component analysis was performed on 18 original variables including 6 phenolic compounds and 12 basic characteristic indicators, and then random forest model was established with dyslipidemia and its four evaluation indicators as dependent variables and the extracted principal components as independent variables, respectively. Results The PCA-RF analysis showed that bisphenol A, bisphenol F, and benzophenone may be important factors for dyslipidemia in the study subjects; bisphenol A, bisphenol F, and triclosan may be important factors for TC level in the study subjects; bisphenol A, bisphenol F, triclocarban, and benzophenone may be important factors for TG level in the study subjects; bisphenol A may be an important factor for LDL-C level in the study subjects; bisphenol F and benzophenone may be important factors for HDL-C level in the study subjects. Conclusion Phenolic compound exposure may be an important risk factor for the development of dyslipidemia. PCA-RF strategy can be effectively used to explore the association between phenolic compound exposure and dyslipidemia in the population.