Objective: To explore the value of contrast-enhanced computed tomography (CT) radiomics combined with machine learning algorithms in the preoperative prediction of perineural invasion (PNI) in oral squamous cell carcinoma (OSCC), aiming to provide evidence for assisting clinical treatment decision-making. Methods​: This study was approved by the Ethics Committee of the Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine. A total of 250 OSCC patients confirmed by postoperative pathology were included, comprising 128 PNI-positive and 122 PNI-negative cases. The dataset was randomly divided into training (n=175), validation (n=38), and independent testing (n=37) sets in a ratio of 7:1.5:1.5. Regions of interest were delineated on preoperative images, and radiomic features were extracted. After dimensionality reduction and feature selection using methods like Least Absolute Shrinkage and Selection Operator (LASSO) regression, multiple machine learning models, including support vector machine (SVM), random forest, Light gradient boosting machine (LightGBM), and a Stacking ensemble model, were constructed. Model performance was evaluated using metrics such as the area under the receiver operating characteristic curve (AUC), sensitivity, calibration curves, and decision curve analysis (DCA). Model interpretability was analyzed using Shapley additive explanations (SHAP) and grouped permutation feature importance analysis. Results ​: ​ Among the 250 samples analyzed, the LightGBM model based on radiomics demonstrated the best performance on the independent test set, with an AUC of 0.781, outperforming models like SVM (AUC = 0.730) and Random Forest (AUC = 0.691), as well as clinical models (AUCs ranging 0.549-0.711). The LightGBM model showed good calibration (Brier score 0.198), and DCA indicated high clinical net benefit over a wide threshold probability range. Paired DeLong tests revealed no statistically significant differences in AUC between the ensemble (Stacking) model and the corresponding best-performing radiomics-based model. SHAP analysis and grouped permutation feature importance analysis further indicated that the primary discriminative information for the model came from radiomic texture features. Conclusion ​ The LightGBM model based on contrast-enhanced CT radiomics demonstrated good discriminative ability for preoperative prediction of PNI in OSCC. In the independent test set, it achieved the highest AUC. This model holds promise as a non-invasive auxiliary tool for preoperative risk assessment. Given the limited sample size of the independent test set, these results require further validation in larger cohorts and external datasets.

ObjectiveTo investigate the epidemiological and clinical characteristics of human bocavirus (HBoV) in hospitalized children with acute lower respiratory tract infection (ALRTI) at a single-center children’s hospital in Shanghai, thereby providing evidence for the diagnosis, treatment, and prevention of HBoV infection. MethodsA retrospective study was conducted on 19 537 hospitalized children with ALRTI at Shanghai Children’s Hospital from January 2021 to December 2023. Multiplex polymerase chain reaction (PCR) combined with capillary electrophoresis was used to detect HBoV and 12 other common respiratory viruses /atypical pathogens. The positive detection rate, demographic characteristics (sex, age), temporal distribution (year, season) of HBoV, as well as the clinical characteristics of severe and non-severe pneumonia were analyzed. ResultsThe overall HBoV-positive rate was 2.57% (503/19 537), with 59.44% (299/503) being single infections and 40.56% (204/503) being co-infections. The positive detection rate was significantly higher in boys than that in girls (2.78% vs 2.33%, χ²=3.88, P=0.049). The highest infection rate was observed in toddlers, followed by infants (χ²=379.57, P<0.001). The positive rate peaked in 2021 and reached its lowest point in 2023 (χ²=45.49, P<0.001), with epidemics mainly prevalent in summer and autumn. The main clinical symptoms were cough (90.06%, 453/503), fever (75.94%, 382/503), and wheezing (39.96%, 201/503). Children with severe pneumonia showed a higher incidence of wheezing compared with the non-severe group (P<0.001), while underlying diseases and co-infections had no significant association with disease severity (P>0.05). ConclusionHBoV was an important pathogen of ALRTI in children, predominantly affecting infants and toddlers, with higher susceptibility in boys and seasonal peaks in autumn and summer. The main clinical manifestations included cough, fever, and wheezing, with wheezing being more prevalent in children with severe pneumonia.

To compare the performance differences between the multidisciplinary team (MDT) model and the conventional diagnostic and treatment model for lung cancer, and to explore a high-quality development pathway for optimizing lung cancer diagnostic and treatment resources.

Bone metastases are a common and serious complication of solid tumors such as breast cancer, prostate cancer, lung cancer, and kidney cancer, and occur at a high rate in patients with advanced cancer. This pathological process not only frequently leads to skeletal-related events such as severe bone pain, pathological fractures, spinal cord compression, and hypercalcemia—conditions that severely impact patients’ quality of life—but may also significantly increase the risk of death. Cancer bone metastasis is a complex, multistage cascade involving key steps such as the detachment of tumor cells from the primary tumor, their invasion and entry into the bloodstream, and their colonization, dormancy, and reactivation within the bone microenvironment. In recent years, exercise—as a safe and easily implementable non-pharmacological intervention—has demonstrated significant potential in inhibiting bone metastasis, improving the bone microenvironment, and alleviating related clinical symptoms. Its mechanisms of action may involve multiple levels. First, at the mechanical load level, mechanical signals generated by exercise can directly act on bone cells, inhibiting tumor cell infiltration and colonization by regulating endothelial cell permeability and osteoclast activity. Second, at the endocrine and paracrine levels, exercise can alter the expression profiles of microRNAs (such as miR-486 and miR-34b) carried by extracellular vesicles and particles (EVPs) in the circulation, thereby inhibiting tumor cell proliferation and migration by targeting cell cycle-related genes. Furthermore, exercise can remodel the immune microenvironment, enhance the cytotoxic activity of antitumor immune cells, and improve oxygen supply to tumor tissues, thereby alleviating hypoxia-induced immunosuppression. Finally, at the metabolic intervention level, exercise can induce systemic metabolic reprogramming, increasing the nutritional demands of normal tissues, thereby competing with tumor cells for nutrients and forming a “metabolic barrier” in distal organs such as bones. This article reviews the pathogenesis and classification of bone metastases, including osteolytic, osteogenic, and mixed types, and elaborates in detail on the complex processes by which tumor cells undergo colonization, dormancy, and reactivation within the bone microenvironment. Furthermore, based on a comprehensive analysis of human and animal studies on exercise interventions for bone metastases, this paper highlights the mechanisms by which exercise inhibits tumor formation, growth, and spread through the regulation of mechanical loading, extracellular vesicles and granules, as well as via immune and metabolic pathways, thereby interfering with bone metastasis. However, the array of exercise modalities and intensities available for patients grappling with the challenges of cancer-related bone metastases remains markedly constrained, and the formulation of tailored exercise prescriptions continues to be devoid of robust, evidence-based medical backing. This review aims to explore the effects of exercise on bone health in patients with bone metastases, analyze the factors and considerations that should be taken into account in exercise prescriptions, and provide new theoretical support and insights for developing personalized exercise programs for these patients and further advancing relevant clinical research. Future research directions should include the development of evidence-based, personalized exercise prescriptions and further clarification of the safety boundaries and best practice standards for exercise interventions, thereby promoting the advancement of relevant clinical research and ultimately improving patients’ clinical outcomes and quality of life.

OBJECTIVE To provide data support and theoretical reference for drug-regulatory authorities to implement targeted supervision over internet-based pharmaceutical sales.METHODS Using keywords such as “internet-based pharmaceutical sales” and “online drug sales”， the official websites of the People’s Government， drug-regulatory authorities and databases including PKULaw and others were searched， so as to collect typical cases and public disclosure information of administrative penalties related to internet-based pharmaceutical sales from January 2014 to June 2024. Guided by accident-causation theory， the text-mining method was adopted to identify risk factors from four dimensions： human unsafe behaviors， unsafe state of substances， environmental factors and safety management. Grey relational analysis was performed to quantitatively evaluate and screen key risk factors， and targeted governance suggestions were subsequently put forward.RESULTS A total of 617 administrative penalty cases were included. The number of cases increased significantly since 2018. The regional distribution of cases presented a characteristic of “high in the east and low in the west”. Violations were mainly concentrated in the business qualification examination link， and online pharmaceutical retail enterprises were the dominant law-breaking subjects. A risk identification system for internet-based pharmaceutical sales was constructed， covering 4 primary-level， 17 secondary-level and 56 tertiary-level risk factors. Through grey relational analysis， 37 key tertiary-level risk factors （most of which belonged to the safety-management dimension） including inadequate bill management and illegal drug-advertising content， as well as 12 key secondary-level risk factors such as drug-advertising violations and non-standard drug storage， were screened out.CONCLUSIONS Inadequate capabilities and weak compliance awareness of practitioners， illegal drug advertising， non-standard drug storage and transportation， and imperfect quality-management systems of online-drug-sales enterprises and third-party platforms are prominent safety risk factors for internet-based pharmaceutical sales. It is recommended to strengthen qualification examination and competency training for practitioners， standardize drug-information display and drug advertising， improve the management system of drug warehousing and logistics， and refine institutional requirements for key links， so as to improve the supervision efficiency of internet-based pharmaceutical sales.

ObjectiveTo investigate the trends in the disease burden of falls among Chinese children and adolescents from 1990 to 2021, and to inform the development of targeted prevention and control strategies. MethodsData on age-standardized incidence rate, age-standardized mortality rate and age-standardized disability-adjusted life years (DALYs) rate for falls among Chinese children and adolescents under 20 years of age from 1990 to 2021 were systematically extracted from the Global Burden of Disease Study (GBD) 2021 database. The annual percent change (APC) and average annual percent change (AAPC) were calculated to evaluate temporal trends in fall-related disease burden across different age groups and sexes. ResultsFrom 1990 to 2021, the age-standardized incidence rate of falls among Chinese children and adolescents showed a non-linear fluctuation (AAPC=0.08%, P=0.040), while both the age-standardized mortality rate and age-standardized DALYs rate declined (AAPC=-3.66% and -3.09%, both P<0.001). The crude incidence rate decreased in the <5 years old and 5 ‒ <10 years old groups (AAPC=-1.38% and -0.29%, both P<0.001), but increased annually in the 10 ‒ <15 years old and 15 ‒ <20 years old groups (AAPC=0.27% and 0.81%, both P<0.001). The crude mortality rate and crude DALYs rate declined across all four age groups, with the most significant reduction observed in the <5 years old group (AAPC=-5.21%, 95%CI:-5.55%‒ -5.00%; AAPC=-4.98%, 95%CI: -5.20%‒ -4.79%, both P<0.001). For both males and females, the age-standardized incidence rate of falls showed a V-shaped trend (initial decline followed by a subsequent rise). In contrast, the age-standardized mortality rate and age-standardized DALY rate declined in both sexes, with an AAPC of -3.40% and -2.94% for males, and -4.50% and -3.49% for females, respectively (all P<0.001). ConclusionThe overall disease burden of falls among Chinese children and adolescents has been substantially improved; however, the incidence burden remains considerable. Future prevention efforts should be tailored to age- and sex-specific characteristics, with the family as the fundamental care unit in conjunction with high-quality nursing extension services, to establish a closed-loop management model encompassing “early identification, immediate intervention, and continuous follow-up.”

This article summarizes Professor HAN Mingxiang's clinical experience in treating lung cancer based on the theory of "deficiency-phlegm-stasis-toxin". It is believed that depletion of healthy qi， together with binding of phlegm and stasis forming into toxin is the core pathogenesis of lung cancer occurrence and development. In clinical practice， the core treatment principle should be reinforcing healthy qi， resolving phlegm， removing stasis， and relieving toxins. The treatment should be given based on syndrome differentiation. For the syndrome of lung-spleen qi deficiency， the self-formulated Jianpi Huatan Zhike Decoction （健脾化痰止咳汤） can be applied to fortify the spleen and replenish qi， thereby reinforcing healthy qi. For the syndrome of deficiency of both qi and yin， the self-formulated Shenmai Yuzhu Decoction （参麦玉竹汤） is used to nourish yin and moisten the lungs， thereby clearing the source. For the syndrome of phlegm-dampness accumulating in the lungs， the self-formulated Sizi Wenfei Decoction （四子温肺汤） is applied to warm the lungs and resolve phlegm， thereby diffusing the lung qi. For the syndrome of qi stagnation and blood stasis， the self-formulated Yiqi Zhuyu Decoction （益气逐瘀汤） is used to activate blood and resolve stasis， thereby unblocking the collaterals. For the syndrome of binding of phlegm and stasis， the self-formulated Jiejie Decoction （结节方） is utilized to resolve phlegm and remove stasis， thereby dissipating nodules. For the syndrome of lung deficiency with toxin accumulation， the self-formulated Qiyu Sanlong Decoction （芪玉三龙汤） is applied to reinforce healthy qi and remove toxins， thereby combating cancer. Medications are flexibly prescribed based on syndrome differentiation， with an emphasis on reinforcing healthy qi and eliminating pathogenic factors， and maintaining the balance of zang-fu （脏腑） organ functions as well as qi， blood， yin and yang.

Objective:To evaluate the safety and effectiveness of robot-assisted coronary artery bypass(RACAB).Methods:We retrospectively analyzed the clinical outcomes from 252 consecutive patients who underwent RACAB in our center between April 2021 and August 2023. The internal mammary artery(IMA) was harvested using the skeletonized technique with the assistance of the robotic system. Then, graft-to-target vessel anastomoses were performed via a 4-6 cm left fifth intercostal thoracotomy. Coronary angiography or coronary CTA was routinely performed before discharge.Results:149 patients(59.1%) underwent multi-vessel coronary bypass. 140 patients(55.6%) underwent total arterial bypass grafting, with 131 patients(52.0%) undergoing RACAB with in situ bilateral IMA. IMA harvesting failed in 6 patients(1.6%). One patient(0.4%) was assisted by extracorporeal circulation, and 5 patients(2.0%) underwent re-thoracotomy postoperatively. The patency rate of grafts was 96.6%(449/465). The 12-month and 24-month survival rate were 97.8% and 96.5% respectively; The 12-month and 24-month MACCE-free survival rate were 95.2% and 92.6%, respectively.Conclusion:RACAB is safe and feasible. With the assistance of the robotic system, in situ bilateral IMA can be obtained and bypassed to all target vessels territory. Extended follow-up is warranted.

Dopamine(DA)is an essential neurotransmitter.Research on its dynamic concentration fluctuations,particularly within the extracellular microenvironment,is crucial for elucidating neural signaling mechanisms and pathogenesis of related disorders.Among DA detection methods,fluorescence probe-based imaging offers advantages such as high sensitivity,high specificity,and non-invasiveness.However,the application of these probes for in situ DA monitoring has been limited by the challenges including probe internalization and difficulties in labeling across cells.Here,leveraging the programmability and high stability of DNA nanostructures,a DNA prism-based probe for imaging DA release at the single-cell level was designed and constructed.This probe utilized surface-modified cholesterol for efficient membrane anchoring and a DA aptamer-based"turn-on"sensing module to detect DA directly on the cell membrane.Using this probe,rapid DA release triggered by high K+stimulation was observed,with the released DA concentration increasing over time and peaking at 8 min post-stimulation.More notably,exploiting the probe's ability to simultaneously anchor to two cells,thereby forming cell clusters,revealed that the distribution of DA within the intercellular space was significantly higher than that in the cell body regions.This probe not only provided a method for DA imaging on the cell membrane but also laid a theoretical foundation for developing broader neurotransmitter detection platforms,holding significant scientific merit and application potential.

Surface enhanced Raman scattering(SERS)is an important technique for detecting pesticide residues.However,many pesticides have small Raman scattering cross sections and low affinity for gold/silver enhancement substrates,resulting in low sensitivity for direct SERS detection.Indirect methods typically require complex surface modifications and have poor universality.Here,a dual functional composite Au@MnO2 combined with acetylcholinesterase(AChE)was proposed for SERS biosensing of pesticides.The Au@MnO2 with oxidase-like activity could oxidize 3,3′,5,5′-tetramethylbenzidine(TMB)into oxTMB with a large Raman scattering cross section,producing strong SERS signal using Au@MnO2 itself as enhancement substrate.In the presence of AChE,acetylthiocholine(ATCh)was catalytically hydrolyzed to produce thiocholine(TCh),and its reducibility could induce the decomposition of MnO2.Consequently,oxidase-like activity of Au@MnO2 was declined,less oxTMB was produced,and gold nanoparticles(AuNPs)detached from the MnO2 layer,resulting in a weakened SERS response.Organophosphorus pesticides(OPs),as inhibitors of AChE,prevented the production of TCh,thereby blocking the decomposition of MnO2 and leading to the recovery of Raman signals.Under optimized conditions,the Raman signal switching strategy was successfully used for detection of three OPs,i.e.,fenthion,chlorpyrifos,and methyl parathion,with detection limits of 4×10-11 mol/L,2×10-9 mol/L,and 3×10-9 mol/L,respectively.In actual spinach sample testing,the spiked recoveries of the three OPs ranged from 86.5%to 110.6%.This study provided a new strategy for detecting pesticide residues using SERS.