1.Research and application of a new deep learning based strategy for platelet histogram review
Enming ZHANG ; Chao YANG ; Xianchun CHEN ; Yan LIN ; Taixue AN ; Haixia LI ; Yongjian HE ; Zhiwei LIU ; Limei FENG ; Wanying LIN ; Tie XIONG ; Kai QIU ; Ya GAO ; Lizhu HUANG ; Jing HE ; Chunyan WANG ; Dehua SUN ; Bo SITU ; Lei ZHENG
Chinese Journal of Laboratory Medicine 2025;48(9):1201-1206
Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.
2.Msx2 regulates differentiation of outer enamel epithelial cells by modu-lating cytoskeleton and cell-cell interactions
Zhe YU ; Xiaohe JI ; Jingkun BAI ; Lihui ZHANG ; Juanjuan ZHANG ; Yan SUN ; Limei CHEN ; Xiaoying LIU
Chinese Journal of Pathophysiology 2025;41(3):555-561
AIM:To investigate the mechanism by which muscle segment homeobox 2(Msx2)regulates the differentiation of outer enamel epithelial cells in the enamel organ.METHODS:Tissue paraffin sections were prepared and subjected to hematoxylin-eosin(HE)staining to analyze the effect of Msx2 deficiency on the differentiation status of epithelial cells in the enamel organ at the morphological level.At the ultrastructural level,alterations in cell structure were analyzed.The intermediate steps mediating cell differentiation were identified.Transcriptome sequencing analysis was performed to validate the molecular mechanisms underlying the observed phenomena.RESULTS:Msx2 deficiency was innovatively found to induce severe squamous epithelial hyperplasia in outer enamel epithelial cells of enamel organ,accompanied by dynamic restructuring of the cell cytoskeleton and alterations in cell adhesion at the ultrastructure level.As a transcriptional repressor,the loss of Msx2 expression results in significant increases(P<0.05 or P<0.01)in the mRNA expression levels of integrin β2(Itgβ2),ItgαM,Itgα4,Rac family small GTPase 2(Rac2),Rac/Cdc42 guanine nucleo-tide exchange factor 6(Arhgef6)and protein tyrosine phosphatase receptor type C(Ptprc).CONCLUSION:Msx2 regu-lates cytoskeleton structure and cell-cell interaction through the Rho GTPases signaling pathway,thereby influencing the differentiation state of outer enamel epithelial cells.This study reveals the mechanism through which Msx2 regulates the differentiation of outer enamel epithelial cells,providing a theoretical foundation for the prevention and treatment of enam-el-related clinical dental diseases.
3.Rifampicin-resistant tuberculosis prevention and control in Jiangsu Province from 2013 to 2023
Hui DING ; Quanji YU ; Xiaoyan DING ; Yan SHAO ; Peng LU ; Zhongqi LI ; Limei ZHU ; Qiao LIU
Chinese Journal of Epidemiology 2025;46(4):655-661
Objective:To investigate the trends in detection, treatment, and outcomes of rifampicin-resistant tuberculosis (TB) in Jiangsu Province from 2013 to 2023, assess the effectiveness of control policies and measures for drug-resistant TB, and provide evidence for better control of drug-resistant TB.Methods:Data and indicators related to the screening, diagnosis, treatment, and outcomes of rifampicin-resistant TB in Jiangsu Province from 2013 to 2023 were obtained from the Tuberculosis Management Information System. The Joinpoint regression method was employed to analyze the trends over this period, and annual percent change (APC) and average annual percent change (AAPC) were calculated. A comparative analysis was also conducted to evaluate the changes before and after implementing relevant policies and measures.Results:From 2013 to 2023, the number of registered rifampicin-resistant TB patients in Jiangsu Province showed a consistent upward trend (APC=AAPC=1.45%, P=0.035). The screening rates for drug resistance among new TB patients in high-risk groups and the proportion of molecular biological testing for drug resistance all exhibited increasing trends, with a notable turning point occurring in 2018. The trend of the treatment enrollment rate for rifampicin-resistant TB patients experienced a significant shift in 2020, showing a marked increase from 2013 to 2020 (APC=12.91%, P=0.008). The treatment success rate of rifampicin-resistant TB patients also showed a significant upward trend after a turning point in 2020 (APC=9.94%, P=0.004). Conclusion:From 2013 to 2023, significant progress was seen in preventing and treating rifampicin-resistant TB in Jiangsu Province, with relevant policies and measures proving to be highly effective.
4.Application of a staged trauma integrated treatment model based on information network platforms in the emergency treatment of severe cranial injury patients
Xiangliang WU ; Zhilin CHEN ; Yan WANG ; Limei JIN ; Yamei CHEN
Chinese Journal of Modern Nursing 2025;31(28):3863-3868
Objective:To explore the impact of a staged trauma integrated treatment model based on information network platforms on the emergency treatment outcomes of patients with severe cranial injury.Methods:A convenience sampling method was used to select 80 patients with severe cranial injury treated at Yiwu Central Hospital from June 2023 to June 2024. Patients admitted from June to December 2023 were assigned to the control group ( n=37), while patients admitted from January to June 2024 were assigned to the intervention group ( n=43). The control group received conventional emergency treatment for cranial injury, while the intervention group received the staged trauma integrated treatment model based on an information network platform. The emergency response time (response time, triage time, emergency room treatment time, and handover time to the ward), National Institutes of Health Stroke Scale (NIHSS) score, Glasgow Coma Scale (GCS) score, incidence of complications, and family satisfaction were compared between the two groups. Results:After intervention, the intervention group had shorter emergency response time, triage time, emergency room treatment time, and handover time to the ward compared to the control group, with statistically significant differences ( P<0.01). The NIHSS score in the intervention group was lower, and the GCS score was higher, with statistically significant differences ( P<0.05). The incidence of complications in the intervention group was lower, and family satisfaction was higher compared to the control group, with statistically significant differences ( P<0.05) . Conclusions:The staged trauma integrated treatment model based on an information network platform can optimize the emergency treatment process for severe cranial injury, shorten treatment times, improve hospital-to-hospital and interdepartmental coordination, reduce neurological damage and complication rates, and increase family satisfaction. It is worth promoting for clinical use.
5.Rifampicin-resistant tuberculosis prevention and control in Jiangsu Province from 2013 to 2023
Hui DING ; Quanji YU ; Xiaoyan DING ; Yan SHAO ; Peng LU ; Zhongqi LI ; Limei ZHU ; Qiao LIU
Chinese Journal of Epidemiology 2025;46(4):655-661
Objective:To investigate the trends in detection, treatment, and outcomes of rifampicin-resistant tuberculosis (TB) in Jiangsu Province from 2013 to 2023, assess the effectiveness of control policies and measures for drug-resistant TB, and provide evidence for better control of drug-resistant TB.Methods:Data and indicators related to the screening, diagnosis, treatment, and outcomes of rifampicin-resistant TB in Jiangsu Province from 2013 to 2023 were obtained from the Tuberculosis Management Information System. The Joinpoint regression method was employed to analyze the trends over this period, and annual percent change (APC) and average annual percent change (AAPC) were calculated. A comparative analysis was also conducted to evaluate the changes before and after implementing relevant policies and measures.Results:From 2013 to 2023, the number of registered rifampicin-resistant TB patients in Jiangsu Province showed a consistent upward trend (APC=AAPC=1.45%, P=0.035). The screening rates for drug resistance among new TB patients in high-risk groups and the proportion of molecular biological testing for drug resistance all exhibited increasing trends, with a notable turning point occurring in 2018. The trend of the treatment enrollment rate for rifampicin-resistant TB patients experienced a significant shift in 2020, showing a marked increase from 2013 to 2020 (APC=12.91%, P=0.008). The treatment success rate of rifampicin-resistant TB patients also showed a significant upward trend after a turning point in 2020 (APC=9.94%, P=0.004). Conclusion:From 2013 to 2023, significant progress was seen in preventing and treating rifampicin-resistant TB in Jiangsu Province, with relevant policies and measures proving to be highly effective.
6.Application of a staged trauma integrated treatment model based on information network platforms in the emergency treatment of severe cranial injury patients
Xiangliang WU ; Zhilin CHEN ; Yan WANG ; Limei JIN ; Yamei CHEN
Chinese Journal of Modern Nursing 2025;31(28):3863-3868
Objective:To explore the impact of a staged trauma integrated treatment model based on information network platforms on the emergency treatment outcomes of patients with severe cranial injury.Methods:A convenience sampling method was used to select 80 patients with severe cranial injury treated at Yiwu Central Hospital from June 2023 to June 2024. Patients admitted from June to December 2023 were assigned to the control group ( n=37), while patients admitted from January to June 2024 were assigned to the intervention group ( n=43). The control group received conventional emergency treatment for cranial injury, while the intervention group received the staged trauma integrated treatment model based on an information network platform. The emergency response time (response time, triage time, emergency room treatment time, and handover time to the ward), National Institutes of Health Stroke Scale (NIHSS) score, Glasgow Coma Scale (GCS) score, incidence of complications, and family satisfaction were compared between the two groups. Results:After intervention, the intervention group had shorter emergency response time, triage time, emergency room treatment time, and handover time to the ward compared to the control group, with statistically significant differences ( P<0.01). The NIHSS score in the intervention group was lower, and the GCS score was higher, with statistically significant differences ( P<0.05). The incidence of complications in the intervention group was lower, and family satisfaction was higher compared to the control group, with statistically significant differences ( P<0.05) . Conclusions:The staged trauma integrated treatment model based on an information network platform can optimize the emergency treatment process for severe cranial injury, shorten treatment times, improve hospital-to-hospital and interdepartmental coordination, reduce neurological damage and complication rates, and increase family satisfaction. It is worth promoting for clinical use.
7.Msx2 regulates differentiation of outer enamel epithelial cells by modu-lating cytoskeleton and cell-cell interactions
Zhe YU ; Xiaohe JI ; Jingkun BAI ; Lihui ZHANG ; Juanjuan ZHANG ; Yan SUN ; Limei CHEN ; Xiaoying LIU
Chinese Journal of Pathophysiology 2025;41(3):555-561
AIM:To investigate the mechanism by which muscle segment homeobox 2(Msx2)regulates the differentiation of outer enamel epithelial cells in the enamel organ.METHODS:Tissue paraffin sections were prepared and subjected to hematoxylin-eosin(HE)staining to analyze the effect of Msx2 deficiency on the differentiation status of epithelial cells in the enamel organ at the morphological level.At the ultrastructural level,alterations in cell structure were analyzed.The intermediate steps mediating cell differentiation were identified.Transcriptome sequencing analysis was performed to validate the molecular mechanisms underlying the observed phenomena.RESULTS:Msx2 deficiency was innovatively found to induce severe squamous epithelial hyperplasia in outer enamel epithelial cells of enamel organ,accompanied by dynamic restructuring of the cell cytoskeleton and alterations in cell adhesion at the ultrastructure level.As a transcriptional repressor,the loss of Msx2 expression results in significant increases(P<0.05 or P<0.01)in the mRNA expression levels of integrin β2(Itgβ2),ItgαM,Itgα4,Rac family small GTPase 2(Rac2),Rac/Cdc42 guanine nucleo-tide exchange factor 6(Arhgef6)and protein tyrosine phosphatase receptor type C(Ptprc).CONCLUSION:Msx2 regu-lates cytoskeleton structure and cell-cell interaction through the Rho GTPases signaling pathway,thereby influencing the differentiation state of outer enamel epithelial cells.This study reveals the mechanism through which Msx2 regulates the differentiation of outer enamel epithelial cells,providing a theoretical foundation for the prevention and treatment of enam-el-related clinical dental diseases.
8.Research and application of a new deep learning based strategy for platelet histogram review
Enming ZHANG ; Chao YANG ; Xianchun CHEN ; Yan LIN ; Taixue AN ; Haixia LI ; Yongjian HE ; Zhiwei LIU ; Limei FENG ; Wanying LIN ; Tie XIONG ; Kai QIU ; Ya GAO ; Lizhu HUANG ; Jing HE ; Chunyan WANG ; Dehua SUN ; Bo SITU ; Lei ZHENG
Chinese Journal of Laboratory Medicine 2025;48(9):1201-1206
Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.
9.Preliminary study on the resection of parapharyngeal and lateral skull base tumors by using transoral endoscopy with 3D visualization and navigation technologies
Bing YAN ; Xianyang LUO ; Niting HU ; Zhicong HONG ; Limei GUAN ; Lili XUE
West China Journal of Stomatology 2024;42(1):104-110
Objective With the assistance of 3D visualization and real-time navigation technologies,the tumors in the parapharyngeal and lateral skull base should be removed through oral the approach with endoscopy.Methods The preoperative CT data of eight patients with parapharyngeal or lateral skull base soft tissue tumors were modeled,and the anatomical position relationship between the tumor and surrounding blood vessels and other important structures was re-constructed using 3D visualization technology,and preop-erative design was performed.The intraoperative oral ap-proach and real-time navigation guidance were adopted in the endoscopic resection of soft tissue tumors in the parapharyngeal and lateral skull base,and the clinical ap-plication value of this method was evaluated.Results The blood loss during the operation was controlled within 150 mL,and the average blood loss was approximately 125 mL.The incidence of postoperative complications was low,and patients could recover well through functional training.The oral approach did not leave any wounds nor scars on the patient's facial skin after the operation and had no effect on the patient's appearance.Conclusion The combination of 3D visualization technology,intraoperative real-time navigation,and endoscopy provides a beautiful,safe,and minimally invasive surgical method for patients with parapharyngeal or lateral skull base tumors.
10.Relation between dysfunctional attitude and depressive symptoms in adolescents: the acting path of negative automatic thoughts and positive coping style
Yating HOU ; Danfeng YAN ; Limei JIANG ; Zhenjie SUN ; Long NA
Sichuan Mental Health 2024;37(2):125-130
BackgroundThe prevalence of depressive disorder in adolescents is on the rise. There have been studies on the pairwise relations between dysfunctional attitude, negative automatic thoughts, positive coping style and depressive symptoms in the past. However, the impact of the intrinsic relations among dysfunctional attitude, negative automatic thoughts and positive coping style on depressive symptoms is still unclear. ObjectiveTo explore the influence of dysfunctional attitude on adolescent depressive symptoms and examine the action path of negative automatic thoughts and positive coping style on it, in order to provide references for intervention for adolescent patients with depressisve disorder. MethodsThis study involved 162 adolescent patients with depressive disorder, who met the diagnostic criteria for depressive episodes in the International Classification of Diseases, 10th edition (ICD-10) and received treatment in Taiyuan Psychiatric Hospital from October 1, 2022 to October 31, 2023. These patients were evaluated using Self-rating Depression Scale (SDS), Dysfunction Attitude Scale (DAS), Positive Coping Style Subscale in Simplified Coping Style Questionnaire(SCSQ) and Automatic Thoughts Questionnaire (ATQ). Pearson correlation analysis was adopted to examine the correlation among scores of scales above. Model 6 in Process 3.4.1 was adopted to test the acting path of negative automatic thoughts and positive coping style between dysfunctional attitude and adolescent depression symptoms. ResultsA total of 148 adolescent patients with depressive disorder completed an effective questionnaire survey, with a response rate of 91.36%. The direct effect value of dysfunctional attitude on depressive symptoms was 0.423 and the effect size was 63.32%. Negative automatic thoughts and positive coping style affected as acting path between dysfunctional attitude and depressive symptoms, with effect values of 0.156 (accounting for 23.35% of the total effect) and 0.045 (accounting for 6.74% of the total effect) respectively. Meanwhile, negative automatic thoughts and positive coping style affected as a chain reaction pathway between dysfunctional attitude and depressive symptoms, with an effect value of 0.044, accounting for 6.59% of the total effect. ConclusionDysfunctional attitude can not only directly affect the depressive symptoms of adolescent patients with depressive disorder, but also affect the depressive symptoms of adolescent patients with depressive disorder through the independent path or chain path of negative automatic thoughts and positive coping style.

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