ObjectiveGliomas in the motor functional area can damage the corticospinal tract (CST), leading to motor dysfunction. Currently, there is a lack of unified methods for evaluating the extent of CST damage, especially in patients with high surgical risk where the minimum distance from the lesion to the CST is less than 10 mm. This study aims to further clarify the classification method and clinical significance of CST morphological changes in these patients. MethodsThis retrospective study analyzed 109 high-risk functional area glioma patients who underwent neurosurgical treatment with preoperative diffusion tensor imaging (DTI) imaging and intraoperative neurostimulation guidance between 2014 and 2024. All patients had a lesion-to-tract distance (LTD) of less than 10 mm between the CST and the lesion. Preoperative DTI evaluation of CST involvement-induced morphological changes were reviewed. Patients were divided into 3 groups: 17 cases (15.6%) with symmetric CST morphology compared to the healthy side (CST symmetry), 48 cases (44.0%) with significant CST morphology changes compared to the healthy side (CST deformation), and 44 cases (40.4%) with CST overlap with the tumor (CST overlap). Then we classified patients according to preoperative assessment of tumor-induced morphological changes, and analyze postoperative motor function for each category. ResultsPostoperative pathology showed a significantly higher proportion of high-grade gliomas (HGG) in the CST overlap group compared to the other two groups (P=0.001). Logistic regression analysis showed that CST overlap was a predictor of HGG (P=0.000). The rate of total tumor resection in the CST deformation group and overlap group was lower than in the CST symmetric group (P=0.008). There was a total of 41 postoperative hemiplegic patients, with 4 cases (23.5%) in the CST symmetric group, 11 cases (22.9%) in the CST deformation group, and 26 cases (59.1%) in the CST overlap group. CST overlap with the tumor predicted postoperative hemiplegia (P=0.016). Two-way ANOVA analysis of the affected/healthy side and CST morphology groups showed significant main effects of CST grouping and healthy-affected side (P=0.017 and P=0.010), with no significant interaction (P=0.31). The fractional anisotropy (FA) value in the CST overlap group and the affected side was lower. A decrease in the FA value on the affected side predicted postoperative hemiplegia (sensitivity 69.2%, specificity 71.9%). ConclusionWe have established a method to predict postoperative hemiplegia in high-risk motor functional area glioma patients based on preoperative CST morphological changes. CST overlap leads to a decrease in CST FA values. This method can be used for precise patient management and aid in accurate preoperative surgical planning.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

In recent decades, the prevalence of hyperuricemia and gout has increased dramatically due to lifestyle changes. The drugs currently recommended for hyperuricemia are associated with adverse reactions that limit their clinical use. In this study, we report that berberine (BBR) is an effective drug candidate for the treatment of hyperuricemia, with its mechanism potentially involving the modulation of gut microbiota and its metabolite, succinic acid. BBR has demonstrated good therapeutic effects in both acute and chronic animal models of hyperuricemia. In a clinical trial, oral administration of BBR for 6 months reduced blood uric acid levels in 22 participants by modulating the gut microbiota, which led to an increase in the abundance of Bacteroides and a decrease in Clostridium sensu stricto_1. Furthermore, Bacteroides fragilis was transplanted into ICR mice, and the results showed that Bacteroides fragilis exerted a therapeutic effect on uric acid similar to that of BBR. Notably, succinic acid, a metabolite of Bacteroides, significantly reduced uric acid levels. Subsequent cell and animal experiments revealed that the intestinal metabolite, succinic acid, regulated the upstream uric acid synthesis pathway in the liver by inhibiting adenosine monophosphate deaminase 2 (AMPD2), an enzyme responsible for converting adenosine monophosphate (AMP) to inosine monophosphate (IMP). This inhibition resulted in a decrease in IMP levels and an increase in phosphate levels. The reduction in IMP led to a decreased downstream production of hypoxanthine, xanthine, and uric acid. BBR also demonstrated excellent renoprotective effects, improving nephropathy associated with hyperuricemia. In summary, BBR has the potential to be an effective treatment for hyperuricemia through the gut-liver axis.

Objective To optimize the oxygen therapy regimens for infants with pulmonary diseases during bronchoscopy.Methods A prospective randomized,controlled,and single-center clinical trial was conducted on 42 infants who underwent electronic bronchoscopy from July 2019 to July 2021.These infants were divided into a nasal cannula(NC)group and a modified T-piece resuscitator(TPR)group using a random number table.The lowest intraoperative blood oxygen saturation was recorded as the primary outcome,and intraoperative heart rate and respiratory results were recorded as the secondary outcomes.Results Compared with the NC group,the modified TPR group had a significantly higher level of minimum oxygen saturation during surgery and a significantly lower incidence rate of hypoxemia(P<0.05).In the modified TPR group,there were 6 infants with mild hypoxemia,2 with moderate hypoxemia,and 1 with severe hypoxemia,while in the NC group,there were 3 infants with mild hypoxemia,5 with moderate hypoxemia,and 9 with severe hypoxemia(P<0.05).The modified TPR group had a significantly lower incidence rate of intraoperative respiratory rhythm abnormalities than the NC group(P<0.05),but there was no significant difference in the incidence rate of arrhythmias between the two groups(P>0.05).Conclusions Modified TPR can significantly reduce the risk of hypoxemia in infants with pulmonary diseases during electronic bronchoscopy,and TPR significantly decreases the severity of hypoxemia and the incidence of respiratory rhythm abnormalities compared with traditional NC.

Objective:To summarize the clinical features of reversible posterior encephalopathy syndrome(PRES)after allogeneic hematopoietic stem cell transplantation(allo-HSCT)in children.Methods:The clinical data of six children who developed PRES after undergoing allo-HSCT in the Department of Hematology of Wuhan Children's Hospital from June 2016 to December 2022 were retrospectively analyzed,and their clinical characteristics,imaging examination,laboratory examination,and treatment regression were summarized.Results:Among 281 children underwent allo-HSCT,6 cases(2.14％)developed PRES,with a median age of 5.1(1.5-9.7)years old.4 cases underwent related haploidentical donor transplantation,and 2 cases underwent sibling allografting and unrelated donor allografting donor transplantation,respectively.All six children had an acute onset of illness,with clinical manifestations of nausea and vomiting,seizures,psychiatric disorders,visual disturbances.The five cases elevated blood pressure.All children with PRES were treated with oral immunosuppressive drugs during seizures,and 3 cases were combined with different degrees of graft-versus-host disease.Most of the children showed effective improvement in clinical symptoms and imaging after adjusting/discontinuing suspected medications(cyclosporine,etc.)and symptomatic supportive treatments(oral antihypertensive,diazepam for antispasmodic,mannitol to lower cranial blood pressure),and one of them relapsed more than 8 months after the first seizure.Conclusion:PRES is rare after hematopoietic stem cell transplantation in children,and its onset may be related to hypertension,cytotoxic drugs,graft-versus-host disease,etc.Most of them can be recovered after active treatment,but not completely reversible,and the prognosis of those who combined with TMA is poor.

At present,multiple renal denervation(RDN)devices with their own specific characteristics are being developed.The Iberis circular 4-electrode radiofrequency ablation catheter was used in this study,which was a new RDN device with independent intellectual property rights(produced by AngioCare Medical Technology Company,Shanghai).Recently,the efficacy has been validated in Iberis-HTN randomized,sham-operated controlled clinical trial,and the following case that was enrolled into Iberis-HTN study could elaborate its features.

Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets [321 patients with AD, 265 patients with mild cognitive impairment (MCI), 279 normal controls (NC)], a unified pipeline, and independent site cross-validation. Automated fiber quantification was used to extract diffusion profiles along tracts. Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC. Machine learning models using tract-based features showed good generalizability among independent site cross-validation. The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups. We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.
Humans ; White Matter/diagnostic imaging* ; Diffusion Tensor Imaging/methods* ; Alzheimer Disease/complications* ; Reproducibility of Results ; Cognition ; Cognitive Dysfunction/complications* ; Brain/diagnostic imaging*

OBJECTIVE To establish the HPLC fingerprint of Xintongshu spray， determine the contents of identified components， and investigate the transferring patterns of the index components of decoction pieces， intermediates and spray， so as to provide scientific reference for technology management and quality control of Xintongshu spray. METHODS HPLC fingerprints of 13 batches of Xintongshu spray were established by the Similarity Evaluation System for Chromatographic Fingerprints of TCM （2012 edition）， and common peaks were identified； the contents of identified components were determined by HPLC. The paeonol in Moutan Cortex and ferulic acid in Chuanxiong Rhizoma were used as index components to investigate the transferring patterns of them in decoction pieces， intermediates and spray. RESULTS There were a total of 33 common peaks in the fingerprints of 13 batches of Xintongshu spray， and the similarities were more than 0.994. Eight components were identified， i.e. gallic acid （peak 5）， oxypaeoniflorin （peak 9）， chlorogenic acid（peak 10）， caffeic acid （peak 14）， paeoniflorin （peak 17）， ferulic acid （peak 21）， senkyunolide Ⅰ （peak 27） and paeonol （peak 31）. The contents of 8 components ranged from 0.590 3- 0.719 7， 0.565 7-0.851 3， 0.279 4-0.368 1， 0.080 6-0.106 1， 1.922 5-3.033 5， 0.151 3-0.191 6， 0.250 6-0.336 0， 3.056 7-4.161 0 mg/mL， respectively. The average transfer rates of paeonol and ferulic acid from decoction pieces to sprays were 63.76% and 38.06%， respectively. It was also found that the process in which the loss of paeonol was more than 30% was the extraction by percolation and negative pressure concentration of Moutan Cortex. The process in which the loss of ferulic acid was more than 50% was the steam distillation extraction process of Chuanxiong Rhizoma. CONCLUSIONS The established HPLC fingerprint and content determination method of Xintongshu spray are reproducible and specific. The key processes that cause a decrease in the average transfer rates of the index components are the extraction by percolation and negative pressure concentration of Moutan Cortex and steam distillation extraction of Chuanxiong Rhizoma.

Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
Humans ; Male ; Female ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Deep Learning ; Reproducibility of Results ; Radiography ; Algorithms ; Cone-Beam Computed Tomography