Effect of Radiotherapy on Sino-nasal Function in Nasopharynx Cancer Patients.

Introduction: Radiotherapy causes significant nasal comorbidity in nasopharynx cancer (NPC) patients. However, the literature addressing the sino-nasal quality of life (QoL) of those patients, especially on structural and functional changes after radiotherapy, is limited. Method: It is a case-control study with 14 NPC groups and 14 healthy control group. The sino-nasal QoL, including the olfactory threshold using Butanol Threshold Test (BTT), the olfactory identification level using the University of Pennsylvania Smell Identification Test (UPSIT), nasal symptoms using the sino-nasal outcome test (SNOT-22) questionnaire, nasal cross-sectional area, nasal flow, and nasal resistance using the acoustic rhinometry and rhinomanometry, were measured and compared. Result: The mean BTT score of the control group was higher than that of the NPC group (5.17 vs 2.71). The UPSIT score of the control group was higher than that of the NPC group (31.93 vs 25.14). The mean SNOT-22 score of control group was lower than that of the NPC group of (16.71 vs 37.71). All 3 results are statistically significant (P < .05). However, there is no statistical difference in nasal cross-sectional area, nasal flow, and nasal resistance between these 2 groups. Conclusion: In this study, we concluded that NPC patients who received radiotherapy suffered a worsening of sino-nasal functional changes, including the olfaction threshold, olfaction identification, and nasal symptoms. However, the sino-nasal structural changes on nasal cross-sectional area, nasal flow, and nasal resistance after radiation remain questionable.

Comparison and fusion prediction model for lung adenocarcinoma with micropapillary and solid pattern using clinicoradiographic, radiomics and deep learning features.

To investigate whether the combination scheme of deep learning score (DL-score) and radiomics can improve preoperative diagnosis in the presence of micropapillary/solid (MPP/SOL) patterns in lung adenocarcinoma (ADC). A retrospective cohort of 514 confirmed pathologically lung ADC in 512 patients after surgery was enrolled. The clinicoradiographic model (model 1) and radiomics model (model 2) were developed with logistic regression. The deep learning model (model 3) was constructed based on the deep learning score (DL-score). The combine model (model 4) was based on DL-score and R-score and clinicoradiographic variables. The performance of these models was evaluated with area under the receiver operating characteristic curve (AUC) and compared using DeLong's test internally and externally. The prediction nomogram was plotted, and clinical utility depicted with decision curve. The performance of model 1, model 2, model 3 and model 4 was supported by AUCs of 0.848, 0.896, 0.906, 0.921 in the Internal validation set, that of 0.700, 0.801, 0.730, 0.827 in external validation set, respectively. These models existed statistical significance in internal validation (model 4 vs model 3, P = 0.016; model 4 vs model 1, P = 0.009, respectively) and external validation (model 4 vs model 2, P = 0.036; model 4 vs model 3, P = 0.047; model 4 vs model 1, P = 0.016, respectively). The decision curve analysis (DCA) demonstrated that model 4 predicting the lung ADC with MPP/SOL structure would be more beneficial than the model 1and model 3 but comparable with the model 2. The combined model can improve preoperative diagnosis in the presence of MPP/SOL pattern in lung ADC in clinical practice.

Dual-energy computed tomography iodine uptake in differential diagnosis of inflammatory and malignant pulmonary nodules.

PURPOSE The aim of this study was to evaluate the diagnostic performance of iodine uptake parameters using dual-energy computed tomography (DECT) in discriminating inflammatory nodules from malignant tumors. METHODS This retrospective study included 116 solid pulmonary nodules from 112 patients who were admitted to our hospital between January and September 2018. All nodules were confirmed by surgery or puncture. The degree of enhancement of a single-section region of interest was evalu ated. After total tumor volume-of-interest segmentation, the mean iodine density of the whole tumor was measured. Meanwhile, iodine uptake parameters, including total iodine uptake vol ume, total iodine concentration, vital iodine uptake volume, and vital iodine concentration, were calculated, and a predictive model was established. The overall ability to discriminate between inflammatory and malignant nodules was analyzed using an independent samples t-test for normally distributed variables. The diagnostic accuracy and prognostic performance of DECT parameters were evaluated and compared using receiver operating characteristic curve analysis and logistic regression analysis. A multivariate logistic regression analysis was used to determine the prognostic factors and goodness-of-fit of the whole tumor mean iodine and iodine uptake parameters for discriminating malignant nodules. RESULTS There were 116 non-calcified nodules, including 64 inflammatory nodules and 52 malignant nodules. The degree of enhancement in malignant nodules was significantly lower than that in inflammatory nodules (P=.043). All iodine uptake parameters in malignant nodules were signifi cantly higher than those in inflammatory nodules (P < .001). The area under the receiver operat ing curve value, accuracy, sensitivity, and specificity of the established model based on iodine uptake parameters were 0.803, 76.72%, 82.69%, and 84.37%, respectively, which exhibited bet ter diagnostic performance than the degree of enhancement on weighted average images with respective values of 0.609, 59.48%, 61.54%, and 59.38%. CONCLUSION The iodine uptake parameters of DECT exhibited better diagnostic accuracy in discriminating inflammatory nodules from malignant nodules than the degree of enhancement on weighted average images.

Quantitative texture analysis based on dynamic contrast enhanced MRI for differential diagnosis between primary thymic lymphoma from thymic carcinoma.

To evaluate the value of texture analysis based on dynamic contrast enhanced MRI (DCE-MRI) in the differential diagnosis of thymic carcinoma and thymic lymphoma. Sixty-nine patients with pathologically confirmed (thymic carcinoma, n = 32; thymic lymphoma, n = 37) were enrolled in this retrospective study. Ktrans, Kep and Ve maps were automatically generated, and texture features were extracted, including mean, median, 5th/95th percentile, skewness, kurtosis, diff-variance, diff-entropy, contrast and entropy. The differences in parameters between the two groups were compared and the diagnostic efficacy was calculated. The Ktrans-related significant features yielded an area under the curve (AUC) of 0.769 (sensitivity 90.6%, specificity 51.4%) for the differentiation between thymic carcinoma and thymic lymphoma. The Kep-related significant features yielded an AUC of 0.780 (sensitivity 87.5%, specificity 62.2%). The Ve-related significant features yielded an AUC of 0.807 (sensitivity 75.0%, specificity 78.4%). The combination of DCE-MRI textural features yielded an AUC of 0.962 (sensitivity 93.8%, specificity 89.2%). Five parameters were screened out, including age, Ktrans-entropy, Kep-entropy, Ve-entropy, and Ve-P95. The combination of these five parameters yielded the best discrimination efficiency (AUC of 0.943, 93.7% sensitivity, 81.1% specificity). Texture analysis of DCE-MRI may be helpful to distinguish thymic carcinoma from thymic lymphoma.

Radiomic Analysis of Pulmonary Nodules for Distinguishing Malignancy From Benignancy: The Value of Using Iodine Maps From Dual-Energy Computed Tomography.

OBJECTIVE: The aim of the study is to investigate the diagnostic accuracy of radiomics on iodine maps from dual-energy computed tomography (DECT) in distinguishing lung cancer from benign pulmonary nodules. METHODS: This retrospective study was approved by the institutional review board, and written informed consent was waived. A total of 109 patients with 55 malignant nodules and 62 benign nodules underwent contrast-enhanced DECT. Eight iodine uptake parameters on iodine maps generated by DECT were calculated and established a predictive model. Eighty-seven radiomics features of entire tumor were extracted from iodine maps and established a radiomics model. The iodine uptake model and radiomics model were independently built based on the highly reproducible features using the least absolute shrinkage and selection operator method. The diagnostic accuracy of 2 models were assessed using receiver operating curve analysis. For external validation, 47 patients (25 benign and 22 malignant) from another hospital were assigned to testing data set. RESULTS: All iodine uptake features showed significant association with malignancy ( P < 0.01) and 2 selected features (mean value of virtual noncontrast images and mean value of vital part on contrast-enhanced image) constituted the iodine model. The radiomics model comprised 2 features (original shape sphericity and original glszm small area high gray level emphasis), which showed good discrimination both in the training cohort (area under the curve, 0.957) and validation cohort (area under the curve, 0.800). Radiomics model showed superior performance than iodine uptake model (accuracy, 89.7% vs 80.6%). CONCLUSIONS: Radiomics model extracted from iodine maps provided a robust diagnostic tool for discriminating pulmonary malignant nodules and had high potential in clinical application.

Multiparametric Magnetic Resonance Imaging for Assessing Thymic Epithelial Tumors: Correlation With Pathological Subtypes and Clinical Stages.

BACKGROUND: World Health Organization classification and Masaoka-Koga stage are widely used for thymic epithelial tumors (TETs). Reduced field-of-view (rFOV) diffusion-weighed imaging (DWI) proved to improve the image quality. Dynamic contrast-enhanced (DCE) MRI was commonly used in evaluating tumors. PURPOSE: To investigate the value of multiparametric MRI in evaluating TETs. STUDY TYPE: Retrospective. SUBJECTS: Eighty-seven participants including 38 low risk (52.08 ± 14.19 years), 30 high risk (52.40 ± 11.35 years), and 19 thymic carcinoma patients (59.76 ± 10.78 years). FIELD STRENGTH/SEQUENCE: A 3 T, turbo spin echo imaging, echo planar imaging, volumetric interpolated breath-hold examination with radial acquisition trajectory. ASSESSMENT: DCE-MRI and apparent diffusion coefficient (ADC) variables were compared. Diagnostic performances of single significant factor and combined model were compared. STATISTICAL TESTS: Parameters were compared using one-way ANOVA or independent-samples t test. Logistic regression was employed to investigate the combined model. Receiver operating curves (ROC) and DeLong's test were used to compare the diagnostic efficiency. RESULTS: ADC, Ktrans , and kep values were significantly different among low-risk, high-risk and carcinoma group (ADC, 1.279 ± 0.345 × 10-3  mm2 /sec, 0.978 ± 0.260 × 10-3  mm2 /sec, 0.661 ± 0.134 × 10-3  mm2 /sec; Ktrans 0.167 ± 0.071 min-1 , 0.254 ± 0.136 min-1 , 0.393 ± 0.110 min-1 ; kep 0.345 ± 0.113 min-1 , 0.560 ± 0.269 min-1 , 0.872 ± 0.149 min-1 ). They were significantly different for early stage and advanced stage (ADC, 1.270 ± 0.356 × 10-3  mm2 /sec vs. 0.845 ± 0.251 × 10-3  mm2 /sec; Ktrans 0.179 ± 0.092 min-1 vs. 0.304 ± 0.142 min-1 ; kep 0.370 ± 0.181 min-1 vs. 0.674 ± 0.362 min-1 ). The combination of them had highest diagnostic efficiency for WHO classification (AUC, 0.925; sensitivity, 83.7%; specificity, 89.5%), clinical stage (AUC, 0.879; sensitivity, 80.9%; specificity, 82.5%). DATA CONCLUSION: Multiparametric MRI model may be useful for discriminating WHO classification and clinical stage of TETs. EVIDENCE LEVEL: 4 TECHNICAL EFFICIENCY: Stage 2.

Effect of core symptoms of attention deficit hyperactivity disorder on behavioral problems in children with ADHD propensity / 四川精神卫生

ObjectiveTo explore the influence of the core symptoms of attention deficit hyperactivity disorder （ADHD） on behavioral problems of children with ADHD propensity， so as to provide references for early identification and targeted intervention for children with ADHD propensity. MethodsFrom July to August 2021， 25 children with ADHD propensity were screened as the ADHD propensity group， and 25 children matched for age， gender and grade were included as the normal group in an elementary school in Guangzhou. ADHD core symptoms were assessed by the Chinese version of the Swanson Nolan and Pelham， version IV-parent form for ADHD （SNAP-IV）， and behavioral problems were assessed by Questionnaire-Children with Difficulties （QCD） and Conners Parental Symptom Questionnaire （PSQ）. Spearman correlation analysis was used to examine the correlation between ADHD core symptoms and QCD and PSQ scores， and hierarchical linear regression analysis was used to explore the effect of ADHD core symptoms on behavioral problems. Results① The differences between the groups showed that both attention deficit and hyperactivity-impulsivity factor scores were higher in the ADHD propensity group than those in the normal group （t=7.771， 6.726， P<0.01）. ② Correlation analysis showed that the attention deficit factor score was negatively correlated with QCD total score （r=-0.440， P<0.05）， and positively correlated with the learning problem factor score of PSQ （r=0.457， P<0.05）. The score of hyperactivity-impulsivity was negatively correlated with score of anxiety factor in PSQ （r=-0.457， P<0.05）， and positively correlated with impulse-hyperactivity factor score （r=0.552， P<0.01）. ③ Hierarchical linear regression analysis showed that the attention deficit factor score negatively predicted the total score of QCD （B=-0.682， P<0.05， R2=0.468）. The hyperactivity-impulsivity factor score had a negative predictive effect on the anxiety factor score of PSQ （B=-0.048， P<0.05， R2=0.367）， and had a positive predictive effect on the impulsivity-hyperactivity factor score （B=0.077， P<0.01， R2=0.424）. ConclusionChildren with ADHD propensity have significant attention deficit symptoms， hyperactivity-impulsivity symptoms and behavioral problems， and the attention deficit may be the main cause of their daily behavioral problems， while hyperactivity-impulsivity may be the main cause of their impulsive-hyperactivity problems.

Effect of RBP2 gene silencing on proliferation, migration and invasion of ovarian epithelial cancer SKOV3/DDP cells and its mechanism / 中华肿瘤杂志

Objective: To explore the effect of down-regulation of retinol binding protein 2 (RBP2) expression on the biological characteristics of ovarian cancer cells and its mechanism. Methods: Knockdown of RBP2 and cisplatin (DDP)-resistant ovarian cancer cell line SKOV3/DDP-RBP2i was established, the negative control group and blank control group were also set. Cell counting kit 8 (CCK-8) was used to detect the cell proliferation ability, flow cytometry was used to detect cell apoptosis, scratch test and Transwell invasion test were used to detect cell migration and invasion ability, real-time fluorescent quantitative polymerase chain reaction (RT-qPCR) and western blot were used to detect the expressions of molecular markers related to epithelial-mesenchymal transition (EMT). The effect of RBP2 on the growth of ovarian cancer was verified through experiment of transplanted tumors in nude mice, and the relationships between RBP2 expression and tumor metastasis and patient prognosis were analyzed using the clinical data of ovarian cancer in TCGA database. Results: After down-regulating the expression of RBP2, the proliferation ability of SKOV3/DDP cell was significantly reduced. On the fifth day, the proliferation activities of SKOV3/DDP-RBP2i group, negative control group and blank control group were (56.67±4.16)%, (84.67±3.51) and (87.00±4.00)% respectively, with statistically significant difference (P<0.001). The apoptosis rate of SKOV3/DDP-RBP2i group was (14.19±1.50)%, higher than (8.77±0.75)% of the negative control group and (7.48±0.52)% of the blank control group (P<0.001). The number of invasive cells of SKOV3/DDP-RBP2i group was (55.20±2.39), lower than (82.60±5.18) and (80.80±7.26) of the negative control group and the blank control group, respectively (P<0.001). The scratch healing rate of SKOV3/DDP-RBP2i group was (28.47±2.72)%, lower than (50.58±4.06)% and (48.92±4.63)% of the negative control group and the blank control group, respectively (P<0.001). The mRNA and protein expressions of E-cadherin in the SKOV3/DDP-RBP2i group were higher than those in the negative control group (P=0.015, P<0.001) and the blank control group (P=0.006, P<0.001). The mRNA and protein expression of N-cadherin in SKOV3/DDP-RBP2i group were lower than those in the negative control group (P=0.012, P<0.001) and the blank control group (P=0.005, P<0.001). The mRNA and protein expressions of vimentin in SKOV3/DDP-RBP2i group were also lower than those in the negative control group (P=0.016, P=0.001) and the blank control group (P=0.011, P=0.001). Five weeks after the cells inoculated into the nude mice, the tumor volume of SKOV3/DDP-RBP2i group, negative control group and blank control group were statistically significant different. The tumor volume of SKOV3/DDP-RBP2i group was smaller than those of negative control group and blank control group (P=0.001). Bioinformatics analysis showed that the expression of RBP2 in patients with metastatic ovarian cancer was higher than that without metastasis (P=0.043), and the median overall survival of ovarian cancer patients with high RBP2 expression was 41 months, shorter than 69 months of low RBP2 expression patients (P<0.001). Conclusion: Downregulation of the expression of RBP2 in SKOV3/DDP cells can inhibit cell migration and invasion, and the mechanism may be related to the inhibition of EMT.

Unsupervised Machine Learning-Based Analysis of Clinical Features, Bone Mineral Density Features and Medical Care Costs of Rotator Cuff Tears.

PURPOSE: We aim to present unsupervised machine learning-based analysis of clinical features, bone mineral density (BMD) features, and medical care costs of Rotator cuff tears (RCT). PATIENTS AND METHODS: Fifty-three patients with RCT were reviewed, the clinical features, BMD features, and medical care costs were collected and analyzed by descriptive statistics. Furtherly, unsupervised machine learning (UML) algorithm was used for dimensionality reduction and cluster analysis of the RCT data. RESULTS: There were 26 males and 27 females. The patients were divided into four subgroups using the UML algorithm. There were significant differences among four subgroups regarding trauma exposure, full-thickness supraspinatus tendon tears, infraspinatus tendon tear, subscapularis tendon tear, BMD distribution, medial row anchors, lateral row anchors, total medical care costs, and consumables costs. We observed the highest frequency of trauma exposure, infraspinatus tendon tear, subscapularis tendon tear, osteoporosis, the highest number of medial row anchors, lateral row anchors, total medical care costs, and consumables costs in subgroup II. CONCLUSION: The unsupervised machine learning-based analysis of RCT can provide clinically meaningful classification, which shows good interpretability and contribute to a better understanding of RCT. The significance of the results is limited due to the small number of samples, a larger follow-up study is needed to confirm the encouraging results.

Postoperative Bone Marrow Lesions (BMLs) Are Associated with Pain Severity in Patients Undergoing Open Wedge High Tibial Osteotomy (OWHTO).

The purpose of the study was to investigate the relationship between postoperative bone marrow lesions (BMLs) and pain severity in patients undergoing open wedge high tibial osteotomy (OWHTO). We reviewed the patients undergoing OWHTO between April 2018 and April 2020. The demographic and clinical data of patients were collected. Clinically, VAS and Knee injury and Osteoarthritis Outcome Score (KOOS) were used to assess pain level and functional outcomes of patients. The MRI Osteoarthritis Knee Score (MOAKS) was used to assess the total BMLs size in medial tibiofemoral (MTF), lateral tibiofemoral (LTF), and patellofemoral (PF) joints. 98 patients were enrolled in the study, including 57 male and 41 female patients. The VAS scores improved significantly from 6.1 ± 0.8 to 1.5 ± 0.9 (p < 0.001), and all subscales of KOOS improved significantly after surgery (p < 0.001). There were no significant differences between the pre- and postoperative total BML size of PF and LTF joints (p > 0.05). We observed significant improvements in the total BML size of MTF joint (p < 0.001). The VAS scores and KOOS pain scores improved better in patients without postoperative MTF joint BMLs (p < 0.001). Postoperative MTF joint BMLs were correlated with postoperative VAS (p < 0.001) and KOOS pain (p < 0.001). Our study demonstrates that MTF joint BMLs improved significantly after OWTHO. We confirmed that the presence of postoperative MTF joint BMLs are strongly associated with pain severity. The greater the improvement in postoperative MTF joint BMLs, the less pain. Our findings provide valuable understandings of OWHTO in the treatment of knee osteoarthritis (KOA) and potential future directions for KOA treatment approaches.

A Novel Application of Unsupervised Machine Learning and Supervised Machine Learning-Derived Radiomics in Anterior Cruciate Ligament Rupture.

PURPOSE: We aim to present an unsupervised machine learning application in anterior cruciate ligament (ACL) rupture and evaluate whether supervised machine learning-derived radiomics features enable prediction of ACL rupture accurately. PATIENTS AND METHODS: Sixty-eight patients were reviewed. Their demographic features were recorded, radiomics features were extracted, and the input dataset was defined as a collection of demographic features and radiomics features. The input dataset was automatically classified by the unsupervised machine learning algorithm. Then, we used a supervised machine learning algorithm to construct a radiomics model. The t-test and least absolute shrinkage and selection operator (LASSO) method were used for feature selection, random forest and support vector machine (SVM) were used as machine learning classifiers. For each model, the sensitivity, specificity, accuracy, and the area under the curve (AUC) of receiver operating characteristic (ROC) curves were calculated to evaluate model performance. RESULTS: In total, 5 demographic features were recorded and 106 radiomics features were extracted. By applying the unsupervised machine learning algorithm, patients were divided into 5 groups. Group 5 had the highest incidence of ACL rupture and left knee involvement. There were significant differences in left knee involvement among the groups. Forty-three radiomics features were extracted using t-test and 7 radiomics features were extracted using LASSO method. We found that the combination of LASSO selection method and random forest classifier has the highest sensitivity, specificity, accuracy, and AUC. The 7 radiomics features extracted by LASSO method were potential predictors for ACL rupture. CONCLUSION: We validated the clinical application of unsupervised machine learning involving ACL rupture. Moreover, we found 7 radiomics features which were potential predictors for ACL rupture. The study indicated that radiomics could be a valuable method in the prediction of ACL rupture.

Risk factors of prehypertension and hypertension among workers at public elderly welfare facilities in Taiwan: A cross-sectional survey.

ABSTRACT: The prevalence and factors that influence prehypertension and hypertension in workers at elderly welfare facilities remain unknown. This study investigated prehypertension and hypertension as well as the relevant factors affecting the development of these conditions in workers at elderly welfare facilities.A cross-sectional survey was conducted among 242 workers at 3 elderly welfare facilities in northern Taiwan. A structured questionnaire survey comprising demographic characteristics, job characteristics, burnout inventory, and health information was employed for data collection. Chi-Squared tests and multinomial logistic regression were adopted to analyze the correlation between research variables and blood pressures as well as relevant factors influencing prehypertension and hypertension.The results indicated that sex, age, education level, type of work shift, work-related burnout, and body mass index of the research participants were significantly correlated with prehypertension and hypertension. The results of multinominal logistic regression demonstrated that being male, being older, being a nonnurse assistant, being obese, working in shifts, and having moderate or severe work-related burnout were associated with higher risks of prehypertension and hypertension. The interaction between age and being a nonnurse assistant was statistically significant. Compared with nonnurse assistants, nurse assistants aged ≥55 years had a relatively low risk of prehypertension and hypertension.Age, job characteristics, work-related burnout, and obesity of workers in elderly welfare facilities were the major risk factors for prehypertension and hypertension.

Copper(I)-Catalyzed Enyne Oxidation/Cyclopropanation: Divergent and Enantioselective Synthesis of Cyclopropanes.

An efficient copper(I)-catalyzed enyne oxidation/cyclopropanation for the modular synthesis of cyclopropane derivatives is described, which represents the first non-noble metal-catalyzed enynes oxidation/cyclopropanation by the in situ generated α-oxo copper carbenes. This protocol allows the assembly of valuable cyclopropane-γ-lactams in generally good to excellent yields with excellent diastereoselectivity. More significantly, the enantioselective version of enyne oxidation/cyclopropanation has been disclosed with chiral copper catalysts.

Application of DNA barcoding technology to national drug sampling inspection / 药学学报

Adulterants and counterfeits were found in some of the commercial traditional Chinese medicine (TCM) decoctions in Hongjin Xiaojie Jiaonang, Hongjin Xiaojie Pian, and Chaihuang Keli during the national drug sampling inspection. However, it was difficult to determine the species of the adulterants and counterfeits by conventional testing methods. Therefore, a total of 184 samples of the TCM decoctions and raw materials belong to the prescriptions of above mentioned traditional Chinese patent medicines, including Bupleuri Radix, Bajiaolian, Heimayi, and Shufuchong, were collected and authenticated by DNA barcoding technology. 111 ITS2 sequences were obtained from 115 commercial TCM decoctions and raw materials of Bupleuri Radix, among which 71 were Bupleurum chinense, three were B. scorzonerifolium, and 31 were closely related species in the same genus. In addition, counterfeits derived from different genera, such as Ailanthus altissima (one sample), Saposhnikovia divaricate (two samples), and Solidago decurrens (three samples), were also detected. 21 ITS2 sequences were obtained from 22 commercial TCM raw materials of Bajiaolian, among which 15 were Diphylleia sinensis and six were Dysosma versipellis and other species in genus Dysosma. For 22 Heimayi samples, PCR amplification of COI sequence was failed due to genomic DNA degradation. Among 38 Shufuchong samples, 24 COI sequences were obtained and only nine of them were the genuine species (Armadillidium vulgare) recorded in the Chinese Pharmacopoeia, 11 were Porcellio laevis, two were Mongoloniscus sinensis, and two samples could not be identified due to the limitation of database. This study demonstrates that DNA barcoding technology is suitable for the species authentication of the decoctions of traditional Chinese patent medicine prescription. It is a conductive way for the establishment of traceability system for the whole TCM industrial chain.

The diagnosis and treatment analysis of abdominal involvement in 229 children with IgA vasculitis / 中国小儿急救医学

Objective:To summarize the diagnosis and treatment process of abdominal involvement in 229 children with IgA vasculitis and to provide reference for clinic treatment.Methods:A total of 229 pediatric patients, diagnosed as IgA vasculitis with abdominal involvement admitted to the Department of Pediatric Nephrology of Shengjing Hospital, China Medical University from January 1st 2018 to December 31st 2019, were retrospectively analyzed in the study and were divided into three groups according to Numerical Rating Scale to compare indexes in different degrees of abdominal pain.Results:The duration of hospitalization was related with degree of abdominal pain, as the more severe the abdominal pain was, the longer the hospitalization time was( P<0.001). The incidence of bloody stool were also proportionate to the degree of abdominal pain( P<0.001). With the aggravation of abdominal pain, the proportion of intestinal wall edema increased, as the highest proportion was severe group( P<0.001). The proportion of renal involvement in severe group was significantly higher than that in non-severe group( P<0.001). Twenty cases of intestinal wall edema with decreasing of albumin were treated by intravenous hormone therapy after albumin infusion as the results of no intestinal complications occurred.Compared with the mild and moderate groups, the white blood cells of the severe group were higher( P<0.001)and the albumin was lower( P<0.05). It was no significant difference in hemoglobin, serum amylase and serum lipase among three groups.The mean value of CRP had no difference among three groups and was higher than that of normal.Interleukin(IL)-6 in severe group was higher than that in other two groups( P<0.05), but there was no significant difference in IL-2, IL-4, IL-10, IL-17 and tumor necrosis factor.In terms of treatment, 40 cases were treated with immunoglobulin and four cases with hemoperfusion.The average duration of intravenous glucocorticoid application was related to the degree of abdominal pain among three groups.The longest duration was severe group(16.00±6.91)d and the shortest one was mild group(6.71±3.75)d. Conclusion:Pediatric patients diagnosed as IgA vasculitis with severe abdominal pain whose part of inflammatory indexes increased and albumin decreased obviously should complete imaging examinations to evaluate the extent of intestinal wall edema.If diagnosed as hypoalbuminemia and intestinal wall edema distinctly, hormone therapy should be given after albumin infusion to prevent severe complications such as intestinal perforation.For pediatric patients of IgA vasculitis with severe abdominal symptoms, on the basis of hormone therapy, immunoglobulin and hemoperfusion could be used to quickly remove abnormal immune substances to slow down the disease.

Tranexamic Acid Is Beneficial to Patients Undergoing Open-Wedge High Tibial Osteotomy.

The purpose of this study was to investigate the efficacy of tranexamic acid (TXA) in patients undergoing open-wedge high tibial osteotomy (OWHTO). Patients from August 2018 to May 2020 were retrospectively studied. Clinical data were obtained including gender, age, height, weight, body mass index (BMI), smoking, alcohol consumption, hypertension, diabetes, history of aspirin, prepostoperative hematocrit (Hct) and hemoglobin (Hb), thrombotic events, blood transfusion requirement, hospital length of stay, size of osteotomy gap, and wound complications such as wound hematoma and infection. 52 patients were enrolled in the tranexamic acid group (TA group), and 48 patients were enrolled in the nontranexamic acid group (NTA group); there were no significant differences between both groups in terms of gender, age, BMI, preoperative Hb, size of osteotomy gap, incidence of smoking, alcohol consumption, hypertension, diabetes, history of aspirin, thrombotic events, blood transfusion requirement, and wound hematoma and infection. The mean hospital length of stay was 9.4 ± 1.0 days in the TA group and 11.0 ± 1.2 days in the NTA group (P < 0.001), the blood loss was 296.0 ± 128.7 ml in the TA group and 383.3 ± 181.3 ml in the NTA group (P < 0.05), and the postoperative Hb level was 120.8 ± 15.0 g/l in the TA group and 109.5 ± 13.8 g/l in the NTA group (P < 0.001). In conclusion, the administration of TXA is beneficial to patients undergoing OWHTO via decreasing hospital length of stay, reducing blood loss, and maintaining higher postoperative Hb levels.

Cu(I)-Catalyzed Oxidative Cyclization of Enynamides: Regioselective Access to Cyclopentadiene Frameworks and 2-Aminofurans.

An efficient Cu(I)-catalyzed oxidative cyclization of alkynyl-tethered enynamides for the construction of fused bicyclic cyclopentadiene derivatives is disclosed. The cascade proceeds through alkyne oxidation, carbene/alkyne metathesis, and formal (3 + 2) cycloaddition. Employing aryl-tethered enynamides as starting materials, substituted 2-aminofurans can be exclusively formed.

Deep Learning in CT Images: Automated Pulmonary Nodule Detection for Subsequent Management Using Convolutional Neural Network.

PURPOSE: The purpose of this study is ï»¿to compare the detection performance of the 3-dimensional convolutional neural network (3D CNN)-based computer-aided detection (CAD) models with radiologists of different levels of experience in detecting pulmonary nodules on thin-section computed tomography (CT). PATIENTS AND METHODS: We retrospectively reviewed 1109 consecutive patients who underwent follow-up thin-section CT at our institution. The 3D CNN model for nodule detection was re-trained and complemented by expert augmentation. The annotations of a consensus panel consisting of two expert radiologists determined the ground truth. The detection performance of the re-trained CAD model and three other radiologists at different levels of experience were tested using a free-response receiver operating characteristic (FROC) analysis in the test group. RESULTS: The detection performance of the re-trained CAD model was significantly better than that of the pre-trained network (sensitivity: 93.09% vs 38.44%). The re-trained CAD model had a significantly better detection performance than radiologists (average sensitivity: 93.09% vs 50.22%), without significantly increasing the number of false positives per scan (1.64 vs 0.68). In the training set, 922 nodules less than 3 mm in size in 211 patients at high risk were recommended for follow-up CT according to the Fleischner Society Guidelines. Fifteen of 101 solid nodules were confirmed to be lung cancer. CONCLUSION: The re-trained 3D CNN-based CAD model, complemented by expert augmentation, was an accurate and efficient tool in identifying incidental pulmonary nodules for subsequent management.

Patient Characteristics Related to Blood Loss in High Tibial Osteotomy in Novel Multiple Linear Regression Analysis.

The purpose of the study was to identify patient characteristics related to blood loss following high tibial osteotomy (HTO). We evaluated 48 patients undergoing HTO from August 2018 to August 2019. The data of 48 patients were collected, including gender, age, height, weight, body mass index (BMI), smoking, alcohol consumption, hypertension, diabetes, history of aspirin, and pre-postoperative hematocrit (Hct). Multiple linear regression analysis was used to analyze the risk factors related to blood loss in HTO. The mean age of patients was 56.6 ± 10.2 years, including 22 males and 26 females. The mean BMI was 28.5 ± 4.2 kg/m2, and the mean blood loss volume was 383.3 ± 181.3 mL, 13 patients with smoking (27.1%), 15 patients with alcohol consumption (31.3%), 23 patients with hypertension (47.9%), 10 patients with diabetes mellitus (20.8%), and 12 patients with history of aspirin (25.0%). Multiple linear regression model suggested alcohol consumption and BMI were associated with blood loss in HTO, R 2 = 0.451, F(9, 38) = 3.462 (P < 0.05). Our study indicates that alcohol consumption and BMI are important risk factors related to blood loss in HTO.