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.

Objective To observe the correlation between cortical thickness and pathological deposition of β-amyloid(Aβ)in patients with Alzheimer disease(AD)induced mild cognitive impairment(MCI)or dementia.Methods Totally 22 AD patients were prospectively enrolled and divided into dementia group(n=12)and MCI group(n=10)based on the degree of cognitive impairment,while 17 healthy individuals without cognitive impairment were recruited as control group.MR examination and 18F-florbutaben(18F-FBB)PET imaging were performed,the cortical thickness and Aβ deposition value(Centiloid[CL]value)were calculated and compared among 3 groups and between each 2 groups,then the correlation between the above two indexes was analyzed.Results The cortical thickness in dementia group,MCI group and control group was(2.18±0.14),(2.35±0.08)and(2.36±0.09)mm,respectively,with significant difference among 3 groups(P＜0.05).The cortical thickness in dementia group was significantly thinner than that in MCI group and control group(both P＜0.05).CL value in dementia group,MCI group and control group was 77.97(63.07,95.55),65.51(54.54,90.50)and-1.17(-9.66,4.88),respectively,with significant difference among 3 groups(P＜0.05).CL value in dementia group and MCI group were significantly higher than in control group(both P＜0.05).The cortical thickness was moderately negatively correlated with CL value in MCI group(r=-0.580,P=0.048)but not in the other 2 groups(both P＞0.05).Conclusion The cortical thickness was moderately negatively correlated with abnormal deposition of Aβ in patients with AD induced MCI,but was not during dementia.

The epidemiological and spatiotemporal clustering characteristics of dengue fever in Fujian Province were ana-lyzed,to provide a scientific basis for dengue fever prevention and control.Descriptive epidemiology,spatial autocorrelation a-nalysis,and spatiotemporal scanning were used to analyze dengue fever cases in Fujian Province from 2011 to 2023.In this peri-od,a total of 3 586 cases of dengue fever were reported in Fujian Province,including 2 360 local cases,1 134 imported cases from abroad,and 92 imported cases from China.Cases were reported in ten prefectures and cities of the province,and 81 out of 88 counties reported cases.Imported cases were reported throughout the year in Fujian Province,but the occurrence of local ca-ses showed clear seasonality.Local cases and domestic imports were concentrated in August to October,whereas overseas im-ports occurred primarily from June to October.The imported cases were mainly from Southeast Asian countries,but a trend of spreading from Southeast Asian countries to South Asia,Africa,the Americas,and other regions,was observed.Spatio-tem-poral clustering of dengue fever was found in Fujian Province(Moran's I value 0.14-0.66,P＜0.05),and the high-high ag-gregation areas were distributed primarily in Fuzhou,Quanzhou,and Putian.Spatio-temporal scanning detected three aggrega-tion areas:one main and two secondary.The aggregation time was from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.The distribution of dengue fever in Fujian Province showed clear spatial and temporal clustering from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.For high concentration areas,national health campaigns,mosquito prevention and control,epidemic surveillance,medical personnel training,and other relevant measures could be carried out in advance before local cases appear every year.Reduce local transmission of dengue fever due to importation.

Objective To observe the correlation between cortical thickness and pathological deposition of β-amyloid(Aβ)in patients with Alzheimer disease(AD)induced mild cognitive impairment(MCI)or dementia.Methods Totally 22 AD patients were prospectively enrolled and divided into dementia group(n=12)and MCI group(n=10)based on the degree of cognitive impairment,while 17 healthy individuals without cognitive impairment were recruited as control group.MR examination and 18F-florbutaben(18F-FBB)PET imaging were performed,the cortical thickness and Aβ deposition value(Centiloid[CL]value)were calculated and compared among 3 groups and between each 2 groups,then the correlation between the above two indexes was analyzed.Results The cortical thickness in dementia group,MCI group and control group was(2.18±0.14),(2.35±0.08)and(2.36±0.09)mm,respectively,with significant difference among 3 groups(P＜0.05).The cortical thickness in dementia group was significantly thinner than that in MCI group and control group(both P＜0.05).CL value in dementia group,MCI group and control group was 77.97(63.07,95.55),65.51(54.54,90.50)and-1.17(-9.66,4.88),respectively,with significant difference among 3 groups(P＜0.05).CL value in dementia group and MCI group were significantly higher than in control group(both P＜0.05).The cortical thickness was moderately negatively correlated with CL value in MCI group(r=-0.580,P=0.048)but not in the other 2 groups(both P＞0.05).Conclusion The cortical thickness was moderately negatively correlated with abnormal deposition of Aβ in patients with AD induced MCI,but was not during dementia.

Objective:To explore the healing effects of internal heat needle and electroacupuncture on post-stroke shoulder pain and their impacts on serum interleukin-6 (IL-6), interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α).Methods:From January 2023 to March 2025, 94 patients with post-stroke shoulder pain admitted to the Affiliated Hospital of Hangzhou Normal University were included and separated into two groups according to a random number table. The 47 cases in the electroacupuncture group adopted electroacupuncture, while 47 cases in the internal heat needle group adopted internal heat needle. The pre- and post-treatment limb function, quality of life, healing effect, visual analogue scale (VAS), and serum IL-6, IL-1β, and TNF-α were compared.Results:After treatment, the Constant-Murley Shoulder Scale (CMS) score, shoulder range of motion (flexion, outward rotation, extension), Fugl-Meyer Assessment-Upper Extremity (FMA-UE) score, and Modified Barthel Index (MBI) in the internal heat acupuncture group were all better than those in the electroacupuncture group:(63.45 ± 10.31) points vs. (56.51 ± 9.15) points, (136.67 ± 32.44)° vs. (109.32 ± 25.01)°, (51.64 ± 12.84)° vs. (42.95 ± 11.72)°, (34.35 ± 10.15)° vs. (29.53 ± 9.82)°, (45.63 ± 10.25) points vs. (39.16 ± 10.43) points, (83.42 ± 16.09) points vs. (74.55 ± 15.83) points, there were statistical differences ( P<0.05). While the levels of serum IL-1β, IL-6, TNF-α, and VAS score in the internal heat needle group were decreased in the electroacupuncture group: (7.39 ± 3.68) ng/L vs. (9.28 ± 4.10) ng/L, (19.25 ± 2.12) ng/L vs. (28.50 ± 2.43) ng/L, (9.55 ± 3.54) ng/L vs. (11.17 ± 3.77) ng/L,(1.69 ± 0.45) points vs. (2.13 ± 0.56) points, there were statistical differences ( P<0.05). The therapeutic effect in the internal heat needle group was significantly higher than that in the electroacupuncture group:93.62% (44/47) vs. 78.72% (37/47), there was statistical difference ( P<0.05). Conclusions:For post-stroke shoulder pain, internal heat needle therapy has a clear healing effect than electroacupuncture, and can effectively reduce the levels of inflammatory factors such as IL-1β, IL-6, and TNF-α in serum.

Glutathione(GSH)is a tripeptide containing sulfhydryl groups,which has the function of antioxidant,detoxifying,and immune enhancing effects,and its expression is closely associated with many diseases such as cancer,etc.Therefore,it is of great significance for clinical diagnosis by developing a highly sensitive,simple,and rapid method for detecting GSH.Herein,two-dimensional(2D)Zn-TCPP(Fe)nanosheets employing Zn2+and Fe-bound tetrakis(4-carboxyphenyl)porphyrin ligands were obtained by a surfactant-assisted synthetic method.The 2D Zn-TCPP(Fe)nanosheets exhibited excellent peroxidase-like activity,which allowed the catalysis of the H2O2-initiated oxidation of colorless 3,3',5,5'-tetramethylbenzidine(TMB)to blue oxidized TMB(ox-TMB).In the presence of GSH,GSH underwent a reduction reaction with oxTMB,resulting in the blue color of the solution fading.The proposed colorimetric sensor exhibited favorable sensitivity for GSH in the linear range of 0.1-200 μmol/L with a limit of detection(S/N=3)of 0.042 μmol/L,indicating excellent selectivity.The developed sensor was successfully applied to detect GSH level in the human serum samples with recoveries of 93.0％-107.7％,showing satisfactory results.The developed colorimetric sensor provided a new approach for detecting GSH.

Monoamine neurotransmitters mainly include serotonin,dopamine,epinephrine,and norepinephrine.They play an indispensable regulatory role in key physiological activities such as emotion,sleep,and memory within the central nervous system.Precise detection of these neurotransmitters holds great significance in the field of neuroscience research.Detection methods for monoamine neurotransmitters encompass high-performance liquid chromatography,mass spectrometry,capillary electrophoresis,fluorescence spectroscopy,and electrochemical methods,etc.Compared with other methods,electrochemical methods offer advantages such as high sensitivity,good selectivity,low cost,strong portability,convenient operation,and capability for in vivo real-time detection.This article reviewed recent research progress in electrochemical detection of monoamine neurotransmitters,focusing on a retrospective and summary from three aspects:sensor electrode materials,detection of various monoamine neurotransmitters,and in vivo real-time analysis.Furthermore,the future development of electrochemical sensors for monoamine neurotransmitters was prospected.

Objective:To analyze patch test results in patients with rosacea, investigate the prevalence of contact sensitization, and identify common allergens, to provide relevant evidence for the diagnosis, treatment, and preventive interventions for rosacea.Methods:A cross-sectional retrospective survey was conducted to analyze the positive contact allergy rate and allergen distribution in 186 rosacea patients who underwent the 60-item China Standard Series Patch Test (CB-1000) at the Department of Dermatology, Peking University First Hospital, from January 2023 to September 2024.Results:Among the 186 patients, 159(85.5%) showed positive reactions in patch tests. The top three allergens with the highest positivity rates were: metal salts, preservatives and fragrances. The top 10 individual allergens with the highest positivity rates were: nickelsulfate hexahydrate 46.8%(87/186), cobaltchloride hexahydrate 29.0%(54/186), hydroperoxides of linalool 15.1%(28/186), carba mix 14.0%(26/186), propolis 9.7%(18/186), fragrance mix Ⅰ 8.6%(16/186), methyl dibromo glutaronitrile 8.1%(15/186), Peru balsam 7.5%(14/186), gold sodium thiosulfate dihydrate 7.5%(14/186), and hydroperoxides of limonene 7.5%(14/186). The overall positivity rate for cosmetics-related allergens was 56.5% (105/186), with the top five allergens being: hydroperoxide of linalool 15.1%(28/186), propolis 9.7%(18/186), fragrance mix Ⅰ 8.6%(16/186), methyl dibromo glutaronitrile 8.1%(15/186), and Peru balsam 7.5%(14/186).Conclusion:The overall positivity rate for patch test allergens in rosacea patients is high. The most common allergen types are metal salts, preservatives, and fragrance agents. Cosmetics-related allergens also show a high positivity rate. Rosacea patients should avoid exposure to these allergens.

Objective:To investigate the differences in clinical and imaging characteristics of patients with recent small subcortical infarct (RSSI) stratified by different etiological subtypes.Methods:A retrospective, consecutive analysis was conducted on 696 RSSI patients admitted to the West China Hospital, Sichuan University, from January 2019 to May 2024. Based on clinical and imaging data, patients were stratified into 3 etiological subgroups: presumed cerebral small vessel disease (CSVD)-related RSSI, coexisting carrier large artery stenosis, and coexisting proximal extracranial/intracranial large artery stenosis. The clinical characteristics, vascular risk factors, infarct imaging features, and CSVD markers were compared across the 3 groups. Additionally, the differences in clinical and imaging features based on the location of infarcts (anterior vs posterior circulation) and infarct size (<15 mm vs ≥15 mm) were examined. Results:Among the 696 patients, 557 (80.0%) had presumed CSVD-related RSSI, 68 (9.8%) had coexisting carrier large artery stenosis, and 71 (10.2%) had coexisting proximal extracranial/intracranial large artery stenosis. The patients with presumed CSVD-related RSSI were the youngest [60 (53, 69) years], followed by those with coexisting carrier large artery stenosis [64 (55, 69) years] and those with coexisting proximal extracranial/intracranial large artery stenosis [69 (55, 75) years; H=9.523, P=0.013]. Among RSSI patients with coexisting proximal extracranial/intracranial large artery stenosis, the proportion of those with diabetes (38/71, 53.5%) was the highest, whereas the proportion was 210/557 (37.7%) in the presumed CSVD-related group and 31/68 (45.6%) in the group with coexisting carrier large artery stenosis (χ 2=8.027, P=0.023). Patients with RSSI combined with proximal extracranial/intracranial large artery stenosis had more infarction sites in the pons and a higher proportion of proximal infarction. However, there were no significant differences among the 3 groups in terms of infarct size, or CSVD imaging markers. In the anterior versus posterior circulation comparison, patients with posterior circulation RSSI ( n=360) had a significantly higher age of onset [63(55, 72) years vs 60(52, 59) years, U=51 335.500, P<0.001], had higher prevalence of hypertension and diabetes, and showed higher NIHSS scores [3(2, 6) vs 3(1, 5), U=57 840.500, P=0.028]. The anterior circulation group ( n=366) showed a higher proportion of lacunas [152/336 (45.2%) vs 118/360 (32.8%), χ2=11.364, P<0.001], while the posterior circulation group had a greater prevalence of severe perivascular spaces in the basal ganglia [254/360 (70.6%) vs 203/336 (60.4%), χ2=7.879, P=0.005] and deep white matter hyperintensities grading≥2 [124/360 (34.4%) vs 90/336 (26.8%), χ2=4.787, P=0.029]. There were no statistically significant differences in the distribution of infarcts between anterior and posterior circulations or in CSVD imaging markers between RSSI patients with infarction lesions ≥15 mm ( n=290) and <15 mm ( n=406). Conclusions:Approximately 20% of RSSI cases are related to large artery stenosis. These patients tend to be older at onset and have a higher prevalence of diabetes. Compared to presumed CSVD-related RSSI cases, RSSI cases related to large artery stenosis show no significant differences in infarct imaging features and CSVD imaging markers, suggesting that large artery stenosis in RSSI may be an epiphenomenon rather than a direct causative factor.