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 observe the clinical effect of Shenfu injection in preventing septic cardiomyopathy (SIC) in septic patients.Methods:From June 2022 to January 2023, patients with sepsis or septic shock who did not develop SIC were randomly divided into treatment group and control group according to the ratio of 1:1. In the treatment group, Shenfu injection (50 mL) was pumped intravenously once every 12 hours for 5 days. In the control group, 50 mL of normal saline was pumped intravenously once every 12 hours, and the course of treatment was 5 days. The primary end point was the incidence of SIC in the first 5 days. The secondary end points were the application time of vasoactive drugs, fluid balance in the previous week, hospitalization time in ICU, total ventilation time and 28-day mortality.Results:112 patients were randomly divided into two groups. Seven patients in the treatment group were excluded twice, and finally 49 patients were included in the analysis, while six patients in the control group were excluded twice and 50 patients included in the analysis. The total incidence of SIC in the treatment group within 5 days was significantly lower than that in the control group (42.9% vs. 64.0%, P = 0.035). Among them, the left ventricular systolic dysfunction in the treatment group was significantly lower than that in the control group (24.5% vs 52.0%, P=0.005), and there was no significant difference in the incidence of left ventricular diastolic dysfunction between the two groups. The incidence of right ventricular dysfunction in the control group was 28.0%, which was significantly higher than 10.2% in the treatment group ( P = 0.025). The duration of using vasoconstrictors in the treatment group was 75(48, 97) hours, which was significantly lower than 97(66, 28) hours in the control group ( P = 0.039). The duration of inotropic drugs use in the treatment group was 32(18, 49) h, which was also significantly shorter than 44(25, 61) h in the control group ( P=0.046). The fluid balance of the control group in the first week was (1 260±850) mL, which was significantly higher than (450±520) mL in the treatment group ( P=0.008). There was no statistical difference in ICU stay, total ventilation time and 28-day mortality between the two groups (all P > 0.05). Conclusion:Early application of Shenfu injection can significantly reduce the incidence of SIC, accompanied by less use of vasoactive drugs and positive fluid balance, which has a good clinical application prospect.

Objective To evaluate the efficacy of different interventions to the extra cranial lesions in acute ischemic stroke(AIS)due to anterior tandem lesions(TL)on reperfusion.Methods As a multi-center,cross-sectional study,AIS due to anterior TL receiving mechanical thrombectomy(MT)were retrospectively collected.Interventions to the extra-cranial stenosis were recorded.Post-procedural reperfusion was assessed using the modified thrombolysis in cerebral infarction(mTICI)score.Complete revascularization was defined as mTICI 3 and good revascularization was defined as mTICI 2b/3.The relationship between different extra-cranial intervention regi-mens and rate of re-vascularization was compared.Results Totally 117 patients were included with 92.3% reaching good recanalization and 63.2% reaching complete re-canalization.There was no significant difference in good re-canalization rates among various extra-cranial intervention regimens.The rate of complete re-canalization was significantly higher in patients receiving endovascular therapy(P＜0.05)and there was significant difference among various endovascular treatment regimens(P＜0.01):acute balloon angioplasty only group presented the highest rate of complete re-canalization(100.0% ),followed by acute stenting only group(80% ),acute stenting+balloon angioplasty group(73.7% )and conservative treatment group(54.3% ).Conclusions Endovascular inter-vention to extra-cranial stenosis contributes to complete re-canalization in AIS due to anterior TL receiving MT,and acute balloon angioplasty seems to be quite effective than acute stenting.

OBJECTIVE To explore the clinical efficacy and safety of Ruyi jinhuang powder for external application combined with immune checkpoint inhibitors （ICIs） in the treatment of patients with advanced liver cancer complicated with dampness and heat syndrome of liver and gallbladder. METHODS All patients with advanced liver cancer complicated with dampness and heat syndrome of liver and gallbladder were admitted to our hospital from January 2018 to June 2022 and assigned into observation group and control group according to random number table method. Patients in the control group （n＝56） were treated with ICIs （Navulizumab injection/Sintilimab injection/Camrelizumab for injection） 200 mg， ivgtt， 21 days as a treatment cycle. Patients in the observation group （n＝56） were additionally treated with Ruyi jinhuang powder for external application， once a day， on the basis of control group. The therapeutic effects of 2 groups were compared after a treatment cycle. The levels of interleukin-6 （IL- 6）， matrix metalloproteinase-9 （MMP-9）， cyclooxygenase-2 （COX-2）， prostaglandin E2 （PGE2）， carbohydrate antigen 199 （CA199）， alpha-fetoprotein （AFP） and vascular endothelial growth factor （VEGF） in serum were compared between 2 groups before and after treatment. Karnofsky functional status （KPS） score， digital rating scale （NRS） score， total symptom score of traditional Chinese medicine， and the occurrence of adverse reactions were recorded for both groups of patients. RESULTS After treatment， the levels of IL-6， MMP-9， COX-2， PGE2， CA199， AFP， VEGF， NRS score and total symptom score of traditional Chinese medicine in observation group were significantly lower than control group （P＜0.05）， KPS score was significantly higher than the control group （P＜0.05）. The zypp-04） total effective rate and remission rate of the observation group were 64.29% and 80.36%， those of control group were 60.71% and 73.21%. There was no statistical significance between two groups （P＞0.05）. The adverse drug reactions of both groups were mainly nausea and vomiting， liver function injury， fever hlshli@yeah.net and so on； the incidence of adverse reaction in observation group was significantly lower than that of control group （P＜0.05）. CONCLUSIONS In patients with advanced liver cancer complicated with dampness and heat syndrome of liver and gallbladder， the combination of Ruyi jinhuang powder for external application and ICIs can help inhibit the secretion of pain mediators， regulate vascular endothelial function， reduce the inflammatory response， promote the recovery of cardiopulmonary function， improve clinical efficacy and has good safety.

Objective To study the ambient radiation of patients undergoing ¹⁸F-FDG PET/CT myocardial metabolism imaging, and to provide data for protection of surrounding people against radiation. Methods A total of 33 patients were selected for ¹⁸F-FDG PET/CT myocardial metabolism imaging. Dose equivalent rate was measured at the height of patient chest, in different directions, at different time points and at different distances, to investigate the distribution of ambient radiation of the patient. Results At the same time point and distance, the dose equivalent rates at the left and right sides of the patient were lower than the front and back sides. The dose equivalent rate at 1 m in front of the patient was 13-21 μSv/h after ¹⁸F-FDG injection, and decreased to 5-14 μSv/h after PET/CT imaging, with a mean decrease of 46%. The ambient dose equivalent rate decreased exponentially with distance (10~300 cm), and the mean power was −1.2. Conclusion The ambient radiation of patients undergoing ¹⁸F-FDG PET/CT myocardial metabolism imaging was high after ¹⁸F-FDG injection, and the ambient dose equivalent rate decreased rapidly with time and distance. Our results suggest that patients undergoing myocardial metabolism imaging should avoid prolonged and close contact with other people on the day of examination.

Dermatomyositis is an autoimmune disease involving the skin and muscles. At the onset of dermatomyositis, it is difficult to make an early diagnosis due to atypical clinical manifestations and lack of serological markers. Skin and muscle lesions are associated with disease activity and prognosis in patients with dermatomyositis or clinical amyopathic dermatomyositis. Computed tomography, magnetic resonance imaging, ultrasonography, dermoscopy and other imaging techniques may be used to assess skin and muscle involvements, which can not only improve the accuracy of early diagnosis of dermatomyositis, but also provide important reference for the assessment of disease activity and prognosis.

Inflammatory immune response runs through the course of ischemic stroke. Different subgroups of CD4 + T cells play a complex and important role in the course of ischemic stroke. Among them, the balance of pro-inflammatory effect of T helper cell 17 (Th17) and anti-inflammatory effect of regulatory T cells (Treg) is closely associated with the outcome of stroke. This article reviews the role of Th17/Treg balance in ischemic stroke, in order to deepen the understanding of the mechanism of immune inflammation after ischemic stroke and explore possible therapeutic targets in the course of ischemic stroke.

Objective:To compare the therapeutic effects of nasal high-flow oxygen therapy (HFNC) and nasal canal oxygenation (NCO) during breaks off non-invasive ventilation (NIV) for acute exacerbation of chronic obstructive pulmonary disease (AECOPD), and to explore the feasibility of NIV combined with HFNC in the treatment of AECOPD.Methods:From August 2017 to July 2019, AECOPD patients with type Ⅱrespiratory failure (arterial blood gas pH <7.35, PaCO 2 > 50 mmHg) who were treated with NIV were randomly (random number) assigned to the HFNC group and NCO group at 1:1. The HFNC group received HFNC treatment during breaks from NIV and the NCO group received low-flow NCO during the NIV interval. The primary endpoint was the total respiratory support time. The secondary endpoints were endotracheal intubation, duration of NIV treatment and breaks from NIV, length of ICU stay, total length of hospital stay and so on. Results:Eighty-two patients were randomly assigned to the HFNC group and the NCO group. After secondary exclusion, 36 patients in the HFNC group and 37 patients in the NCO group were included in the analysis. The total respiratory support time in the HFNC group was significantly shorter than that in the NCO group [(74 ± 18) h vs. (93 ± 20) h, P = 0.042]. The total duration of NIV treatment in the HFNC group was significantly shorter than that in the NCO group [(36 ± 11) h vs. (51 ± 13) h, P=0.014]. There was no significant difference of the mean duration of single break from NIV between the two groups, but durations of break from NIV in the HFNC group were significantly longer than those in the NCO group since the third break from NIV ( P < 0.05). The intubation rates of the HFNC and NCO groups were 13.9% and 18.9%, respectively, with no significant difference ( P=0.562). The length of ICU stay in the HFNC group was (4.3 ± 1.7) days, which was shorter than that in the NCO group [(5.8 ± 2.1) days, P=0.045], but there was no significant difference in the total length of hospital stay between the two groups. Heart rate, respiratory rate, percutaneous carbon dioxide partial pressure and dyspnea score during the breaks from NIV in the NCO group were significantly higher than those in the HFNC group, and the comfort score was lower than that in the HFNC group ( P<0.05). Conclusion:For AECOPD patients receiving NIV, compared with NCO, HFNC during breaks from NIV can shorten respiratory support time and length of ICU stay, and improve carbon dioxide retention and dyspnea. HFNC is an ideal complement to NIV therapy in AECOPD patients.