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.

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 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.

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 explore the similarity between young fruits of Citrus aurantium'Changshan-huyou'and Pharmacopoeia origin Aurantii Fructus Immaturus.Methods The fingerprints of young fruits of Citrus aurantium'Changshan-huyou'and the Pharmacopoeia origin Aurantii Fructus Immaturus were established by high performance liquid chromatography(HPLC).The similarity analysis was carried out by using the software of Traditional Chinese medicine chromatographic fingerprint similarity evaluation system.The whole components of young fruit of Citrus aurantium'Changshan-huyou'and the Pharmacopoeia origin Aurantii Fructus Immaturus were compared by using chemometrics,and the 14 compounds were analyzed quantitatively.Results ①The results of similarity and cluster analysis were affected by the origin and producing area,for example,the similarity between citrus sinensis(L.)Osbeck and other origin was only 0.2,the similarity of citrus aurantium L.from different producing areas ranged from 0.802 to 0.986,with relative large dispersion;②young fruit of Citrus aurantium'Changshan-huyou',some citrus aurantium L.,citrus aurantium L.cv.Daidai,stink orange and citrus aurantium L.cv.Zhulan all belong to the same category,and the similarity was above 0.9;③VIP method screened out 21 common peaks that had important effects on quality,mainly including neohesperidin,naringin,umbellitin,tangeretin,hesperidin hydrate and hesperidin.The quantitative analysis results showed that Naringin and neohesperidin were abundant in young fruits of Citrus aurantium'Changshan-huyou'and Aurantii Fructus Immaturus,followed by hesperidin and naringin,there were significant differences in the content of principal components among Aurantii Fructus Immaturus from different origins,especially in citrus sinensis(L.)Osbeck,the young fruits of Citrus aurantium'Changshan-huyou'was relatively stable.Conclusion The young fruits of Citrus aurantium'Changshan-huyou'had good similarity with most origin of Aurantii Fructus Immaturus,so it is feasible to be used as Aurantii Fructus Immaturus.

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 construct an evaluation system for the risk factors of PICC catheter malposition in patients with hematological diseases, providing a reference for the prevention of central venous access malposition in these patients.Methods:From July 2022, a literature review was conducted to retrieve literature published in database and website such as PubMed, Web of Science domestically and internationally related to the risk assessment system of PICC catheter malposition in hematology patients. After full-text screening and extraction, the articles were included in the system′s item pool. Through further discussions among the research group′s experts, in conjunction with evidence-based findings, the system′s consultation items were formulated. Using the Delphi expert consultation method, a standard for PICC catheter malposition risk assessment system applicable to hematology patients was ultimately formulated.Results:In this study, 25 experts were invited for consultation: 24 females and 1 male, with an average age of (48.36 ± 6.82) years. After two rounds of expert consultations and revisions, the risk factors for PICC catheter malposition in hematology patients were identified to include 4 first-level indicators: patient factors, treatment factors, catheter-related factors, and operational factors, along with 11 second-level indicators and 25 third-level indicators. The positive coefficients of the experts in the two rounds of consultations were 84% and 100%, respectively; the Kendall coordination coefficients were 0.22 and 0.55 (both P<0.05); and the expert authority coefficient was 0.93. Conclusions:The risk assessment scale for PICC catheter malposition in patients with hematological diseases has high expert recognition and good consistency, and has clinical practice and guiding value.