Objective To investigate the therapeutic effect of combination treatment of transcatheter arterial chemoembolization(TACE),micro wave ablation(MW A)and targeted immunotherapy for hepatocellular carcinoma(HCC).Methods The clinical data of HCC patients,who were admitted to the Affiliated Central Hospital of Jiangnan University of China to receive TACE from August 2016 to August 2023,were retrospectively analyzed.Based on the inclusion criteria,a total of 252 patients were included in this study.According to the therapeutic scheme,the patients were divided into combination group(receiving TACE,MWA,targeted therapy and immunotherapy,n=41),and control group(receiving TACE alone,n=211).The overall survival(OS)and progression-free survival(PFS)of the two groups were statistically analyzed.After propensity score matching at 1∶1 ratio,the clinical effects of the two groups were analyzed.According to different data,t-test,test,Kaplan-Meier curve,logarithmic rank test,Cox regression analysis,or Cox proportional risk model analysis was used to make statistical analysis.Results Multivariate regression analysis showed that tumor number,maximum diameter,invasion of large vessels,tumor capsule,AFP level,glutamic oxalacetic transaminase,BCLC stage and Child-Pugh stage were the independent risk factors for patient survival.Imaging response and combination treatment were the protective factors for survival.After propensity score matching,a total of 37 pairs of patients were obtained,and the baseline data were comparable between the groups.The differences in OS and PFS between the two groups were statistically significant.Combination treatment of TACE,MWA,targeted therapy and immunotherapy could significantly prolong OS and PFS in HCC patients.Conclusion Compared with TACE alone,combination use of TACE,MWA,targeted therapy and immunotherapy is a more effective therapeutic scheme for HCC,it can remarkably and effectively improve OS and PFS in HCC patients.

Objective:To investigate the epidemiological and clinical characteristics of patients with nontuberculous mycobacterial infections in Hunan Province using metagenomics next generation sequencing (mNGS) .Methods:Pathological data form 320 patients diagnosed with mycobacterial infections at the Department of Pathology of Hunan People′s Hospital from June 2019 to December 2023 were collected, including HE staining, acid-fast staring, and fungal fluorescence staining. mNGS was utilized for the classification of mycobacterial pathogens.Results:Among 320 patients with mycobacterial infections, 249 cases were positive for Mycobacterium tuberculosis and 71 cases were positive for nontuberculous mycobacteria. Thirteen genera of nontuberculous mycobacteria were identified from the mycobacterial samples, including Mycobacterium chelonae, Mycobacterium avium complex, Mycobacterium abscessus, Mycobacterium gordonae, Mycobacterium intracellulare, Mycobacterium xenopi, Mycobacterium kansasii, Mycobacterium paragordonae, Mycobacterium obuense, Mycobacterium marinum, Mycobacterium fortuitum, Mycobacterium smegmatis and Mycobacterium mageritense. Conclusions:Infections caused by nontuberculous mycobacteria are gradually increasing, transitioning from single-strain infections to multi-strain complex infections. The histopathological features of nontuberculous mycobacterial infections are difficult to distinguish form those of tuberculosis, posing significant challenges for clinical diagnosis and treatment.

This review is based on the research progress and challenges of immune checkpoint inhibitors (ICIs) in the treatment of hepatocellular carcinoma (HCC). ICIs block the PD-1/PD-L1 and CTLA-4 pathways; thereby reactivate the body’s anti-tumor immune response, providing a new therapeutic option for patients with advanced HCC. However, the effect of ICIs is still compromised by factors such as primary and acquired resistance, immune-related adverse events and tumor microenvironment inhibition. This reveiw deeply analyzes these key mechanisms that affect the efficacy of ICIs, and proposes strategies to optimize the treatment, including combination with targeted therapy, chemotherapy and radiotherapy, modulation of tumor microenvironment, and the development of novel biomarkers. Future research should focus on personalized treatment that integrates the molecular and immunological characteristics of patients to enhance the precision and efficacy of ICIs therapy for patients with HCC.

Objective:To investigate the role and molecular mechanisms of signal transducer and activator of tran-scription 3(STAT3)in the paraventricular nucleus(PVN)of the hypothalamus in regulating body weight and energy metabolism in mice.Methods:AAV2/9-hSyn-Cre-EGFP virus was stereotactically injected into the PVN of STAT3Flox/Flox mice to conditionally knock out(CKO)STAT3 in the PVN.STAT3 expression was verified via immunoflu-orescence staining and Western blot.Body weight and temperature were monitored,glucose tolerance was assessed using glucose tolerance tests in mice,and morphological changes in the liver,interscapular brown adipose tissue(IBAT),in-guinal white adipose tissue(IWAT),and quadriceps muscle were evaluated via hematoxylin-eosin(HE)staining.RT-qPCR was used to measure mRNA levels of platelet-derived growth factor receptor α(PDGFRα),peroxisome prolifera-tor-activated receptor γ(PPARγ),hormone-sensitive lipase(HSL),and adipose triglyceride lipase(ATGL)in these tissues.Results:STAT3 protein expression in the PVN of CKO mice was significantly reduced,and the number of STAT3-positive neurons was also decreased.Compared to wild-type(WT)mice,CKO mice exhibited increased body weight,impaired thermogenesis in IBAT,and reduced glucose tolerance.HE staining revealed lipid droplet accumula-tion in hepatocytes of the liver,enlarged adipocytes with hypertrophic lipid droplets and leukocyte infiltration in adipose tissues,and intermuscular fat deposition in the quadriceps muscle.RT-qPCR analysis showed decreased mRNA levels of PDGFRα,HSL,and ATGL in the liver;upregulated PPARγ mRNA but downregulated HSL and ATGL mRNA in IBAT and IWAT;and reduced PPARγ and HSL mRNA levels in the quadriceps muscle of CKO mice.Conclusion:The STAT3 signaling pathway in the PVN is critical for maintaining systemic energy balance and serves as a key node in met-abolic regulation.

Purpose To explore the feasibility and clinical value of deep learning-based image reconstruction technology in 5.0T MRI for nasopharyngeal carcinoma.Materials and Methods A prospective study was conducted on 50 newly diagnosed nasopharyngeal carcinoma patients from August to December 2024 at Sun Yat-sen University Cancer Center.5.0T MRI was performed to scan the nasopharynx region.Routine scanning protocols included transverse T2WI,transverse T1WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI sequences.Based on these standard scanning protocols,DeepRecon deep learning reconstruction technology with different levels(grade 1-5)was applied,generating a total of 24 sets of images.Qualitative evaluation employed a Likert scale(5-point system)for subjective scoring on lesion detection,lesion edge clarity,artifacts and overall image quality.Quantitative evaluation was performed using the signal-to-noise ratio and contrast-to-noise ratio to objectively assess the quality of the 24 image sets.Differences in qualitative and quantitative indicators between different groups were compared,while the Kappa coefficient was used to analyze the consistency of subjective evaluations by two radiologists.Results In the qualitative assessment of 24 image sets from four MRI sequences(with and without DeepRecon reconstruction),DeepRecon images(grade 2-4)significantly outperformed traditional images in all features except for artifact reduction(Z=-12.11--6.23,all P<0.001).Images reconstructed at DeepRecon grade 3 had the highest overall score and the best image quality.Furthermore,compared with traditional images,DeepRecon images(grade 2-5)demonstrated significantly improved signal-to-noise ratio for both lesions and the lateral pterygoid muscle(t=-15.67--3.44,Z=-6.09--4.63,all P<0.01).In addition,in the transverse T2WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI images with DeepRecon reconstruction(grade 2-5),the contrast-to-noise ratio(lesion/lateral pterygoid muscle)also showed significant improvement compared to traditional images(t=-12.71--3.19,Z=-6.08--4.47,all P<0.001).The inter-observer agreement for the overall subjective quality score between the two radiologists was good(Kappa=0.75-0.82,all P<0.01).Conclusion DeepRecon deep learning reconstruction technology significantly increases the signal-to-noise ratio and resolution of traditional magnetic resonance images of nasopharyngeal cancer,improving image clarity and bringing more possibilities for the advancement of imaging diagnosis.

Objective:To investigate teachers' evaluation and willingness and the influencing factors regarding the adoption of the flipped classroom teaching mode in undergraduate pediatrics education.Methods:From December 2022 to December 2024, a questionnaire survey was conducted among the teachers who were responsible for teaching Child Health and Disease（Pediatrics) to the eight-year clinical medicine students at Peking University Health Science Center. Their views, evaluation, and willingness of implementing the flipped classroom teaching mode were investigated. Logistic regression analysis was performed using SPSS 26.0 software to explore the factors influencing teachers' willingness to adopt the flipped classroom teaching mode.Results:A total of 102 questionnaires were collected. Among the teachers, 20.59%（ n=21) believed that the teaching effect of the flipped classroom was better than that of the traditional class, 58.82%（ n=60) considered its effectiveness comparable, and 20.59%（ n=21) found it less effective. The most influential factors affecting the effectiveness of flipped classroom were students' self-learning with online videos [(4.39±0.73) points], student participation in the flipped classrooms [(4.26±0.72) points], the adequacy of teachers' pre-class preparation [(4.18±0.65) points], and the suitability of the teaching content for the flipped classroom [(4.11±0.76) points]. Teachers believed that the flipped classroom significantly enhanced students' autonomous learning ability [(4.11±0.63) points], clinical thinking [(4.04±0.58) points], and expression skills [(3.80±0.61) points]. Additionally, 78.43%（ n=80) of the teachers expressed willingness to continue participating in flipped classroom teaching. Factors influencing teachers' willingness to adopt the flipped classroom included gender, satisfaction with students' classroom participation, and personal experience with the effectiveness of the flipped classroom（ P<0.05). Conclusions:The flipped classroom teaching mode is well-accepted by teachers. Students' classroom participation affects teachers' willingness to continue using the flipped classroom teaching mode. In the future, the content of flipped classroom should be arranged individually according to specific teaching objectives to increase students' classroom participation and promote the cultivation of students' ability.

Objective:To investigate the role and molecular mechanisms of signal transducer and activator of tran-scription 3(STAT3)in the paraventricular nucleus(PVN)of the hypothalamus in regulating body weight and energy metabolism in mice.Methods:AAV2/9-hSyn-Cre-EGFP virus was stereotactically injected into the PVN of STAT3Flox/Flox mice to conditionally knock out(CKO)STAT3 in the PVN.STAT3 expression was verified via immunoflu-orescence staining and Western blot.Body weight and temperature were monitored,glucose tolerance was assessed using glucose tolerance tests in mice,and morphological changes in the liver,interscapular brown adipose tissue(IBAT),in-guinal white adipose tissue(IWAT),and quadriceps muscle were evaluated via hematoxylin-eosin(HE)staining.RT-qPCR was used to measure mRNA levels of platelet-derived growth factor receptor α(PDGFRα),peroxisome prolifera-tor-activated receptor γ(PPARγ),hormone-sensitive lipase(HSL),and adipose triglyceride lipase(ATGL)in these tissues.Results:STAT3 protein expression in the PVN of CKO mice was significantly reduced,and the number of STAT3-positive neurons was also decreased.Compared to wild-type(WT)mice,CKO mice exhibited increased body weight,impaired thermogenesis in IBAT,and reduced glucose tolerance.HE staining revealed lipid droplet accumula-tion in hepatocytes of the liver,enlarged adipocytes with hypertrophic lipid droplets and leukocyte infiltration in adipose tissues,and intermuscular fat deposition in the quadriceps muscle.RT-qPCR analysis showed decreased mRNA levels of PDGFRα,HSL,and ATGL in the liver;upregulated PPARγ mRNA but downregulated HSL and ATGL mRNA in IBAT and IWAT;and reduced PPARγ and HSL mRNA levels in the quadriceps muscle of CKO mice.Conclusion:The STAT3 signaling pathway in the PVN is critical for maintaining systemic energy balance and serves as a key node in met-abolic regulation.

Purpose To explore the feasibility and clinical value of deep learning-based image reconstruction technology in 5.0T MRI for nasopharyngeal carcinoma.Materials and Methods A prospective study was conducted on 50 newly diagnosed nasopharyngeal carcinoma patients from August to December 2024 at Sun Yat-sen University Cancer Center.5.0T MRI was performed to scan the nasopharynx region.Routine scanning protocols included transverse T2WI,transverse T1WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI sequences.Based on these standard scanning protocols,DeepRecon deep learning reconstruction technology with different levels(grade 1-5)was applied,generating a total of 24 sets of images.Qualitative evaluation employed a Likert scale(5-point system)for subjective scoring on lesion detection,lesion edge clarity,artifacts and overall image quality.Quantitative evaluation was performed using the signal-to-noise ratio and contrast-to-noise ratio to objectively assess the quality of the 24 image sets.Differences in qualitative and quantitative indicators between different groups were compared,while the Kappa coefficient was used to analyze the consistency of subjective evaluations by two radiologists.Results In the qualitative assessment of 24 image sets from four MRI sequences(with and without DeepRecon reconstruction),DeepRecon images(grade 2-4)significantly outperformed traditional images in all features except for artifact reduction(Z=-12.11--6.23,all P<0.001).Images reconstructed at DeepRecon grade 3 had the highest overall score and the best image quality.Furthermore,compared with traditional images,DeepRecon images(grade 2-5)demonstrated significantly improved signal-to-noise ratio for both lesions and the lateral pterygoid muscle(t=-15.67--3.44,Z=-6.09--4.63,all P<0.01).In addition,in the transverse T2WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI images with DeepRecon reconstruction(grade 2-5),the contrast-to-noise ratio(lesion/lateral pterygoid muscle)also showed significant improvement compared to traditional images(t=-12.71--3.19,Z=-6.08--4.47,all P<0.001).The inter-observer agreement for the overall subjective quality score between the two radiologists was good(Kappa=0.75-0.82,all P<0.01).Conclusion DeepRecon deep learning reconstruction technology significantly increases the signal-to-noise ratio and resolution of traditional magnetic resonance images of nasopharyngeal cancer,improving image clarity and bringing more possibilities for the advancement of imaging diagnosis.

Objective:To investigate teachers' evaluation and willingness and the influencing factors regarding the adoption of the flipped classroom teaching mode in undergraduate pediatrics education.Methods:From December 2022 to December 2024, a questionnaire survey was conducted among the teachers who were responsible for teaching Child Health and Disease（Pediatrics) to the eight-year clinical medicine students at Peking University Health Science Center. Their views, evaluation, and willingness of implementing the flipped classroom teaching mode were investigated. Logistic regression analysis was performed using SPSS 26.0 software to explore the factors influencing teachers' willingness to adopt the flipped classroom teaching mode.Results:A total of 102 questionnaires were collected. Among the teachers, 20.59%（ n=21) believed that the teaching effect of the flipped classroom was better than that of the traditional class, 58.82%（ n=60) considered its effectiveness comparable, and 20.59%（ n=21) found it less effective. The most influential factors affecting the effectiveness of flipped classroom were students' self-learning with online videos [(4.39±0.73) points], student participation in the flipped classrooms [(4.26±0.72) points], the adequacy of teachers' pre-class preparation [(4.18±0.65) points], and the suitability of the teaching content for the flipped classroom [(4.11±0.76) points]. Teachers believed that the flipped classroom significantly enhanced students' autonomous learning ability [(4.11±0.63) points], clinical thinking [(4.04±0.58) points], and expression skills [(3.80±0.61) points]. Additionally, 78.43%（ n=80) of the teachers expressed willingness to continue participating in flipped classroom teaching. Factors influencing teachers' willingness to adopt the flipped classroom included gender, satisfaction with students' classroom participation, and personal experience with the effectiveness of the flipped classroom（ P<0.05). Conclusions:The flipped classroom teaching mode is well-accepted by teachers. Students' classroom participation affects teachers' willingness to continue using the flipped classroom teaching mode. In the future, the content of flipped classroom should be arranged individually according to specific teaching objectives to increase students' classroom participation and promote the cultivation of students' ability.

Objective:To investigate the epidemiological and clinical characteristics of patients with nontuberculous mycobacterial infections in Hunan Province using metagenomics next generation sequencing (mNGS) .Methods:Pathological data form 320 patients diagnosed with mycobacterial infections at the Department of Pathology of Hunan People′s Hospital from June 2019 to December 2023 were collected, including HE staining, acid-fast staring, and fungal fluorescence staining. mNGS was utilized for the classification of mycobacterial pathogens.Results:Among 320 patients with mycobacterial infections, 249 cases were positive for Mycobacterium tuberculosis and 71 cases were positive for nontuberculous mycobacteria. Thirteen genera of nontuberculous mycobacteria were identified from the mycobacterial samples, including Mycobacterium chelonae, Mycobacterium avium complex, Mycobacterium abscessus, Mycobacterium gordonae, Mycobacterium intracellulare, Mycobacterium xenopi, Mycobacterium kansasii, Mycobacterium paragordonae, Mycobacterium obuense, Mycobacterium marinum, Mycobacterium fortuitum, Mycobacterium smegmatis and Mycobacterium mageritense. Conclusions:Infections caused by nontuberculous mycobacteria are gradually increasing, transitioning from single-strain infections to multi-strain complex infections. The histopathological features of nontuberculous mycobacterial infections are difficult to distinguish form those of tuberculosis, posing significant challenges for clinical diagnosis and treatment.