Objective To investigate the anti-intrahepatic cholangiocarcinoma （ICC） activity and mechanism of 2-heptyl-3-hydroxy-4（1H）-quinolone （PQS）, a secondary metabolite of polar marine microorganisms. Methods Patient-derived organoid （PDO） models were established using intrahepatic cholangiocarcinoma （ICC） tumor tissues obtained from Renji Hospital, Shanghai Jiao Tong University School of Medicine. Hematoxylin and eosin （HE） staining was performed to assess the histomorphological characteristics of both patient ICC tissues and corresponding PDOs. Immunohistochemistry （IHC） was employed to evaluate CYP3a expression in patient ICC tissues and PDOs. The antiproliferative activity of PQS against stably passaged PDOs was determined using an adenosine triphosphate （ATP）-based bioluminescence assay, and dose-response curves were fitted to calculate the half-maximal inhibitory concentration （IC₅₀） for assessing the anti-ICC efficacy of PQS. In the human intrahepatic cholangiocarcinoma RBE cell model, the effects of PQS on RBE cell proliferation were evaluated by the cell counting kit-8 （CCK-8） assay; colony formation capacity was assessed by the plate colony formation assay; cell cycle distribution and apoptosis were analyzed by flow cytometry; and the protein expression levels of cyclin-dependent kinase 2（CDK2）, CDK4, RelA（p65）, and nuclear factor-κB1（p50） were detected by Western blotting. Results Two ICC PDO models were successfully established. Histomorphological observation revealed that the PDO tissues after serial passaging exhibited morphological features essentially consistent with the corresponding patient ICC tissues, both presenting as cystic vesicle-like structures. Immunohistochemical analysis demonstrated that CYP3a was expressed in both PDO tissues and patient ICC tissues. ATP-based bioluminescence assay results indicated that PQS effectively suppressed ATP content in PDO tissues, with a fitted dose-response curve yielding an IC₅₀ value of 2.49 µmol/L. In the RBE cell model, PQS inhibited RBE cell viability in a concentration-dependent manner, and the fitted dose-response curve yielded an IC₅₀ value of 1.05 µmol/L. Furthermore, PQS at concentrations of 1, 2, and 4 µmol/L significantly suppressed colony formation of RBE cells, arrested the cell cycle at the S phase, induced apoptosis, and downregulated the expression of proteins associated with the NF-κB signaling pathway. Conclusion ICC PDO models were successfully established, confirming the anti-ICC activity of PQS. PQS inhibited RBE cell proliferation, potentially via the NF-κB signaling pathway, by arresting the cell cycle at the S phase and inducing apoptosis of RBE cells

Objective To investigate the anti-intrahepatic cholangiocarcinoma （ICC） activity and mechanism of 2-heptyl-3-hydroxy-4（1H）-quinolone （PQS）, a secondary metabolite of polar marine microorganisms. Methods Patient-derived organoid （PDO） models were established using intrahepatic cholangiocarcinoma （ICC） tumor tissues obtained from Renji Hospital, Shanghai Jiao Tong University School of Medicine. Hematoxylin and eosin （HE） staining was performed to assess the histomorphological characteristics of both patient ICC tissues and corresponding PDOs. Immunohistochemistry （IHC） was employed to evaluate CYP3a expression in patient ICC tissues and PDOs. The antiproliferative activity of PQS against stably passaged PDOs was determined using an adenosine triphosphate （ATP）-based bioluminescence assay, and dose-response curves were fitted to calculate the half-maximal inhibitory concentration （IC₅₀） for assessing the anti-ICC efficacy of PQS. In the human intrahepatic cholangiocarcinoma RBE cell model, the effects of PQS on RBE cell proliferation were evaluated by the cell counting kit-8 （CCK-8） assay; colony formation capacity was assessed by the plate colony formation assay; cell cycle distribution and apoptosis were analyzed by flow cytometry; and the protein expression levels of cyclin-dependent kinase 2（CDK2）, CDK4, RelA（p65）, and nuclear factor-κB1（p50） were detected by Western blotting. Results Two ICC PDO models were successfully established. Histomorphological observation revealed that the PDO tissues after serial passaging exhibited morphological features essentially consistent with the corresponding patient ICC tissues, both presenting as cystic vesicle-like structures. Immunohistochemical analysis demonstrated that CYP3a was expressed in both PDO tissues and patient ICC tissues. ATP-based bioluminescence assay results indicated that PQS effectively suppressed ATP content in PDO tissues, with a fitted dose-response curve yielding an IC₅₀ value of 2.49 µmol/L. In the RBE cell model, PQS inhibited RBE cell viability in a concentration-dependent manner, and the fitted dose-response curve yielded an IC₅₀ value of 1.05 µmol/L. Furthermore, PQS at concentrations of 1, 2, and 4 µmol/L significantly suppressed colony formation of RBE cells, arrested the cell cycle at the S phase, induced apoptosis, and downregulated the expression of proteins associated with the NF-κB signaling pathway. Conclusion ICC PDO models were successfully established, confirming the anti-ICC activity of PQS. PQS inhibited RBE cell proliferation, potentially via the NF-κB signaling pathway, by arresting the cell cycle at the S phase and inducing apoptosis of RBE cells

To summarize the clinical characteristics, antibody spectrum and neuroelectrophysiological features of autoimmune nodopathy(AN), and to explore the phenotypic differences among different antibody-positive subgroups.

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 understand the current status of psychological sub health among secondary vocational school students and explore its related factors, so as to provide a scientific basis for improving their mental health. Methods: From September to December 2024, a convenience sampling method was used to conduct a questionnaire survey among 5 141 secondary vocational school students from 16 schools across 8 provinces and municipalities (Fujian, Chongqing, Guangdong, Guangxi, Hubei, Jiangxi, Shanghai, Zhejiang). A self designed questionnaire was used to collect data on students demographic characteristics and lifestyle behaviors. The Multidimensional Sub health Questionnaire of Adolescents was adopted to assess psychological sub health status. Multivariate binary Logistic stepwise regression analysis was performed to explore the related factors of psychological sub health among secondary vocational school students. Results: The detection rate of psychological sub health among secondary vocational school students was 11.0%, with detection rates of emotional problems, conduct problems, and social adaptation difficulty being 12.3 %, 12.5%, and 9.5%, respectively. Logistic regression analysis revealed that boys and students whose fathers had an educational level of primary school or below, and junior high school, had relatively lower risks of developing psychological sub health or emotional problems, conduct problems, and social adaptation difficulty ( OR =0.55-0.64, all P <0.05). Conversely, students with urban household registration, those with left behind experience, those with poor self rated family economic status, those from other family structures, those classified as overweight and obesity, and those with sleep disorders, frequent consumption of sugar sweetened beverages, frequent consumption of takeout/delivery food, smoking, alcohol consumption, and low to moderate physical activity levels exhibited significantly higher risks across psychological sub health or emotional problems,conduct problems, and social adaptation difficulty ( OR =1.25-4.79, all P <0.05). Conclusions The psychological sub health condition of secondary vocational school students should not be neglected. Psychological sub health of secondary vocational school students is related to multiple factors such as demographic characteristics and lifestyle behaviors. Multi dimensional intervention measures should be implemented to improve their mental health.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Purpose: This study assessed the performance of the ultrasound-guided attenuation parameter (UGAP) in diagnosing and grading hepatic steatosis in patients with metabolic dysfunctionassociated steatotic liver disease (MASLD). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) served as the reference standard. Methods: Patients with hepatic steatosis were enrolled in this prospective study and underwent UGAP measurements. MRI-PDFF values of ≥5%, ≥15%, and ≥25% were used as references for the diagnosis of steatosis grades ≥S1, ≥S2, and S3, respectively. Spearman correlation coefficients and area under the receiver operating characteristic curves (AUCs) were calculated. Results: Between July 2023 and June 2024, the study included 88 patients (median age, 40 years; interquartile range [IQR], 36 to 46 years), of whom 54.5% (48/88) were men and 45.5% (40/88) were women. Steatosis grades exhibited the following distribution: 22.7% (20/88) had S0, 50.0% (44/88) had S1, 21.6% (19/88) had S2, and 5.7% (5/88) had S3. The success rate for UGAP measurements was 100%. The median UGAP value was 0.74 dB/cm/MHz (IQR, 0.65 to 0.82 dB/ cm/MHz), and UGAP values were positively correlated with MRI-PDFF (r=0.77, P<0.001). The AUCs of UGAP for the diagnoses of ≥S1, ≥S2, and S3 steatosis were 0.91, 0.90, and 0.88, respectively. In the subgroup analysis, 98.4% (60/61) of patients had valid controlled attenuation parameter (CAP) values. UGAP measurements were positively correlated with CAP values (r=0.65, P<0.001). Conclusion Using MRI-PDFF as the reference standard, UGAP demonstrates good diagnostic performance in the detection and grading of hepatic steatosis in patients with MASLD.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: This study assessed the performance of the ultrasound-guided attenuation parameter (UGAP) in diagnosing and grading hepatic steatosis in patients with metabolic dysfunctionassociated steatotic liver disease (MASLD). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) served as the reference standard. Methods: Patients with hepatic steatosis were enrolled in this prospective study and underwent UGAP measurements. MRI-PDFF values of ≥5%, ≥15%, and ≥25% were used as references for the diagnosis of steatosis grades ≥S1, ≥S2, and S3, respectively. Spearman correlation coefficients and area under the receiver operating characteristic curves (AUCs) were calculated. Results: Between July 2023 and June 2024, the study included 88 patients (median age, 40 years; interquartile range [IQR], 36 to 46 years), of whom 54.5% (48/88) were men and 45.5% (40/88) were women. Steatosis grades exhibited the following distribution: 22.7% (20/88) had S0, 50.0% (44/88) had S1, 21.6% (19/88) had S2, and 5.7% (5/88) had S3. The success rate for UGAP measurements was 100%. The median UGAP value was 0.74 dB/cm/MHz (IQR, 0.65 to 0.82 dB/ cm/MHz), and UGAP values were positively correlated with MRI-PDFF (r=0.77, P<0.001). The AUCs of UGAP for the diagnoses of ≥S1, ≥S2, and S3 steatosis were 0.91, 0.90, and 0.88, respectively. In the subgroup analysis, 98.4% (60/61) of patients had valid controlled attenuation parameter (CAP) values. UGAP measurements were positively correlated with CAP values (r=0.65, P<0.001). Conclusion Using MRI-PDFF as the reference standard, UGAP demonstrates good diagnostic performance in the detection and grading of hepatic steatosis in patients with MASLD.