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.

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

Objective To summarize the characteristics and sources of infection risk of Bacillus cereus(B.cereus)septicemia in low birth weight(LBW)infants,and provide reference for infection prevention and control.Methods Characteristics of 3 LBW infants with B.cereus septicemia were reported and analyzed,relevant literatures were searched for systematically summarizing the characteristics and sources of infection risk of B.cereus septicemia in infants.Results Among 3 LBW infants reported in this paper,2 died and 1 was cured.No clear infection source was found in the environment through object surface sampling analysis.A total of 43 cases were reported in the pre-vious literatures,41 cases had reported on survival status,the mortality was 36.6％.The main risk factors for in-fection were auxiliary ventilation,umbilical vein catheterization or central vein catheterization and enteral feeding.In the reported 3 cases with clear sources of infection,the pathogens came from mother's milk,decoration area,sur-face of infant incubator and ultrasonic probe.Conclusion Premature LBW infants with B.cereus septicemia have high mortality and poor prognosis,which is a healthcare-associated infectious disease seriously threatening the life and health of LBW infants.Neonatal intensive care unit(NICU)and relevant departments of healthcare-associated infection(HAI)management need to pay attention to the prevention,monitoring,early detection,as well as active diagnosis and treatment of HAI caused by this bacteria.

Objective To investigate the clinical efficacy and safety of wentong guasha combined with herbal enema in the treatment of acute attack of chronic pelvic inflammatory disease.Methods From January 2023 to December 2024,patients with acute attack of chronic pelvic inflammatory disease diagnosed and treated at Foshan Women and Children Hospital Affiliated to Guangdong Medical University were selected and randomly divided into an experimental group and a control group.The control group received herbal enema therapy,while the experimental group received additional wentong guasha therapy on the basis of the control group's treatment.Both groups were treated for two weeks.The clinical efficacy,safety outcomes,as well as Visual Analog Scale(VAS)scores for pain and Pittsburgh Sleep Quality Index(PSQI)scores before treatment and after the 3rd and 7th days of treatment were compared between the two groups.Results A total of 120 patients were included,with 60 cases in each group.After treatment,the total effective rate was 90.00%in the experimental group and 76.67%in the control group,showing a statistically significant difference between the two groups(P<0.05).On the 3rd day of treatment,the VAS score of the experimental group was significantly lower than that of the control group(P<0.05).By the 7th day of treatment,both the VAS and PSQI scores of the experimental group were significantly lower than those of the control group(P<0.05).No adverse reactions were observed in either group.Conclusion Compared with herbal enema therapy,wentong guasha combined with herbal enema demonstrated more significant clinical efficacy in patients with acute attack of chronic pelvic inflammatory disease,markedly reduced pain scores,improved sleep quality,and showed good safety,indicating its potential value for clinical promotion and application.

Objective To summarize the characteristics and sources of infection risk of Bacillus cereus(B.cereus)septicemia in low birth weight(LBW)infants,and provide reference for infection prevention and control.Methods Characteristics of 3 LBW infants with B.cereus septicemia were reported and analyzed,relevant literatures were searched for systematically summarizing the characteristics and sources of infection risk of B.cereus septicemia in infants.Results Among 3 LBW infants reported in this paper,2 died and 1 was cured.No clear infection source was found in the environment through object surface sampling analysis.A total of 43 cases were reported in the pre-vious literatures,41 cases had reported on survival status,the mortality was 36.6％.The main risk factors for in-fection were auxiliary ventilation,umbilical vein catheterization or central vein catheterization and enteral feeding.In the reported 3 cases with clear sources of infection,the pathogens came from mother's milk,decoration area,sur-face of infant incubator and ultrasonic probe.Conclusion Premature LBW infants with B.cereus septicemia have high mortality and poor prognosis,which is a healthcare-associated infectious disease seriously threatening the life and health of LBW infants.Neonatal intensive care unit(NICU)and relevant departments of healthcare-associated infection(HAI)management need to pay attention to the prevention,monitoring,early detection,as well as active diagnosis and treatment of HAI caused by this bacteria.

Objective To investigate the clinical efficacy and safety of wentong guasha combined with herbal enema in the treatment of acute attack of chronic pelvic inflammatory disease.Methods From January 2023 to December 2024,patients with acute attack of chronic pelvic inflammatory disease diagnosed and treated at Foshan Women and Children Hospital Affiliated to Guangdong Medical University were selected and randomly divided into an experimental group and a control group.The control group received herbal enema therapy,while the experimental group received additional wentong guasha therapy on the basis of the control group's treatment.Both groups were treated for two weeks.The clinical efficacy,safety outcomes,as well as Visual Analog Scale(VAS)scores for pain and Pittsburgh Sleep Quality Index(PSQI)scores before treatment and after the 3rd and 7th days of treatment were compared between the two groups.Results A total of 120 patients were included,with 60 cases in each group.After treatment,the total effective rate was 90.00%in the experimental group and 76.67%in the control group,showing a statistically significant difference between the two groups(P<0.05).On the 3rd day of treatment,the VAS score of the experimental group was significantly lower than that of the control group(P<0.05).By the 7th day of treatment,both the VAS and PSQI scores of the experimental group were significantly lower than those of the control group(P<0.05).No adverse reactions were observed in either group.Conclusion Compared with herbal enema therapy,wentong guasha combined with herbal enema demonstrated more significant clinical efficacy in patients with acute attack of chronic pelvic inflammatory disease,markedly reduced pain scores,improved sleep quality,and showed good safety,indicating its potential value for clinical promotion and application.

In recent years， data mining algorithms have been widely employed in scientific research within the field of traditional Chinese medicine （TCM）. The data mining algorithms are used to effectively handle and analyze the complex data in TCM formulas， providing a rational explanation for the mechanism of action. This method has proven particularly useful in uncovering patterns of compatibility and frequent combinations of herbs in TCM， thereby enhancing the reliability and accuracy of clinical diagnosis， target screening， and the study of new drugs. This paper reviews and analyzes 147 papers on TCM formula research that utilize data mining algorithms. The results indicate that data mining algorithms play a unique advantage in six sub- areas， including the study on the mechanism of action in TCM formula， the dose-efficacy of TCM formulas， the identification of core drugs pairs/groups， mining the relationships among “formulas-drug-symptom”， the discovery of new formulas， and mining the compatibility law. Notably， association rules and clustering algorithms are the most representative.

OBJECTIVE To investigate the effect and mechanism of Panax notoginseng saponins （PNS） on wound healing after anal fistula surgery in rats by regulating the hypoxia-inducible factor-1α （HIF-1α）/vascular endothelial growth factor （VEGF）/ vascular endothelial growth factor receptor-2 （VEGFR2） signaling pathway. METHODS SD rats were selected to establish a postoperative rat model of anal fistula by infecting wound with Escherichia coli. The model rats were randomly grouped into model group， PNS low-dose and high-dose groups （15， 30 mg/cm2）， high-dose of PNS+2-methoxyestradiol （2ME2） group （PNS 30 mg/cm2+HIF-1α inhibitor 2ME2 4 mg/kg）， with 10 rats in each group. Another 10 normal rats were selected for back hair removal treatment as the control group. Each drug group was injected with the corresponding drug solution intramuscularly or （and） intraperitoneally， once a day， for 3 weeks. After the last administration， the wound healing rate （excluding the control group）， microvascular density （MVD）， the expression of collagen Ⅰ and fibronectin （FN） in the wound tissue were detected in each group； the levels of angiogenic factors [VEGF， E-mail：842710813@qq.com angiopoietin-Ⅰ （Ang-Ⅰ）， Ang-Ⅱ] in serum， the levels of inflammatory factors [interleukin-6 （IL-6） and IL-2] in serum binggui7183@163.com and wound tissue as well as the expressions of the related proteins of HIF-1α/VEGF/VEGFR2 signaling pathway in the wound tissue of rats were also detected in each group. RESULTS The MVD， the expression of collagen Ⅰ and FN in the wound tissue， and the levels of IL-6 and IL-2 in serum and wound tissue of rats increased significantly in the model group， compared to the control group （P＜0.05）， while the serum levels of VEGF， Ang- Ⅰ and Ang-Ⅱ decreased significantly （P＜0.05）. The wound healing rate， the MVD in wound tissue， the serum levels of VEGF， Ang-Ⅰ and Ang-Ⅱ， the expressions of collagen Ⅰ and FN in the wound tissue， and protein expressions of HIF-1α， VEGF and VEGFR2 in the PNS low-dose and high-dose groups increased significantly， compared to the model group （P＜0.05）， while the levels of IL-6 and IL-2 in serum and wound tissue decreased significantly （P＜0.05）； the high-dose PNS had a stronger effect （P＜ 0.05）. 2ME2 could weaken the effect of PNS on above indicators of rats after anal fistula surgery （P＜0.05）. CONCLUSIONS PNS can promote the production of angiogenic factors and inhibit the production of pro-inflammatory factors， thereby promoting wound healing in rats after anal fistula surgery. The above effects are related to the activation of HIF-1α/VEGF/VEGFR2 signaling pathway.