The management of non-small cell lung cancer is rapidly advancing toward precision and individualized care. The National Comprehensive Cancer Network (NCCN) has recently released the 2026 version 1, 2, and 3 updates of the NCCN Clinical Practice Guidelines in Oncology: Non-Small Cell Lung Cancer. These updated guidelines introduce significant revisions in several core areas, including the adoption of the AJCC 9th Edition TNM Staging System, optimization of recommendations for lung cancer screening and mediastinal staging, updates on perioperative immunotherapy and targeted therapy strategies, and the inclusion of emerging biomarkers such as neuregulin 1 (NRG1) fusions and mesenchymal-epithelial transition factor (MET) protein overexpression. This article provides a systematic interpretation of these key updates and focuses on integrating international guidelines with clinical practice in China. Specifically, considering the high prevalence of epidermal growth factor receptor (EGFR) mutations in the Chinese population, it analyzes the first-line positioning of osimertinib- and lazertinib-based combination regimens and evaluates the clinical value of domestic third-generation tyrosine kinase inhibitors. In response to the NCCN's cautious stance on “conversion therapy” for initially unresectable disease, the article elaborates on China’s exploratory efforts and the evolving evidence base for conversion strategies utilizing programmed death receptor 1 (PD-1) inhibitors (e.g., tislelizumab, toripalimab). Furthermore, it clarifies the “dual-track” diagnostic approach distinguishing MET pathway mutations from protein overexpression. Aimed at aligning with China’s clinical context, this review seeks to offer clinicians a practical reference that synthesizes cutting-edge international perspectives with local applicability.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

Objective To summarize the common traditional Chinese medicine(TCM)syndrome types and syndrome characteristics of depressive disorder(DD)by analyzing the existing clinical research literature,and to provide a basis for TCM syndrome classification and research on DD.Methods The documents related to TCM syndrome classification of DD were retrieved systematically from China National Knowledge Infrastructure(CNKI),China Biology Medicine Literature Service System(SinoMed),China Science and Technology Journal Database(VIP)and China Academic Journals Full-text Database(WanFang).The literature was organized and analyzed,and Gephi software was used to do the visual analysis.Results A total of 262 literature that met the criteria were included in the study.The annual average number of publications exceeds 10 articles since 2010.The top 5 syndrome types in TCM were Liver Qi Stagnation(LQS)type,Liver Stagnation and Spleen Deficiency(LSSD)type,Heart and Spleen Deficiency(HSD)type,Liver Stagnation and Phlegm Obstruction type and Liver Stagnation and Kidney Deficiency type,viscera syndrome classification mainly involved Liver,Spleen,Heart,Kidney and Gallbladder.The main syndrome type based on deficiency-excess syndrome classification was excess type.The strongest correlation of excess type was LQS,the strongest correlation of deficiency types was HSD,and the strongest correlation of deficiency and excess mixed syndrome type was LSSD.Conclusion The publication volume of literature related to TCM syndrome types of DD shows a fluctuating upward trend.The occurrence and development of DD are related to dysfunction of multiple organs,and liver stagnation is the core syndrome,which may run through the entire process of DD.

The prefrontal cortex and hippocampus may support sequential working memory beyond episodic memory and spatial navigation. This stereoelectroencephalography (SEEG) study investigated how the dorsolateral prefrontal cortex (DLPFC) interacts with the hippocampus in the online processing of sequential information. Twenty patients with epilepsy (eight women, age 27.6 ± 8.2 years) completed a line ordering task with SEEG recordings over the DLPFC and the hippocampus. Participants showed longer thinking times and more recall errors when asked to arrange random lines clockwise (random trials) than to maintain ordered lines (ordered trials) before recalling the orientation of a particular line. First, the ordering-related increase in thinking time and recall error was associated with a transient theta power increase in the hippocampus and a sustained theta power increase in the DLPFC (3-10 Hz). In particular, the hippocampal theta power increase correlated with the memory precision of line orientation. Second, theta phase coherences between the DLPFC and hippocampus were enhanced for ordering, especially for more precisely memorized lines. Third, the theta band DLPFC → hippocampus influence was selectively enhanced for ordering, especially for more precisely memorized lines. This study suggests that theta oscillations may support DLPFC-hippocampal interactions in the online processing of sequential information.
Adult ; Female ; Humans ; Young Adult ; Epilepsy ; Hippocampus ; Memory, Short-Term ; Mental Recall ; Prefrontal Cortex ; Theta Rhythm ; Male

ObjectiveTo assess the quality of randomized controlled trials （RCTs） of compound traditional Chinese medicine （TCM） prescriptions in the treatment of nonalcoholic steatohepatitis （NASH）， and to provide recommendations for standardizing the design and reporting of RCTs in this field. MethodsDatabases such as PubMed， Web of Science， Embase， the Cochrane Library， CNKI， VIP， and Wanfang Data were searched for RCTs of compound TCM prescriptions in the treatment of NASH published from January 1， 2018 to December 31， 2023， and the articles were screened and assessed based on the Cochrane risk-of-bias assessment tool （RoB 2）， the unified standard for clinical trial reporting （CONSORT 2010）， and CONSORT-CHM Formulas 2017 for compound TCM prescriptions. ResultsA total of 45 articles were finally included， and most of these studies were rated as high-risk bias by RoB 2.0. The analysis based on the CONSORT control checklist showed a relatively low reporting rate for most of the key items regarding the quality of RCT studies. ConclusionA relatively large risk of bias is observed in the clinical studies on compound TCM prescriptions in the treatment of NASH published in the past six years， which may lead to the poor quality of reporting and evidence. It is suggested that the top-level design of clinical studies should be taken seriously in addition to investigating the advantages of TCM， so as to improve the quality of clinical studies.

The International Association for the Study of Lung Cancer (IASLC) recently introduced the ninth edition of the TNM classification for lung cancer. This milestone is supported by a comprehensive database comprising 124 581 lung cancer patients from 75 centers across 25 nations between 2011 and 2019. Following the exclusion of incomplete data, the analysis focused on 87 043 patients. These insights guided the modifications in the ninth edition of the TNM classification for lung cancer. The updated classification now includes a higher representation of Asian patients, particularly showing significant growth among Chinese patients. This revised classification will offer more pertinent benchmarks for the diagnosis and prognostic assessment of lung cancer. This article delves into the database updates, stage adjustments, and rationale behind the IASLC ninth edition of the TNM classification for lung cancer.

Yeast autolysis affects the flavor and quality of beer. The regulation of yeast autolysis is a need for industrial beer production. Previous studies on brewer's yeast autolysis showed that the citric acid cycle-related genes had a great influence on yeast autolysis. To explore the contribution of isocitrate dehydrogenase genes in autolysis, the IDP1 and IDP2 genes were destroyed or overexpressed in typical lager yeast Pilsner. The destruction of IDP1 gene improved the anti-autolytic ability of yeast, and the anti-autolytic index after 96 h autolysis was 8.40, 1.5 times higher than that of the original strain. The destruction of IDP1 gene increased the supply of nicotinamide adenine dinucleotide phosphate (NADPH) and the NADPH/NADP⁺ ratio was 1.94. After fermentation, intracellular ATP level was 1.8 times higher than that of the original strain, while reactive oxygen species (ROS) was reduced by 10%. The destruction of IDP2 gene resulted in rapid autolysis and a decrease in the supply of NADPH. Anti-autolytic index after 96 h autolysis was 4.03 and the NADPH/NADP⁺ ratio was 0.89. After fermentation, intracellular ATP level was reduced by 8% compared with original strain, ROS was 1.3 times higher than that of the original strain. The results may help understand the regulation mechanism of citric acid cycle-related genes on yeast autolysis and provide a basis for the selection of excellent yeast with controllable anti-autolytic performance.
Humans ; Isocitrate Dehydrogenase/genetics* ; NADP ; Reactive Oxygen Species ; Autolysis ; Adenosine Triphosphate

Objective:To explore clinical features, diagnosis, localization, and therapeutic strategy of migratory pharyngeal and cervical esophageal foreign bodies.Methods:A total 23 cases of pharyngeal and cervical esophageal migratory foreign bodies were admitted between January 2015 and December 2021. There were 14 females and 9 males with the age ranged from 35 to 82 (55.0±12.7)years. In all the cases, esophageal CT was taken to confirm the esophageal foreign body. Multiplanar reconstruction (MPR) was performed to locate the foreign body from the horizontal, coronal and sagittal dimensions as well as the corrected reconstructed MPR. According to the location of the foreign body, appropriate surgical method was selected.The symptoms, complications, types of foreign body, positioning, surgical methods, and relevant information were recorded.Data were analyzed using the descriptive method and SPSS 25.0 software.Results:The clinical symptoms of 23 migrating esophageal foreign bodies included pharyngodynia (20/23), foreign body sensation (6/23), hoarsenss (1/23), difficulty in turning neck(1/23), difficulty in opening mouth (1/23), fever (7/23), poor appetite (1/23), and abdominal pain (1/23). The foreign bodies included 19 fish bones, 2 wires, 1 embroidery needle and 1 chicken bone. There were 9 cases (39.1%) of foreign bodies located in extraluminal cervical esophagus, 2 cases (8.7%) of foreign bodies located in the muscular layer of the cervical esophagus and 12 cases (52.2%) of foreign bodies located in pharynx. Twenty-one cases of foreign bodies were removed by cervical lateral incision, in which 11 were removed by cervical lateral incision directly, 10 by the second lateral cervical incision after the foreign bodies were accurately located by MPR and/or corrected MPR, 1 foreign body was removed by incision of the pharyngeal mucosa under suspension laryngoscope, 1 foreign body was removed by tracheoscopy. Compared with patients with intraluminal foreign bodies ( n=308) treated in the same period, intake of fishbone [19 (19/23) vs. 133 (82.6% (43.2%, 133/308), OR=7.31] and first visit was more than 24 hours [20(87.0%, 20/23) vs. 77(25.0%, 77/308), OR=17.2] were the significant risk factors of migratory esophageal foreign bodies. Conclusions:MPR and the corrected MPR can accurately locate the migrating pharyngeal and cervical esophageal foreign bodies, by providing more intuitive imaging evidence for doctors, which provide imaging basis for formulation of surgical programs. Foreign bodies in pharyngeal and cervical esophagus need to be treated as soon as possible, otherwise they are easy to migrate, leading lead to serious complications.