Congenital lower urinary tract obstruction (CLUTO) is a spectrum of fetal malformations caused by anatomical abnormalities of the urethra, characterized by high rates of perinatal complications and mortality. The 2024 joint guideline from the European Association of Urology (EAU) and the European Society for Paediatric Urology (ESPU) introduced systematic revisions to the comprehensive management of CLUTO. Key updates encompass advancements in prenatal and postnatal screening and precise diagnosis, refined fetal prognosis assessment, clearer indications and modality selection for prenatal intervention, optimization of postnatal treatment strategies, and the establishment of a lifelong follow-up framework within an integrated care pathway. This article elucidates these key updates by comparing the 2024 EAU/ESPU guideline with the 2022 European Rare Kidney Disease Reference Network (ERKNet) consensus. It also discusses ongoing controversies and future research directions. The aim is to provide clinicians with the latest evidence-based insights to inform practice, ultimately improving outcomes and quality of life for children with CLUTO.
Humans ; Urology ; Female ; Urethral Obstruction/therapy* ; Pregnancy ; Child ; Europe ; Prenatal Diagnosis ; Infant, Newborn ; Urethra/abnormalities*

Sepsis is a clinical syndrome resulting from infection followed by inflammation and is one of the significant causes of mortality worldwide. The underlying reason is the host′s uncontrolled inflammatory response to an infection, which leads to multiple organ dysfunction. It not only aggravates the condition, but also leads to a poor prognosis. Neutrophils are involved in many physiological and pathological processes in the human body and are forerunners to reach the site of infection/inflammation for clearing the infection and resolute the inflammation during sepsis. In addition, under the stimulation of pathogens, neutrophils can release a special network structure containing a variety of protein components and DNA as the skeleton, which is named neutrophil extracellular traps (NETs). Although NETs can kill pathogens, excess NETs have a significant influence on the pathogenesis of sepsis-induced multiple organ damage, including lung, kidney, and liver damage. This review aims to introduce the role of NETs in sepsis and organ dysfunction, hoping to provide new ideas for the treatment of sepsis.

Objective:To investigate the incidence of hearing loss among helicopter flying personnel, and to analyze the contributing factors.Methods:Basic data of 443 male helicopter flying personnel who received physical examinations at Beidaihe Rehabilitation and Recuperation Center of PLA between March and June 2024 was collected. The hearing threshold levels were measured at 8 frequencies: 250, 500, 1 000, 2 000, 3 000, 4 000, 6 000 and 8 000 Hz. Routine blood tests and blood biochemical tests were performed. Based on the results of pure-tone audiometry, the participants were divided into 2 groups: the hearing loss group (hearing threshold ≤20 dB HL) and the normal hearing group (hearing threshold >20 dB HL). The basic data, routine blood results, and blood biochemical indicators were compared between the 2 groups before the contributors to hearing loss were analyzed.Results:A total of 443 helicopter flying personnel were included in the study, with 82 cases (18.51%) in the hearing loss group and 361 cases (81.49%) in the normal hearing group. There were significant differences in age and pulse between the flying personnel in the 2 groups ( t=2.13, 2.78, P=0.034, 0.006). Among the blood routine indicators, only the mean platelet volume (MPV) was significantly different ( t=2.26, P=0.025). Among the blood biochemical indicators, only homocysteine (HCY) revealed statistically significant difference ( Z=2.30, P=0.021). The determinants of hearing loss in helicopter flying personnel were age ( OR=1.046, 95% CI: 1.060-1.361), pulse ( OR=1.201, 95% CI: 1.060-1.361), MPV ( OR=1.365, 95% CI: 1.016-1.834) and HCY ( OR=1.065, 95% CI: 1.033-1.097). Conclusions:Age, pulse, the MPV and HCY levels can all contribute to hearing loss, and the MPV and HCY can serve as potential biomarkers for hearing loss in helicopter flying personnel. Potential hearing loss should be detected early and personalized interventions should be implemented. Noise exposure should be monitored more rigorously to reduce the risk of occupational hearing loss for helicopter flying personnel and ensure flight safety.

Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The technology holds broad application prospects in the medical field, enabling the processing of various imaging modalities, multidimensional imaging, and medical video imaging. This study elaborates on general image and video compression algorithms, the application of compression algorithms in the medical field, and the performance metrics of medical image compression, thereby providing critical technical support for enhancing clinical diagnostic efficiency and data management security.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Clinically,patients with high-risk cholecystitis are often facing the therapeutic choice of permanent cholecystostomy drainage or high-risk surgery.With the development of percutaneous interventional therapy techniques in recent years,minimally invasive treatment have provided more therapeutic options for these patients.Cryoablation,chemical ablation,and gallbladder-intestine anastomosis are considered as the promising methods for the treatment of cholecystitis.Different combinations of percutaneous cholecystostomy(PC)with sequential cryoablation,chemical ablation,or gallbladder-intestine internal drainage have achieved a high success rate in treating cholecystitis,thus,providing patients with an option of non-surgical resection.This article aims to make a comprehensive review about various percutaneous treatment methods for cholecystitis so as to provide useful references for clinical practice.

Objective To explore the current status of big language models in recommending intervention disciplines and interventional therapies.Methods Four mainstream models,including Kimi k1.5,Doubao,DeepSeek-Rl and ChatGPT-4o were selected,and the standardized questions("recommended departments"and"treatment methods")for 18 common interventional diseases were designed.Through three repeated tests,the recommendation data were collected,and SPSS 25.0 was used to perform statistical analysis.Results Major language models recommended interventional physicians and their treatment methods to a certain extent,among which lower limb arterial occlusion and Stanford B-type aortic dissection in circulatory system diseases got the highest recommendation rates(100％)in interventional medicine and interventional treatment respectively,ranking among the top three recommendations.In contrast,benign prostatic hyperplasia had the lowest recommendation rate,with no recommendations for either interventional department or interventional treatment.Conclusion Large language models show disease-specific differences in recommendations for interventional radiology.Among the diseases involved in this study,circulatory system diseases have the highest referral degree,while urogenital system diseases have the lowest.The training data of the models need to further strengthen the coverage of scenario data related to the interventional department and its treatment methods,so as to gradually improve the social awareness of the interventional department.

Objective:To analyze the results of next generation sequencing (NGS) gene testing in liquid-based cytological specimens of lung adenocarcinoma cavity and evaluate the clinical efficacy of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) treatment.Methods:Liquid based cytological specimens of 222 cases of lung adenocarcinoma with cavity effusion and 201 cases of metastatic lymph node biopsy were collected. Specimens were obtained from the Cytology Laboratory of the Cancer Hospital of the Chinese Academy of Medical Sciences. The collection period was from January 2018 to December 2022. The results of NGS gene detection were compared. The clinical efficacy of 91 patients treated with EGFR-TKI was evaluated, and the survival curve was analyzed by Kaplan-Meier and other statistical methods.Results:The mutation rates of cancer-related genes detected by NGS were 82.0% (182/222) vs 79.1% (159/201), ( P=0.455) in liquid-based cytological specimens and histological specimens of metastatic lymph node biopsy, respectively. However, the mutation rate of EGFR T790M was significantly higher in cavity effusion than in lymph node biopsy specimens [12.2%(27/222)＞3.5%(7/201), P=0.001]. The results of gene mutation were identical in 10 of the 13 cases with cavity effusion and metastatic lymph node biopsy, and the agreement rate of EGFR was 84.6%(11/13). In 3 inconsistent cases, EGFR mutations were detected in 2 cavity effusion cases that were not detected by lymph node biopsy. Results of genetic analysis of fluid-based cytological samples of 91 patients with cavity effusion were evaluated after drug treatment with EGFR-TKI. The mean progression-free survival (PFS) of the patients was 11.4 months (95% CI: 9.9-12.9). The mean PFS of patients harboring EGFR mutation was 12.3 months (95% CI: 10.8-13.9), and the mean PFS of EGFR wild type was 4.1 months (95% CI: 2.1-6.2). Conclusions:The results of NGS gene detection in liquid-based cytological specimens of lung adenocarcinoma patients with cavity effusion show that the PFS time is similar to that of histological specimens after clinical treatment with EGFR-TKI, which proves the reliability of NGS gene detection results in liquid cytological specimens. NGS gene testing appears higher sensitivity in cavity liquid-based samples than in metastatic lymph node samples.

Objective To observe the value of high-resolution direct MRI using hydrogen peroxide for diagnosing complex or recurrent anal fistulas.Methods Data of preoperative specialized physical examination,transperineal ultrasound(TPUS),pelvic cavity low-resolution plain MRI and fistula high-resolution direct MRI of 27 patients with complex or recurrent anal fistulas confirmed by surgery were retrospectively analyzed.The receiver operating characteristic(ROC)curves were constructed,and the area under the curves(AUC)were calculated to assess the diagnostic performance of the above 4 methods for identifying internal openings,tracts of fistulas and perianal abscesses.Results Among 27 cases,totally 51 internal openings,54 fistula tracts(including 30 intersphincteric,18 transsphincteric,3 extrasphincteric and 3 suprasphincteric fistulas)and 18 perianal abscesses were found.The efficacy of high-resolution direct MRI for diagnosing internal opening of complex or recurrent anal fistula(AUC=0.880)was higher than that of specialized physical examination,TPUS and low-resolution plain MRI(AUC=0.553,0.687,0.687,all P＜0.05),and the efficacy of high-resolution direct MRI for diagnosing tract of complex or recurrent anal fistula(AUC=0.889)was higher than that of specialized physical examination and TPUS(AUC=0.556,0.694,both P＜0.05),but not significantly different with low-resolution plain MRI(AUC=0.833,P＞0.05).The efficacy of high-resolution direct MRI for diagnosing perianal abscesses of complex or recurrent anal fistula(AUC=0.971)was higher than that of specialized physical examination(AUC=0.549,P＜0.05)and comparable to TPUS and low-resolution plain MRI(AUC=0.745,0.858,both P＞0.05).Conclusion High-resolution direct MRI using hydrogen peroxide was helpful for diagnosing complex or recurrent anal fistulas.

Objective:To analyze the influencing factors of severe dengue fever patients in the early stage, construct a early prediction model for severe dengue fever, and evaluate it.Methods:A retrospective analysis was conducted to collect early clinical data of dengue fever patients admitted to the People's Hospital of Mengla County and the Third People's Hospital of Kunming in Yunnan Province from July to December 2023. The multifactor logistic regression was used to analyze the factors affecting the severe dengue fever patients, and Nomogram prediction model was used for visualization. Receiver operating characteristic (ROC) curve and calibration curve analysis were used to evaluate the model.Results:A total of 534 dengue fever patients were included, including 291 males and 243 females, aged (39.95 ± 15.69) years. Among them, there were 59 cases (11.05%) of severe dengue fever. The results of multifactor logistic regression analysis showed that age ( OR = 1.05, 95% CI: 1.02 - 1.08, P < 0.001), cardiovascular disease ( OR = 5.28, 95% CI: 2.08 - 13.40, P < 0.001), serous effusion ( OR = 4.34, 95% CI: 1.63 - 11.57, P = 0.003), aspartate aminotransferase ( OR = 1.03, 95% CI: 1.02 - 1.04, P < 0.001), lactate dehydrogenase ( OR = 1.00, 95% CI: 1.00 - 1.01, P = 0.001), and fibrinogen ( OR = 0.46, 95% CI: 0.28 - 0.76, P = 0.003) were independent influencing factors in the early stage of severe dengue fever. The area under the ROC curve of the Nomogram prediction model constructed from the above six variables was 0.96 (0.93 - 0.98). The calibration curve analysis results showed that the mean absolute error between the predicted values of the Nomogram prediction model and the actual observed values was 0.014. Conclusions:Age, cardiovascular disease, serous effusion, aspartate aminotransferase, lactate dehydrogenase, and fibrinogen are independent influencing factors in the early stage of severe dengue fever. The Nomogram prediction model established based on these variables has good predictive ability for severe dengue fever.