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.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

Abstract Kidney stones are common and frequently occurring diseases in urology. In recent years, the incidence of urinary stones has increased year by year, affecting people′s quality of life and aggravating the social and economic burden. The occurrence and development of kidney stones are closely related to metabolic factors. This review mainly conducts a systematic overview of the research on the relationship between electrolyte metabolism abnormalities, dyslipidemias and other metabolic disorder diseases and kidney stones in recent years.By exploring the relationship between various metabolic disorder diseases and kidney stones, this review provides reference for exploring the occurrence and development of kidney stones from the perspective of metabolism.

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 explore the factors associated with the efficacy of high-frequency repetitive transcranial magnetic stimulation (rTMS) in the treatment of neuropathic pain (NP) following spinal cord injury (SCI).Methods:This was a retrospective study of 89 SCI survivors with NP receiving high-frequency rTMS. Those with a ≥30% reduction in their Numeric Rating Scales (NRS) scores after 2 weeks of treatment were termed Responders ( n=36), with the others classified as non-responders ( n=53). Demographic data (gender, education level, age), SCI characteristics (injury etiology, injury severity, neurological injury level, injury duration), NP characteristics (pain type, pain intensity, analgesic use), functional assessment (Modified Ashworth Scale score, Spinal Cord Independence Measure score, Modified Barthel Index score, American Spinal Injury Association motor/sensory score) were collected. Least absolute shrinkage and selection operator (LASSO) regression was used for variable selection, followed by binary logistic regression to identify factors associated with treatment efficacy. Results:Among the 89 patients, 36 (40.4%) were Responders to high-frequency rTMS. Binary logistic regression revealed that those with a cervical spinal cord injury and/or spasticity and women were more likely to respond to high-frequency rTMS.Conclusions:Female gender, cervical spinal cord injury, and spasticity are independent factors predicting rTMS efficacy in treating SCI, with spasticity demonstrating the strongest association.

Endometriosis is a common estrogen-dependent disease in women of childbearing age,often leading to chronic pelvic pain,infertility,ovarian cancer,and other serious complications,and jeopardizing the health of women.The pathogenesis of endometriosis is complex and involves the alteration of multiple signaling pathways mediated by hormones,immunity,genetics,and the environment,and their interactions.Wnt/β-catenin signaling is involved in the regulation of embryonic development and tissue homeostasis,and it has recently been implicated in the pathogenesis of endometriosis via multiple pathways.This review considers the biological characteristics of the Wnt/β-catenin signaling pathway and summarizes the main mechanisms and signaling pathways involved in the pathogenesis of endometriosis,as well as the curr-ent research status of the regulation of this signaling pathway by traditional Chinese medicine for the treatment of endometriosis.We aim to clarify how the Wnt/β-catenin signaling pathway affects the development of endometriosis,and suggest that future studies should focus on exploring its potential role as an indicator for the clinical prediction and early diagnosis of endometriosis,thus providing theoretical support for the early diagnosis of this condition and the development of targeted drugs.

Brain MRI data is characterized by large volumes and susceptibility to noise and artifacts,which pose significant challenges of improving the speed and accuracy of brain tumor detection and analysis due to the tumors'diverse types,shapes,and boundaries that are both similar and highly variable.Therefore,a series of improvements based on YOLOv7 algorithm are proposed for enhancing detection precision and speed:(1)employing partial convolution during feature extraction to reduce the model's parameters and improve overall detection speed;(2)in light of the complex variability of brain tumors,introducing a three-dimensional spatial attention mechanism during feature extraction to enhance the model's focus on critical image features;(3)replacing the original IoU loss function with WIoU to increase the attention to medium-quality anchor boxes during bounding box regression for further improving detection accuracy.Experiments conducted on two public brain tumor datasets,Brain_Tumor and Glioma_of_test,show that the improved model achieves mAP of 96.9%and 92.8%,which are 1.4%and 2.4%higher than the original YOLOv7 model,and the frames per second reach 162.7 and 158.1,showing improvements of 6.4 and 18.2,respectively.These enhancements enable more effective detection of brain tumors in MRI images.

To investigate the role of the DPP4-nestin axis in liver fibrosis induced by alveolar cyst infection,a murine model was established using C57BL/6 mice via hepatic portal vein injection.Liver histopathological changes were assessed using HE staining,while immunohistochemistry and immunofluorescence were employed to evaluate the expression levels of nestin and DPP4 in infected mouse livers.In vitro,J S1 cell line was stimulated with recombinant DPP4 protein to es-tablish a cellular model,and qPCR,Western blot,and shRNA lentivirus interference techniques were utilized to examine the involvement of the DPP4-nestin axis in hepatic stellate cell activation.The findings demonstrated that compared to the Sham group,liver tissue structure disruption and collagen deposition were evident along with significantly increased expressions of nestin and DPP4(P＜0.050 0),which colocalized with nesin and α-SMA.Furthermore,stimulation with recombi-nant DPP4 protein significantly enhanced JS1 cell activation(P＜0.050 0)as well as upregulated nestin expression(P＜0.050 0)when compared to control group cells.Notably,shRNA lentivirus-mediated inhibition of nestin expression effectively suppressed the activating effects exerted by re-combinant DPP4 protein on JS1 cells(P＜0.050 0).Collectively,these results highlight the crucial regulatory role played by the DPP4-nestin axis in hepatic stellate cell activation triggered by alveo-lar infection;thus,targeting this axis may represent a novel therapeutic strategy for treating alveo-lar infection-induced liver fibrosis.

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 To investigate the electroencephalography(EEG)signal characteristics in patients with neuropathic pain(NP)associated with spinal cord injury(SCI).Methods A total of 90 patients with SCI from January,2018 to November,2023 were selected from the EEG database of the Department of Rehabilitation Medicine,Xijing Hospital,and divided into NP group(n=46)and non-NP group(n=44)according to their symptoms.The resting-state EEG power and reactivity to eye-opening were compared between two groups.Results Compared with non-NP group,EEG power increased in frontal lobe in α and β1 bands,central lobe in δ,θ,α1 and β1 bands,parietal lobe in α and β1 bands,temporal lobe in α and β1 bands,left occipital lobe in α2 band,and occipital lobe in α1 and β1 bands(|Z|>1.998,P<0.05)in NP group during eye-opening;during eye-closing,EEG power increased in prefrontal lobe in α1 and β1 bands,right frontal lobe in θ band,frontal lobe in α and β1 bands,left frontal lobe in β2 band,central lobe in δ,α1 and β1 bands,parietal lobe in α1 and β1 bands,left pari-etal lobe in α2 and β2 bands,right temporal lobe in θ band,temporal lobe in α and β bands,occipital lobe in α1 and β1 bands,and left occipital lobe in β2 band(|Z|>1.970,P<0.05);while the reactivity to eye-opening de-creased in right prefrontal lobe in β1 band,frontal lobe in θ,α and β bands,right central lobe in β1 band,parietal lobe in α1 and β1 bands,right parietal lobe in β2 band,right temporal lobe in δ and θ band,temporal lobe in α1 and β bands,left occipital lobe in α1 band,and occipital lobe in β1(|Z|>1.967,P<0.05).Conclusion Resting-state EEG power characteristically elevates in NP patients after SCI,and the reactivity to eye-open-ing reduces.