Objective:To investigate the application value of photon-counting detector CT (PCD-CT) in preoperative identification of critical anatomical structures and surgical assessment in pancreatic cancer, and to compare its performance with conventional energy-integrating detector CT (EID-CT) in delineating tumor margins, vascular structures, and neural anatomy.Methods:This single-center retrospective matched case-control study included 25 patients with pathologically confirmed pancreatic ductal adenocarcinoma who underwent PCD-CT enhanced scanning and curative surgery at Peking Union Medical College Hospital between February and June 2025 (PCD-CT group). These patients were matched in a 1∶2 ratio to 50 patients who underwent EID-CT between January 2016 and December 2024 and subsequently received curative surgery (EID-CT group). Tumor boundary clarity, vascular visualization scores, and neural structure visibility were subjectively evaluated using the Likert scoring system. The assessed vessels included the celiac artery, common hepatic artery, superior mesenteric artery, splenic artery, portal vein, superior mesenteric vein, splenic vein, and pancreaticoduodenal arterial arcade. Imaging-based assessment of structural involvement was compared with intraoperative findings and pathological results to calculate diagnostic accuracy. Surgeons rated the usefulness of PCD-CT images for identifying key structures and determining resectability using a 5-point Likert scale. The Mann-Whitney U test was used for group comparisons of subjective scores, and categorical data were analyzed using the χ2 test or Fisher exact test. Results:The PCD-CT group showed significantly higher scores for tumor boundary clarity, vascular visualization, and neural structure detectability than those of the EID-CT group (all P<0.05). The accuracy of assessing superior mesenteric vein involvement was 96.0% (24/25) in the PCD-CT group and 72.0% (36/50) in the EID-CT group, with a significant difference ( χ2=6.00, P=0.014). Postoperative surgeon evaluations indicated that PCD-CT provided substantial assistance for both key structure identification [5 (5, 5)] and resectability assessment [5 (4, 5)]. Conclusion:PCD-CT demonstrates superior performance over EID-CT in preoperative delineation of tumor margins, vascular structures, and neural anatomy and in the assessment of structural involvement in pancreatic cancer. It provides valuable anatomical information to support preoperative evaluation and surgical decision-making.

Objective To explore the biological mechanism of radiation resistance in esophageal squamous cell carcinoma(ESCC)and search for effective sensitization targets.Methods We retrieved 186 signaling pathways and related gene information from the MSigDB database.We also obtained RNA transcriptome data of ESCC patients using the Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases.We collected clinical pathological characteristics and tissue samples of 97 ESCC patients in our hospital from 2013 to 2020.Gene set variation analysis(GSVA)was made to calculate KEGG signaling pathway score,radiotherapy resistance related signaling pathways were screened through random forest algorithm,key genes in the pathway were screened using DESeq2,and a radiotherapy efficacy prediction model was constructed based on support vector machine-recursive feature elimination(SVM-RFE).The results were validated through experiments such as Western blotting and clonogenic assay.Results Based on the KEGG signaling pathway and GSVA enrichment score,random forest analysis showed that in the TCGA and GSE45670 cohorts,the contribution of tryptophan metabolism pathway enrichment values to radiation resistance in ESCC was significantly better than that of the other pathways.DESeq2 analysis revealed that key molecules in the tryptophan metabolism pathway,namely,IDO1,ALDH1B1,AOC1,INMT,AFMID and ALDH7A1,were significantly differentially expressed in the resistant and sensitive groups of ESCC.Based on the SVM-RFE algorithm,the AUC was 0.77,which could accurately predict the radiotherapy efficacy of ESCC.Western blotting experiments showed that IDO1 was highly expressed in ESCC cells,and IDO1 inhibitor treatment significantly inhibited the survival ability and radiosensitivity of KYSE-410 cells.In the enrolled patients of our hospital,immunohistochemical studies showed that IDO1 was highly expressed in the radiotherapy resistant group of ESCC and was associated with poor radiotherapy prognosis in ESCC patients.In addition,further testing showed that the expression of IDO1 in patient samples from our hospital was positively correlated with its PD-L1 expression,but negatively correlated with the infiltration ratio of CD3/CD8 immune cells.Conclusion Tryptophan catabolism is associated with radiation resistance in ESCC,and the key enzyme IDO1 in tryptophan metabolism can be used as a therapeutic target for radiosensitization in ESCC.

This study established an indirect ELISA method for antibody detection based on human rotavirus group A(RVA)VP6 protein,to provide technical support for RVA antibody detection.An ELISA method for detecting RVA antibodies was established through a checkerboard assay for optimization of the reaction conditions with VP6 protein of RVA as the diagnostic antigen.Serum samples from healthy children and patients infected with RVA were collected and detected with the ELISA method.The optimal work-ing conditions for ELISA involved coating the ELISA plate with VP6 protein at a concentration of 2 μg/mL and diluting the serum at a ratio of 1∶250.The critical value of negative and positive samples was 0.137.The ELISA method had good specificity,sensitivity,and repeatability,and showed a 95%consistency rate with the western blotting antibody detection method.We tested 370 serum samples collected from children,which showed an antibody positivity rate of 81.1%.We additionally tested the acute and recovery phase sera from 15 patients infected with RVA,and observed a significantly higher RVA antibody titer in the recovery phase serum than the acute infection phase serum.The ELISA antibody detection method showed good specificity,sensitivity,and reproducibility,and therefore can be used for RVA antibody detection and auxiliary diagnosis of RVA infection.

This study expressed the VP6 protein of human group A rotavirus in a prokaryotic expression system and prepared mouse polyclonal antibodies to this protein.The human rotavirus VP6 gene was amplified through RT-PCR from fecal samples infected with group A rotavirus and cloned into the pET-32a vector to construct the recombinant pET-32a-VP6 prokaryotic expression plas-mid.The recombinant plasmid was transformed into Escherichia coli BL21(DE3).VP6 protein was expressed through induction with isopropyl-β-D-thiopyranoside(IPTG),purified with nickel nitrilotriacetic acid(Ni-NTA)affinity chromatography,and identified through SDS-PAGE and western blotting.Polyclonal antibodies to the VP6 protein were obtained by immunization of BALB/c mice with VP6 protein.Antibody titers were determined through indirect ELISA.The recombinant expression plasmid pET-32a-VP6 was con-structed,and VP6 protein was expressed primarily in inclusion bodies.Polyclonal antibodies to VP6 protein with a titer of 1∶32 000 were obtained by immunization of mice with VP6 protein purified by affinity chromatography.The antibodies specifically reacted with VP6 protein.The VP6 protein of human group A rotavirus was expressed and purified,and mouse polyclonal antibodies to this protein were prepared,thus providing a foundation for the preparation of a diagnostic antigen for human group A rotavirus and the establishment of serological detection methods.

Objective To explore the impact of the number of negative lymph node resections on the overall survival and recurrence rate of patients with ovarian cancer.Methods A retrospective selection was made of 150 ovarian cancer patients admitted to our hospital from October 2021 to October 2023 as the research subjects.According to the standard of the number of negative lymph nodes removed,they were divided into three groups:T1 group(≤17),T2 group(18～27),and T3 group(≥28).Clinical characteristics and surgical indicators were collected,and the recurrence and survival situations were analyzed.Results The clinical characteristic analysis results showed that there were no statistically significant differences among the three groups in terms of age,meno-pausal status,BMI,CCI,family history of tumors,etc.(P>0.05).There were no significant differences in surgi-cal methods,residual lesion size,postoperative complications among the three groups(P>0.05).In terms of operation time,T1 group0.05),but with the increase in the number of lymph node resections(from T1 group to T3 group),the recurrence rate showed a statistically significant downward trend(P<0.05).Cox regression analysis showed that the univariate analysis indicated that for each additional negative lymph node,the risk of death decreased by 4.7%(HR=0.953,P<0.05);the multivariate analysis(after adjusting for confounding factors)showed that the risk decreased by 5.8%(HR=0.942,P<0.05).Restricted cubic spline(RCS)analysis confirmed a significant linear association between the two(P<0.05).With 5 lymph nodes as the reference,the risk ratios for 10,20,and 30 resections were 1.003,0.760,and 0.317,respectively,and the trend showed that the risk of death contin-ued to decrease as the number of lymph nodes increased.Multivariate Cox analysis showed that the risk of death in T3 group was 68%lower than that in T1 group(P<0.05),the risk in FIGO stage Ⅲ was 3.11 times higher(P<0.05),and the risk in high-grade tumors was 2.80 times higher(P<0.05).Conclusions The number of nega-tive lymph nodes removed in patients with ovarian cancer is linearly correlated with prognosis.The more lymph nodes removed,the lower the risk of death for the patients.Adequate lymph node removal should be an important part of the surgical treatment for ovarian cancer.

Objective To explore the impact of the number of negative lymph node resections on the overall survival and recurrence rate of patients with ovarian cancer.Methods A retrospective selection was made of 150 ovarian cancer patients admitted to our hospital from October 2021 to October 2023 as the research subjects.According to the standard of the number of negative lymph nodes removed,they were divided into three groups:T1 group(≤17),T2 group(18～27),and T3 group(≥28).Clinical characteristics and surgical indicators were collected,and the recurrence and survival situations were analyzed.Results The clinical characteristic analysis results showed that there were no statistically significant differences among the three groups in terms of age,meno-pausal status,BMI,CCI,family history of tumors,etc.(P>0.05).There were no significant differences in surgi-cal methods,residual lesion size,postoperative complications among the three groups(P>0.05).In terms of operation time,T1 group0.05),but with the increase in the number of lymph node resections(from T1 group to T3 group),the recurrence rate showed a statistically significant downward trend(P<0.05).Cox regression analysis showed that the univariate analysis indicated that for each additional negative lymph node,the risk of death decreased by 4.7%(HR=0.953,P<0.05);the multivariate analysis(after adjusting for confounding factors)showed that the risk decreased by 5.8%(HR=0.942,P<0.05).Restricted cubic spline(RCS)analysis confirmed a significant linear association between the two(P<0.05).With 5 lymph nodes as the reference,the risk ratios for 10,20,and 30 resections were 1.003,0.760,and 0.317,respectively,and the trend showed that the risk of death contin-ued to decrease as the number of lymph nodes increased.Multivariate Cox analysis showed that the risk of death in T3 group was 68%lower than that in T1 group(P<0.05),the risk in FIGO stage Ⅲ was 3.11 times higher(P<0.05),and the risk in high-grade tumors was 2.80 times higher(P<0.05).Conclusions The number of nega-tive lymph nodes removed in patients with ovarian cancer is linearly correlated with prognosis.The more lymph nodes removed,the lower the risk of death for the patients.Adequate lymph node removal should be an important part of the surgical treatment for ovarian cancer.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

This study established an indirect ELISA method for antibody detection based on human rotavirus group A(RVA)VP6 protein,to provide technical support for RVA antibody detection.An ELISA method for detecting RVA antibodies was established through a checkerboard assay for optimization of the reaction conditions with VP6 protein of RVA as the diagnostic antigen.Serum samples from healthy children and patients infected with RVA were collected and detected with the ELISA method.The optimal work-ing conditions for ELISA involved coating the ELISA plate with VP6 protein at a concentration of 2 μg/mL and diluting the serum at a ratio of 1∶250.The critical value of negative and positive samples was 0.137.The ELISA method had good specificity,sensitivity,and repeatability,and showed a 95%consistency rate with the western blotting antibody detection method.We tested 370 serum samples collected from children,which showed an antibody positivity rate of 81.1%.We additionally tested the acute and recovery phase sera from 15 patients infected with RVA,and observed a significantly higher RVA antibody titer in the recovery phase serum than the acute infection phase serum.The ELISA antibody detection method showed good specificity,sensitivity,and reproducibility,and therefore can be used for RVA antibody detection and auxiliary diagnosis of RVA infection.

Objective:To investigate the clinical value of Delphian lymph node (DLN) metastasis (DLNM) in predicting regional lymph node involvement in patients with intrathyroidal papillary thyroid carcinoma (PTC).Methods:Clinical and pathological data from 345 consecutive patients with pathologically confirmed DLN status, who underwent initial surgical treatment at the Department of Surgical Oncology, First Affiliated Hospital of Zhejiang University School of Medicine between Jan 2020 and Dec 2022, were retrospectively analyzed.Results:DLNM was identified in 61 patients (17.7%). Univariate analysis revealed significant associations between DLNM and male sex, elevated preoperative thyroglobulin levels, larger tumor size, maximum tumor diameter >10 mm, bilateral lesions, multifocality, lymphovascular invasion, and lymph nodes metastases in pretracheal, paratracheal, and lateral cervical(all P ≤0.001). Elevated thyroglobulin antibody levels ( χ2=6.201, P=0.013) and Hashimoto's thyroiditis ( χ2=11.340, P<0.001) were protective factors for DLNM. Multivariate analysis identified male sex, lymphovascular invasion, pretracheal, and paratracheal lymph node metastases ( χ2=6.689, P=0.010; χ2=8.163, P=0.004; χ2=7.605, P=0.006; χ2=8.324, P=0.004) as independent risk indicators for DLNM. Patients with DLNM exhibited significantly higher risks of lymph nodes metastases in pretracheal ( χ2=27.307, P<0.001), paratracheal ( χ2=38.697, P<0.001), and lateral cervical ( χ2=36.459, P<0.001). Conclusion:DLNM demonstrates predictive value for both central compartment and lateral cervical lymph node metastases, warranting particular attention to meticulous dissection of the prelaryngeal region during surgery.

Objective:To explore the intervention effect of ultra-pure double-lumen dialyzer paired with online hemodiafiltration (PHF) on the microinflammatory state in maintenance hemodialysis patients.Methods:A total of 112 maintenance hemodialysis patients admitted to the Huadu District People′s Hospital of Guangzhou from January 2020 to December 2023 were prospectively enrolled. Using a parallel control and before-after control method, the patients were divided into an observation group and a control group according to the odd and even numbers of their enrollment sequence, with 56 cases in each group. The observation group received PHF during hemodiafiltration, while the control group received hemodiafiltration with a high-flux dialyzer. Venous blood samples were collected from both groups before treatment and 6 months after treatment to detect the levels of serum high-sensitivity C-reactive protein (hs-CRP), interleukin (IL)-2, IL-4, IL-6, IL-10, tumor necrosis factor-α (TNF-α), and interferon (IFN)-γ. The dialysis efficacy of the two groups was compared by evaluating the changes in microinflammatory index levels.Results:Before treatment, there were no significant differences in serum levels of IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ, and hs-CRP between the two groups (all P>0.05). After treatment, various inflammatory indicators in the observation group were significantly lower than those before treatment (all P<0.05), while there were no significant differences in inflammatory indicators in the control group before and after treatment (all P>0.05). Moreover, there were significant differences in inflammatory indicators between the observation group and the control group after treatment ( P<0.05). Conclusions:Ultra-pure double-lumen dialyzer paired with online hemodiafiltration can significantly improve the inflammatory state in hemodialysis patients.