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 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 compare the effects of main artery clamping(MAC)and selective artery clamping(SAC)strategies on postoperative renal function in patients with chronic renal insufficiency undergoing robot-assisted partial nephrectomy.Methods A retrospective cohort study was conducted on 231 patients with preoperative chronic renal insufficiency[eGFR<90 mL/(min·1.73 m2)with renal injury markers or eGFR<60 mL/(min·1.73 m2)]who underwent robot-assisted partial nephrectomy in the Department of Urology of the First Affiliated Hospital of Army Medical University from February 2018 to February 2024.According to intraoperative renal artery clamping strategy,they were divided into a MAC group(n=129)and a SAC group(n=102).Preoperatively,individualized renal artery clamping strategies were developed using a machine learning-based multimodal holographic 3-D reconstruction technique.Serum creatinine(Scr)level was measured at 3 d and 3 months after surgery,and estimated glomerular filtration rate(eGFR)was calculated using the chronic kidney disease epidemiology collaboration equation(CKD-EPI)formula.Renal dynamic imaging with 99mTc-DTPA or 99mTc-MAG3 was used to assess the GFR of the affected kidney.Results At 3 d after surgery,the decrease in GFR of the affected kidney was significantly lower[(8.3±7.7)vs(16.0±10.2)mL/(min·1.73 m2),95%CI:-10.2～-5.2,P<0.001]in the SAC group than the MAC group.Scr increment analysis showed that the SAC group exhibited notably lower Scr increase[8.2(2.5,18.7)vs 15.5(5.8,28.3)μmol/L,95%CI:-12.3～-1.8,P=0.027],and milder eGFR decline[3.0(0.5,7.8)vs 7.5(2.0,14.3)mL/(min·1.73 m2),95%CI:-6.2～-0.8,P=0.015].And,in 3 months after surgery,the SAC group had lower Scr level[(89.2±23.1)vs(95.3±22.1)μmol/L,95%CI:-11.9～-0.3,P=0.042],and higher GFR of the affected kidney[(33.5±10.5)vs(26.1±10.9)mL/(min·1.73 m2),95%CI:4.6～10.2,P<0.001].Conclusion For patients with chronic renal insufficiency undergoing robot-assisted partial nephrectomy,SAC strategy is superior to MAC strategy in protecting postoperative renal function without increasing surgical risk.

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*

Influenza virus pneumonia （IVP） is an acute inflammatory disease of the lung with high incidence rate and infectivity caused by invading of the virus into the lower respiratory tract. At present, the treatment of IVP is mainly based on anti-influenza virus infection strategies, including the use of influenza vaccines and anti-influenza virus drugs. Due to the strong variability of viral antigens, it is difficult to obtain long-lasting immunity through vaccination. Commonly used chemical//biological antiviral drugs usually target a single specific viral protein. The mutation and evolution of the virus can reduce its efficacy or render it ineffective, which may lead to drug resistance, limiting the clinical application of these treatment options. Traditional Chinese Medicines （TCMs） have a long history in the prevention and treatment of IVP and are widely used in clinical practice due to their unique advantages and clear therapeutic effects. The research progress on the pathogenesis of IVP, effective prevention and treatment of TCMs for IVP, and the mechanism of action of its active ingredients were reviewed, which could provide new ideas for the treatment of IVP and reference for the development of new multi-target and low toxicity drugs.

Objective:To investigate the efficacy and safety of venetoclax and azacitidine combined with GHA (human granulocyte colony stimulating factor, homoharringtonine and low-dose cytarabine) priming regimen in treatment of patients with relapsed/refractory acute myeloid leukemia.Methods:A retrospective case series study was conducted. Twenty-three patients with relapsed/refractory acute myeloid leukemia (non-acute promyelocytic leukemia) who received treatment with the combination of venetoclax and azacitidine with GHA priming regimen at the Second Affiliated Hospital of Xi'an Jiaotong University from October 2020 to July 2024 were selected, and the treatment efficacy, minimal residual disease (MRD)-negative rate in patients with comprehensive complete remission (cCR) (including complete remission, complete remission with partial hematologic recovery and complete remission with incomplete hematologic recovery) and the adverse reactions were analyzed; patients were followed-up, and their overall survival (OS) was analyzed by using Kaplan-Meier method.Results:The median age of the 23 patients was 60 years (range: 21-79 years), including 10 males and 13 females. The cCR rate for 1 course of treatment was 52.2% (12/23), with 4 cases of MRD negative among cCR patients; 5 cases received 2 courses of treatment, with 3 cases achieving cCR, of which 2 cases were MRD negative; 2 cases received 3 courses of treatment, with 1 case achieving complete remission with incomplete hematologic recovery. Six patients underwent allogeneic hematopoietic stem cell transplantation. The patients were followed up until July 31, 2024, and the median follow-up period was 5.3 months (range: 1.1-41.7 months). Ten cases survived, 12 cases died, 1 case was lost to follow-up, and the median OS time of 23 patients was 7.9 months. The 6-month OS rate was 60.2% (95% CI: 42.7%-84.8%), and the 12-month OS rate was 44.6% (95% CI: 26.8%-74.3%). Common adverse reactions during treatment included infection [69.6% (16/23)], nausea [56.5% (13/23)], febrile neutropenia [52.2% (12/23)], bleeding [52.2% (12/23)], vomiting [34.8% (8/23)], and pneumonia [34.8% (8/23)]. Conclusions:The combination of vinaclotide and azacitidine with GHA priming regimen has certain efficacy and good safety in the treatment of relapsed/refractory acute myeloid leukemia.

Objective To investigate the application value of conventional MRI combined with diffusion tensor imaging(DTI)in evaluating the correlation between the texture composition of benign prostatic hyperplasia(BPH)and the International Prostate Symptom Score(IPSS).Methods Seventy patients with BPH confirmed by pathology were retrospectively analyzed and all patients underwent conventional MRI,DTI and IPSS before surgery.Evaluation metrics included:the mean signal intensity of T2WI(mean-SI-T2WI),apparent diffusion coefficient(ADC)and fractional anisotropy(FA)values.Independent samples t-test,partial correlation analysis,and receiver operating characteristic(ROC)curve were used to assess the correlation between the texture parameters of the prostate transition zone and IPSS.Results The mean-SI-T2WI was significantly negatively correlated with IPSS(r=-0.683,P<0.001);the average ADC value was slightly negatively correlated with IPSS(r=-0.467,P<0.001);and the average FA value was slightly positively correlated with IPSS(r=0.419,P<0.001).The predictive value of MRI texture parameters for IPSS in BPH patients,ranked from high to low,mean-SI-T2WI[area under the curve(AUC)=0.734],average ADC value(AUC=0.673),and average FA value(AUC=0.635);However,the combination of mean-SI-T2WI+ADC+FA(AUC=0.791)did not significantly improve the diagnostic efficacy by DeLong's test(P>0.05).Conclusion Mean-SI-T2WI,DWI and DTI can be used to evaluate the composition of the prostate,among which mean-SI-T2WI is the best,and the com-bination of them can not improve the diagnostic efficacy.