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.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have been included in various neoadjuvant therapy (NAT) regimens for non-small cell lung cancer (NSCLC). However, due to the relatively short period for the use of ICIs in NAT, patients' clinical outcomes with different regimens are uncertain. Our study aims to examine the efficacy of neoadjuvant immunotherapy (NAIT) for NSCLC patients and compare the overall survival (OS) and event-free survival (EFS) of patients receiving different NAT regimens. METHODS: This study retrospectively included 308 NSCLC patients treated with different NAT regimens and subsequent surgery in National Cancer Center between August 1, 2016 and July 31, 2022. Kaplan-Meier survival analysis and Cox proportional hazards regression analysis were conducted to evaluate the prognosis of patients. RESULTS: With a median follow-up of 27.5 months, the 1-year OS rates were 98.8% and 96.2%, and the 2-year OS rates were 96.6% and 85.8% in patients of the NAIT and neoadjuvant chemotherapy (NACT) group, respectively (hazard ratio [HR], 0.339; 95% confidence interval [CI], 0.160-0.720; P = 0.003). The 1-year EFS rates were 96.0% and 88.0%, and the 2-year EFS rates were 92.0% and 77.7% for patients in the NAIT and NACT groups, respectively (HR, 0.438; 95% CI, 0.276-0.846; P = 0.010). For patients who did not achieve pathological complete response (pCR), significantly longer OS ( P = 0.012) and EFS ( P = 0.019) were observed in patients receiving NAIT than those receiving NACT. Different NAT regimens had little effect on surgery and the postoperative length of stay (6 [4, 7] days vs . 6 [4, 7] days, Z = -0.227, P = 0.820). CONCLUSIONS NAIT exhibited superior efficacy to NACT for NSCLC, resulting in longer OS and EFS. The OS and EFS benefits were also observed among patients in the NAIT group who did not achieve pCR.
Humans ; Carcinoma, Non-Small-Cell Lung/mortality* ; Male ; Female ; Lung Neoplasms/mortality* ; Middle Aged ; Immune Checkpoint Inhibitors/therapeutic use* ; Neoadjuvant Therapy/methods* ; Retrospective Studies ; Aged ; Adult ; Kaplan-Meier Estimate ; Treatment Outcome ; Immunotherapy/methods*

Objective: To investigate the biological effects of carvacrol on rats with stomach-heat and stomach-cold and its regulation on transient receptor potential(TRP) channels in rats with stomach-heat, and to study the cold and heat properties of carvacrol and its possible mechanism. Methods: According to the random number method, 100 SD rats were divided into stomach-heat blank group, stomach-heat model group, Coptidis Rhizoma group, stomach-heat low-dose and high-dose carvacrol group, stomach-cold blank group, stomach-cold model group, Baked ginger group, stomach-cold low-dose group and high-dose carvacrol group, 10 rats in each group. The rat model of stomach-heat was established by intragastric administration of pepper aqueous solution (0.80 g/kg) and anhydrous ethanol, and the rat model of stomach-cold was established by intragastric administration of water extract of Anemarrhena asphodeloides and sodium hydroxide (10.40 g/kg). On the day of modeling, the rats in the Baked ginger group were given Baked ginger decoction (0.78 g/kg), and the rats in the Coptidis Rhizoma group were given Coptidis Rhizoma decoction (0.43 g/kg).The stomach-cold and stomach-heat low-dose group of carvacrol was given carvacrol emulsion (40 mg/kg), high-dose group was given carvacrol emulsion (80 mg/kg).All rats of the blank and model groups were given the equal volume of emulsion prepared by 5% dimethyl sulfoxide, 1% Tween 80, 1% polyethylene glycol 400, and 93% normal saline, once a day, for 7 days. The general condition of rats was observed and the body mass was recorded. The pathological morphology of gastric tissue was observed by hematoxylin-eosin staining. The changes of material and energy metabolism, cyclic nucleotide (cAMP), thyroid hormone and gastrointestinal hormone in each group were determined by enzyme-linked immunosorbent assay. The expression levels of transient receptor potential vanilloid subtype 1 (TRPV1), transient receptor potential channel M8 (TRPM8) and uncoupling protein-1 (UCP1) in rats with gastric fever were detected by Western blotting. Results: Compared with the stomach-heat blank group, the body mass of rats in the stomach-heat model group decreased at the fifth and seventh day (P<0.05). The contents (or ratio) of hepatic glycogen (HGlyc), total cholesterol (TC), triglyceride (TG), and vasoactive intestinal peptide (VIP) were decreased (P<0.05), and Na+ -K+ -ATPase, Ca2+ -Mg2+ -ATPase, cytochrome C oxidase (COX), NADH dehydrogenase (ND), cyclic adenosine phosphate (cAMP), cAMP/cyclic guanosine phosphate (cGMP), triiodothyronine (T3), thyroxine (T4), gastrin (GAS), motilin (MTL), and α-amylase (α-AMS) all increased (P<0.05). Compared with the stomach-heat model group, the body mass of rats in the Coptidis Rhizoma group decreased at the third, fifth, and seventh day, the contents (or ratio) of HGlyc, TC, TG, VIP and α-AMS were increased, and Na+ -K+ -ATPase, COX, ND, cAMP, cAMP/cGMP, T3, T4, and GAS all decreased (P<0.05). The body mass of rats in the stomach-heat low-dose carvacrol group decreased at the seventh day. The contents (or ratio) of HGlyc, TC, and VIP were increased, Na+ -K+ -ATPase, COX, ND, cAMP, cAMP/cGMP, T3, T4, and MTL all decreased, the expression of TRPV1 and UCP1 in gastric tissue decreased, while TRPM8 increased (P<0.05) in rats of the stomach-heat low-dose and high-dose carvacrol groups. Compared with the stomach-cold blank group, the body mass of rats in the stomach-cold model group decreased at the third, fifth, and seventh day, the contents (or ratio) of HGlyc, TC, TG, α-AMS, and VIP all increased, while Na+ -K+ -ATPase, Ca2+ -Mg2+ -ATPase, COX, ND, cAMP, cAMP/cGMP, T3, T4, GAS, and MTL all decreased (P<0.05). Compared with the stomach-cold model group, the body mass of rats in the Baked ginger group was increased at the seventh day, and the contents (or ratio) of HGlyc, VIP, and α-AMS all decreased, while Na+ -K+ -ATPase, COX, ND, cAMP/cGMP, T3, T4, GAS, and MTL all increased (P<0.05). The contents of HGlyc, cAMP, α-AMS, and VIP of rats in the stomach-cold low and high-dose carvacrol group all decreased (P<0.05). TG in the stomach-cold low-dose carvacrol group was increased. TC, Ca2+ -Mg2+ -ATPase, and cGMP all increased, while cAMP/cGMP decreased (P<0.05) in the high-dose carvacrol group. Conclusion In this study, the rat model of stomach-cold and stomach-heat were successfully established by using cold and heat factors. The result showed that carvacrol had a certain inhibitory effect on body mass, material energy metabolism, cyclic nucleotide level, thyroid hormone and gastrointestinal function in rats with stomach-heat, indicating that the drug was cold. Carvacrol′s cold medicinal property could be biologically explained by TRPV1 activation, UCP1 induction, and TRPM8 suppression.

Solanum nigrum is a traditional Chinese herb widely distributed in China. It is rich in active ingredients such as alkaloids and saponins， and has shown remarkable hepatoprotective effects and various mechanisms in the treatment of various liver diseases. It can prevent and treat chemical liver injury through anti-inflammatory， antioxidant， gut microbiota-regulating， and anti- fibrotic pathways. In the prevention and treatment of fatty liver disease， it can regulate lipid metabolism， inhibit lipogenesis， and promote fat degradation. It has potential antiviral activity against viral hepatitis. By inducing tumor cell apoptosis， arresting the cell cycle， and inhibiting tumor cell proliferation and metastasis and so on， it plays a role in the prevention and treatment of liver cancer. Clinically， S. nigrum has been used in the treatment of liver cancer and liver fibrosis after chronic hepatitis B， showing good efficacy and high safety. Future research should focus on further elucidating its mechanisms of action and promoting the development and application of new drugs， in order to benefit more patients with liver diseases.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

With the advancement of medical imaging technology,MRI has become an essential tool for the diagnosis and research of neurological disorders.7T MRI,due to its high resolution and signal-to-noise ratio,demonstrates significant advantages in the diagnosis and research of neurological diseases.This article reviews the applications of 7T MRI in neurological research,including its use in neurodegenerative diseases,neuropsychiatric disorders and brain tumors.Furthermore,we discuss the future prospects and potential developments of 7T MRI in neuroimaging.

Purpose To compare the effectiveness of double-echo steady state(DESS)sequences at 7T and 3T MRI in peripheral nerves and nerve fascicles around the knee joint.Materials and Methods Fourteen healthy volunteers in the First Affiliated Hospital of Army Medical University from July 2022 to March 2025 were selected for 3T and 7T MRI scans,which included three-dimensional dual-echo steady state(3D-DESS)and dual-echo steady state with higher in-plane spatial resolution(DESSHR).Image and tissue signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were measured.Qualitative metrics were assessed using a five-point Likert scale,and consistency of qualitative measurements was evaluated.Results The SNR of the peroneal nerve using the 3D-DESS sequence on 3T MRI was significantly lower than that on 7T MRI(t=2.913,P=0.011),while there were no statistically significant differences in SNR between other sequences(t=-0.564,-0.843,1.424,all P>0.05).The CNR of the peroneal nerve/fat using the 3D-DESS sequence on 7T MRI(t=2.490,P=0.027)and the DESSHR sequence(t=3.354,7.467,both P<0.01)was significantly higher than that of 3T MRI.However,the CNR of the tibial nerve/fat using the 3D-DESS sequence(t=-4.162,P=0.001)and the CNR of the tibial nerve/muscle using the DESSHR sequence(t=-4.358,P=0.001)were significantly lower on 7T MRI than those on 3T MRI.The image quality of both the DESSHR and 3D-DESS sequences on 7T MRI was significantly superior than those of on 3T MRI(mean differences:0.139,1.000;χ2=4.765,70.000,P<0.029,P<0.001),with clearer imaging of nerves around the knee(mean differences:0.717-2.071;χ2=66.000,62.000,68.000,23.684,60.000,58.000,61.000,58.000,all P<0.001);the DESSHR sequence on 3T MRI had fewer artifacts than that on 7T MRI(mean difference:-0.785;χ2=47.078,P<0.001).The qualitative measurement results were consistently evaluated by five assessors with good agreement(Kappa=0.67-0.85,P<0.001).Conclusion Compared with 3T MRI,the DESS sequence based on 7T can better visualize the common peroneal nerve,tibial nerve,saphenous nerve and their nerve bundles.

Objective To investigate the prognostic role of serum beta 2-microglobulin(β2M)as a systemic inflammatory biomarker in hospitalized patients with exacerbation of COPD,compared with other inflammatory biomarkers.Methods We retrospectively analyzed hospitalized patients with exacerbated COPD as the first diagnosis at Beijing Chao-Yang hospital,P.R.China,from December 31,2012 to December 28,2017.Serum β2M levels,laboratory and clinical indexes were measured or collected on admission,and all patients were followed up for 90 days.The prognostic performance of β2M was compared with the neutrophils-lymphocytes ratio(NLR),C-reactive protein values(CRP)and white blood cell(WBC)using MedCalc.Results For 30-day mortality,β2M,NLR,and CRP showed significant predictive value(all P<0.001)and were better than WBC(P=0.044,0.003 and 0.030,respectively)in hospitalized patients with exacerbated COPD,while WBC had no predictive significance.For 90-day mortality,β2M,NLR,CRP,and WBC were all statistically significant,but only NLR outperformed WBC(P=0.004).No significant differences were observed among β2M,NLR,and CRP.Conclusion As a systemic inflammatory biomarker,serum β2M was a useful prognostic biomarker for short-term death in hospitalized patients with COPD exacerbations.It performed slightly better than NLR and CRP for 30-day mortality prediction and slightly superior to CRP and slightly inferior to NLR for 90-day mortality prediction.

Objective To investigate the prognostic role of serum beta 2-microglobulin(β2M)as a systemic inflammatory biomarker in hospitalized patients with exacerbation of COPD,compared with other inflammatory biomarkers.Methods We retrospectively analyzed hospitalized patients with exacerbated COPD as the first diagnosis at Beijing Chao-Yang hospital,P.R.China,from December 31,2012 to December 28,2017.Serum β2M levels,laboratory and clinical indexes were measured or collected on admission,and all patients were followed up for 90 days.The prognostic performance of β2M was compared with the neutrophils-lymphocytes ratio(NLR),C-reactive protein values(CRP)and white blood cell(WBC)using MedCalc.Results For 30-day mortality,β2M,NLR,and CRP showed significant predictive value(all P<0.001)and were better than WBC(P=0.044,0.003 and 0.030,respectively)in hospitalized patients with exacerbated COPD,while WBC had no predictive significance.For 90-day mortality,β2M,NLR,CRP,and WBC were all statistically significant,but only NLR outperformed WBC(P=0.004).No significant differences were observed among β2M,NLR,and CRP.Conclusion As a systemic inflammatory biomarker,serum β2M was a useful prognostic biomarker for short-term death in hospitalized patients with COPD exacerbations.It performed slightly better than NLR and CRP for 30-day mortality prediction and slightly superior to CRP and slightly inferior to NLR for 90-day mortality prediction.