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.

Objective To analyze the differences in structural integrity of cerebral white matter fiber bundles in vegetative state(VS)patients with different prognoses,and to construct an early-stage prognostic prediction model for 1-year post-stabilization prognosis.Methods A retrospective analysis was conducted on 52 VS patients admitted to the Department of Rehabilitation Medicine at Zhujiang Hospital of Southern Medical University.Patients were stratified into good prognosis(n=22)and poor prognosis(n=30)at 1-year follow-up based on Coma Recovery Scale-Revised(CRS-R)scores.The fractional anisotropy values of cerebral white matter fiber bundles were derived from diffusion tensor imaging,and for the first time,the scores of the visual subscales of CRS-R were combined with FA values as input features for the prognostic model.To optimize model construction,the least absolute shrinkage and selection operator regression was employed for feature screening,and synthetic minority over-sampling technique for data balancing.The prognostic prediction model was subsequently developed using a support vector machine algorithm and validated via leave-one-out cross-validation.Model performance was evaluated using area under receiver operating characteristic curve,along with accuracy,sensitivity,specificity,and F1 score metrics.Results Following LASSO regression feature screening,the pontine crossing tract,medial lemniscus,tapetum,splenium of corpus callosum,and visual subscale scores were identified as key predictors.A multimodal SVM-based prediction model constructed with the above features could effectively predict the 1-year prognosis of VS patients,achieving a high predictive performance(AUC=0.894).Conclusion The SVM-based model integrating FA values of specific white matter fiber bundles and visual subscale scores demonstrates excellent predictive performance in predicting the 1-year prognosis of VS patients.

Combined small cell lung cancer(C-SCLC)accounts for approximately 20%of all SCLC cases,while the propotion of C-SCLC mixed with squamous cell carcinoma component comprises less than 3%.At the pathological level,accurate diagnosis requires to distinguish it from other lung tumor types,and even rely on molecular testing.This article presents a case of a 67-year-old patient initially diagnosed with a peripheral lung tumor.The patient underwent comprehensive multidisciplinary management,including surgical resection,postoperative pathological differential diagnosis,chemotherapy,thoracic radiotherapy,brain metastasis,cranial radiotherapy,dynamic follow-up of imaging changes after cranial radiotherapy,and cranial surgery.Molecular residual disease(MRD)monitoring was integrated at critical time points during dynamic monitoring to inform personalized treatment decisions.The early MDT has brought the patient′s condition under control,and the overall survival of the patient exceeded 30 months.Through the introduction of the diagnosis and treatment process of this patient,we aim to offer novel perspectives on clinical decision-making for C-SCLC.

Objective:To investigate the correlation of systemic immune inflammatory index (SII) and monocyte-to-lymphocyte ratio (MLR) with chronic kidney disease-mineral and bone disorder (CKD-MBD) in patients with stage 5 chronic kidney disease (CKD).Methods:A cross-sectional survey method was used to select 152 patients with stage 5 CKD who received treatment in the Department of Nephrology, Hefei First People's Hospital from January 2023 to January 2024 as research subjects. Based on the patients' intact parathyroid hormone (iPTH) levels, they were divided into three groups: low iPTH group ( n = 63), normal iPTH group ( n = 46), and high iPTH group ( n = 43). The differences in SII and MLR among the three groups were analyzed. The relationship between SII and the occurrence of high iPTH was analyzed to assess the predictive efficacy of SII for high iPTH. Results:Among the 152 patients with stage 5 CKD, the low iPTH group accounted for 41.45% (63/152), the normal iPTH group for 30.26% (46/152), and the high iPTH group for 28.29% (43/152). The prevalence of hypertension in each group was as follows: 85.71% (54/63) in the low iPTH group, 89.13% (41/46) in the normal iPTH group, and 60.77% (30/43) in the high iPTH group ( χ2 = 6.60, P = 0.037). Other parameters showed significant differences among the groups: neutrophil count was 3.60 (2.94, 4.79) × 10 9/L in the low iPTH group, 4.08 (3.16, 4.88) × 10 9/L in the normal iPTH group, and 5.21 (4.08, 6.75) ×10 9/L in the high iPTH group ( Z = 25.64, P < 0.001); lymphocyte count was 1.51 (1.13, 1.85) × 10 9/L, 1.18 (1.00, 1.68) × 10 9/L, and 1.10 (0.75, 1.66) × 10 9/L, respectively ( Z = 8.25, P = 0.016); monocyte count was 0.47 (0.36, 0.62) × 10 9/L, 0.53 (0.42, 0.70) × 10 9/L, and 0.43 (0.33, 0.54) × 10 9/L, respectively ( Z = 8.15, P = 0.017); serum albumin levels were (37.26 ± 5.77) g/L, (36.31 ± 5.68) g/L, and (41.53 ± 4.90) g/L, respectively ( t = 10.85, P < 0.001); creatinine levels were 214.00 (148.00, 343.00) μmol/L, 462.00 (338.50, 682.25) μmol/L, and 835.50 (702.50, 960.75) μmol/L, respectively ( Z = 74.65, P < 0.001); serum calcium levels were 2.19 (2.11, 2.28) mmol/L, 2.16 (2.04, 2.26) mmol/L, and 2.32 (2.10, 2.49) mmol/L, respectively ( Z = 11.77, P = 0.003); serum phosphate levels were 1.21 (1.04, 1.49) mmol/L, 1.47 (1.27, 1.83) mmol/L, and 1.99 (1.65, 2.49) mmol/L, respectively ( Z = 48.72, P < 0.001); SII values were 362.75 (292.68, 639.92), 491.03 (380.12, 715.77), and 851.50 (525.23, 1 149.72), respectively ( Z = 33.02, P < 0.001); and MLR values were 0.30 (0.24, 0.43), 0.43 (0.30, 0.52), and 0.35 (0.28, 0.61), respectively ( Z = 9.02, P = 0.011). All differences among the three groups were statistically significant (all P < 0.05). There were no statistically significant differences among the groups regarding age, gender, height, body mass index, smoking history, alcohol consumption history, prevalence of diabetes, platelet count, serum total protein, uric acid, triglycerides, total cholesterol, high-density lipoprotein cholesterol, or low-density lipoprotein cholesterol (all P > 0.05). Multivariate logistic regression analysis indicated that elevated SII ( OR = 1.003, P = 0.024) was an independent risk factor for increased serum iPTH ( P < 0.05). Receiver operating characteristic analysis showed that the area under the curve for SII predicting high iPTH in patients with stage 5 CKD was 0.774 ( P < 0.001). Conclusions:In patients with stage 5 CKD, elevated creatinine, serum calcium, and SII are independent risk factors for increased serum iPTH, and SII has predictive value for the occurrence of high iPTH in patients with CKD.

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 investigate the influences of long non-coding RNA metastasis-associated lung adenocarcinoma tran-script 1(lncRNA MALAT1)/miR-876-5p/forkhead box protein M1(FOXM1)axis on TNF-α-induced proliferation,apoptosis and in-flammatory response of HaCaT cells.Methods:HaCaT cells were grouped into Ct group,Model group,si-NC group,si-MALAT1 group,mimic NC group,miR-876-5p mimic group,si-MALAT1+inhibitor NC group,and si-MALAT1+miR-876-5p inhibitor group.Except for the Ct group,cells in other groups were treated with 25 μg/L TNF-α to induce the in vitro cell model of psoriasis,and after 24 hours of TNF-α induction,the corresponding transfectants were transfected for 48 hours for subsequent experiments.qRT-PCR was applied to detect the expression of MALAT1 and miR-876-5p in cells;CCK-8 method and EdU staining were applied to detect cell pro-liferation;flow cytometry was applied to detect apoptosis;ELISA method was applied to detect the levels of IL-6,TNF-α,and IL-1β in cell supernatant;Western blot was applied to detect the protein expressions of FOXM1,proliferating cell nuclear antigen(PCNA),Bcl-2-associated X protein(Bax)and B-lymphocytoma-2(Bcl-2);dual-luciferase reporter gene assay was applied to verify the rela-tionship between MALAT1 and miR-876-5p,miR-876-5p and FOXM1;and RNA pull down experiments were applied to verify the re-lationship between MALAT1 and miR-876-5p.Results:Compared with the control group,the expressions of MALAT1 and FOXM1 protein expression in the experimental group were increased,and the expression of miR-876-5p was decreased(P<0.05);compared with Ct group,the expressions of MALAT1 and FOXM1 protein expression in HaCaT cells,A450 value,EdU positive rate,the levels of IL-6,TNF-α,IL-1β,and the protein expressions of PCNA and Bcl-2 in cell supernatant in Model group increased,the expression of miR-876-5p,apoptosis rate and the protein expression of Bax were decreased(P<0.05);silencing MALAT1 or overexpressing miR-876-5p could inhibit the proliferation and inflammatory response of HaCaT cells induced by TNF-α,and promote cell apoptosis;miR-876-5p inhibitor attenuated the inhibitory effects of silencing MALAT1 on TNF-α-induced HaCaT cell proliferation and inflammatory response,and the promotion on cell apoptosis;MALAT1 targeted and regulated the miR-876-5p/FOXM1 axis.Conclusion:Silencing MALAT1 may inhibit the expression of FOXM1 by up-regulating miR-876-5p,thereby inhibiting the proliferation and inflammatory re-sponse of HaCaT cells induced by TNF-α,and promoting cell apoptosis.

Jiaxing city is one of the pilot cities for the Long-term Care Insurance(LTCI)policy in Zhejiang Province.This study examines the current implementation status of Jiaxing's LTCI policy in terms of financing(including financing targets,channels,methods,and standards)and benefit payments(including payment forms,contents,standards,and levels).It summarizes the experiences and challenges encountered during the pilot process.Currently,Jiaxing's LTCI policy has undergone continuous improvement in financing and benefit payment mechanisms.The financing targets now cover both urban and rural residents,and the coverage has expanded from individuals with severe disabilities to include those with severe dementia.The benefit content has been refined,with the introduction of a detailed service project directory and service pricing.For the future,it is recommended to expand the coverage to individuals with moderate disabilities,based on the fund's capacity and sustainability,and to differentiate benefit standards according to the severity of disability.Furthermore,it is suggested to strengthen the responsibilities of employers and individuals,diversify financing channels,and gradually explore an independent financing mechanism for LTCI.A combination of fixed-amount and proportional financing methods should be considered,alongside factors such as intergenerational equity and population aging trends,to establish a scientific and dynamic premium adjustment mechanism.

Objective:To investigate the clinical and pathological characteristics, treatment and prognosis of endometriosis (EM)-associated ovarian mesonephric-like adenocarcinoma (MLA).Methods:Clinical and pathological data were collected from nine patients diagnosed with EM-associated ovarian MLA at the Obstetrics and Gynecology Hospital of Fudan University between January 2022 and December 2024. Histological slides were re-reviewed, immunohistochemical examination and molecular testing were performed, and patient follow-up was conducted.Results:(1) Clinical characteristics: the median age of the nine patients was 54 years (range: 38-69 years). All patients presented with a pelvic mass; five cases also reported abdominal pain. Tumor location included five cases in the right ovary, two in the left ovary, and two involving both ovaries. International Federation of Gynecology and Obstetrics (FIGO) staging showed 3 cases at stage Ⅰ, 4 at stage Ⅱ, and 2 at stage Ⅲ. (2) Pathological features: gross examination revealed mixed solid-cystic masses with solid areas appearing gray-white or yellow-brown; the median maximum tumor diameter was 9.0 cm (range: 2.6-13.0 cm). Microscopically, tumors exhibited various architectural patterns, including tubular, glandular, papillary, slit-like, sex cord-like, glomeruloid, and solid structures, with tubular and glandular patterns being most common. Tumor cells demonstrated mild to moderate nuclear atypia. Of the 11 tumor foci in the 9 cases, 8 showed coexistence of MLA with other tumor components, such as endometrioid carcinoma, borderline endometrioid or borderline seromucinous tumors. In 1 case of MLA mixed with a borderline endometrioid tumor, both components exhibited squamous metaplasia. Immunohistochemistry showed variable expression of GATA-binding protein 3, thyroid transcription factor-1, CD 10, and calretinin, with positive rates of 9/11, 8/11, 5/11, and 3/6, respectively. Two tumor foci (2/11) exhibited focal expression of estrogen receptor and progesterone receptor. All cases displayed wild-type p53 expression. Molecular testing via next-generation sequencing in five patients revealed pathogenic mutations in the KRAS gene (5/5), with 3 cases (3/5) harboring additional pathogenic mutations in other genes. (3) Treatment and prognosis: all patients underwent surgery, supplemented by chemotherapy and (or) targeted therapy. Five patients underwent comprehensive staging surgery, four received cytoreductive surgery, and one patient received targeted therapy. The median follow-up duration was 7 months (range: 2-27 months). Three patients (3/9) experienced recurrence, and no deaths were reported during the follow-up period. Conclusions:EM-associated ovarian MLA demonstrates diverse morphological patterns and frequently coexists with other tumor types. Accurate diagnosis relies on an integrated evaluation of histomorphology, immunohistochemistry, and molecular testing. The primary treatment for EM-associated ovarian MLA is surgery, followed by adjuvant chemotherapy. Patients harboring pathogenic KRAS p.G12C mutations may benefit from targeted therapies. Ovarian MLA is an aggressive tumor, prone to recurrence in the short term, and has a poor prognosis.

AIM To explore the differential metabolites of different aged Citrus reticulate'Chachi'and their processed cakes.METHODS Non-targeted metabolomics technology of GC-TOF-MS was used to analyze the chemical constituents.The data was processed by principal component analysis and orthogonal partial least squares discriminant analysis,and the differential metabolites were identified.RESULTS A total of 74 differential metabolites were identified,including 16 glycosides,14 organic acids and their derivatives,11 amino acids and their derivatives,and 4 flavonoids.Comparative analysis revealed 40 and 30 differential metabolites between fresh C.reticulate'℃hachi'and 3-year or 5-year aged samples,respectively.Furthermore,27 and 34 differential metabolites were identified between the 3-year or 5-year aged samples and their corresponding processed cakes,respectively.Differential metabolites among fresh,aged C.reticulate'Chachi',and processed cakes were predominantly enriched in 6 metabolic pathways,including the biosynthesis of secondary metabolites.Specifically,differential metabolites between 3-year aged C.reticulate'Chachi'and its processed cake were significantly enriched in 4 pathways,such as ABC transporters.Differential metabolites between 5-year aged C.reticulate'Chachi'and its processed cake were mainly enriched in 5 pathways,including carbon metabolism.CONCLUSION Non-targeted metabolomics technology can elucidate the chemical compositional differences among fresh/aged and processed cakes of C.reticulate'Chachi',laying a foundation for the research into C.reticulate'Chachi'aging processing techniques and the development of processed products.

OBJECTIVE To identify Bupleurum chinense pieces and its counterfeits based on the characteristic chromatogram and UPLC-Q-TOF/MS technology.METHODS Thin layer chromatography was used to identify Bupleurum chinense and its counterfeits collected from different origins and different producing areas.Then,the chemical constituents of Bupleurum chinense and its counter-feits were compared according to the established HPLC characteristic chromatogram,and the representative differential markers of Bup-leurum chinense counterfeits were further identified by UPLC-Q-TOF/MS technology.RESULTS Thin layer chromatography showed that different original Bupleurum chinense pieces had saikosaponin A and saikosaponin D,which could be distinguished according to the intensity and position of fluorescent spots.There were 14 and 16 common peaks in the specific chromatogram of Bupleurum chinense and its vinegar-processed products respectively,and 6 components were identified.The chemical components of Bupleurum chinense pieces from different producing areas were similar,and the established method could better reflect the characteristics of Bupleurum chinense.Further comparison of the specific chromatogram of Bupleurum chinense and its counterfeits showed that the composition of B.marginatum Wall.was close to that of the authentic Bupleurum chinense.,B.bicaule Helm and B.longiradiatum Turcz.had their own characteristic peaks with high response values.The content of saponins in B.marginatum var.stenophyllum was significantly high-er.A total of 69 Bupleurum compounds were identified by UPLC-Q-TOF/MS mainly triterpenoid saponins,followed by flavonoids,a few chromones,phenylpropanoids and alkynes.The results of cluster analysis showed that the interspecific differences of Bupleurum chinense were obvious,and different Bupleurum counterfeits had representative differential markers.CONCLUSION The established characteristic chromatogram and UPLC-Q-TOF/MS method can be used for the chemical identification of Bupleurum chinense and its counterfeits,which provide a basis for the comprehensive and rational development and utilization of Bupleurum resources.