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.

Total knee arthroplasty(TKA)is mainly used for the treatment of advanced knee osteoarthritis.Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation.However,manual prosthesis recognition rely on doctors'experience,easily leading to misdiagnosis or missed diagnosis.Recent years,artificial intelligence(AI)had been integrated with medical imaging,represented by machine learning(ML)and its branch deep learning(DL),and displayed relatively powerful auxiliary functions in TKA.The research status and application progresses of AI combined with imaging in TKA were reviewed in this article.

Objective To observe the value of enhanced MRI"strawberry sign"for differentiating solitary predominantly cystic brain metastasis and glioma.Methods Thirty-four patients with solitary predominantly cystic(cystic proportion greater than 50％)brain metastasis(metastasis group)and 43 with solitary predominantly cystic glioma(glioma group)were retrospectively enrolled,and the value of"strawberry sign"showed on contrast enhanced T1WI(CE-T1WI)for differentiation was analyzed.Results The detection rate of"strawberry sign"in metastasis group was 44.12％(15/34),and the primary cancer was lung adenocarcinoma in 6 cases(6/15,40.00％),small cell lung cancer in 3 cases(3/15,20.00％),as well as lung squamous cell carcinoma,breast cancer,colon adenocarcinoma,endometrioid carcinoma,fallopian tube adenocarcinoma and rectal melanoma each in 1 case(1/15,6.67％).Meanwhile,the detection rate of"strawberry sign"in glioma group was 18.60％(8/43),and all were observed in WHO grade 4 gliomas.The detection rate of"strawberry sign"in metastasis group was higher than that in glioma group,which was not related to patients' gender(P=0.442).The sensitivity,specificity,accuracy,positive predictive value and negative predictive value of"strawberry sign"for differentiating solitary predominantly cystic brain metastasis and glioma was 44.12％,81.40％,64.94％,65.22％and 64.81％,respectively.Conclusion"Strawberry sign"showed on CE-T1WI was helpful for differentiating solitary predominantly cystic brain metastasis and glioma.

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 explore the resistance mechanism of tigecycline insensitivity of multidrug-resistant Acine-tobacter baumannii,and provide reference for clinical rational antimicrobial use as well as prevention and control of healthcare-associated infection.Methods 22 strains of tigecycline insensitive multidrug-resistant Acinetobacter bau-mannii(TIS-MDR-AB)and 22 strains of tigecycline sensitive multidrug-resistant Acinetobacter baumannii(TS-MDR-AB)isolated clinically from the First Affiliated Hospital of Guangzhou Medical University from April 2022 to May 2023 were collected.Efflux pump phenotype inhibition assay was performed using efflux pump inhibitor car-bonyl cyanide m-chlorophenylhydrazone(CCCP).The main efflux pump genes(adeB,adeG,adeJ),as well as tigecycline-resistant gene tet(X),were screened by polymerase chain reaction(PCR)technique,and their mRNA expression levels were detected by real-time fluorescence quantitative PCR.Mutations in the efflux pump regulatory gene adeRS were analyzed by Sanger sequencing analysis.Results The detection rates of efflux pump genes adeB,adeG and adeJ were all above 95％in two MDR-AB groups,and tet(X)gene was not detected.Efflux pump inhibi-tor assay showed that the minimum inhibitory concentration(MIC)of TIS-MDR-AB strains decreased after adding CCCP,3 strains showed positive efflux pump phenotype.The mRNA expression level of MDR-AB adeB in the TIS-MDR-AB group was higher than that in the TS-MDR-AB group(P＜0.01),while the expression of adeG and adeJ genes was no statistically different.Multiple mutations were found in the adeR and adeS genes,the adeS of 2 strains was inserted ISAba1,and 3 strains were inserted ISAba13.Conclusion The overexpression of adeABC in the efflux pump system may play an important role in the mechanism of reduced sensitivity of MDR-AB to tigecycline,and its overexpression may be related to the insertion sequence or mutation in the efflux pump regulatory gene adeRS.

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.

Objective This study aimed to investigate the efficacy of modified endoscopic autologous cartilage eustachian tube pharyngeal orifice tuboplasty(MEACETT)in patients with patulous eustachian tube(PET).Meth-ods A retrospective analysis was conducted on the clinical data of 27 patients(30 ears)diagnosed with PET who underwent MEACETT.Autologous cartilage was used through the incision at the posterior end of the inferior turbi-nate and filled into the lateral wall of the pharyngeal orifice of the eustachian tube.Without affecting the movement function of the eustachian tube during swallowing,the collapse of the pharyngeal orifice was fully filled.Before and after the surgery,the visual analogue scale(VAS),the eustachian tube dysfunction questionnaire-7(ETDQ-7)and hospital anxiety and depression scale(HADS)was used for assessment to evaluate the surgical efficacy.Results There was no significant difference in depression scores before and after surgery(P＞0.05).However,postopera-tive anxiety scores,ETDQ-7 scores,and VAS scores were significantly lower than preoperative scores(P＜0.05).Among the 27 patients,9 showed significant symptom relief,13 exhibited partial relief,and 5 had no significant change compared to preoperative symptoms.The overall response rate of the treatment(significant relief and partial relief)was 81.48％(22/27).All surgeries were successfully performed.Except for secretory otitis media occurring in 2 cases,no major complications were observed.Conclusion MEACETT demonstrates significant symptom relief in PET patients,with high surgical safety and low complication rates,making it worthy of clinical promotion.

Objective To evaluate the diagnostic efficacy of the R value in tubomanometry(TMM)for the di-agnosis of patulous eustachian tube(PET).Methods The clinical data of 58 patients with PET and 65 controls were retrospectively analyzed.TMM was performed on both groups under nasopharyngeal pressures of 30,40,and 50 mbar respectively.The diagnostic efficacy of the R value for PET was evaluated through receiver operating char-acteristic(ROC)curves.Results In the control group,the average R values under nasopharyngeal pressures of 30,40,and 50 mbar were 0.86±0.50,0.76±0.41,and 0.68±0.34 respectively.In contrast,the corresponding R values in the PET group were significantly lower,which were 0.56±0.38,0.50±0.36,and 0.46±0.38 respec-tively.According to the ROC curve analysis,the areas under the curve(AUC)at these pressures were 0.62,0.74,and 0.74 respectively.The specificity and sensitivity of the R value under nasopharyngeal pressures of 30,40,and 50 mbar were 76.90％and 54.30％,74.60％and 68.10％,86.90％and 54.30％,respectively.Under pressures of 30,40,and 50 mbar,the incidence rates of R＞1 in the control group and the PET group were 29.23％(38/130)and 12.77％(12/94)(x2=8.69,P=0.003),20.00％(26/130)and 6.38％(6/94)(x2=7.20,P=0.007),10.00％(13/130)and 3.19％(3/94)(x2=2.87,P=0.09)respectively.Conclusion Although the low R value in TMM reflects the presence of PET to some extent,it does not provide adequate sensitivity and specificity to serve as an independent diagnostic criterion for PET.

Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.

Homeostasis and energy and substance metabolism reprogramming shape various tumor microenvironment to sustain cancer stemness, self-plasticity and treatment resistance. Aiming at them, a lipid-based pharmaceutical loaded with CaO₂ and glucose oxidase (GOx) (LipoCaO₂/GOx, LCG) has been obtained to disrupt calcium homeostasis and interfere with glycometabolism. The loaded GOx can decompose glucose into H₂O₂ and gluconic acid, thus competing with anaerobic glycolysis to hamper lactic acid (LA) secretion. The obtained gluconic acid further deprives CaO₂ to produce H₂O₂ and release Ca²⁺, disrupting Ca²⁺ homeostasis, which synergizes with GOx-mediated glycometabolism interference to deplete glutathione (GSH) and yield reactive oxygen species (ROS). Systematical experiments reveal that these sequential multifaceted events unlocked by Ca²⁺ homeostasis disruption and glycometabolism interference, ROS production and LA inhibition, successfully enhance cancer immunogenic deaths of breast cancer cells, hamper regulatory T cells (Tregs) infiltration and promote CD8⁺ T recruitment, which receives a considerably-inhibited outcome against breast cancer progression. Collectively, this calcium homeostasis disruption glycometabolism interference strategy effectively combines ion interference therapy with starvation therapy to eventually evoke an effective anti-tumor immune environment, which represents in the field of biomedical research.