Objective:To evaluate any effect of transcranial pulsed current stimulation (tPCS) on the motor functioning of rats modelling stroke using the Catwalk gait analysis system.Methods:A stroke model was induced in 24 rats using middle cerebral artery embolization. They were then randomly divided into a sham operation group, a model group and a tPCS group, each of 8. Neurological deficit scores were assigned 1 day after the modeling. Beginning two days after the modeling the tPCS group was given 20 minutes of tPCS daily with an intensity of 0.2mA at 10Hz for 7 days. Gait data were collected using the Catwalk gait system 1 day before, as well as 1 and 9 days after the modeling.Results:Nine days after the modeling the average Bederson neuroethology score of the tPCS group was significantly lower than one day after the modelling and significantly lower than the model group′s average. One day after the modelling significant differences were observed in the model and tPCS groups in the average contact area of the affected limb′s paw prints, limb swing speed, stride length, limb speed, swing time, average running speed and standing time compared with before the operation. After nine days the average standing time on the affected fore and hind limbs, as well as the paw contact areas were significantly better in the tPCS group than in the model group.Conclusion:tPCS can promote improvements in gait after ischemia and reperfusion, at least in rats.

Objective To investigate the optimal timing of indomethacin administration on prevention of post-endoscopic retrograde cholangiopancreatography ( ERCP ) pancreatitis. Methods The patients were randomly divided into the preoperative group and the postoperative group, and given 100 mg indomethacin in rectum within 30 min before and after ERCP, respectively. The serum levels of amylase and lipase were measured preoperatively and 4 h, 24 h postoperatively. The incidences of postoperative complications such as acute pancreatitis, hyperamylasemia, gastrointestinal bleeding, and perforation were assessed. Results A total of 340 patients were enrolled in this study from June 2014 to June 2017. The preoperative group consisted of 163 patients, including 11 cases ( 6. 75％) with post-ERCP pancreatitis ( PEP ) and 32 cases ( 19. 63％) with hyperamylasemia. Meanwhile, 177 patients constituted the postoperative group, with 25 cases ( 14. 12％) with PEP and 55 cases ( 31. 07％) with hyperamylasemia. The incidences of PEP and hyperamylasemia were significantly lower in the preoperative group than that in the postoperative group ( P = 0. 027 and P = 0. 016, respectively ) . Conclusion Preoperative use of indomethacin can better reduce the incidence of PEP than postoperative administration, without incidence increase of other complications.

Diabetic retinopathy (DR) is an important cause of blindness globally, and its prevalence is increasing. Early detection and intervention can help change the outcomes of the disease. The rapid development of artificial intelligence (AI) in recent years has led to new possibilities for the screening and diagnosis of DR. An AI-based diagnostic system for the detection of DR has significant advantages, such as high efficiency, high accuracy, and lower demand for human resources. At the same time, there are shortcomings, such as the lack of standards for development and evaluation and the limited scope of application. This article demonstrates the current applications of AI in the field of DR, existing problems, and possible future development directions.
Artificial Intelligence ; Blindness ; Diabetes Mellitus ; Diabetic Retinopathy/diagnosis* ; Humans ; Mass Screening

Objective:To evaluate the effect of prophylactic irradiation of internal mammary lymph nodes in patients with breast cancer in this Meta-analysis.Methods:CNKI, Wanfang Medical network, CBM, PubMed, EMBASE and Web of Science were searched by computer. The controlled clinical studies comparing whether or not internal mammary lymph node irradiation as an intervention were included and the quality of the included literature was evaluated according to Newcastle-Ottawa Scale (NOS). RevMan 5.3 software and Stata 14 software were used for Meta-analysis.Results:A total of 11 original articles were included, and 13 181 patients were included for Meta-analysis. There was no statistically significant difference in the overall survival (OS) between patients with and without internal mammary lymph node irradiation ( P=0.490). The subgroup analysis using the date of treatment and the degree of risk in the enrolled population as criteria showed that 5-year OS was significantly increased after internal mammary area irradiation in high-risk stage Ⅱ-Ⅲ patients (N+ , T 3-T 4 stage) with the date of treatment of after 2000( P=0.003, 0.006). Compared with patients without internal mammary area irradiation, internal mammary irradiation significantly increased the 5-year disease-free survival (DFS)( P<0.001). Conclusion:Under the modern radiotherapy technology, internal mammary lymph node irradiation improves the DFS of patients, and may bring OS benefits to high-risk stage Ⅱ-Ⅲ breast cancer patients (N+ , T 3-T 4 stage).

Objective:To investigate the value of preoperative prediction of Ki-67 expression status in breast cancer based on multi-phase enhanced MRI combined with clinical imaging characteristics prediction model.Methods:This study was retrospective. A total of 213 breast cancer patients who underwent surgical treatment at Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College between June 2016 and May 2017 were enrolled. All patients were female, aged 24-78 (51±10) years, and underwent routine breast MRI within 2 weeks prior to surgery. According to the different Ki-67 expression of postoperative pathological results, patients were divided into high expression group (Ki-67≥20%, 153 cases) and low expression group (Ki-67<20%, 60 cases). The radiomic features of breast cancer lesions were extracted from phase 2 (CE-2) and phase 7 (CE-7) images of dynamic contrast enhanced (DCE)-MRI, and all cases were divided into training and test sets according to the ratio of 7∶3. The radiomic features were first selected using ANOVA and Wilcoxon signed-rank test, followed by the least absolute shrinkage and selection operator method regression model. The same method of parameters selection was applied to clinical information and conventional imaging features [including gland classification, degree of background parenchymal enhancement, multifocal/multicentric, lesion location, lesion morphology, lesion long diameter, lesion short diameter, T 2WI signal characteristics, diffusion-weighted imaging (DWI) signal characteristics, apparent diffusion coefficient (ADC) values, time-signal intensity curve type, and axillary lymph nodes larger than 1 cm in short axis]. Support vector machine (SVM) was then used to construct prediction models for Ki-67 high and low expression states. The predictive performance of the models were evaluated using receiver operating characteristic (ROC) curves and area under cueve(AUC). Results:Totally 1 029 radiomic features were extracted from CE-2 and CE-7 images, respectively, and 9 and 7 best features were obtained after selection, respectively. And combining the two sets of features for a total of 16 features constituted the CE-2+CE-7 image best features. Five valuable parameters including lesion location, lesion short diameter, DWI signal characteristics, ADC values, and axillary lymph nodes larger than 1 cm in short axis, were selected from all clinical image features. The SVM prediction models obtained from the radiomic features of CE-2 and CE-7 images had a high AUC in predicting Ki-67 expression status (>0.70) in both the training set and the test set. The models were constructed by combining the CE-2, CE-7, and CE-2+CE-7 radiomic features with clinical imaging features, respectively, and the corresponding model performance in predicting Ki-67 expression status was improved compared with the models obtained by using the CE-2, CE-7, and CE-2+CE-7 radiomic features alone. The SVM prediction model obtained from CE-2+CE-7 radiomic features combined with clinical imaging features had the best prediction performance, with AUC of 0.895, accuracy of 84.6%, sensitivity of 87.9%, and specificity of 76.2% for predicting Ki-67 expression status in the training set and AUC of 0.822, accuracy of 70.3%, sensitivity of 76.1%, and specificity of 55.6% in test sets.Conclusion:The SVM prediction model based on DCE-MRI radiomic features can effectively predict Ki-67 expression status, and the combination of radiomic features and clinical imaging features can further improve the model prediction performance.

Objective The amplitude of low-frequency fluctuation(ALFF)resting state functional magnetic resonance imaging(rs-fMRI)was used to investigate the signals image in the brain functional areas of overactive bladder(OAB)patients.Methods OAB patients treated in 3 participating hospitals during Mar.2021 and Mar.2023 were selected as the OAB group(n=14).Healthy subjects matching the gender,age and years of education of the patients in the OAB group were collected as the control group(NC group,n=14).Changes in the over active bladder symptom score(OABSS),quality of life scale(QoL),self-rating depression scale(SDS),self-rating anxiety scale(SAS)were analyzed.All subjects underwent rs-fMRI to collect blood oxygen level dependent magnetic resonance signals,which were then processed with ALFF.Two-sample t-test was conducted on the results to obtain the different brain regions.Results The OABSS[(8.07±0.37)vs.(1.21±0.18)],QoL[(4.85±0.21)vs.(0.64±0.13)],SAS[(60.14±1.40)vs.(37.64±1.57)]and SDS[(52.50±1.29)vs.(36.14±0.34)]scores of the OAB group were higher than those of the NC group,with significant differences(P＜0.05).The brain regions with significant differences in ALFF were located in the left supplementary motor area,left medial superior frontal gyrus and right anterior central gyrus(P＜0.000 1).Conclusion The abnormal spontaneous activity and coordination ability of the brain in resting state may lead to OAB symptoms,which are displayed in the abnormal functions of the left supplementary motor area,left medial superior frontal gyrus and right anterior central gyrus.