Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To improve the classification accuracy of AMD subtypes, this study proposes a keypoint-based, attention-enhanced residual network (KPA-ResNet). The proposed architecture adopts a 50-layer residual network (ResNet-50) as the backbone, preceded by a keypoint localization module based on heatmap regression to outline critical lesion regions. A two-dimensional relative self-attention mechanism is incorporated into convolutional layers to enhance the representation of key lesion areas. Furthermore, the network depth is appropriately increased and an improved residual module, ConvNeXt, is introduced to enable comprehensive extraction of high-dimensional features and enrich the detail of lesion boundary contours, ultimately achieving higher classification accuracy of AMD subtypes. Experimental results demonstrate that KPA-ResNet achieves significant improvements in overall classification accuracy compared with conventional convolutional neural networks. Specifically, for the wet AMD subtypes, the classification accuracies for inactive choroidal neovascularization (CNV) and active CNV reach 92.8% and 95.2%, respectively, representing substantial improvement over ResNet-50. These findings validate the superior performance of KPA-ResNet in AMD subtype classification tasks. This work provides a high-accuracy, generalizable network architecture for OCT-based AMD subtype classification and offers new insights into integrating attention mechanisms with convolutional neural networks in ophthalmic image analysis.
Tomography, Optical Coherence/methods* ; Humans ; Macular Degeneration/diagnostic imaging* ; Neural Networks, Computer

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.

Background::Few evidence is available in the early prediction models of behavioral and psychological symptoms of dementia (BPSD) in Alzheimer’s disease (AD). This study aimed to develop and validate a novel genetic-clinical-radiological nomogram for evaluating BPSD in patients with AD and explore its underlying nutritional mechanism.Methods::This retrospective study included 165 patients with AD from the Chinese Imaging, Biomarkers, and Lifestyle (CIBL) cohort between June 1, 2021, and March 31, 2022. Data on demographics, neuropsychological assessments, single-nucleotide polymorphisms of AD risk genes, and regional brain volumes were collected. A multivariate logistic regression model identified BPSD-associated factors, for subsequently constructing a diagnostic nomogram. This nomogram was internally validated through 1000-bootstrap resampling and externally validated using a time-series split based on the CIBL cohort data between June 1, 2022, and February 1, 2023. Area under receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to assess the discrimination, calibration, and clinical applicability of the nomogram.Results::Factors independently associated with BPSD were: CETP rs1800775 (odds ratio [OR] = 4.137, 95% confidence interval [CI]: 1.276-13.415, P = 0.018), decreased Mini Nutritional Assessment score (OR = 0.187, 95% CI: 0.086-0.405, P <0.001), increased caregiver burden inventory score (OR = 8.993, 95% CI: 3.830-21.119, P <0.001), and decreased brain stem volume (OR = 0.006, 95% CI: 0.001-0.191, P = 0.004). These variables were incorporated into the nomogram. The area under the ROC curve was 0.925 (95% CI: 0.884-0.967, P <0.001) in the internal validation and 0.791 (95% CI: 0.686-0.895, P <0.001) in the external validation. The calibration plots showed favorable consistency between the prediction of nomogram and actual observations, and the DCA showed that the model was clinically useful in both validations. Conclusion::A novel nomogram was established and validated based on lipid metabolism-related genes, nutritional status, and brain stem volumes, which may allow patients with AD to benefit from early triage and more intensive monitoring of BPSD.Registration::Chictr.org.cn, ChiCTR2100049131.

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+

Objective:To construct a machine-learning model for predicting the progression of pancreatic cystic lesions (PCLs) based on clinical and CT features, and to evaluate its predictive performance in internal/external testing cohorts.Methods:Baseline clinical and radiological data of 200 PCLs in 177 patients undergoing abdominal thin slice enhanced CT examination at Peking Union Medical College Hospital from July 2014 to December 2022 were retrospectively collected. PCLs were divided into progressive and non-progressive groups according to whether the signs indicated for surgery by the guidelines of the European study group on PCLs were present during three-year follow-up. 200 PCLs were randomly divided into training (150 PCLs) and internal testing cohorts (50 PCLs) at the ratio of 1∶3. 15 PCLs in 14 patients at Jinling Affiliated Hospital of Medical School of Nanjing University from October 2011 to May 2020 were enrolled as external testing cohort. The clinical and CT radiological features were recorded. Multiple feature selection methods and machine-learning models were implemented and combined to identify the optimal machine-learning model based on the 10-fold cross-validation method. Receiver operating characteristics (ROC) curve was drawn and area under curve (AUC) was calculated. The model with the highest AUC was determined as the optimal model. The optimal model's predictive performance was evaluated on testing cohort by calculating AUC, sensitivity, specificity and accuracy. Permutation importance was used to assess the importance of optimal model features. Calibration curves of the optimal model were established to evaluate the model's clinical applicability by Hosmer-Lemeshow test.Results:In training and internal testing cohorts, the progressive and non-progressive groups were significantly different on history of pancreatitis, lesions size, main pancreatic duct diameter and dilation, thick cyst wall, presence of septation and thick septation (all P value <0.05) In internal testing cohort, the two groups were significantly different on gender, lesion calcification and pancreatic atrophy (all P value <0.05). In external testing cohort, the two groups were significantly different on lesions size and pancreatic duct dilation (both P<0.05). The support vector machine (SVM) model based on five features selected by F test (lesion size, thick cyst wall, history of pancreatitis, main pancreatic duct diameter and dilation) achieved the highest AUC of 0.899 during cross-validation. SVM model for predicting the progression of PCLs demonstrated an AUC of 0.909, sensitivity of 82.4%, specificity of 72.7%, and accuracy of 76.0% in the internal testing cohort, and 0.944, 100%, 77.8%, and 86.7% in the external testing cohort. Calibration curved showed that the predicted probability by the model was comparable to the real progression of PCLs. Hosmer-Lemeshow goodness-of-fit test affirmed the model's consistency with actual PCLs progression in testing cohorts. Conclusions:The SVM model based on clinical and CT features can help doctors predict the PCLs progression within three-year follow-up, thus achieving efficient patient management and rational allocation of medical resource.

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+