Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective:To investigate the impact of olanzapine and risperidone on the cognitive function, sensory gating function and clinical symptoms of patients with first-episode schizophrenia(FES).Additionally, to analyze the correlation between sensory gating inhibitory deficits and cognitive impairment in FES patients.Methods:A total of 71 FES patients were selected in the Third People's Hospital of Zhongshan City from March 2023 to March 2024, and 60 healthy controls were recruited during the same period.The FES patients were divided into olanzapine group and risperidone group by random number table.Olanzapine group was treated with variable doses of olanzapine(10-20 mg/d), and risperidone group was treated with variable doses of risperidone(3-6 mg/d).The MATRICS consensus cognitive battery(MCCB) was used to evaluate the cognitive function of the patients, P50 index was measured by auditory paired condition-stimulus paradigm, and the efficacy was evaluated by positive and negative syndrome scale(PANSS) score reduction rate before and after 6 weeks of treatment.Healthy controls were assessed cognitive function only once with P50.SPSS 25.0 software was used for data processing. Perform statistical analysis using paired sample t-test, Wilcoxon signed rank test, independent sample t-test, Mann Whitney U test, χ2 test and generalized linear model. Results:Before treatment, the S2 amplitude of FES (1.74 (0.91, 2.79) μV) was higher than that of healthy controls (1.70 (1.04, 2.71) μV) (Wald χ2=4.483, P=0.034), the S2/S1 ratio of FES (0.58 (0.43, 0.78)) was higher than that of healthy controls (0.41 (0.31, 0.57)) (Wald χ2=10.909, P=0.001), and the difference of FES amplitude of S1-S2 was (1.22 (0.43, 1.92) μV) was lower than that of healthy controls (2.23 (1.54, 3.07) μV) (Wald χ2=17.679, P<0.001). There was no significant difference in PANSS, MCCB and P50 between olanzapine group and risperidone group before treatment (all P>0.05). After treatment, there was no significant difference in response rate between the two groups ( χ2=0.059, P=0.808), the PANSS scores were lower than those before treatment, the MCCB test results were higher than those before treatment (both P<0.05), and the P50 results were not statistically significant different compared with those before treatment (both P>0.05). The generalized linear model showed that the S1, S2 amplitude of the P50 had positive impact on the connection test score in the MCCB test ( β=0.466, P=0.020; β=0.879, P=0.009), other indicators were not found to have an impact on the test scores of the MCCB test (all P>0.05). Conclusion:Olanzapine and risperidone can significantly improve the cognitive function of FES, but the improvement of sensory gating deficits is limited. The pathogenic mechanism of sensory gating inhibitory deficits in FES may be different from that of cognitive dysfunction.

Within the prefrontal-cingulate cortex, abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions, contributing to the development of mental disorders such as depression. Despite this understanding, the neural circuit mechanisms underlying this phenomenon remain elusive. In this study, we present a biophysical computational model encompassing three crucial regions, including the dorsolateral prefrontal cortex, subgenual anterior cingulate cortex, and ventromedial prefrontal cortex. The objective is to investigate the role of coupling relationships within the prefrontal-cingulate cortex networks in balancing emotions and cognitive processes. The numerical results confirm that coupled weights play a crucial role in the balance of emotional cognitive networks. Furthermore, our model predicts the pathogenic mechanism of depression resulting from abnormalities in the subgenual cortex, and network functionality was restored through intervention in the dorsolateral prefrontal cortex. This study utilizes computational modeling techniques to provide an insight explanation for the diagnosis and treatment of depression.
Prefrontal Cortex/physiology* ; Humans ; Emotions/physiology* ; Cognition/physiology* ; Gyrus Cinguli/physiology* ; Computer Simulation ; Models, Neurological ; Neural Pathways/physiology* ; Nerve Net/physiology*

OBJECTIVES: This study aimed to analyze the influence of drug factors on the efficacy of bisphosphonate for chronic nonbacterial osteomyelitis to provide a reference for clinical treatment and promote clinical rational drug use by evaluation of effectiveness and safety of bisphosphonate treatment of chronic nonbacterial osteomyelitis. METHODS: Literature on the treatment of chronic nonbacterial osteomyelitis by using bisphosphonate was collected and analyzed from PubMed, Medline, Embase, Cochrane, ISI Web of Knowledge, CNKI, VIP, and Wanfang databases. RESULTS: A total of 489 cases were collected, with an average complete response rate of clinical presentation, laboratory tests and imaging findings of 80.37%, 80.56% and 79.22%, respectively. Except for opadronate, risedronate, ibandronate, pamidronate, alendronate, neidronate and zoledronate showed good efficacy, and the average complete response rates were 100%, 100%, 81.64%, 87.50%, 69.23% and 69.23%, respectively.The study found that in the pamidronate group, the average complete response rate of 0.5-1 mg/kg (maximum single dose≤60 mg) subgroup and the frequency of administration once every 3 months subgroup were better than other subgroups. CONCLUSIONS Bisphosphonate could be used to treat chronic nonbacterial osteomyelitis, which of efficacy were affected by different drug types, dose and frequency of administration. The optimal dose and frequency of administration of pamidronate were 0.5-1 mg/kg (maximum single dose≤60 mg) and once every 3 months, respectively.
Osteomyelitis/drug therapy* ; Humans ; Diphosphonates/administration & dosage* ; Chronic Disease ; Bone Density Conservation Agents/administration & dosage* ; Female ; Pamidronate ; Middle Aged ; Male

Severe allergic reactions to hydrogen peroxide solution and compound chlorhexidine gargle are rare, and most medical professionals have limited understanding of such cases. This article reports a case of anaphylactic shock in a patient with a periodontal abscess following oral flushing with hydrogen peroxide and compound chlorhexidine gargle. Drawing on domestic and international literature, it provides a reference for the emergency management of serious adverse reactions caused by these agents.
Humans ; Anaphylaxis/chemically induced* ; Anti-Infective Agents, Local/adverse effects* ; Chlorhexidine/adverse effects* ; Hydrogen Peroxide/adverse effects* ; Mouthwashes/adverse effects*

Objective:To evaluate the value of preoperative triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio in predicting postoperative delirium (POD) following internal fixation for lower limb fracture in geriatric patients.Methods:In this retrospective case-control study, the medical records of patients, aged ≥ 65 yr, with American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, who underwent internal fixation for lower limb fracture under general anesthesia or spinal-epidural anes-thesia at Hebei General Hospital from January 2023 to July 2024, with the postoperative length of hospital stay of at least 3 days, were collected. The baseline characteristics, preoperative length of hospital stay, parameters of the last preoperative laboratory tests, type of surgery, anesthesia method, duration of surgery and anesthesia, and intraoperative hypotension and fluid intake and output were collected, and the ratio of TG to HDL-C was calculated. Patients were stratified into POD group and non-POD group based on whether POD developed. The logistic regression was carried out to identify influencing factors for POD. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive accuracy of preoperative TG/HDL-C ratio in predicting POD.Results:A total of 234 patients were finally included, of whom 30 developed POD, with an incidence of 12.8%. The results of multivariate logistic regression indicated that the elevated preoperative TG/HDL-C ratio, increased WBC count and a history of cerebrovascular disease were independent risk factors for POD, and the increased albumin concentration was an independent protective factor for POD ( P<0.05). The area under the curve of preoperative TG/HDL-C ratio in predicting POD was 0.758, with a specificity of 0.809 and sensitivity of 0.633, and the optimal cut-off value was 3.285 ( P<0.001). Conclusions:Elevated preoperative TG/HDL-C ratio is an independent risk factor for POD and may have a certain predictive value for POD in geriatric patients undergoing internal fixation for lower limb fracture.

Objective:To evaluate the effectiveness of opioid-free anesthesia on postoperative outcomes in elderly patients following laparoscopic cholecystectomy.Methods:In this randomized controlled trial, 90 patients of either sex, aged 65-75 yr, with a body mass index of 18.5-23.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, scheduled for elective laparoscopic cholecystectomy, were divided into 2 groups ( n=45 each) using a table of random numbers: conventional general anesthesia group (GA group) and opioid-free anesthesia group (OFA group). Anesthesia was induced with intravenous etomidate, sufentanil and cisatracurium besylate and maintained with infusion of propofol and remifentanil combined with inhalation of sevoflurane in GA group. In OFA group, bilateral ultrasound-guided transversus abdominis plane block was performed via the posterior gluteal approach (injection of 0.25% ropivacaine 20 ml respectively) before anesthesia induction, anesthesia was induced with intravenous dexmedetomidine, esketamine, etomidate and cisatracurium besylate and maintained with infusion of dexmedetomidine, esketamine and propofol combined with inhalation of sevoflurane. In both groups, mechanical ventilation was performed with a laryngeal mask airway after anesthesia induction, and ketorolac tromethamine 30 mg (for postoperative analgesia) and metoclopramide 10 mg (to prevent postoperative nausea and vomiting) were intravenously injected at the end of surgery. The intraoperative adverse cardiovascular events, emergence time, laryngeal mask airway removal time, time of postanesthesia care unit stay, and postoperative rescue analgesia, nausea and vomiting and delirium were recorded. Results:No gallbladder cardiac reflex was found during operation in either group. Compared with GA group, the incidence of intraoperative bradycardia (11% versus 22%) was significantly increased ( P<0.05), the incidence of intraoperative hypotension and postoperative nausea, vomiting and delirium (17% versus 8%, 29% versus 16%, 16% versus 4% and 18% versus 4%), and requirements for rescue analgesia and antiemetics (31% versus 7% and 13% versus 4%) were decreased ( P<0.05), the postoperative emergence time, time of laryngeal mask airway removal and time of postanesthesia care unit stay were prolonged ( P<0.05), and no statistically significant difference was found in discharge time in OFA group ( P>0.05). Conclusions:The results of this study, as a single-center, small-sample randomized controlled trial, indicate that referenced to conventional general anesthesia, opioid-free anesthesia (esketamine-dexmedetomidine based anesthesia combined with bilateral transversus abdominis plan block) can improve the short-term postoperative outcomes to a certain extent in elderly patients following laparoscopic cholecystectomy.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.