Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

Objective: To explore the association between the Internet usage characteristics and suicidal ideation among vocational high school students, so as to provide a theoretical basis for precise intervention of suicide among vocational high school students. Methods: A total of 1 781 students were recruited from three vocational high schools in Wuhan and Xianning in March 2023 by using the cluster random sampling method. The Columbia-Suicide Severity Rating Scale and Revised Chen Internet Addiction Scale were used to measure suicidal ideation and Internet addiction, respectively. LASSO regression model was used to select influential factors related to suicidal ideation, and the gradient boosting decision tree algorithm XGBoost was used to develop prediction models and evaluate predictive performance. By calculating the SHAP values, the contribution of each influential factor was quantified. Results: The prevalence of suicidal ideation among vocational high school students was 42.22% and prevalence of Internet addiction was 26.39%. LASSO regression results indicated that age, gender, experience of being left behind, parental relationship, holding a class cadre position, using the Internet for learning, Internet use during dawn, morning and late night, Internet addiction, and depressive symptoms were all the influential factors of suicidal ideation among vocational high school students ( β= -0.05 , 0.29, 0.09, 0.27, 0.10, -0.01, 0.09, 0.05, 0.24, 0.28, 0.78, all P <0.05). The AUC of the prediction model was 0.75. The results based on SHAP values indicated that all influential factors identified through multivariate analysis contributed positively to the model predictions ( SHAP >0). Among these, depressive symptoms and parental relationship had the greatest impact on suicidal ideation ( SHAP =0.77, 0.26), and the joint effect of features with higher contribution could improve the prediction probability. Conclusions Depressive symptoms, parental relationships, Internet addiction, and time of Internet use are most important risk factors of suicidal behaviors for vocational high school students. Thus, effective interventions should be conducted to reduce their suicidal ideation.

Objective:To study the survival and prognostic factors for the recurrent extracranial malignant germ cell tumors (MGCTs) in children, and to explore feasible salvage treatment.Methods:A retrospective study.Pediatric patients with recurrent extracranial MGCTs diagnosed in Shanghai Children′s Medical Center between January 2010 and January 2020 were retrospectively recruited.Comprehensive treatment regimens included surgery, chemotherapy and radiation.Kaplan-Meier survival analysis and Cox regression model were employed to analyze the survival and prognostic factors for children with recurrent extracranial MGCTs.Results:A total of 172 children with extracranial MGCTs were treated, including 21 (12.2%) recurrent cases.The median time of MGCT recurrence after the end of the first treatment was 11 months.Finally, 19 patients were recruited after excluding 2 non-eligible cases, including 10 boys and 9 girls with the age at recurrence of 26 (8-170) months.The follow-up time was 57 (13-122) months.Salvage chemotherapy, complete resection and radiotherapy were performed in 16, 14 and 4 patients, respectively.The 4-year overall survival (4yr-OS) rate was (82.5±9.2)%(19 cases). The 4yr-OS rate was significantly higher in patients managed with surgery but without adjuvant chemotherapy at the initial treatment (13 cases) than those managed with chemotherapy at the initial treatment (6 cases)[(92.3±7.4)% vs.(60.0%±21.9)%, P=0.002]. Univariant and Cox multivariant regression analyses showed that failure to achieve the normal range of alpha fetoprotein after 3 cycles of chemotherapy significantly influenced the survival of recurrent extracranial MGCTs. Conclusions:For patients with recurrent extracranial MGCTs, comprehensive treatment approaches like complete surgical resection, chemotherapy, and radiotherapy offer a favorable survival rate.Specifically, recurrent and re-treated patients who initially received surgery alone without adjuvant chemotherapy have a higher survival rate compared to those who received chemotherapy during the initial treatment.

Objective To develop a virtual world integration scale for adolescents and test its reliability and validity within the framework of the Virtual Social Ecology Model. Methods A total of 2543 students from four schools in Wuhan and Xianning were recruited from March to October 2023. The preliminary items of the scale were determined by semi-structured interview, literature review, brainstorming and Delphi expert consultation. The compiled scale was analyzed for validity and reliability using critical ration analysis, homogeneity test, confirmatory factor analysis, correlation related validity test , cronbach α coefficient, and split-half coefficient. Results The scale was preliminarily determined to consist of 20 items in 10 dimensions, including virtual self-identity, emotional interaction, virtual social interaction, cyber bullying, community activities, value identity, community participation, community management, network culture and virtual social capital. In the item analysis, the correlation coefficient of homogeneity test ranged from 0.496 to 0.767 (P<0.001), and there was statistical difference in critical ratio analysis (CR= 21.897-53.546, P<0.001). The fits of the confirmatory factor analysis model in validity analysis were: CFI=0.933, NFI=0.951, IFI=0.927, and RMSEA=0.064. The criterion validity showed a significantly positive association (the coefficient was between 0.450 and 0.855, P<0.01). The overall Cronbach α coefficient was 0.929 and the split-half coefficient was 0.846. The Cronbach α coefficients of sub-questionnaires were between 0.719 and 0.900 , and the split-half coefficients were between 0.729 and 0.913. Conclusion The Virtual World Integration Scale has good reliability and validity, and can be used as an assessment tool for the level of adolescents’ integration in virtual world.

Objective To analyze three-dimensional(3D)radiographic characterizations of bone island(BI)in jaw using cone-beam computed tomography(CBCT).Methods CBCT data from four thousand patients were selected,reconstructed and analyzed using NNT 10.0 software.The sagittal,coronal and axial planes were used to analyze the 3D radiographic characteristics of BIs,including the localization,shape,density,boundary,the relationship between BIs and tooth and bone cortex,diameter and anatomical structures and complications involved.Their relationship with gender were analyzed.Results A total of 803 people had BIs,with the prevalence rate of 20.08%,including 338 males with 389 BIs and 465 females with 526 BIs.Both males and females had a dominant BI,and the ratio between male and female was 1∶1.38,but the difference was not statistically significant(P＞0.05).The BIs of both male and female mostly occurred in the mandibular premolars and molars area,and appeared irregular in shape,dense and contact with lingual bone cortex.Mostly BIs were apical type and with unclear boundary.The mean maximum diameter of mesial/distal direction was greater than buccal/lingual direction(P＜0.05).The most commonly involved anatomy structure was the inferior alveolar neural canal,cortical infil-tration and mental foramen.Conclusion There are no significant differences between males and females in the three-dimensional image characteristics of BIs in Chinese populations.CBCT can accurately and comprehensively analyze the 3D radiographic characteris-tics of BI and its relationship with the surrounding teeth and bone.

[ABSTRACT]OBJECTIVE To analyze the risk factors for relapse in patients with chronic rhinosinusitis with nasal polyps(CRSwNP)combined with asthm and provide favorable information for precise treatment and healthy prognosis of patients with CRSwNP combined with asthma.METHODS The clinical data of 161 patients with chronic rhinosinusitis with nasal polyps(CRSwNP)combined with asthm who underwent endoscopic surgery at the Department of Otolaryngology Head and Neck Surgery,Yantai Yuhuanding Hospital,affiliated to Qingdao University,from January 2016 to June 2021 were selected.Based on Lasso's Cox regression analysis and multifactorial Cox regression analysis,the associated risk factors were investigated,and the area under curve(AUC)was calculated to determine the performance of the model.Finally,the Kaplan-Meier(K-M)curves were plotted for the relevant influencing factors.RESULTS The Age[HR(95%CI):0.96(0.948-0.98),P<0.001],gender[HR(95%CI):1.94(1.21-3.14),P=0.006],tissue eosinophil percentage[HR(95%CI):1.01(1.01-1.02),P=0.004],and endoscopic nasal polyp score[HR(95%CI):0.86(0.78-0.96),P=0.005]were highly correlated with recurrence in patients with CRSwNP combined with asthma.Patients with CRSwNP combined with asthma had a higher likelihood of relapse after treatment when the tissue Eos%was>21.28%and the endoscopic nasal polyp score was>4.CONCLUSION The age,gender,tissue eosinophil percentage and endoscopic nasal polyp score are independent risk factors for disease recurrence in patients with CRSwNP combined with asthma.

Objective:To establish a prediction model for symptomatic radiation pneumonitis (SRP) after radiotherapy for thoracic cancer based on a longitudinal cohort and dose interval variations.Methods:Clinical data of 587 patients who received thoracic radiotherapy in Department of Radiotherapy of Yunnan Cancer Hospital from July 2022 to June 2023 were retrospectively analyzed. The National Cancer Institute common terminology criteria for adverse events (CTCAE) version 5.0 was used to grade radiation pneumonitis, and clinical factors, traditional independent dosimetric characteristics and dose interval variation characteristics were collected. Features used to predict the occurrence of SRP were screened using genetic algorithms and analyzed the correlation between the selected features and SRP occurrence. Predictive models for SRP occurrence were established using the selected features and evaluated, and the optimal predictive model was visualized using a column chart.Results:The incidence of SRP was 35.94%. Five clinical factors, seven independent dosimetric features and six dose interval variation features were screened out by genetic algorithms to effectively predict the occurrence of SRP. The area under ROC curve (AUC) of clinical factors combined with traditional independent dosimetric factors and dose interval variation factors was 76%. The AUC of clinical factors combined with traditional independent dosimetric factors and that of clinical factors combined with dose interval variation factors was 69% and 67%, respectively. The addition of the characteristics of dose interval variation factors significantly improved the effectiveness of the prediction model.Conclusions:The supplement of the characteristics of dose interval variation factors can significantly improve the performance of the SRP prediction model for thoracic tumors after radiotherapy. The SRP prediction model based on dose interval variations can effectively predict the occurrence of SRP.

Objective:Hypoxia is an important cause of chemotherapy resistance in gastric cancer.However,little is known about the growth of gastric cancer under purely hypoxia conditions.This study aims to study the effect of hypoxia on the growth patterns of gastric cancer cells and explore the response of gastric cancer cells to the chemotherapeutic drug 5-fluorouracil(5-FU)in a hypoxic environment. Methods:Gastric cancer cells MKN45 were cultured under 1%oxygen hypoxia and conventional air conditions.An intervention group with the addition of the chemotherapeutic drug 5-FU was also established.The proliferation and apoptosis of gastric cancer cells under different oxygen conditions and intervention groups were detected using the cell counting kit-8(CCK-8)method,JC-1 mitochondrial membrane potential assay,and Annexin-V/PI double staining method.Cell cycle changes were detected by flow cytometry,and mitochondrial changes were detected using electron microscopy. Results:In the absence of 5-FU intervention,compared with the normoxia group,the hypoxia group showed higher rates of early and late apoptosis and higher cell death rates as indicated by the JC-1 mitochondrial membrane potential assay,Annexin-V/PI double staining,and CCK-8 results.Flow cytometry results showed that the cell cycle was arrested in the G0/G1 phase without progression.Electron microscopy revealed more severe mitochondrial destruction.However,with 5-FU intervention,the hypoxia group showed lower apoptosis rates,more cell cycle progression,and less mitochondrial destruction compared with the normoxia group. Conclusion:Hypoxic environments promote apoptosis and even death in gastric cancer cells,but hypoxia counteracts the efficacy of the chemotherapeutic drug 5-FU,which may contribute to 5-FU chemotherapy resistance.

OBJECTIVE To study material basis of Xianglian Pill(XLP)in vivo and in vitro using UPLC-Q-TOF-MS/MS technique,and to qualitatively analyze the main components of Xianglian Pill as well as the prototypical components and metabolites that were absorbed into the blood.METHODS A Thermo Accucore C18 column(2.1 mm×100 mm,2.6 μm)was used with 0.1%formic acid in water(A)-acetonitrile(B)as the mobile phase in a gradient elution mode,the column temperature was 40℃,and the flow rate was 0.4 mL·min-1 with the injection volume of 4 μL.The mass spectrometry information was collected by using the electros-pray ionization(ESI)ion source in the positive-negative ion scan mode.RESULTS By analyzing the precise relative molecular mass,retention times,secondary fragments and other mass spectrometry information of the components,and comparing them with the mass spectrometry information of the corresponding control products and relevant literature information,a total of 75 chemical compo-nents were finally identified in the extract of Xianglian Pill,including alkaloids,sesquiterpenoids,flavonoids,limonins and organic acids.In addition,16 prototypical components and 15 metabolites were identified in the plasma of the mice after the administration of the drug.Most of the prototypical components found in the plasma were alkaloids,and the metabolic pathways of these components in vivo were mainly hydroxylation,demethylation,reduction,hydrolysis,hydrogenation and glucuronidation.CONCLUSION The method can be used for the rapid identification of the external and internal components of Xianglian Pill,and its analytical results lay the foundation for further basic research on the pharmacological substances.

Traditional Chinese medicine,as a treasure of the Chinese nation,has a long history and rich cultural connotations.O-ver the past few hundred years,a large number of active compounds with clear structure,significant activity and elucidated mechanism have been discovered.Their research constitutes the material basis for traditional Chinese medicine research.However,the natural components of traditional Chinese medicine have diverse skeletons and complex structures.In addition to small molecule monomer com-pounds,more and more recent studies have found that there are new forms of material basis for traditional Chinese medicines to exert their pharmacological effects,such as supramolecules formed by active monomer compounds,and bio-macromolecules with pharmaco-logical activity.This article focuses on new forms of the material basis of traditional Chinese medicine,and through analysis of new technologies,mechanisms,and applications,it aims to provide new ideas for research on the material basis of efficacy in traditional Chinese medicine and its pharmacokinetic/pharmacodynamic correlation.