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.

Effective symptom management can alleviate the physical and psychological distress experienced by patients with cancer, improve quality of life, and contribute to treatment adherence and improve clinical outcomes. However, most existing guidelines are developed for healthcare professionals, and patients and the public have limited access to standardized and comprehensible guidance on symptom management. To address this gap and to facilitate effective communication and shared decision-making, this study proposes the development of a patient version of the cancer symptom management guideline. The development process will adhere to the methodological framework recommended by the Guidelines International Network and the World Health Organization. The GRADE approach will be employed to assess the certainty of evidence and to formulate recommendations. In addition, the process will be informed by the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) instrument and the Reporting Items for Practice Guidelines in Healthcare-Public or Patient Versions of Guidelines (RIGHT-PVG). This protocol outlines the establishment of the guideline working group, the identification and prioritization of key questions, evidence retrieval and appraisal, and the formulation of recommendations, with the aim of ensuring methodological rigor and transparency in the development of the patient guideline and providing methodological reference for similar guideline initiatives.

To address the constrains imposed by insufficient hydrogen peroxide (H2O2) and high glutathione (GSH) expression in tumor cells on the efficacy of chemodynamic therapy (CDT), zeolitic imidazolate framework-8 (ZIF-8) loaded with disulfiram (DSF) and 3-amino-1,2,4-triazole (3-AT) was synthesized via a one-pot approach. Subsequently, hyaluronic acid (HA)-modified cupric peroxide (CuO2) was in-situ grown on its surface through biomineralization to construct a multifunctional copper-based nanozyme ADZCH (3-AT/DSF@ZIF-8@CuO2-HA). This nanoplatform disrupts the intratumoral H2O2 homeostasis, depletes GSH, and synchronously delivers DSF and Cu2+ via cascade catalysis, thereby enhancing CDT and sensitizing tumors to DSF-based chemotherapy. The results of physicochemical characterization indicated that ADZCH presented a uniform core-shell structure with favorable dispersibility. Its particle size and Zeta potential were 196.5 nm and −19.5 mV, respectively. It possessed a microporous structure with a specific surface area of 81.8600 m2/g, and demonstrated efficient loading capacity for DSF and 3-AT, achieving drug loading efficiencies of 5.91% and 45.07%, respectively. Moreover, ADZCH can continuously and slowly release drugs in an acidic environment and maintain good stability under diverse physiological conditions. In vitro functional assays verified that ADZCH catalytically generated H2O2 and hydroxyl radicals while concurrently depleting GSH in a concentration- and incubation time-dependent manner. Cellular uptake experiments showed that HA modification significantly improved the uptake of nanoparticles by 4T1 cells. Cytotoxicity tests showed that 80 μg/mL ADZCH had a significant cytotoxic effect on 4T1 cells but no significant toxicity on L929 cells. DCFH-DA probe detection indicated that ADZCH could significantly induce intracellular reactive oxygen species (ROS) generation, thereby enhancing CDT efficacy. Live/dead staining experiments showed that ADZCH efficiently induced apoptosis, with the proportion of dead cells reaching 94.74%, demonstrating its promising potential for anti-tumor applications.This study provides new research ideas and experimental basis for overcoming the tumor microenvironment barrier and enhancing the anti-tumor effect of CDT combined with chemotherapy.

Objective To summarize 20 years' clinical experience of urethroplasty with pedicled tunica vaginalis grafts in the treatment of long-segment anterior urethral stricture (＞2 cm) caused by male genital lichen sclerosus (GLSc). Methods A retrospective study was conducted on the clinical data of 90 patients undergoing urethroplasty with pedicled tunica vaginalis grafts in our hospital. Patients were divided into three groups according to the length of stricture: 4-7 cm (n=25), ＞7-10 cm (n=44), and＞10 cm (n=21). The surgical conditions, changes in preoperative and postoperative maximum urinary flow rate (Qmax), and improvements in the international index of erectile function (IIEF-5) scores were compared among the three groups. Results During the follow-up of 6-48 (average 22.0±2.7) months, 88 patients exhibited unimpeded urination, with a success rate of 97.8%. Retrograde urethrography showed the urethral lumen was well-dilated, the penis was not deformed or strictured, and the sexual intercourse was normal. The Qmax of the three groups was significantly improved 2, 6 and 12 months postoperatively (P＜0.01), but with no statistically significant differences among the three groups (P＞0.05). Similarly, the IIEF-5 scores showed no statistically significant differences among or within the groups (P＞0.05). No serious complications occurred after operation. Urethral stricture occurred in 2 cases after operation, one of which had smooth urination after holmium laser urethrotomy, and the other achieved urination after anterior urethral incision. Conclusion Urethroplasty with pedicled tunica vaginalis grafts is suitable for the treatment of long-segment anterior urethral stricture caused by GLSc. It has the advantages of high surgical success rate, convenient graft harvesting, simple operation, few trauma and few complications. This surgical approach is recommended for primary hospitals.

Although global brain science research has progressed rapidly in recent decades, several fundamental questions in neuroscience remain unresolved. In particular, the physical mechanism underlying neural signal transmission remains controversial, and the carriers responsible for neural information storage and retrieval have not yet been fully clarified. These unresolved issues motivate us to re-examine the processes of neural information generation, transmission, integration, storage, and retrieval from multiple perspectives. A key observation is that neural electromagnetic activities are closely associated with time. Their duration, temporal structure, and dynamic evolution play crucial roles in neural information processing. In this work, we analyze neural electromagnetic activities from the perspective of temporal scales (referred to here as the “time course”). By reviewing and integrating findings from previous studies, we examine the characteristic time requirements and dynamic features of neural processes occurring at different stages of information processing. These stages include neural signal generation, signal transmission along axons, synaptic integration, synaptic plasticity, and memory formation and retrieval. Based on this temporal analysis, we outline a framework describing neural electromagnetic activities across a wide range of time scales, spanning from microseconds to minutes, hours, or even longer periods associated with long-term memory, which suggests that neural information processing involves multiple physical processes operating at different time levels. Rapid electromagnetic events may occur on microsecond scales, whereas electrophysiological phenomena such as action potentials typically last on the order of milliseconds. Longer time scales are associated with synaptic plasticity and memory-related processes. From this perspective, we propose that the physical carrier of neural information may be transient electromagnetic pulses with durations on the microsecond scale. In this framework, action potentials can be interpreted as the macroscopic electrophysiological manifestation of underlying electromagnetic processes triggered by ionic currents across neuronal membranes. Rather than being the fundamental neural signal itself, the action potential may represent a measurable membrane-level response associated with the successful activation of these electromagnetic events. Moreover, we discuss a possible mechanism for long-term memory storage. Considering the apparent temporal contradiction between the millisecond-scale excitation of neurons and the long-term persistence of memories, we believe that long-term memory information may be stored within neural network topologies formed by electrical synapse coupling. Such structures, referred to as electrically coupled memory networks (ECMNs), may enable neurons within the same network to respond rapidly and synchronously to stimuli, thereby facilitating efficient memory retrieval. Overall, this study emphasizes the importance of considering the temporal organization of neural electromagnetic activities when interpreting neural signaling mechanisms. It may provide new insights into the physical nature of neural information carriers and the mechanisms of memory storage and retrieval. Furthermore, highlighting the potential role of electromagnetic interactions in neural activity may contribute to the development of new theoretical frameworks and experimental approaches in neuroscience. Such perspectives may also offer valuable references for future research on neural coding, brain function mechanisms, and neuromodulation technologies.

OBJECTIVE To evaluate the characteristics of adverse drug event （ADE） associated with five therapeutic agents for Gaucher disease（imiglucerase， velaglucerase alfa， taliglucerase alfa， eliglustat，and miglustat）. METHODS ADE reports related to the above five drugs were retrieved from the FDA Adverse Event Reporting System （FAERS） database from January 2004 to September 2025. The reporting odds ratio （ROR） and proportional reporting ratio （PRR） methods were applied for data mining. system organ class （SOC） and preferred term （PT） from the Medical Dictionary for Regulatory Activities （MedDRA， version 26.0） drug ADE terminology were used for classification and statistical analysis of ADE. RESULTS A total of 4 329， 1 740， 500， 1 329 and 998 ADE reports were retrieved for the aforementioned five drugs， respectively， generating 4 612， 2 605， 776， 1 157 and 2 185 ADE signals. These signals involved 26 SOC， affecting 25， 26， 16， 19， and 19 SOC， respectively. The predominant SOCs were various injuries， poisoning and procedural complications， as well as infections and infestations. The top one PTs of each drug were as follows： bone infarction， zinc deficiency， failure to perform drug monitoring steps， ichthyosis， abnormal nerve conduction examination. New suspected PTs included weight gain and spontaneous abortion for imiglucerase and velaglucerase alfa， weight gain for taliglucerase alfa and eliglustat， and neuropsychiatric manifestations such as dementia and apathy for miglustat. In terms of severe ADEs， other serious medical events were predominant for imiglucerase and taliglucerase alfa； prolonged hospital stays were the main severe ADE for velaglucerase alfa and eliglustat； and death was the leading severe ADE for miglustat. CONCLUSIONS In clinical medication， apart from common ADE，for imiglucerase， clinicians should be alert to bone infarction， weight gain and spontaneous abortion， and strengthen monitoring related to bones， metabolism and pregnancy. For velaglucerase alfa， attention should be paid to zinc deficiency， bone infarction， weight gain and spontaneous abortion， with focused monitoring of nutritional status and pregnancy risks. For taliglucerase alfa， failure to perform drug monitoring steps and weight gain require vigilance， and medication procedures should be standardized along with regular weight monitoring. For eliglustat， clinicians need to watch out for ichthyosis and weight gain and pay close attention to skin conditions. For miglustat， bone infarction， abnormal nerve conduction examination and dementia should be closely monitored， with enhanced surveillance on nervous system function， infections and prognosis of critically ill patients，to ensure patient medication safety.

This article reports a case of a male patient， aged 60 years， who developed pyrrolizidine alkaloid-induced hepatic sinusoidal obstruction syndrome （PA-HSOS） due to ingestion of Gynura segetum （Lour.） Merr. The patient presented with ascites and abnormal liver function， and a confirmed diagnosis was made based on radiological examination and liver biopsy. Since the patient was allergic to low-molecular-weight heparin and had no response to supportive therapy， low-dose defibrotide was administered as rescue treatment. After treatment， the patient achieved rapid regression of ascites and recovery of liver function， and liver biopsy reexamination showed alleviation of sinusoidal congestion and hepatocyte regeneration. Self-resolving conjunctival hemorrhage occurred during treatment. This case suggests that for patients with contraindications to standard anticoagulation therapy or those showing no response to such treatment， low-dose defibrotide may be used as an effective and relatively safe alternative treatment regimen.

Objective: To explore the impact of different blood donation scenarios on population characteristics and blood donation behaviors, and to provide a basis for precise blood donation recruitment. Methods: Eligible voluntary blood donors with complete records from four scenarios in Xi'an: medical institutions, cultural tourism SITES, commercial superstores, and blood centers. After a preliminary analysis of overall donor characteristics across the four scenarios, three core subgroups were defined based on scenarios and donor population differences: the medical subgroup (aged 30-39 years), the blood center subgroup (aged 30-39 years), and the cultural tourism and commercial superstore subgroup (aged 18-29 years). Baseline characteristics, blood donation behaviors, and blood test results were compared among the subgroups. Results: The blood donors in all four scenarios were mainly male, but the proportion of female donors in the medical scenario was the highest (26.4%, 8 878/33 634). In terms of age distribution, the cultural tourism and commercial superstore scenarios were dominated by donors aged 18-29, while the blood center and medical scenarios were dominated by those aged 30-39, with the highest proportion of donors over 40 in the medical scenario. The occupational and educational composition of blood donors in the blood center scenario spanned a wide range, exhibiting a clear bipolar distribution. Significant differences were observed in baseline characteristics, blood donation behaviors, and blood test results among the three core subgroups (P<0.001). The medical subgroup was mainly composed of enterprise/industrial workers and married individuals, with high proportions of first-time blood donors, and the highest unqualified rate of infectious indicators (2.0%, 274/13 509). The cultural tourism and commercial superstore subgroup was mainly unmarried and students, featured high proportions of large-volume donations and evening donations, and had a relatively high unqualified rate for ALT (0.4%, 130/31 443). The blood center subgroup had a complex population structure, a high proportion of repeat blood donors (45.3%, 6449/14 225), and moderate results in all test indicators. Conclusion: There is an inherent correlation between the attributes of blood donation scenarios, population characteristics, and blood donation behaviors. The differences among the three core subgroups provide a clear basis for precise scenario operation. By constructing transformation channels between different scenarios and optimizing scenario-specific strategies, the structure of blood donors can be improved, thereby supporting the sustainable development of voluntary blood donation.

This article systematically reviews and verifies the name， origin， production area， quality evaluation， harvesting， processing and other aspects of Cynanchi Atrati Radix et Rhizoma（CARR） by consulting relevant ancient and modern literature， in order to provide a basis for the development and utilization of famous classical formulas containing this herb. Through textual research， Baiwei has been the official name for CARR， though it also bears alternative names such as Chuncao， Popo Zhenxianbao， Longdan Baiwei. The mainstream base is the roots and rhizomes of Cynanchum atratum. Historical records indicate primary producing areas include Shandong， Anhui， Jiangsu， Shaanxi and Shanxi. Since the late Ming dynasty， varieties from Juxian， Yishui and Rizhao in Shandong have been highly regarded as authentic， commonly known as eastern Baiwei. Since modern times， its quality has been summarized as fine， slender， and straight fibrous roots， pale yellow exterior， whiter interior， and dryness with easy breakability are considered superior. The harvesting time before the Song dynasty was on the third day of the third lunar month， but after the Song dynasty， harvesting was possible in both spring and autumn. The initial processing methods of CARR in ancient times included drying in the shade， removing Lu（the little rhizomes which are on tap of roots）， and removing mustaches， modern methods involve washing and sun-drying. During the Northern and Southern dynasties， processing methods included steaming. In the Song dynasty， drying and light stir-frying were predominant， while wine washing emerged in the Ming dynasty. Modern practices primarily involve using raw， stir-frying or honey processing. Regarding the medicinal properties of CARR， both ancient and modern texts agree it has a bitter and salty taste and is non-toxic. Records prior to the Qing dynasty predominantly describe its nature as extremely cold， while mainstream herbal texts after the Qing dynasty generally characterize it as cold. Before the Ming dynasty， there were no records of its meridian tropism. It was not until the Qing dynasty that it was recorded in the lung meridian. Modern records mainly refer to the stomach， liver， and kidney meridians. Throughout history， its main functions have been to clear heat， diuresis， nourish Yin， and replenish essence， primarily treating Yin deficiency and fever syndrome. Based on the research results， it is suggested that when developing famous classical formulas containing CARR， the dried roots and rhizomes of C. atratum can be selected as its medicinal source. If there are no specific processing requirements， raw products can be selected as medicine. If the processing requirements are specified， corresponding processed products can be selected as medicine according to the original formula requirements.

ObjectiveTo identify potential influencing factors of urate crystal deposition at ankle/foot in patients with hyperuricemia （HUA）， and to analyze the predictive value of inflammatory indicators for urate crystal deposition in patients with different traditional Chinese medicine （TCM） syndromes， so as to provide potential reference for clinical risk assessment and individualized TCM intervention. MethodsA retrospective study was carried out with the enrollment of 231 HUA patients from The Third Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine between January 2021 and December 2024. The enrolled patients were further divided into a crystal deposition-positive group （143 cases） and a crystal deposition-negative group （88 cases） according to the results of dual-energy computed tomography （CT）. Sociodemographic data， living habits， serum uric acid levels， and inflammatory indicators of the enrolled patients were collcted， and TCM syndrome differentiation was performed. Furthermore， univariate analysis was used to compare inter-group differences in clinical characteristics. MMultivariate Logistic regression was applied to identify the influencing factors of urate crystal deposition. In addition， the receiver operating characteristic （ROC） curves were plotted to evaluate the predictive efficacy of inflammatory indicators for crystal deposition across different TCM syndromes. ResultsThere were statistically significant inter-group differences in the proportion of males， age， body mass index， proportion of mental labor， rate of low water intake， and rate of high-sugar beverage consumption （P<0.05），whereas no significant difference in low exercise intensity was found between the two groups. Furthermore， compared with the negative group， the positive group had higher serum uric acid level， neutrophil-to-lymphocyte ratio （NLR）， and platelet-to-lymphocyte ratio （PLR）， but lower systemic immune-inflammation index （SIRI） （P<0.05）. Regarding the distribution of TCM syndromes， the positive group was dominated by the dampness-heat accumulation syndrome （55/143，38.46%）， while the negative group was mainly characterized by the phlegm-turbidity obstruction syndrome （44/88，50.00%）. Multivariate Logistic regression analysis revealed that high-sugar beverage consumption， elevated NLR， and elevated PLR were risk factors for urate crystal deposition ［odd ratio （OR） = 8.002， 5.377， 1.034， respectively； 95% CI 1.572-40.732， 2.179-13.270， 1.013-1.054，all P<0.05］， while SIRI was a protective factor （OR = 0.869， 95% CI 0.778-0.971， P<0.05）. In the positive group， patients with the dampness-heat accumulation syndrome exhibited the highest NLR， while the lowest PLR and SIRI， showing statistically significant differences with those of other syndromes （all P<0.05）. In addition， ROC curve analysis indicated that for the dampness-heat accumulation syndrome， the combined "NLR + PLR" model had an area under the curve （AUC） of 0.901 （95% CI 0.850-0.951， P<0.01）， with a sensitivity of 89.1% and a specificity of 79.5%； for the blood stasis-heat obstruction syndrome， the combined "NLR + PLR" model had an AUC of 0.880 （95% CI 0.825-0.934， P<0.01）， with a sensitivity of 100.0% and a specificity of 67.3%； for the liver-kidney Yin-deficiency syndrome， the single PLR model had an AUC of 0.842 （95% CI 0.731-0.952， P<0.01）， with a sensitivity of 83.3% and a specificity of 84.0%. ConclusionUrate crystal deposition in HUA patients exhibits intimate associations with high-sugar beverage consumption as well as elevated NLR and PLR levels. Meanwhile， TCM syndrome differentiation has potential correlation with inflammatory characteristics. The inflammatory indicator-based prediction model constructed based on TCM syndromes exhibits good predictive value.