Objective:To investigate the value of gadoxetate disodium-enhanced MRI combined with T 1 mapping in preoperative prediction of cytokeratin 19 (CK19) and glypican-3 (GPC3) positive dual-phenotype hepatocellular carcinoma (DPHCC). Methods:This case-control study included retrospectively enrolled patients with pathologically confirmed HCC from Central People′s Hospital of Zhanjiang (training set, n=85; December 2020 to July 2022) and the Second Affiliated Hospital, School of Medicine, South China University of Technology (test set, n=35; April 2023 to April 2024). Patients were categorized into CK19 and GPC3 positive DPHCC group (training set=19, test set=11) and non-DPHCC group (training set=66, test set=24) based on postoperative immunohistochemical staining. All patients received preoperative MRI scans, including gadoxetate disodium-enhanced imaging and T 1 mapping. Clinical data were collected, qualitative MRI features were evaluated, and quantitative parameters were measured, including signal intensity, T 1 values, apparent diffusion coefficient (ADC), tumor-to-liver ADC ratio (rADC), tumor-to-liver signal intensity ratio, and T 1 relaxation time reduction rate (ΔT 1%). Statistical comparisons between groups were performed using independent t-tests, Mann-Whitney U tests, or χ2 tests. Multivariate logistic regression identified independent predictors of CK19 and GPC3 positive DPHCC, and a combined model was constructed. Predictive performance was evaluated using area under the receiver operating characteristic curve (AUC), with DeLong test comparing model performance. Results:Significant intergroup differences were observed in alpha-fetoprotein (AFP), total bilirubin, direct bilirubin, DWI target sign, rADC, hepatobiliary-phase T 1 (T 1HBP), and ΔT 1% ( P<0.05). Multivariate analysis identified AFP>20 ng/ml ( OR=5.835, 95% CI 1.019-33.397, P=0.048), DWI target sign ( OR=13.408, 95% CI 2.216-81.131, P=0.005), and ΔT1%≤31% ( OR=14.429, 95% CI 2.166-96.125, P=0.006) as independent predictors of DPHCC. The AUC values of the aforementioned three independent predictors and the combined model for predicting DPHCC were 0.641 (95% CI 0.530-0.742), 0.679 (95% CI 0.569-0.777), 0.740 (95% CI 0.634-0.829), and 0.886 (95% CI 0.799-0.945) in the training set, and 0.568 (95% CI 0.390-0.743), 0.669 (95% CI 0.490-0.818), 0.689 (95% CI 0.511-0.843), and 0.824 (95% CI 0.658-0.931) in the test set, respectively. The DeLong test results showed that in the training set, the diagnostic performance of the combined model was superior to those of the three individual features ( Z=3.68, P<0.001; Z=3.15, P=0.002; Z=3.15, P=0.002). In the test cohort, the combined model demonstrated better diagnostic performance than AFP>20 ng/ml and ΔT 1%≤31% ( Z=2.15, P=0.032; Z=2.12, P=0.034), while no statistically significant difference was observed compared with the DWI target sign ( Z=1.77, P=0.076). Conclusion:The integrated model incorporating clinical data, gadoxetate disodium-enhanced MRI, and T 1 mapping parameters effectively predicts CK19 and GPC3 positive DPHCC.

BACKGROUND:Programmed cell death protein 1 belongs to the immunoglobulin gene superfamily and can regulate the differentiation of osteoblasts and affect bone homeostasis.However,there are few studies on the regulatory role and mechanism of programmed cell death protein 1 in diabetic osteoporosis.OBJECTIVE:To investigate the regulatory role and mechanism of programmed cell death protein 1 on osteogenic differentiation of rat bone marrow mesenchymal stem cells under high-glucose environment.METHODS:(1)Animal experiment:A total of 12 Sprageu-Dawley rats were randomized into a control group(n=6)and a model group(n=6).The control group was fed routinely,whereas the model group was injected intraperitoneally with streptozotocin to establish a model of type 1 diabetes mellitus,and the high-fat feed was fed for 8 weeks to establish a model of type 1 diabetic osteoporosis.After 8 weeks of feeding,the femurs of rats in the two groups were taken and subjected to hematoxylin-eosin staining and micro-CT assay.The mRNA expression of programmed cell death protein 1 and programmed death ligand 1 was detected.(2)Cell experiment:Passage 3 rat bone marrow mesenchymal stem cells were randomly divided into four groups:normal control group,high-glucose model group cultured in low glucose medium,programmed cell death protein 1-silenced group transfected with programmed cell death protein 1 siRNA,and programmed cell death protein 1-silenced null group transfected with siRNA-NC.After 48 hours of transfection,the normal control group was cultured in a new low-glucose medium,and the other three groups were cultured in a high-glucose medium for another 48 hours of culture followed by osteogenic induction.After 21 days of osteogenic induction,alizarin red staining,and qRT-PCR(programmed cell death protein 1 and RUNX2 mRNA expression)and western blot(β-catenin,GSK-3β,p-GSK-3β and Axin2 protein expression)were performed.RESULTS AND CONCLUSION:In the animal experiment,hematoxylin-eosin staining and micro-CT assay showed successful modeling of type 1 diabetic osteoporosis in the model group.qRT-PCR assay showed that the mRNA expression of programmed cell death protein 1 and programmed cell death ligand 1 was higher in the model group than the control group(P<0.05).In the cell experiment,the results of alizarin red staining showed that the ability of mineralized nodule formation was lower in the high-glucose model group and the programmed cell death protein 1-silenced null group than in the control group and the programmed cell death protein 1-silenced group.Compared with the normal control group,the programmed cell death protein 1 mRNA expression and GSK3β and Axin2 protein expression were elevated in the high-glucose model group and the programmed cell death protein 1-silenced null group(P<0.05),and the RUNX2 mRNA expression and p-GSK3β and β-catenin protein expression were decreased(P<0.05).Compared with the high-glucose model group and the programmed cell death protein 1-silenced null group,programmed cell death protein 1 mRNA expression and GSK3β and Axin2 protein expression were decreased in the programmed cell death protein 1-silenced group(P<0.05),and RUNX2 mRNA expression and p-GSK3β and β-catenin protein expression were elevated(P<0.05).To conclude,programmed cell death protein 1 silencing can activate the Wnt/β-catenin and improve the osteogenic differentiation of rat bone marrow mesenchymal stem cells under high-glucose conditions.

Objective:To investigate the value of human epididymal protein 4(HE4)combined with two-dimensional(2D)ultrasound for vagina in diagnosing the pathological classification of ovarian cancer and predicting its prognosis.Methods:The clinical data of a total of 100 patients with ovarian cancer who admitted to Hengshui Maternal and Child Health Care Hospital and Hengshui People's Hospital from April 2018 to July 2023 were retrospectively analyzed,including 98 cases with epithelial ovarian cancer and 2 cases with non-epithelial ovarian cancer.The fasting venous blood pre operation of patients was extracted in morning.The serum HE4 level was detected by enzyme-linked immunosorbent assay(ELISA).The 2D ultrasound examination was performed one week before surgery to measure the resistance index(RI),pulse index(PI),peak systolic flow velocity(PSV)and end-diastolic flow velocity(EDV)of ovarian artery.All patients were followed up immediately after they completed the last chemotherapy.All of patients were divided into a death group(n=27)and a survival group(n=73)according to their survival situation.Cox regression risk model was used to analyze prognostic influence factors of patients with ovarian cancer.Results:The serum HE4 level[449.37(28.57,2 382.24)]pmol/L in patients with epithelial ovarian cancer was significantly higher than that[55.38(17.33,79.64)]pmol/L in patients with non-epithelial ovarian cancer(U=24.752,P＜0.05).The RI,PSV and PI of ultrasonic parameters of patients with epithelial ovarian cancer were higher than those of patients with non-epithelial ovarian cancer(t=3.640,2.152,2.588,P＜0.05),respectively.The area under curve(AUC)of the receiver operating characteristic(ROC)curve of HE4 combined with 2D ultrasound for vagina was 0.936(95%CI:0.821-1.000)in identifying epithelial and non-epithelial ovarian cancer,which was larger than that of alone each examination.The ratio of the age≥60 years old,the ratio of the III-IV staging of Federation International of Gynecology and Obstetrics(FIGO),and the ratio of existing surrounding infiltration in the death group were all higher than those in the survival group,and the serum HE4 level[528.75(34.79,1 932.43)]pmol/L was higher than that[138.23(21.49,872.59)]pmol/L of the survival group,and the difference was significant(U=25.963,P＜0.05).The PSV and EDV values of the death group were all larger than those of the survival group(t=10.844,17.744,P＜0.05),and the RI and PI were all less than those of the survival group(t=19.085,13.099,P＜0.05).FIGO Ⅲ-Ⅳ staging,surrounding infiltration,HE4 level≥398.74 pmol/L,RI＜0.31,PI＜0.54,PSV≥26.12 cm/s,EDV≥16.47 cm/s were all risk factors for the prognosis of patients with ovarian cancer(HR=2.682,2.347,2.296,2.518,2.235,2.124,1.958,P＜0.05).Conclusion:HE4 combined with 2D ultrasound for vagina can improve the diagnostic accuracy of pathological classification for ovarian cancer,and can be used as an important tool to predict the prognosis of patients with ovarian cancer.

This study aims to screen the diagnostic biomarkers for fecal antigen of Echinococcus granulosus(E.granulosus)in dogs with high specificity and sensitivity.The sheep-derived EgPSC artificially infected dogs were collected,and the negative and positive fecal samples of dogs with E.granulosus were prepared by arecoline hydrobromide leakage method.Polyclonal antibody,negative fecal antigen-polyclonal antibody conjugates and positive fecal antigen-polyclonal antibody conju-gates were purified by ammonium sulfate precipitation and affinity chromatography,three groups of samples were detected by ELISA and Western blot,LC-MS/MS and bioinformatics analysis were performed on the three groups of samples.The positive fecal antigen-polyclonal antibody con-jugate was used as the treatment group,the polyclonal antibody and the negative fecal antigen-polyclonal antibody conjugates were used as the control groups to screen the unique peptides of the treatment group.ELISA and Western blot showed that only the positive fecal antigen-polyclonal antibody conjugates were positive.According to LC-MS/MS and bioinformatics analysis,11 unique peptides were screened out only in the treatment group.Among them,3 proteins were related to E.granulosus,namely dysferlin,integrator complex 9 and diagnostic antigen gp50,which were mem-brane-associated proteins,INT complex components and diagnostic antigens.This study has pre-liminarily screened out three candidate canine E.granulosus fecal antigen diagnostic markers,pro-viding a reference for further exploration of diagnostic standards for E.granulosus,screening of echinococcosis target genes,and vaccine development.

Objective:To verify the efficacy of VELscope autofluorescence examination technology in the early warning of potential oral malignant diseases.Methods:80 patients with suspected dysplasia were included and underwent oral examination,visually en-hanced lesion scope(VELscope)autofluorescence examination and histopathology examination respectively,the fluorescence imaging results were compared with the histopathological results.Results:Pathological reports showed 64 cases with mild or no dysplasia,9 cases with moderate or severe dysplasia,1 case with moderate dysplasia without malignant transformation and 6 cases with cancer.The results of VELscope showed that there were 73 positive cases and negative 7 cases of fluorescence deletion.The sensitivity and specificity of VELscope were 93.75％and 9.37％respectively,and the sensitivity could reach 100％in the cancerous tissue.Con-clusion:As a non-invasive examination method,VELscope is highly sensitive but lowly specific.

This study aims to screen the diagnostic biomarkers for fecal antigen of Echinococcus granulosus(E.granulosus)in dogs with high specificity and sensitivity.The sheep-derived EgPSC artificially infected dogs were collected,and the negative and positive fecal samples of dogs with E.granulosus were prepared by arecoline hydrobromide leakage method.Polyclonal antibody,negative fecal antigen-polyclonal antibody conjugates and positive fecal antigen-polyclonal antibody conju-gates were purified by ammonium sulfate precipitation and affinity chromatography,three groups of samples were detected by ELISA and Western blot,LC-MS/MS and bioinformatics analysis were performed on the three groups of samples.The positive fecal antigen-polyclonal antibody con-jugate was used as the treatment group,the polyclonal antibody and the negative fecal antigen-polyclonal antibody conjugates were used as the control groups to screen the unique peptides of the treatment group.ELISA and Western blot showed that only the positive fecal antigen-polyclonal antibody conjugates were positive.According to LC-MS/MS and bioinformatics analysis,11 unique peptides were screened out only in the treatment group.Among them,3 proteins were related to E.granulosus,namely dysferlin,integrator complex 9 and diagnostic antigen gp50,which were mem-brane-associated proteins,INT complex components and diagnostic antigens.This study has pre-liminarily screened out three candidate canine E.granulosus fecal antigen diagnostic markers,pro-viding a reference for further exploration of diagnostic standards for E.granulosus,screening of echinococcosis target genes,and vaccine development.

Objective:To verify the efficacy of VELscope autofluorescence examination technology in the early warning of potential oral malignant diseases.Methods:80 patients with suspected dysplasia were included and underwent oral examination,visually en-hanced lesion scope(VELscope)autofluorescence examination and histopathology examination respectively,the fluorescence imaging results were compared with the histopathological results.Results:Pathological reports showed 64 cases with mild or no dysplasia,9 cases with moderate or severe dysplasia,1 case with moderate dysplasia without malignant transformation and 6 cases with cancer.The results of VELscope showed that there were 73 positive cases and negative 7 cases of fluorescence deletion.The sensitivity and specificity of VELscope were 93.75％and 9.37％respectively,and the sensitivity could reach 100％in the cancerous tissue.Con-clusion:As a non-invasive examination method,VELscope is highly sensitive but lowly specific.

BACKGROUND:Programmed cell death protein 1 belongs to the immunoglobulin gene superfamily and can regulate the differentiation of osteoblasts and affect bone homeostasis.However,there are few studies on the regulatory role and mechanism of programmed cell death protein 1 in diabetic osteoporosis.OBJECTIVE:To investigate the regulatory role and mechanism of programmed cell death protein 1 on osteogenic differentiation of rat bone marrow mesenchymal stem cells under high-glucose environment.METHODS:(1)Animal experiment:A total of 12 Sprageu-Dawley rats were randomized into a control group(n=6)and a model group(n=6).The control group was fed routinely,whereas the model group was injected intraperitoneally with streptozotocin to establish a model of type 1 diabetes mellitus,and the high-fat feed was fed for 8 weeks to establish a model of type 1 diabetic osteoporosis.After 8 weeks of feeding,the femurs of rats in the two groups were taken and subjected to hematoxylin-eosin staining and micro-CT assay.The mRNA expression of programmed cell death protein 1 and programmed death ligand 1 was detected.(2)Cell experiment:Passage 3 rat bone marrow mesenchymal stem cells were randomly divided into four groups:normal control group,high-glucose model group cultured in low glucose medium,programmed cell death protein 1-silenced group transfected with programmed cell death protein 1 siRNA,and programmed cell death protein 1-silenced null group transfected with siRNA-NC.After 48 hours of transfection,the normal control group was cultured in a new low-glucose medium,and the other three groups were cultured in a high-glucose medium for another 48 hours of culture followed by osteogenic induction.After 21 days of osteogenic induction,alizarin red staining,and qRT-PCR(programmed cell death protein 1 and RUNX2 mRNA expression)and western blot(β-catenin,GSK-3β,p-GSK-3β and Axin2 protein expression)were performed.RESULTS AND CONCLUSION:In the animal experiment,hematoxylin-eosin staining and micro-CT assay showed successful modeling of type 1 diabetic osteoporosis in the model group.qRT-PCR assay showed that the mRNA expression of programmed cell death protein 1 and programmed cell death ligand 1 was higher in the model group than the control group(P<0.05).In the cell experiment,the results of alizarin red staining showed that the ability of mineralized nodule formation was lower in the high-glucose model group and the programmed cell death protein 1-silenced null group than in the control group and the programmed cell death protein 1-silenced group.Compared with the normal control group,the programmed cell death protein 1 mRNA expression and GSK3β and Axin2 protein expression were elevated in the high-glucose model group and the programmed cell death protein 1-silenced null group(P<0.05),and the RUNX2 mRNA expression and p-GSK3β and β-catenin protein expression were decreased(P<0.05).Compared with the high-glucose model group and the programmed cell death protein 1-silenced null group,programmed cell death protein 1 mRNA expression and GSK3β and Axin2 protein expression were decreased in the programmed cell death protein 1-silenced group(P<0.05),and RUNX2 mRNA expression and p-GSK3β and β-catenin protein expression were elevated(P<0.05).To conclude,programmed cell death protein 1 silencing can activate the Wnt/β-catenin and improve the osteogenic differentiation of rat bone marrow mesenchymal stem cells under high-glucose conditions.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.