With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Digital intelligence technology is a comprehensive technical system with data as the key element and artificial intelligence as the core driving force. It provides innovative methodological support for addressing core bottlenecks in rare disease etiology research, including sample scarcity, high-dimensional datacomplexity, intricate pathogenic mechanisms, and challenges in causal validation. This paper systematically reviews the application pathways and current implementation of digital intelligence across four major stages of rare disease research, including etiological clue mining, causal inference, mechanism analysis, and clinical translation. Furthermore, it summarizes the technical strengths, existing limitations, and developmental challenges, aiming to inform optimization of the research paradigm and promote the sustainable advancement of rare disease research.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

Objective To explore the relationship between dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)and clinical pathological features of invasive breast cancer and lymphovascular invasion(LVI).Methods Imaging and clinical pathological data were retrospectively collected from 508 patients with invasive breast cancer who underwent breast DCE-MRI at the First Medical Center of Chinese PLA General Hospital from January 2019 to August 2021.Patients were divided into the LVI-positive(LVI+)group(n=79)and LVI-negative(LVI-)group(n=429)based on postoperative pathological results.Univariate and multivariate logistic regression analyses were used to identify risk factors for LVI.Results Compared with LVI-group,LVI+group had a higher proportion of patients aged<45 years(44.3%vs.27.0%,P=0.002),non-mass-like enhancement(NME)(31.7%vs.17.7%,P=0.004),Ki-67 expression rate(40.0%vs.30.0%,P<0.001),high Ki-67 expression(94.9%vs.78.1%,P=0.001),Luminal B subtype(76.0%vs.60.1%,P=0.008),and positive axillary lymph nodes rate(72.2%vs.31.5%,P<0.001),while the proportion of Luminal A subtype was lower(2.5%vs.21.5%,P<0.001).Univariate and multivariate logistic regression analyses showed that age≥45 years(OR=0.468,95%CI 0.280-0.783,P=0.004)was an independent protective factor for LVI,while NME(OR=1.987,95%CI 1.126-3.444,P=0.016)was an independent risk factor.Compared with Luminal A subtype,patients with Luminal B subtype(OR=10.482,95%CI 3.164-64.923,P=0.001),HER-2 overexpression subtype(OR=11.571,95%CI 2.755-79.341,P=0.003)and triple-negative subtypes(OR=8.433,95%CI 1.985-57.908,P=0.009)had a higher risk of LVI.Conclusions Age≥45 years is an independent protective factor for LVI,while NME is an independent risk factor.Among molecular subtypes,patients with Luminal B,HER-2 overexpression and triple-negative subtypes have a higher risk of LVI compared with the Luminal A subtype.

Resistance to poly adenosine diphosphate(ADP)-ribose polymerase inhibitor(PARPi)presents a considerable obstacle in the treatment of ovarian cancer.F-box and tryptophan-aspartic(WD)repeat domain containing 11(FBXW11)modulates the ubiquitination of growth-and invasion-related factors in lung cancer,colorectal cancer,and osteosarcoma.The function of FBXW11 in PARPi therapy is still ambiguous.In this study,RNA sequencing(RNA-seq)showed that FBXW11 expression was raised in ovarian cancer cells that had been treated with PARPi.FBXW11 was abnormally expressed at low levels in high-grade serous ovarian cancer(HGSOC)tissues,and low levels of FBXW11 were associated with shorter overall survival(OS)and progression-free survival(PFS)in HGSOC patients.Overexpressing FBXW11 made ovarian cancer more sensitive to PARPi,while knocking down FBXW11 made it less sensitive.The four-dimensional(4D)label-free quantitative proteomic analysis revealed that FBXW11 targeted S100 calcium binding protein A11(S100A11)and promoted its degradation through ubiquiti-nation.The increased degradation of S100A11 led to less efficient DNA damage repair,which in turn contributed to increased PARPi-induced DNA damage.The role of FBXW11 in promoting PARPi sensitivity was also confirmed in xenograft mouse models.In summary,our study confirms that FBXW11 promotes the susceptibility of ovarian cancer cells to PARPi via affecting S10OA11-mediated DNA damage repair.

Objective:To Evaluate the potential causal relationship between the levels of 179 lipids in peripheral blood and the risk of different subtypes of lung cancer by Mendelian randomization analysis.Methods:A two-sample Mendelian randomization analysis was performed using data from the Genome-Wide Association Study(GWAS),and sensitivity analysis was performed to verify the reliability of the results.Single nucleotide polymorphisms(SNPs)were used as instrumental variables,and GWAS data for different subtypes of lung cancer were used as outcome variables.We analyze potential causal associations between the levels of 179 lipids and the risk of different subtypes of lung cancer.Results:The causal relationship between phosphatidylcholine and lung adenocarcinoma was established as a protective factor,and Sphingomyelin and Triacylglycerol have been identified as being linked to lung adenocarcinoma and function as risk factors.Phosphatidylcholine were found to have a causal association with lung squamous cell carcinoma serving as a protective factor,and Phosphatidylethanolamine and Sphingomyelin were identified as risk factors for lung squamous cell carcinoma.However,the effects of different subtypes of Phosphatidylcholine on lung adenocarcinoma and lung squamous cell carcinoma were different.The study did not find evidence that lipids can influence small cell lung carcinoma.Conclusion:This study provides evidence of a causal relationship between lipids level features and different subtypes of lung cancer.

Objective To explore the application of goal-directed fluid therapy based on pulse pressure variation rate(PPV)combined with low central venous pressure(LCVP)technique in liver surgery.Methods A total of 86 patients who underwent liver lobe/segment resection in our hospital from January 2022 to December 2023 were included,and randomly divided into two groups by random sequence method.Patients in the conventional group were treated with LCVP technique,while patients in the test group were given PPV goal-directed intervention on the basis of the conventional group.The surgical indicators,hemodynamic indicators,cognitive function,adverse reactions and recovery of gastrointestinal function of patients in the two groups were compared.Results There was no statistically significant difference in the operation time,Pringle maneuver time,first postoperative exhausting time or first postoperative defecation time of patients between the two groups(P>0.05).However,the intraoperative blood loss,intraoperative fluid infusion volume and hospital stay of patients in the test group were all less/shorter than those in the conventional group(P<0.05).Compared with the time point of T0,patients in the two groups showed increased heart rate(HR)but decreased mean arterial pressure(MAP)and central venous pressure(CVP)at time points of T1 and T2(P<0.05).There was no statistically significant difference in the HR or MAP of patients between the two groups at time points of T0,T1,T2 and T3(P>0.05).At time points of T1 and T2,the CVP of patients in the test group was lower than that in the conventional group(P<0.05).One day after operation,the mini-mental state examination(MMSE)score of patients in the test group was higher than that in the conventional group(P<0.05).The MMSE scores 7 days after operation of patients in the two groups were higher than those 1 day after operation(P<0.05).Patients in the test group had a lower total incidence of adverse reactions and a shorter recovery time of gastrointestinal function than those in the conventional group(P<0.05).Conclusion The goal-directed fluid therapy based on PPV combined with LCVP technique has a good application effect in liver surgery,which can reduce intraoperative blood loss and fluid infusion volume of patients,shorten hospital stay,increase hemodynamic stability,improve postoperative cognitive dysfunction,and promote the recovery of gastrointestinal function,with a relatively high treatment safety.

Objective:To explore the application value of dynamic monitoring of serum thyroid hormone(THs)levels in assessing the condition changes and prognosis of elderly patients with sepsis.Methods:Using a retrospective cohort study,a total of 120 elderly critically ill patients hospitalized in the Department of Critical Care Medicine from April 2020 to April 2023 were selected as research subjects,divided into a sepsis group(60 cases)and a non-sepsis group(60 cases).Sepsis patients were further divided into a survival group(43 cases)and a death group(17 cases)based on 28-day survival status.Serum THs,PCT,IL-6,and Lac were measured on the 1st,5th,and 10th days of hospitalization(d1,d5,dl0)for sepsis patients,and the Sequential Organ Failure Assessment(SOFA)score and Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score were recorded.The datas of non-sepsis patients were sampled on d1.The incidence of non-thyroidal illness syndrome(NTIS)was statistically analyzed,and the dynamic changes of serum THs among different groups were compared.The correlation between THs and disease severity,as well as the predictive value of THs for 28-day mortality in sepsis,was analyzed.Results:①The incidence of NTIS was 78.33％(94/120),with a significantly higher incidence in sepsis patients(96.67％,58/60)compared to non-sepsis patients(60.00％),with statistical significance(P＜0.05).②Compared to non-sepsis patients,sepsis patients had significantly lower levels of TSH,T3,FT3,and T4 on d1,while rT3 was significantly elevated,with statistical significance(P＜0.05);the difference in FT4 levels was not statistically significant(P＞0.05).Pearson correlation analysis showed that T3 and T4 were negatively correlated with SOFA and APACHE Ⅱ scores(P＜0.05),while other THs indicators showed no correlation with SOFA and APACHE Ⅱ scores(P＞0.05).ANOVA results indicated that there was no statistically significant difference in T4 levels at the three time points,and its changes showed no obvious linear trend over time(P＞0.05);T3 was significantly lower on d1 than on d5 and d10,and showed an increasing trend with longer hospitalization,while SOFA and APACHE Ⅱ scores were significantly higher on d1 than on d5 and d10,showing a decreasing trend with longer hospitalization(all P＜0.05).③Compared to the survival group of sepsis patients,the death group had significantly higher levels of PCT on d10,IL-6 on d5 and d10,and Lac on d1,d5,and d10(P＜0.05).The death group had significantly lower levels of T3 and T4 on d1,significantly lower levels of TSH,T3,T4,and FT4 on d5,and significantly lower levels of TSH,T3,FT3,T4,and FT4 on d10,with statistical significance(P＜0.05).④Logistic regression analysis showed that independent risk factors for 28-day mortality in sepsis patients included T3 on d1 and T3,FT3,T4,FT4,and IL-6 on d10,with statistical significance(P＜0.05).ROC curve analysis indicated that serum levels of T3,FT3,T4,and FT4 on d10 had certain predictive value for 28-day mortality in sepsis patients(all P＜0.05),with T3,FT3,and FT4 showing good predictive value,and their AUCs were 0.875,0.872,and 0.861,respectively.The combined AUC for predicting 28-day mortality in sepsis patients using T3,FT3,and FT4 on d10 increased to 0.902.Conclusion:The incidence of NTIS was high in elderly sepsis patients,and the serum THs levels and their dynamic changes were closely related to the patients'condition changes.Continuous dynamic monitoring of serum THs levels could help to assess the progression of sepsis,and T3 may serve as an indicator for evaluating the progression and prognosis of sepsis.