Early caries confined to the enamel layer represent a critical window for achieving noninvasive intervention in caries management. Caries management has shifted from the traditional “drill-and-fill” model toward a modern paradigm centered on caries risk and lesion management. Based on contemporary concepts, this review systematically summarizes recent advances in early caries management, including caries risk assessment, early diagnosis, treatment strategy selection, and follow-up monitoring, while highlighting the major challenges currently being faced, and further reviewing and discussing the application of artificial intelligence (AI) in early caries management. In terms of risk management, conventional systems including the American Dental Association, Caries Management by Risk Assessment, Cariogram, and the Caries-Risk Assessment Tool remain mainstays in clinical practice. However, AI offers predictive capability through higher-dimensional data processing and the integration of numerous influencing factors, with the potential to improve the accuracy of risk stratification. For diagnosis, visual inspection, tactile examination, and bitewing radiography remain fundamental methods, yet their sensitivity for early caries—particularly proximal lesions—is limited. The application of optical technologies, including quantitative light-induced fluorescence, optical coherence tomography, near-infrared light transillumination, fiber-optic transillumination, and laser-induced fluorescence, enables digital characterization of caries lesions, providing a data foundation for demineralization assessment, lesion activity evaluation, and AI model development. The management of early caries primarily relies on noninvasive and minimally invasive approaches. Remineralization therapy is suitable for superficial lesions, resin infiltration offers the dual advantages of inhibiting lesion progression and improving aesthetics, and microabrasion and bleaching may serve as adjunctive aesthetic treatments. Emerging modalities such as laser, ozone, and photodynamic therapy have also demonstrated potential. Treatment decision-making should comprehensively consider lesion activity, patient caries risk status, demineralization depth, patient compliance, and treatment preferences. However, precise quantification of demineralization depth remains challenging, and standardized decision-making criteria are still lacking. Follow-up management should be individualized based on risk stratification, with attention to lesion changes, patient compliance, and the risk of recurrence. In summary, intelligent and precision-based approaches are expected to define the future of early caries management, and the application of AI in risk prediction, image analysis, and clinical decision support is anticipated to further enhance the efficiency and effectiveness of early caries diagnosis and treatment.

Acute kidney injury (AKI) is a critical clinical condition characterized by rapid renal function decline, with high morbidity, mortality, and healthcare costs. Traditional Chinese medicine (TCM) has shown potential effects on mitigating oxidative stress and programmed cell death in AKI models. Scutellaria barbata D. Don (SB) and Scleromitrion diffusum (Willd.) R. J. Wang (SD), a classic TCM herbal pair exhibited anti-inflammatory and antioxidant activities. Using advanced chromatographic separation technology, we enriched the effective fractions of water extracts from SB-SD, obtaining self-assembled herbal nanoparticles (SB and SD nanoparticles, SSNPs) rich in flavonoids and terpenoids. These SSNPs demonstrated robust antioxidant properties in vitro and mitigated AKI progression in vivo by activating the nuclear factor erythroid 2-related factor 2 (Nrf2) signaling pathway. Oral administration of SSNPs in mice resulted in absorption into the bloodstream, formation of a protein corona, reduced macrophage phagocytosis, and enhanced bioavailability and renal targeting. Furthermore, we investigated the self-assembly principle of SSNPs using representative flavonoids and terpenoids. Kinetic studies and in situ transmission electron microscopy (in situ TEM) revealed that these compounds self-assemble via supramolecular forces like hydrogen bonding and π-π interactions, forming stable nanostructures. This study elucidates the renoprotective effects and mechanisms of SB and SD, and provides a novel approach for the development of TCM-based nanomedicines, highlighting the potential of nano-TCM in AKI treatment.

OBJECTIVE To investigate the impact of Netupitant and palonosetron hydrochloride capsules （NEPA） on the pharmacokinetics of Paclitaxel for injection （albumin bound） （i. e. albumin-bound paclitaxel） under different intestinal microenvironment conditions. METHODS Male SD rats were divided into a normal group and a model group （n＝16）. Rats in the model group were intragastrically administered vancomycin solution to establish an intestinal disorder model. The next day after modeling， intestinal microbiota diversity was analyzed， and the mRNA expressions of cytochrome P450 3A1 （CYP3A1） and CYP2C11 in small intestine and liver tissues as well as those protein expressions in liver tissue were measured. Male SD rats were grouped as described above （n＝16）. The normal group was subdivided into the TP chemotherapy group （TP-1 group） and the TP chemotherapy+NEPA group （TP+NEPA-1 group）； the model group was subdivided into the TP chemotherapy group （TP-2 group） and the TP chemotherapy+NEPA group （TP+NEPA-2 group） （n＝8）. Rats in the TP+NEPA-1 and TP+NEPA-2 groups received a single intragastric dose of NEPA suspension （25.8 mg/kg， calculated by netupitant）. One hour later， all four groups received a single tail vein injection of albumin-bound paclitaxel and cisplatin. Blood samples were collected at different time points after the last administration. Using azithromycin as the internal standard， plasma paclitaxel concentrations were determined by liquid chromatography-tandem mass spectrometry. The main pharmacokinetic parameters were calculated using DAS 2.0 software and compared between groups. RESULTS Compared with the normal group， the model group showed significantly decreased Chao1 and Shannon indexes （P＜0.05）， significant alterations in microbiota composition and relative abundance， and significantly downregulated expressions of CYP3A1 mRNA in liver tissue and CYP2C11 mRNA in both small intestine and liver tissues （P＜0.05）. Compared with the TP-1 group， the AUC0－t， AUC0－∞， MRT0－t of paclitaxel in the TP-2 group， the cmax， AUC0－t， AUC0－∞ of paclitaxel in the TP+NEPA-1 group and TP+NEPA-2 group were significantly increased or prolonged； CL of paclitaxel in the TP-2 group， Vd and CL of paclitaxel in the TP+NEPA-1 group and the TP+NEPA-2 group were significantly decreased or shortened （P＜0.05）. Compared with the TP-2 group， cmax of paclitaxel in the TP+NEPA-2 group was significantly increased， and Vd and MRT0－t were significantly decreased or shortened （P＜0.05）. CONCLUSIONS Intestinal microbiota disorder affects the mRNA expressions of CYP3A1 and CYP2C11， leading to decreased clearance and increased systemic exposure of paclitaxel. Concomitant administration of NEPA under normal intestinal microbiota condition increases paclitaxel exposure. However， under conditions of intestinal microbiota disorder， concomitant administration of NEPA has a limited impact on paclitaxel systemic exposure.

Objective To investigate the differences in radiation dose during chest CT examinations among children of different age groups and establish dose estimation regression models. Methods Chest CT data from 135 children aged 4 to 15 years were retrospectively collected from the First Affiliated Hospital of Soochow University between January 2022 and December 2023. The children were divided into three age groups: 4-5 years, 6-10 years and 11-15 years. CT scanning parameters (tube voltage, tube current, scan range) and dosimetry parameters including volume CT dose index (CTDI_vol) dose length product (DLP), and size-specific dose estimate (SSDE) were recorded. The Kruskal-Wallis test was used to compare intergroup differences. A Pearson correlation analysis was performed to assess the relationship between age and dose indicators. Both linear and nonlinear regression models were constructed. Results Age showed a weak positive correlation with CTDI_vol (r = 0.27), a moderate positive correlation with DLP (r = 0.60), and a moderate negative correlation with SSDE (r = −0.55). Linear regression analysis revealed that DLP increased with age (y = 117.85 + 9.81x, R² = 0.36), while SSDE decreased with age (y = 12.4 − 0.18x, R² = 0.32). Using orthogonal distance regression, the goodness-of-fit of the nonlinear models for DLP and SSDE significantly improved (R² = 0.99 and 0.94, respectively). Conclusion In pediatric chest CT dose assessment, CTDI_vol underestimates radiation dose compared to SSDE and fails to account for patient body size. The dose estimation models constructed with orthogonal distance regression outperform those established using the least squares method, demonstrating higher fitting accuracy, and can serve as a reference for personalized dose management in pediatric CT examinations.

Rare events are widely prevalent in various disciplines,including rare adverse reactions to vaccines and drugs,clinical rare diseases,and low-probability clinical outcomes.The reason for research interest on such events is that their occurrence often brings incalculable and serious consequences.In the context of big data,numerous methods have emerged for rare event data analysis,including sampling based,category weighting,ensemble learning,and deep learning.This article systematically summarizes the research progress of current rare event data analysis methods,and introduces their basic principles and applicable scenarios.By analyzing the advantages and disadvantages of existing methods,the challenges of rare event research are sorted out and summarized,and potential research directions in related fields are explored to provide references for researchers.

Objective To investigate the governance requirements for real world data(RWD)in China's medical standards and specifications,summarize key technical aspects of data governance,and provide refer-ences for RWD governance-related research.Methods Computerized searches were conducted in CNKI,Wan-fang Data,VIP,and SinoMed,as well as the official websites of 29 national medical societies and the National Standard Information Public Service Platform,covering all records from inception to December 12,2023.A data extraction form was developed,and the included standards and specifications were categorized according to the first six RWD governance processes outlined in the Guidelines for Real World Data Used to Generate Real-World Evidence(Trial)issued by the National Medical Products Administration:data security,data extraction,data cleaning,data transformation,data transmission and storage,and quality control.Relevant content on data governance was systematically summarized and comparatively analyzed.Results A total of 32 standards and specifications were included,comprising 15 foundational medical data standards and 17 data gov-ernance technical specifications.Among these,6 addressed data security,6 covered data extraction,5 focused on data cleaning,5 involved data transformation,6 pertained to data transmission and storage,and 4 discussed quality control.Foundational medical data standards included data description elements,terminology,and format standards,broadly covering essential data elements and meeting basic standardization needs.Data gov-ernance technical specifications primarily provided general guidelines for medical data governance,emphasizing requirements and recommendations.While requirements for data security and extraction were relatively well-de-fined,technical guidance on data transformation and quality control remained limited,and implementation pathways for data cleaning,transmission,and storage were insufficiently detailed.Conclusions As real-world evidence plays an increasingly critical role in healthcare decision-making,China's medical standards and speci-fications have established a preliminary governance framework for RWD.However,technical details and practi-cal implementation of RWD governance still require further refinement.

Objective:To understand the burden of cancer disease in Hebei Province in recent years and to analyze the change trend of cancer in Hebei Province from 2011 to 2020.Methods:The incidence and death data of cancer were collected from 38 cancer registries in Hebei Province during 2011-2020. The incidence (mortality) rate, standardized incidence (mortality) rate and composition ratio of each region, sex, and age were calculated respectively, and the incidence and death of major cancers in our province were summarized. The age-standardized morbidity (mortality) rates of China and the world population were calculated using the 2000 China standard population composition and Segi's world population composition respectively. Trend analysis of morbidity and mortality was performed and average annual percentage change (AAPC) was calculated.Results:In 2020, the crude cancer incidence rate and the age-standardized morbidity rate of China was 229.36/100 000 and 147.06/100 000, respectively. An estimated 171 600 new cases were reported in the province. The crude cancer mortality rate and the age-standardized mortality rates of China was 146.38/100 000 and 85.33/100 000. The estimated number of deaths in the province is 108 900. In the cancer registration areas of Hebei Province, 84% of all cancer patients occurred in people 50 years of age and older. From 2011 to 2020, the incidence and mortality of cancer in Hebei Province showed a decreasing trend. The AAPC was -4.2% ( P＜0.001), which decreased from 206.61/100 000 in 2011 to 143.74/100 000 in 2020. The world standard mortality rate of cancer was 147.69/100 000 in 2011, and decreased to 84.79/100 000 in 2020. The AAPC was -5.7% ( P＜0.001). The world-standard incidence and mortality of lung cancer, esophageal cancer, gastric cancer, liver cancer and colorectal cancer decreased from 2011 to 2020. The AAPCs of the world-standard incidence were -4.0%, -12.3%, -9.4%, -6.0% and -1.6%, respectively. The AAPCs of the world-standard mortality were -4.9%, -11.3%, -8.5%, -5.7% and -3.3%, which were statistically significant. The incidence of thyroid cancer increased rapidly, the AAPC of which was 9.7% ( P＜0.001). The rates of female breast cancer and male prostate cancer in Hebei Province were stable. Conclusions:The world-standard incidence and mortality of cancer in Hebei Provincial cancer registries areas show a downward trend from 2011 to 2020. However, the cancer incidence and mortality in Hebei Province are still at high levels. It's necessary to strengthen cancer prevention and control in Hebei Province, improve the awareness of cancer prevention and control in the whole society, and promote the concept of tertiary cancer prevention to reduce the cancer burden in Hebei Province.

Objective:To study the correlation between osteoporosis and the joint of small articular process of lumbar vertebra,and the correlation between bone mineral density(BMD)and various parameters of small joint based on quantitative computed tomography(QCT),so as to provide scientific basis for formulating clinically treatment strategies.Methods:This study included 63 patients who admitted to orthopedics of The Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from December 2023 to March 2024 due to waist discomfort and lower limb pain.According to BMD standard of CT examination for lumbar vertebra,these patients were divided into normal BMD group(31 cases),osteopenia group(21 cases)and osteoporosis group(11 cases).All patients underwent CT scan on lumbar vertebra.The mode with body membrane were adopted to measure BMD,the area of left and right articular process,CT value,height after the scan was completed.Whether existed osteophytes,endplate inflammation and intervertebral disc herniation in each group were checked.Univariate Analysis of Variance(ANOVA)was employed to assess the differences among different BMD groups in age,gender,area of articular process,CT value and height.The Pathria grading system was adopted to assess the degeneration degree of intervertebral joint,and the Fisher's exact test was used to analyze the differences in degeneration scores of articular process among three groups.At the same time,the pairwise comparison between groups also was conducted.Spearman's rank correlation analysis was conducted to explore the correlation between BMD and the degeneration degree of intervertebral joint.Results:The BMD value of normal BMD group was(165.14±30.11)mg/cm3,and that of osteopenia group was(98.98±10.14)mg/cm3,and that of osteoporosis group was(58.62±18.73)mg/cm3.There was a statistically significant difference in BMD value among three groups(F=103.121,P＜0.001),and there was a statistically significant difference in BMD value between normal BMD group and osteopenia group as the result of pairwise comparison between groups(t=10.018,P＜0.001).There was statistically significant difference in BMD value between normal BMD group and osteoporosis group(t=12.989,P＜0.001),and there was statistically significant difference in BMD value between osteopenia group and osteoporosis group(t=4.641,P＜0.001).The areas of left and right upper articular process of normal BMD group were less than that of other two groups,and the differences of CT value and height of left and right upper articular process among three groups were significant(F=27.350,24.458,P＜0.05),respectively.The CT value of normal BMD group was higher than that of other two groups,and CT values of right upper articular process of osteopenia group was significantly lower than that of osteoporosis group,and the difference was statistical significance(t=2.191,P＜0.05).The heights of left and right upper articular processes of normal BMD group were lower than those of osteoporosis group,and the height of right upper articular process was lower than that of osteopenia group(t=2.331,-2.798,-2.618,P＜0.05).There was a negative correlation between osteoporosis degree and the degeneration of articular process joints(r=-0.745,P＜0.001).With the decreasing of BMD value,the degeneration of articular process joint gradually aggravated,and the ratios of osteophytes,endplate inflammation and intervertebral discs increased.Conclusion:There is a certain correlation between the osteoporosis and the degeneration of articular process joints of lumbar intervertebral disc.The ratios of osteophytes,endplate inflammation and intervertebral disc herniation increase,and both the area and height of the left and right articular process increase when the reduction of bone mass reaches to a serious degree.

Objective To investigate the governance requirements for real world data(RWD)in China's medical standards and specifications,summarize key technical aspects of data governance,and provide refer-ences for RWD governance-related research.Methods Computerized searches were conducted in CNKI,Wan-fang Data,VIP,and SinoMed,as well as the official websites of 29 national medical societies and the National Standard Information Public Service Platform,covering all records from inception to December 12,2023.A data extraction form was developed,and the included standards and specifications were categorized according to the first six RWD governance processes outlined in the Guidelines for Real World Data Used to Generate Real-World Evidence(Trial)issued by the National Medical Products Administration:data security,data extraction,data cleaning,data transformation,data transmission and storage,and quality control.Relevant content on data governance was systematically summarized and comparatively analyzed.Results A total of 32 standards and specifications were included,comprising 15 foundational medical data standards and 17 data gov-ernance technical specifications.Among these,6 addressed data security,6 covered data extraction,5 focused on data cleaning,5 involved data transformation,6 pertained to data transmission and storage,and 4 discussed quality control.Foundational medical data standards included data description elements,terminology,and format standards,broadly covering essential data elements and meeting basic standardization needs.Data gov-ernance technical specifications primarily provided general guidelines for medical data governance,emphasizing requirements and recommendations.While requirements for data security and extraction were relatively well-de-fined,technical guidance on data transformation and quality control remained limited,and implementation pathways for data cleaning,transmission,and storage were insufficiently detailed.Conclusions As real-world evidence plays an increasingly critical role in healthcare decision-making,China's medical standards and speci-fications have established a preliminary governance framework for RWD.However,technical details and practi-cal implementation of RWD governance still require further refinement.

Rare events are widely prevalent in various disciplines,including rare adverse reactions to vaccines and drugs,clinical rare diseases,and low-probability clinical outcomes.The reason for research interest on such events is that their occurrence often brings incalculable and serious consequences.In the context of big data,numerous methods have emerged for rare event data analysis,including sampling based,category weighting,ensemble learning,and deep learning.This article systematically summarizes the research progress of current rare event data analysis methods,and introduces their basic principles and applicable scenarios.By analyzing the advantages and disadvantages of existing methods,the challenges of rare event research are sorted out and summarized,and potential research directions in related fields are explored to provide references for researchers.