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 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 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: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.

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: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.