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.

ObjectiveCerebrospinal fluid (CSF) plays a crucial role in maintaining the homeostasis of the central nervous system (CNS). CSF rapidly exchanges with interstitial fluid (ISF) via the glymphatic system within the brain parenchyma. CSF-ISF circulation and its associated mechanisms are often referred to as the brain lymphatic system. This system is connected directly to meningeal lymphatic vessels (mLVs), jointly performing the function of clearing metabolic waste from the CNS. Emerging evidence indicates that this system is closely associated with the onset and progression of neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD). Importantly, abnormal CSF circulation is not only a downstream consequence of AD pathology, but also a risk factor. In AD, the dynamics of CSF flow within the CNS are diminished, immune dysregulation occurs, and this may increase the risk of AD by exacerbating the burden of amyloid β-protein (Aβ). In the mouse model of AD, impaired CSF flow compromises this clearance function, leading to cognitive deficits. Clinically, acupuncture at cognition-related acupoints is commonly used for the prevention and treatment of AD. However, whether its therapeutic effects are mediated through the modulation of CSF dynamics remains unclear. This study aimed to evaluate the impact of acupuncture on CSF flow and investigate its acupoint specificity. MethodsMice were randomly assigned to experimental groups for the different electroacupuncture groups with the following acupoints: Baihui point (GV 20), Ear point, Neiguan point (PC 6), and Tianshu point (ST 25). Wild-type mice on a C57BL/6J background were used as controls. Fluorescent tracer was injected into the cisterna magna to label CSF flow. Fluorescence imaging was employed to assess the distribution of CSF within the brain before and after acupuncture stimulation. ResultsFollowing tracer injection into the cisterna magna, fluorescence signals rapidly reached the cerebellum and medulla—the regions closest to the injection site. Fluorescence intensity was higher in ventral brain regions compared to dorsal regions, likely due to greater vascular density in ventral areas facilitating CSF-ISF exchange. Electroacupuncture at the GV 20 produced the most pronounced enhancement of CSF across the whole brain, while stimulation at the ST 25 primarily augmented flow within subcortical regions. In contrast, electroacupuncture at the Ear point or the PC 6 had no observable effect on CSF in mice. ConclusionElectroacupuncture promotes CSF flow into the brain parenchyma in an acupoint-specific manner, with GV 20 exhibiting the most pronounced enhancement of CSF dynamics. These findings suggest that acupuncture-mediated facilitation of CSF flow may represent a potential therapeutic strategy for preventing or delaying age-related cognitive decline.

ObjectiveThis paper aims to investigate the effects and mechanism of Mimenghua prescription in modulating the mitogen-activated protein kinase kinase （MEK）/rat sarcoma viral oncogene homolog （Ras）/rapidly accelerated fibrosarcoma kinase （Raf）/extracellular signal-regulated kinase （ERK） signaling pathway to inhibit inflammatory responses in a dry eye animal model. MethodsA total of 60 C57BL/6J mice （eight weeks old， half male and half female） were used in the experiment. Ten mice were randomly selected as the blank control group， while the remaining 50 were exposed to a controlled dry system and received instillation of 0.2% benzalkonium chloride （BAC） into the eyes for four weeks to establish a dry eye mouse model. After successful modeling， the mice were randomly divided into five groups： Model group， sodium hyaluronate group， and Mimenghua prescription groups with low dose （4.83 g·kg^-1）， medium dose （9.67 g·kg^-1）， and high dose （19.34 g·kg^-1）. The mice in the model group received an equal volume of normal saline via gavage for four weeks. The mice in the sodium hyaluronate group received instillation of sodium hyaluronate eye drops twice daily for 14 consecutive days. The tear secretion volume， tear film break-up time （TBUT）， and corneal fluorescein staining were evaluated once every two weeks. After four weeks of administration， mice were euthanized， and their lacrimal gland tissues and corneas were harvested. Hematoxylin-eosin （HE） staining was used to assess histopathological morphology. Western blot was performed to detect the protein expression levels of MEK， Ras， Raf， and ERK. Enzyme-linked immunosorbent assay （ELISA） was used to measure the contents and expressions of MEK， Ras， Raf， ERK， and interleukin （IL）-1β in lacrimal gland and corneal tissues of the mice in each group. Quantitative real-time polymerase chain reaction （Real-time PCR） was employed to determine mRNA expression levels of MEK， Ras， Raf， and ERK. ResultsThe Mimenghua prescription groups and the sodium hyaluronate group exhibited significantly increased tear secretion volume （P<0.05） and prolonged TBUT （P<0.05） after treatment. Ocular surface damage of mice was visibly recovered. Western blot results indicated that protein expression levels of MEK， Ras， Raf， and ERK in the lacrimal gland and corneal tissues were significantly downregulated in the sodium hyaluronate group and Mimenghua prescription group with high dose （P<0.05）. ELISA results showed that IL-1β levels were highest in the model group but significantly reduced in the sodium hyaluronate group and Mimenghua prescription groups （P<0.05）. Both ELISA and Real-time PCR results demonstrated that the expression levels of MEK， Ras， Raf， and ERK in the lacrimal glands and corneal tissues were significantly elevated in the model group （P<0.05）， but markedly downregulated in the sodium hyaluronate group and Mimenghua prescription groups （P<0.05）， suggesting that Mimenghua prescription can decrease the expressions of MEK， Ras， Raf， and ERK in the lacrimal glands and corneal tissues. ConclusionMimenghua prescription can reduce inflammatory responses， increase tear secretion， prolong TBUT， and promote corneal recovery by inhibiting the MEK， Ras， Raf， and ERK signaling pathways in lacrimal gland and corneal tissues.

ObjectiveCerebrospinal fluid (CSF) plays a crucial role in maintaining the homeostasis of the central nervous system (CNS). CSF rapidly exchanges with interstitial fluid (ISF) via the glymphatic system within the brain parenchyma. CSF-ISF circulation and its associated mechanisms are often referred to as the brain lymphatic system. This system is connected directly to meningeal lymphatic vessels (mLVs), jointly performing the function of clearing metabolic waste from the CNS. Emerging evidence indicates that this system is closely associated with the onset and progression of neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD). Importantly, abnormal CSF circulation is not only a downstream consequence of AD pathology, but also a risk factor. In AD, the dynamics of CSF flow within the CNS are diminished, immune dysregulation occurs, and this may increase the risk of AD by exacerbating the burden of amyloid β-protein (Aβ). In the mouse model of AD, impaired CSF flow compromises this clearance function, leading to cognitive deficits. Clinically, acupuncture at cognition-related acupoints is commonly used for the prevention and treatment of AD. However, whether its therapeutic effects are mediated through the modulation of CSF dynamics remains unclear. This study aimed to evaluate the impact of acupuncture on CSF flow and investigate its acupoint specificity. MethodsMice were randomly assigned to experimental groups for the different electroacupuncture groups with the following acupoints: Baihui point (GV 20), Ear point, Neiguan point (PC 6), and Tianshu point (ST 25). Wild-type mice on a C57BL/6J background were used as controls. Fluorescent tracer was injected into the cisterna magna to label CSF flow. Fluorescence imaging was employed to assess the distribution of CSF within the brain before and after acupuncture stimulation. ResultsFollowing tracer injection into the cisterna magna, fluorescence signals rapidly reached the cerebellum and medulla—the regions closest to the injection site. Fluorescence intensity was higher in ventral brain regions compared to dorsal regions, likely due to greater vascular density in ventral areas facilitating CSF-ISF exchange. Electroacupuncture at the GV 20 produced the most pronounced enhancement of CSF across the whole brain, while stimulation at the ST 25 primarily augmented flow within subcortical regions. In contrast, electroacupuncture at the Ear point or the PC 6 had no observable effect on CSF in mice. ConclusionElectroacupuncture promotes CSF flow into the brain parenchyma in an acupoint-specific manner, with GV 20 exhibiting the most pronounced enhancement of CSF dynamics. These findings suggest that acupuncture-mediated facilitation of CSF flow may represent a potential therapeutic strategy for preventing or delaying age-related cognitive decline.

Objective:Based on multivariate analysis of the influencing factors of fecal pollution after radical re-section in children with congenital megacolon,a risk prediction model was constructed and evaluated.Methods:A total of 200 children with Hirschsprung's disease who underwent radical surgery at Nanyang Central Hospital of Henan Province from June 2020 to June 2023 were selected,and all children were followed up for 1 year.According to the occurrence of postoperative fecal incontinence,the children were divided into the non-occurrence group and the oc-currence group.Univariate Logistic regression analysis was performed on all possible influencing factors,and the back-ward stepwise regression method was used to screen out the relevant factors affecting postoperative fecal inconti-nence in children with Hirschsprung's disease after radical surgery.A risk prediction model was constructed based on these relevant factors,and its efficacy was verified using calibration curves,the Hosmer-Lemeshow test,and ROC curves.Results:Postoperative fecal incontinence occurred in 19.50%(39/200)of the children.A statistically signifi-cant difference was observed between the non-occurrence group and the occurrence group in terms of the following data(P＜0.05):age,preoperative nutritional support,need for auxiliary defecation before surgery,length of the dis-eased intestinal segment,educational level of caregivers,preoperative hypoproteinemia,resection range,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative enterocolitis,and post-operative anal dilatation therapy.Multivariate Logistic regression analysis showed that preoperative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,educational level of caregivers,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative entero-colitis,and postoperative anal dilatation therapy were all independent influencing factors for postoperative fecal inconti-nence in children with Hirschsprung's Disease after radical surgery(P＜0.05).Among these factors,the educational level of caregivers was the strongest predictor of postoperative fecal incontinence in children with Hirschsprung's dis-ease after radical surgery.Results of the calibration curve showed that the concordance index of the risk prediction model for postoperative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.837.The Hosmer-Lemeshow test results indicated no statistically significant difference between the predicted values and the actual values of risk prediction(P＜0.05),suggesting that the model had a good fit and high prediction accuracy.Re-sults of the ROC curve showed that the area under the curve(AUC)of the risk prediction model for predicting postop-erative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.887(95%CI:0.762～1.000,P＜0.05),with a sensitivity of 0.914,a specificity of 0.763,and a Youden index of 0.677.These findings indicate that the risk prediction model has moderate discriminative ability and good predictive performance.Conclusion:Preop-erative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,edu-cational level of caregivers,postoperative diet compliance of children,postoperative defecation training of children,postoperative enterocolitis,and postoperative anal dilatation therapy are all independent influencing factors for postop-erative fecal incontinence in children with Hirschsprung's disease after radical surgery.The risk prediction model for postoperative fecal incontinence in children with Hirschsprung's disease after radical surgery,established based on multivariate analysis,is helpful for early identification of high-risk groups and timely implementation of individualized in-tervention measures.

Traumatic brain injury(TBI)is a serious condition characterized by high rates of mortality and disability.Deaths caused by severe TBI usually occur within the first few hours after the injury.Timely and effective management of TBI during pre-hospital and emergency treatment phases is crucial for improving patients'prognosis.To address this issue,the Emergency Physicians Branch of the Chinese Medical Doctor Association,the Emergency Medicine Professional Committee of the People's Liberation Army,the Beijing Emergency Medicine Society,and the Chinese Emergency Medicine Specialist Association have jointly selected national experts in emergency medicine and neurosurgery to formulate the"Chinese Expert Consensus on the Pre-hospital and Emergency Diagnosis and Treatment of Adult Traumatic Brain Injury".This consensus consists of two parts focusing on pre-hospital and emergency diagnosis and treatment of TBI,with 24 recommendations put forward to guide relevant clinical practices in pre-hospital and emergency management.

Objective:Based on multivariate analysis of the influencing factors of fecal pollution after radical re-section in children with congenital megacolon,a risk prediction model was constructed and evaluated.Methods:A total of 200 children with Hirschsprung's disease who underwent radical surgery at Nanyang Central Hospital of Henan Province from June 2020 to June 2023 were selected,and all children were followed up for 1 year.According to the occurrence of postoperative fecal incontinence,the children were divided into the non-occurrence group and the oc-currence group.Univariate Logistic regression analysis was performed on all possible influencing factors,and the back-ward stepwise regression method was used to screen out the relevant factors affecting postoperative fecal inconti-nence in children with Hirschsprung's disease after radical surgery.A risk prediction model was constructed based on these relevant factors,and its efficacy was verified using calibration curves,the Hosmer-Lemeshow test,and ROC curves.Results:Postoperative fecal incontinence occurred in 19.50%(39/200)of the children.A statistically signifi-cant difference was observed between the non-occurrence group and the occurrence group in terms of the following data(P＜0.05):age,preoperative nutritional support,need for auxiliary defecation before surgery,length of the dis-eased intestinal segment,educational level of caregivers,preoperative hypoproteinemia,resection range,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative enterocolitis,and post-operative anal dilatation therapy.Multivariate Logistic regression analysis showed that preoperative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,educational level of caregivers,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative entero-colitis,and postoperative anal dilatation therapy were all independent influencing factors for postoperative fecal inconti-nence in children with Hirschsprung's Disease after radical surgery(P＜0.05).Among these factors,the educational level of caregivers was the strongest predictor of postoperative fecal incontinence in children with Hirschsprung's dis-ease after radical surgery.Results of the calibration curve showed that the concordance index of the risk prediction model for postoperative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.837.The Hosmer-Lemeshow test results indicated no statistically significant difference between the predicted values and the actual values of risk prediction(P＜0.05),suggesting that the model had a good fit and high prediction accuracy.Re-sults of the ROC curve showed that the area under the curve(AUC)of the risk prediction model for predicting postop-erative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.887(95%CI:0.762～1.000,P＜0.05),with a sensitivity of 0.914,a specificity of 0.763,and a Youden index of 0.677.These findings indicate that the risk prediction model has moderate discriminative ability and good predictive performance.Conclusion:Preop-erative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,edu-cational level of caregivers,postoperative diet compliance of children,postoperative defecation training of children,postoperative enterocolitis,and postoperative anal dilatation therapy are all independent influencing factors for postop-erative fecal incontinence in children with Hirschsprung's disease after radical surgery.The risk prediction model for postoperative fecal incontinence in children with Hirschsprung's disease after radical surgery,established based on multivariate analysis,is helpful for early identification of high-risk groups and timely implementation of individualized in-tervention measures.

Aim To investigate the association between cardiovascular health(CVH)score based on life's es-sential 8(LE8)on cognitive function and the mediation role of neutrophil-to-lymphocyte ratio(NLR)between them in ol-der adults,providing basis for the prevention and control of cognitive impairment.Methods The study population was selected from the National Health and Nutrition Examination Survey(NHANES)2011-2014 two cycles of 60 years and a-bove,demographic characteristics,medical history and other variables were collected,the participants'CVH scores were calculated according to LE8 defined by American Heart Association,and cognitive function was assessed using the digit symbol substitution test.The relationship between CVH and cognitive function was explored using a weighted linear re-gression analysis,and the dose-response relationship was analyzed using a restricted cubic spline.Moreover,mediation a-nalysis was used to explore the role of NLR in mediating the relationship between CVH score and cognitive function.Results A total of 2 510 participants were included in this study.After adjusting for relevant factors,cognitive function was positively associated with moderate CVH group score(β=3.36,95％CI:1.43～5.30)and high CVH group score(β=6.01,95％CI:2.89～9.13)compared with the low CVH group score.The LE8 single factor of diet score(β=0.04,95％CI:0.01～0.06),physical activity score(β=0.04,95％CI:0.02～0.05),tobacco exposure score(β=0.05,95％CI:0.02～0.08),blood pressure score(β=0.03,95％CI:0.01～0.05)and blood glucose score(β=0.06,95％CI:0.03～0.09)were positively correlated with cognitive function score.The results of restricted cubic splines showed that the score of CVH was linear positively correlated with the score of cognitive function.The indirect effect of CVH on cognitive function via NLR was 0.002(P＞0.05),and the proportion of mediating effect was 1.29％(P＞0.05),indicating the mediating effect of NLR on the relationship between CVH score and cognitive function was not signif-icant.Conclusions The CVH score based on the LE8 was positively correlated with cognitive function in older adults,underscoring the crucial role of maintaining optimal CVH levels in supporting cognitive health.However,the NLR,as an indicator of inflammation,did not exhibit a significant mediating effect between the CVH score and cognitive function.The relationship between these variables might be influenced by other mechanisms.

Objective To explore the anti-inflammatory properties of the ethyl acetate extract(ETCB)derived from Trollius chinensis Bge.using in vitro RAW264.7 cells stimulated with lipopolysaccharide and an in vivo mouse auricle model induced by xylene.Utilizing UHPLC-Q-TOF-MS(LC-MS)and network pharmacology,the components of ETCB were analyzed,and its anti-inflammatory mechanisms were preliminarily explored.Methods The anti-inflammatory activity of various solvent extracts of Trollius chinensis Bge.was assessed through the Griess assay.The impact of ETCB on the production of TNF-α and IL-6 in RAW264.7 cells induced by lipopolysaccharide was evaluated using ELISA.Real-time qPCR was conducted to determine the effect of ETCB on the expression levels of inflammatory factors such as TNF-α,IL-6,and iNOS in cells.The anti-inflammatory efficacy was further validated in a xylene-induced ear inflammation mouse model by measuring ear swelling and tissue levels of IL-6 and TNF-α.The composition of ETCB was analyzed using LC-MS.Network pharmacology was employed to screen for effective components,targets,and pathways involved in the anti-inflammatory effects of Trollius chinensis Bge.,followed by molecular docking verification between core components and targets.Results ETCB demonstrated the most potent inhibitory effect on NO production in RAW264.7 cells stimulated by lipopolysaccharide,indicating its primary role in the anti-inflammatory activity of Trollius chinensis Bge..ETCB significantly reduced TNF-α and IL-6 levels in inflammatory cells(P<0.01)and inhibited the mRNA expression of TNF-α,IL-6,and iNOS.In the xylene-induced mouse ear inflammation model,ETCB effectively alleviated ear swelling and decreased tissue levels of TNF-α and IL-6.LC-MS analysis identified 30 chemical components in ETCB,including 21 flavonoids,7 organic acids,1 polysaccharide,and 1 anthocyanin.Network pharmacology prediction and screening revealed TNF,Akt1,PTGS2,EGFR,SRC,and MMP9 as core targets,with hydroxyquercetin,lignin from fragrant leaves,zeaxanthin from willows,plantain,thistle,and sophora flavins as key anti-inflammatory active ingredients.The molecular docking analysis revealed positive interactions,characterized by favorable binding energy,between the active components and key targets.Conclusion ETCB demonstrates strong anti-inflammatory properties both inside and outside the body,functioning through various targets and pathways.This establishes a basis for deeper understanding of the anti-inflammatory mechanism of Trollius chinensis Bge.

Aim To investigate the association between cardiovascular health(CVH)score based on life's es-sential 8(LE8)on cognitive function and the mediation role of neutrophil-to-lymphocyte ratio(NLR)between them in ol-der adults,providing basis for the prevention and control of cognitive impairment.Methods The study population was selected from the National Health and Nutrition Examination Survey(NHANES)2011-2014 two cycles of 60 years and a-bove,demographic characteristics,medical history and other variables were collected,the participants'CVH scores were calculated according to LE8 defined by American Heart Association,and cognitive function was assessed using the digit symbol substitution test.The relationship between CVH and cognitive function was explored using a weighted linear re-gression analysis,and the dose-response relationship was analyzed using a restricted cubic spline.Moreover,mediation a-nalysis was used to explore the role of NLR in mediating the relationship between CVH score and cognitive function.Results A total of 2 510 participants were included in this study.After adjusting for relevant factors,cognitive function was positively associated with moderate CVH group score(β=3.36,95％CI:1.43～5.30)and high CVH group score(β=6.01,95％CI:2.89～9.13)compared with the low CVH group score.The LE8 single factor of diet score(β=0.04,95％CI:0.01～0.06),physical activity score(β=0.04,95％CI:0.02～0.05),tobacco exposure score(β=0.05,95％CI:0.02～0.08),blood pressure score(β=0.03,95％CI:0.01～0.05)and blood glucose score(β=0.06,95％CI:0.03～0.09)were positively correlated with cognitive function score.The results of restricted cubic splines showed that the score of CVH was linear positively correlated with the score of cognitive function.The indirect effect of CVH on cognitive function via NLR was 0.002(P＞0.05),and the proportion of mediating effect was 1.29％(P＞0.05),indicating the mediating effect of NLR on the relationship between CVH score and cognitive function was not signif-icant.Conclusions The CVH score based on the LE8 was positively correlated with cognitive function in older adults,underscoring the crucial role of maintaining optimal CVH levels in supporting cognitive health.However,the NLR,as an indicator of inflammation,did not exhibit a significant mediating effect between the CVH score and cognitive function.The relationship between these variables might be influenced by other mechanisms.