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.

Liver cancer imposes a substantial global disease burden.Hepatocellular carcinoma(HCC),as the primary pathological type of primary liver cancer,accounts for approximately 90％of all cases.As a minimally invasive treatment,thermal ablation causes minimal impact on liver function and trauma,serving as the first-line treatment option for early-stage HCC patients unsuit-able for surgical resection.However,clinical data indicate that 5-year recurrence rate of HCC pa-tients after thermal ablation treatment is as high as 50％～70％,and incomplete ablation remains a core factor leading to recurrence.Therefore,exploring and optimizing complete ablation strategies has become a critical direction for improving the efficacy of thermal ablation in HCC and enhanc-ing long-term survival rates of patients.This paper systematically reviews the current applications of thermal ablation in HCC treatment and focuses on discussing key technologies and strategies for achieving complete ablation,with the aim of providing theoretical foundations and technical refer-ences for improving the complete ablation rate of thermal ablation in clinical practice and formu-lating personalized diagnosis and treatment plans.

Objective:To evaluate the accuracy and feasibility of an automated scanning and uptake system to assist pathologists with hu-man epidermal growth factor receptor 2(HER2)FISH interpretation.Methods:HER2 gene amplification is detected using FISH,and"result interpretation by independent pathologists"is regarded as the"gold standard."The consistency of"human-machine dialogue results"(use of a CytoVision* system combined with manual interpretation)and"CytoVision*-based automated interpretation"with the"gold standard"was assessed.Results:Consistency between"human-machine dialogue results"and the"gold standard"can surpass 91%,with the former method saving up to 50%of the manual operation time.The tendency of each cell nucleus's HER2 copy number to be"underestimated"is the main reason for the low sensitivity observed in cases with low copy number amplification and HER2 heterogeneous expression cases in"human-machine dialogue interpretation."Conclusions:Automatic FISH image analysis and uptake systems simulate the process of manu-ally interpreted cell selection,ensure random cell selection,and improve work efficiency.With its accurate selection of the hybridization re-gion and"human-computer dialogue,"the system is expected to"replace"interpretation by independent pathologists.

Objective:To compare the effect of repeated transcranial magnetic stimulation (rTMS) targeting the M1 hand area, the M1 lower limb area, or the sciatic nerve on the motor functioning and ability in the activities of daily living of persons after a spinal cord injury (SCI).Methods:This was a retrospective analysis of data describing 86 hospitalized SCI patients. They were divided into four groups based on where the rTMS was applied: an M1 hand area group ( n=22), an M1 lower limb area group ( n=20), a sciatic nerve group ( n=24), and a control group ( n=20) who never received rTMS. In addition to conventional medication and rehabilitation training, the M1 hand area group, the M1 lower limb area group and the sciatic nerve group received 10Hz rTMS over the named area for 4 weeks. Before and after the treatment, the Spinal Cord Independence Measure (SCIM) total scores, SCIM indoor activity (SCIM12) sub-scores, Modified Barthel Index (MBI) scores, and lower extremity motor (LEMS) scores were compared among the four groups. Results:After the treatment, the average SCIM, SCIM12, MBI, and LEMS scores had improved significantly in all four groups. The average SCIM [10.00(4.00, 24.75] and MBI scores [12.00(6.75, 31.50)] of the M1 hand area group were then significantly better than the control group′s averages [3.50(0.00, 9.50) and 7.50(1.25, 17.75)]. There was also significantly greater improvement in the average LEMS score of the M1 hand area group [2.00(0.00, 10.00)] compared with both the sciatic nerve group [0.00(0.00, 2.00)] and the control group [0.00(0.00, 1.75)].Conclusions:High-frequency rTMS stimulation of the M1 hand area significantly promotes the recovery of lower limb motor function and self-care ability after an SCI. It is more effective than stimulating the M1 lower limb area or the sciatic nerve.

Objective:To relate the changes in electroencephalography (EEG) signals after a spinal cord injury (SCI) with functional independence.Methods:The EEG data describing ninety SCI patients in both open and closed eye states were compared with those collected from 45 healthy counterparts. The SCI patients′ EEG data were correlated with their spinal cord independence measure (SCIM) scores at corresponding time points. The SCI patients were divided into a cervical SCI group (SCI-C group) and a non-cervical SCI group (SCI-NC group), with 45 cases in each group. The difference in EEG data between them and its correlation with the SCIM scores were also compared and analyzed.Results:In the eyes-open state, the EEG power in the frontal, central, temporal, and right occipital regions of the SCI group was lower than among the control group, on average. There were significant differences in the δ and θ low-frequency bands. The α1 band power in the frontal and right parietal regions was significantly higher in the SCI group, on average. With the eyes closed the δ band power in the right prefrontal, frontal, left central, and temporal regions of the SCI group was lower than among the control group, while the α1 band power in the right prefrontal, frontal, central, and parietal regions was significantly higher. The reactivity to eye opening of the α1 band in the right prefrontal, frontal, central, parietal, and temporal regions was less in the SCI patients compared to healthy subjects. Among the SCI patients, higher EEG power in the β2 band of the right frontal lobe and the α2 and β bands of the right temporal lobe was significantly positively correlated with higher SCIM scores during the eyes-open measurements. And the higher EEG power in the α2 band of the prefrontal and frontal lobes, the β2 band of the frontal lobe, the α2 band of the right central region, the α2 and β bands of the temporal lobe, and the α2 and β2 bands of the occipital lobe was significantly positively correlated with higher SCIM scores during the eyes-closed state. The subgroup analysis showed that the δ band power in the left temporal lobe and the α2 band power in the parietal lobe were lower among the SCI-C compared with the SCI-NC patients in the eyes-open state. With the eyes closed, the δ band power in the left frontal, left parietal, and left temporal lobes and the α2 band power in the frontal, central, parietal, temporal, and right occipital lobes was significantly lower in the SCI-C group compared to the SCI-NC group, on average. The reactivity to eye opening of the δ band in the temporal lobe, the α2 band in the left prefrontal, frontal, central, parietal, temporal, and right occipital lobes, and the β2 band in the right parietal and left occipital lobes was less in the SCI-C group than in the SCI-NC group ( P≤0.05). Among the SCI-C patients, higher EEG power in the β1 and β2 bands of the right temporal lobe with the eyes open was significantly positively correlated with higher SCIM scores. With the eyes closed, higher EEG power in the α2 and β1 bands of the right prefrontal lobe was significantly positively correlated with higher SCIM scores. Among the SCI-NC patients, higher EEG power in the δ band of the prefrontal lobe, the β1 and β2 bands of the left prefrontal lobe, and the δ bands of the frontal, central, right parietal, and right temporal lobes during the eyes open measurements was significantly positively correlated with higher SCIM scores. Conclusions:The EEG power of cervical and non-cervical SCI patients shows characteristic changes which correlate with their functional independence.

Pre-eruptive intra-coronal resorption is a rare intra-coronal dental disorder that typically emerges prior to tooth eruption. The radiological images show a well-demarcated low-density translucent area within the dentin adjacent to the enamel-dentin junction. This lesion is often accidentally discovered by radiological examinations. It may even progress to enamel and the dentin of the root. Currently, there is a considerable variation in the reported prevalence of this lesion. Its pathogenic mechanisms have not been fully revealed, and there is lack of systematic clinical management strategies. This article provides a comprehensive review of the pre-eruptive intra-coronal resorption, and aims as a reference for dentists to improve their understanding of this lesion, and to facilitate its early detection, early diagnosis and timely treatment.

ObjectiveTo investigate the clinical features and outcomes of recompensation in patients with autoimmune hepatitis （AIH）-related decompensated cirrhosis， to identify independent predictive factors， and to construct a nomogram prediction model for the probability of recompensation. MethodsA retrospective cohort study was conducted among the adult patients with AIH-related decompensated cirrhosis who were admitted to The Fifth Medical Center of PLA General Hospital from January 2015 to August 2023 （n=211）. The primary endpoint was achievement of recompensation， and the secondary endpoint was liver-related death or liver transplantation. According to the outcome of the patients at the end of the follow-up， the patients were divided into the recompensation group （n=16） and the persistent decompensation group（n=150）.The independent-samples t test was used for comparison of normally distributed continuous data with homogeneity of variance， and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data with heterogeneity of variance； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups； the Kaplan-Meier method was used for survival analysis； the Cox proportional-hazards regression model was used to identify independent predictive factors， and a nomogram model was constructed and validated. ResultsA total of 211 patients were enrolled， with a median age of 55.0 years and a median follow-up time of 44.0 months， and female patients accounted for 87.2%. Among the 211 patients， 61 （with a cumulative proportion of 35.5%） achieved recompensation. Compared with the persistent decompensation group， the recompensation group had significantly higher white blood cell count， platelet count （PLT）， total bilirubin （TBil）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bile acid， prothrombin time， international normalized ratio （INR）， SMA positive rate， Model for End-Stage Liver Disease （MELD） score， Child-Pugh score， and rate of use of glucocorticoids （all P0.05）， as well as significantly lower age at baseline， number of complications， and death/liver transplantation rate （all P0.05）. At 3 and 12 months after treatment， the recompensation group had continuous improvements in AST， TBil， INR， IgG， MELD score， and Child-Pugh score， which were significantly lower than the values in the persistent decompensation group （all P0.05）， alongside with continuous increases in PLT and albumin， which were significantly higher than the values in the persistent decompensation group （P0.05）. The multivariate Cox regression analysis showed that baseline ALT （hazard ratio ［HR］=1.067， 95% confidence interval ［CI］： 1.010 — 1.127， P=0.021）， IgG （HR=0.463，95%CI：0.258 — 0.833， P=0.010）， SMA positivity （HR=3.122，95%CI：1.768 — 5.515， P0.001）， and glucocorticoid therapy （HR=20.651，95%CI：8.744 — 48.770， P0.001） were independent predictive factors for recompensation， and the nomogram model based on these predictive factors showed excellent predictive performance （C-index=0.87，95%CI：0.84 — 0.90）. ConclusionAchieving recompensation significantly improves clinical outcomes in patients with AIH-related decompensated cirrhosis. Baseline SMA positivity， a high level of ALT， a low level of IgG， and corticosteroid therapy are independent predictive factors for recompensation. The predictive model constructed based on these factors can provide a basis for decision-making in individualized clinical management.

Objective　Exploring the role of Nestin in liver repair in mice infected with Echinococcus multilocularis. Methods The expression of Nestin in the liver of normal Nestin-cre/Rosa26-tdTomato transgenic mice at 1, 2 and 8 weeks of birth was detected by immunofluorescence method, and the transgenic mice model of Echinococcus multilocularis infection was established. HE was used to detect the pathological damage of Echinococcus multilocularis infected liver, and the expression of Nestin in the liver after Echinococcus multilocularis infection was detected by immunofluorescence. Transwell experiment detected the migration ability of Nestin positive cells stimulated by EmP. Immunofluorescence assay was used to detect the co localization of Nestin and ALB in the liver of transgenic mice infected with Echinococcus multilocularis, and immunohistochemistry was used to detect the expression of Ki67 in the liver of infected mice. Results A Nestin-cre/Rosa26-tdTomato transgenic mouse genotype was established. Immunofluorescence detection revealed that Nestin expression was highest in the liver of mice at 1 week of birth, and gradually decreased after 2 and 8 weeks (P<0.001); The Nestin content in the liver of mice infected with Echinococcus multilocularis gradually increased after 1, 3, and 5 months of infection, and the difference was statistically significant (P<0.001). Transwell experiments showed that EmP at a concentration of 5 μg/mL enhanced the migration ability of Nestin positive cells (P<0.001). Immunofluorescence detection revealed co localization of Nestin and ALB in the liver of mice infected with Echinococcus multilocularis. Immunohistochemistry showed that the expression level of Ki67 in the liver of infected mice gradually increased with infection time of 1, 3, and 5 months (P<0.001). Conclusion After infection with Echinococcus multilocularis, Nestin expression is enhanced in the liver, and Nestin-positive cells are recruited to participate in the process of liver injury repair.

Objective:To prepare decellularized extracellular matrix (dECM)-gelatin methacryloyl (GelMA) composite hydrogels and to study their effects on hepatocyte proliferation.Methods:Hepatic dECM was prepared by elution, and GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels were prepared by pepsin solubilization. The morphology of normal liver and dECM liver was observed by eyes and scanning electron microscopy using hematoxylin-eosin, Sirius red and periodate-Schiff staining, respectively. The internal structure of the dECM-GelMA composite hydrogels was observed by scanning electron microscopy, and the pore diameter was measured. Liver HL-7702 cells were co-cultured with GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels, and the cell proliferation viability was determined by cell counting kit-8. The expression of proliferating cell nuclear antigen (PCNA), Wnt family protein 5a (Wnt5a), β-catenin, extracellular-regulated protein kinase 1/2 (ERK1/2) and phosphorylated ERK1/2 (p-ERK1/2) were detected by Western blotting. Comparisons were made using independent sample t-test or one-factor analysis of variance. Results:After decellularization, the hepatocyte morphology showed rounded depressions, and the extracellular matrix structure was intact. The GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels showed inernally porous structures. The pore diameter increased from (3.06±1.35) μm in the GelMA hydrogel to (16.01±4.02) μm in the 50% dECM-GelMA composite hydrogel. On the 3rd, 5th and 7th day, the relative cell proliferation was higher in the 50% dECM-GelMA composite hydrogel group than that in the GelMA hydrogel group (1.89±0.04 vs 1.53±0.01, 9.36±0.04 vs 3.89±0.09, 7.15±0.27 vs 4.89±0.15, all P<0.05). The relative expression levels of PCNA, Wnt5a, β-catenin, and p-ERK1/2/ERK1/2 proteins in the 50% dECM-GelMA composite hydrogel group were higher than those in the GelMA hydrogel group (2.14±0.04 vs 1.00±0.03, 2.36±0.09 vs 1.00±0.08, 1.45±0.03 vs 1.00±0.04, 1.43±0.04 vs 1.00±0.01, all P<0.05). Conclusions:A dECM-GelMA composite hydrogel can be prepared, which may promote hepatocyte proliferation by upregulating the phosphorylation of ERK1/2 and activating Wnt/β-catenin signaling pathway.

Objective: To understand the association of physical exercise willingness and insomnia with depressive symptoms among college students, so as to provide reference for improving depressive symptoms of college students. Methods: From October 2022 to April 2023, cluster sampling was used to recruit 11 101 college students from four colleges in Anhui Province. The questionnaire survey was conducted to investigate the willingness to engage in physical exercise, insomnia and depressive symptoms of college students. The multivariate Logistic regression model was used to analyze the association of physical exercise willingness and insomnia with depressive symptoms of college students. Results: The prevalence of depressive symptoms among college students was 9.24%. Multivariate Logistic regression analysis showed that college students who were passive participants/non participants in physical activity, or who experienced insomnia, had a higher likelihood of depressive symptoms compared to those who were active participants or did not experience insomnia ( OR =1.84, 2.07, 4.02, all P <0.01). College students who were passive participants or non participants in physical activity and concurrently experienced insomnia had a higher risk of depressive symptoms compared with those who were active participants or did not experience insomnia ( OR =1.87-8.39, all P <0.01). Gender stratified analysis showed that the combined effect of passive physical exercise and insomnia increased the risk of depressive symptoms in both male ( OR = 1.81 -9.87) and female college students ( OR =1.67-7.39) (all P <0.05). Conclusions Both physical exercise willingness and insomnia are associated with depressive symptoms in college students. In order to improve the depressive symptoms of college students, it is necessary to improve the enthusiasm of physical exercise and strengthen the education of sleep health awareness.