The giant condyloma acuminatum (GCA), also known as Buschke-Löwenstein tumor (BLT), is a type of human papilloma virus-associated sexually transmitted infection. Treatment options for condyloma acuminatum remain controversial, but surgery seems to be the best option. The management of GCA during pregnancy is more complicated since one has to evaluate the condition of both the mother and the fetus. In this report, we presented a GCA case in a pregnant woman with giant masses that covered the perineal and perianal region. Considering the gestational age and the fetal neurological risk from the anticipated lengthy procedure of mass removal surgery for tumor of this size, we decided to resect the tumor 2 weeks after the infant was delivered via C-section.
With the deployment and commercialization of the fifth-generation (5G) mobile communication network, the access nodes and data volume of wireless network show a massive and blowout growth trend. Taking beyond 5G (B5G) edge intelligent network as the research object, based on the deep integration of storage / computing and communication, this paper focuses on the theory and key technology of system intelligent transmission, so as to effectively support the related applications of B5G edge intelligent network in the future. This paper analyzes the research status of data storage, studies the real field distributed storage computing system, and designs the corresponding flashback shift code and error correction scheme with low storage space overhead.
objective To explore the effect of arsenic trioxide on the expression of VEGF of S_~180 sarcoma. Methods S_~180 tumor-bearing mice were treated with different concentrations of arsenic trioxide. The contents of iNOS and NO in tumor emulsion were determined. The expression of iNOS and VEGF was measured by immunohistochemistry. Results With the concentration of arsenic trioxide increasing, the iNOS and NO contents were decreased, the expressions of iNOS and VEGF were subdued gradually, which became evident when the dose of ars enic trioxide reached 3.5 mg·kg~-1 ·d~-1 (P0.05). Conclusion It is suggested that the action of As_2O_3 may decrease the expression of of iNOS and downregulate the expression of VEGF, which in turn, may inhibit the growth of tumor vessels and the tumor growth and spread.
Abstract Objectives To compare prevalence and severity of diaper dermatitis (DD) in infants and toddlers (babies) across three countries (China, USA, and Germany), including diapered skin measures and caregiver practices. Methods A cross‐sectional study of 1791 babies (~600 from each country) was recruited at each clinical site. Based on regional toilet‐training habits, exclusively diaper‐wearing infants were recruited between ages 2‐8 months in China and 2‐18 months in the USA and Germany. DD was measured, as well as skin pH, transepidermal water loss (TEWL), and relative humidity (RH) in the diapered region. Caregiver habits were collected via a questionnaire and included information on hygienic practices. Results Diaper dermatitis was highest in the perianal area, followed by the intertriginous, genital, and buttock regions. In general, DD was significantly lower in babies in China, highest in Germany, and intermediate in the USA. This rank ordering of DD by geography was also observed in baby age 2‐8 months. The lower DD observed in China was associated with lower skin pH and TEWL on diapered skin and decreased RH in the diaper. Chinese caregivers had the highest rate of prophylactic topical product usage, the most robust cleaning of the diapered area, lack of cleansing after urine‐only diaper changes, and Chinese infants spent the least time in an overnight diaper. Conclusions These data suggest caregiver behaviors including prophylactic use of topical products, thorough cleaning after stooling and reduced time in an overnight diaper are associated with less DD, lower superficial skin pH, and enhanced skin barrier.
Within this specific record, our group study the two-way interact body (TWRN) that has a number of amplify-and-forward (AF) relays. In that, the best one is actually really got to help the info communication among sources. A interact option is actually really according to the obsolete channel problem information (CSI) in addition to our group analyze its own very personal effect on the system effectiveness in the Rayleigh fading atmospheres. Especially, we extremely preliminary acquire a restricted decreased connected for the outage opportunity and afterward current an asymptotic assessment for greater signal-to-noise ratio (SNR). Our group extra acquire a restricted decreased connected along with an asymptotic result on the authorize error cost (SER). Originating got via these results, our group easily quickly obtain that body system range order remain at unity offered that the CSI is actually really obsolete. Relative results reveal the rigidness on the effectiveness bounds along with the effects of obsolete interact option on the body system effectiveness. Simulation outcomes are likewise offered to corroborate the scholastic evaluation.
Data loss often occurs in the collection of clinical data. Directly discarding the incomplete sample may lead to low accuracy of medical diagnosis. A suitable data imputation method can help researchers make better use of valuable medical data.In this paper, five popular imputation methods including mean imputation, expectation-maximization (EM) imputation, K-nearest neighbors (KNN) imputation, denoising autoencoders (DAE) and generative adversarial imputation nets (GAIN) are employed on an incomplete clinical data with 28,274 cases for vaginal prolapse prediction. A comprehensive comparison study for the performance of these methods has been conducted through certain classification criteria. It is shown that the prediction accuracy can be greatly improved by using the imputed data, especially by GAIN. To find out the important risk factors to this disease among a large number of candidate features, three variable selection methods: the least absolute shrinkage and selection operator (LASSO), the smoothly clipped absolute deviation (SCAD) and the broken adaptive ridge (BAR) are implemented in logistic regression for feature selection on the imputed datasets. In pursuit of our primary objective, which is accurate diagnosis, we employed diagnostic accuracy (classification accuracy) as a pivotal metric to assess both imputation and feature selection techniques. This assessment encompassed seven classifiers (logistic regression (LR) classifier, random forest (RF) classifier, support machine classifier (SVC), extreme gradient boosting (XGBoost) , LASSO classifier, SCAD classifier and Elastic Net classifier)enhancing the comprehensiveness of our evaluation.The proposed framework imputation-variable selection-prediction is quite suitable to the collected vaginal prolapse datasets. It is observed that the original dataset is well imputed by GAIN first, and then 9 most significant features were selected using BAR from the original 67 features in GAIN imputed dataset, with only negligible loss in model prediction. BAR is superior to the other two variable selection methods in our tests.Overall, combining the imputation, classification and variable selection, we achieve good interpretability while maintaining high accuracy in computer-aided medical diagnosis.
Clinically, few patients with locally advanced cervical cancer (LACC) are insensitive to neoadjuvant chemotherapy (NACT). Recent studies have reported that circulating microRNAs (miRNAs) may be involved in the response to NACT. The aim of this study was to discover the potential miRNAs that can predict the response to NACT in LACC.Pair-matched blood samples of 39 LACC patients before and after receiving NACT were collected. Seven paired samples were used for microRNA microarray analysis. Targeted miRNAs were selected by bioinformatics analysis and were validated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). All 39 patients were assigned into either the responders group or the non-responders group after NACT. The predictive performance of selected microRNA was evaluated by sensitivity, specificity, accuracy, and the area under the receiver operating characteristic (ROC) curve.A total of 17 miRNAs downregulated before NACT and upregulated after NACT were selected according to microarray analysis in our previous study, and miR-326 and miR-376a-3p were selected for further exploration. According to the responses and the evaluation criteria, 25 patients reached partial response (PR) and 14 patients remained stable. Further qRT-PCR analysis showed that miR-326 significantly downregulated before NACT and upregulated after NACT in 12 responders (p = 0.02). The expression of miR-376a-3p showed no statistical difference before and after NACT in these 12 responders. Then, miR-326 provided an AUC-ROC of 0.75 (p = 0.04) in the discrimination between the responders and non-responders groups. The cutoff value of ROC for miR-326 to predict the response of NACT was <0.023, the sensitivity was 88.89%, and the specificity was 50%.The expression of miR-326 significantly upregulated after NACT in responders. miR-326 may be a biomarker for predicting the response to NACT in LACC patients. The results may optimize individualized treatments for LACC patients.
Objective: To investigate the value of CT findings in predicting thetransformation of clinical types of COVID-19. Methods: From January 24 to February 6, 2020, the clinical and chest CT data of patients with common COVID-19 were analyzed retrospectively. A total of 64 patients were enrolled, including 32 males and 32 females, aged 18-76 (45±15) years. Based on the fact whether patients’ conditions had deteriorated into severe type, all the cases were divided into common type group (51 cases) and deteriorated type group (13 cases). Differences of CT findings in the two groups of patients were analyzed, and visual semi-quantitative scores were introduced to evaluate the pneumonia. Results: Compared with the common type group, the deteriorated type group was more likely to involve the left upper lobe, the right middle lobe and the lung far away from the pleura. The differences between the two groups were statistically significant (χ²= 5.897, P=0.027; χ²=8.549, P=0.005; χ²=10.169,P=0.002). The median of the involved lobes were 2 (1,5) in the common type group and 5 (4,5) in the deteriorated type group. The difference between the two groups was statistically significant (Z =-3.303, P=0.001). Taking the involved lobes (n=4) as the threshold, the sensitivity and specificity of the diagnosis of the common type to the deteriorated type patients were the highest, 76.9% and 74.5% respectively, and the area under the ROC curve was 0.787. Pneumonia score of the deteriorated group was 10 (4,16), higher than that of the common group [4 (1,13)], and the difference was statistically significant (Z=-4.040, P<0.001). Pneumonia score 8 as the threshold, the sensitivity and specificity of the general severe group were the highest, 69.2% and 86.3% respectively, and the area under ROC curve was 0.863. Conclusions: CT imaging has a profound value in the early prediction of deterioration in clinical type of COVID-19. It can help evaluate the severity of pneumonia in early stage. Range of lesions might be an important indicator for prognosis of common type COVID-19.
AbstractPurpose: The aim of this retrospective clinical study is to assess clinical outcomes, patient satisfaction between laparoscopic lateral suspension (LLS) with mesh and laparoscopic high uterosacral ligament suspension (LHUS) for apical prolapse with or without anterior prolapse. Methods: Patients who underwent LLS with mesh or LHUS from 2019 to 2023 at the Second West China Hospital of Sichuan University were enrolled in this retrospective study. The objective outcomes were evaluated based on the anatomical success rate according to the Pelvic Organ Prolapse Quantification System (POP-Q). The subjective outcomes were assessed using the Pelvic Floor Distress Inventory (PFDI-20) questionnaire, Pelvic Floor Impact Questionnaire (PFIQ-7), Patient Global Impression of Improvement (PGI-I) scores and complications rate. Complications were defined according to the Clavien-Dindo scale. The outcomes of postoperative 3, 6 and 12 months were analyzed retrospectively. Results: The objective and subjective outcomes indicated improvements in both groups. There was no statistically significant difference between the two groups in the change of subjective outcomes. The short-term objective and subjective outcomes for both techniques were found to be comparable. The anatomical success rate for apical and anterior prolapse was 93.85% in LHUS group, 93.44% in LLS group. LLS demonstrated a superior effect on the degree of postoperative point Ba improvement comparing to LHUS. Conclusion: LHUS and LLS are effective, safe surgical techniques for apical prolapsed, with or without anterior prolapsed, exhibiting low complication rates and high anatomic curative rates. LLS demonstrated certain advantages over LHUS in anterior improvement and symptom improvement compared to LHUS.
Glioma is one of the most common brain tumors and one of the most aggressive cancers. Although extensive progress has been made regarding to the diagnosis and treatment, the mortality in glioma patients is still high. Therefore, finding new therapeutic targets to the glioma is critical to the advancement in cancer treatment. Recently, the 37-kDa laminin receptor precursor (37LRP) was reported to play important roles in occurrence of some types of cancer, indicating that this molecule may function as a key regulator in the tumor migration and metastasis. However, there is still no report to elucidate the correlation between 37LRP expression and glioma genesis and development. In this study, we found the higher expression of 37LRP in the glioma cells compared with the normal brain cells. We also indicated that the downregulation of 37LRP could affect the glioma biomarker expression and also weaken the proliferative, migratory, and metastatic capacity of glioma cells in vitro. Furthermore, 37LRP silencing inhibited the glioma tumor growth in vivo. Collectively, these data demonstrated that 37LRP regulates the metastasis of glioma cells in vitro and tumor growth in vivo, suggesting that 37LRP may function as a potential molecular target in the glioma treatment.