Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

Objective:To explore the value of the deep learning model based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI in preoperatively predicting vessels completely encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).Methods:This study adopted a case-control design to retrospectively analyze 420 patients with HCC confirmed by postoperative pathology who underwent Gd-EOB-DTPA enhanced MRI between June 2016 and March 2023. A total of 420 patients were divided into a training set ( n=305) from the First Affiliated Hospital of Soochow University and an external validation set ( n=115) from Affiliated Nantong Hospital 3 of Nantong University. Based on postoperative pathological findings, patients were stratified into VETC-positive and VETC-negative groups. The training set comprised 161 VETC-positive cases and 144 VETC-negative cases, while the external validation set included 55 VETC-positive cases and 60 VETC-negative cases. Tumor regions of interest in arterial, portal venous, and hepatobiliary phases were manually delineated using ITK-SNAP software. Pre-trained Vgg19, Densenet121, and Vision Transformer (ViT) models were employed for transfer learning, extracting deep learning features from each image. Feature data were processed using FAE software, and 12 logistic regression models (arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase models) were constructed to select the optimal deep learning model. Independent predictors in clinical characteristics were identified through univariate and multivariate logistic analyses to establish a clinical model for predicting VETC pattern. Subsequently, a clinical-deep learning fusion model was developed by integrating these clinical predictors with the optimal deep learning features. Model performance in predicting VETC-positive HCC was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Results:In the external validation set, the area under the curve (AUC) of the Vgg19 model in the arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase, respectively were 0.799,0.756,0.789,0.821, which were higher than those of Densenet121 (AUC: 0.544,0.581,0.544,0.583) and ViT (AUC: 0.740,0.752,0.785,0.767) model. The three-phase combined Vgg19 model achieved the highest AUC of 0.821 (95% CI 0.746-0.897). Multivariate logistic regression identified alpha-fetoprotein level ( OR=1.826,95% CI 1.069-3.120, P=0.028) and tumor diameter ( OR=1.329,95% CI 1.206-1.466, P<0.001) as independent predictors of VETC-positive HCC, forming the clinical model with an AUC of 0.789 (95% CI 0.703-0.859). The clinical-deep learning fusion model further achieved the AUC of 0.825 (95% CI 0.749-0.900). Calibration curves confirmed high concordance between predicted and actual probabilities for the three-phase Vgg19 model, while DCA revealed greater net clinical benefit for the combined Vgg19 and fusion models compared with the clinical model alone. Conclusions:The deep learning model based on Gd-EOB-DTPA enhanced MRI can be used to predict VETC of HCC preoperatively, among which the three-phase combined Vgg19 model and the clinical-deep learning model provide high predictive value.

Objective:To investigate the predictive value of perirenal fat thickness(PrFT)of the assessment of computed tomography(CT)for vascular access-related events of elderly patients who received maintenance hemodialysis(MHD).Methods:A total of 160 MHD patients admitted to The 904th Hospital of People's Liberation Army Joint Service Support Force(Wuxi Taihu Hospital)from January 2021 to December 2023 were retrospectively selected.They were divided into event group(53 cases)and non-event group(107 cases)according to whether occurred vascular access-related events.Univariate and binary Logistics regression were used to analyze the influencing factors for vascular access-related events in MHD patients.Receiver operating characteristic(ROC)curve was used to evaluate the predictive value of PrFT for vascular access-related events of elderly MHD patients,and Pearson correlation was used to analyze the correlation among platelet(PLT)count,mean platelet volume(MPV)and PrFT.Results:There were statistically significant differences in PLT count,MPV and PrFT between the event group and non-event group(t=7.068,4.843,10.572,P<0.05),and the Binary Logistics regression analysis showed that PLT,MPV and PrFT were the influential factors for vascular access-related events of MHD patients(OR=0.963,2.483,1.284,P<0.05).ROC curve analysis showed that the area under curve(AUC)of ROC curve of PrFT was 0.880 in prediction,and the sensitivity and specificity of that were respectively 95.00%and 58.88%.According to Pearson's linear correlation analysis,PrFT was negatively correlated with PLT(r=-0.341,P<0.001),which was positively correlated with MPV(r=0.245,P<0.05).Conclusion:The PrFT of CT assessment has better predictive value in vascular access-related events of elderly MHD patients.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

Objective:To explore the value of the deep learning model based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI in preoperatively predicting vessels completely encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).Methods:This study adopted a case-control design to retrospectively analyze 420 patients with HCC confirmed by postoperative pathology who underwent Gd-EOB-DTPA enhanced MRI between June 2016 and March 2023. A total of 420 patients were divided into a training set ( n=305) from the First Affiliated Hospital of Soochow University and an external validation set ( n=115) from Affiliated Nantong Hospital 3 of Nantong University. Based on postoperative pathological findings, patients were stratified into VETC-positive and VETC-negative groups. The training set comprised 161 VETC-positive cases and 144 VETC-negative cases, while the external validation set included 55 VETC-positive cases and 60 VETC-negative cases. Tumor regions of interest in arterial, portal venous, and hepatobiliary phases were manually delineated using ITK-SNAP software. Pre-trained Vgg19, Densenet121, and Vision Transformer (ViT) models were employed for transfer learning, extracting deep learning features from each image. Feature data were processed using FAE software, and 12 logistic regression models (arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase models) were constructed to select the optimal deep learning model. Independent predictors in clinical characteristics were identified through univariate and multivariate logistic analyses to establish a clinical model for predicting VETC pattern. Subsequently, a clinical-deep learning fusion model was developed by integrating these clinical predictors with the optimal deep learning features. Model performance in predicting VETC-positive HCC was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Results:In the external validation set, the area under the curve (AUC) of the Vgg19 model in the arterial phase, portal venous phase, hepatobiliary phase, and combined three-phase, respectively were 0.799,0.756,0.789,0.821, which were higher than those of Densenet121 (AUC: 0.544,0.581,0.544,0.583) and ViT (AUC: 0.740,0.752,0.785,0.767) model. The three-phase combined Vgg19 model achieved the highest AUC of 0.821 (95% CI 0.746-0.897). Multivariate logistic regression identified alpha-fetoprotein level ( OR=1.826,95% CI 1.069-3.120, P=0.028) and tumor diameter ( OR=1.329,95% CI 1.206-1.466, P<0.001) as independent predictors of VETC-positive HCC, forming the clinical model with an AUC of 0.789 (95% CI 0.703-0.859). The clinical-deep learning fusion model further achieved the AUC of 0.825 (95% CI 0.749-0.900). Calibration curves confirmed high concordance between predicted and actual probabilities for the three-phase Vgg19 model, while DCA revealed greater net clinical benefit for the combined Vgg19 and fusion models compared with the clinical model alone. Conclusions:The deep learning model based on Gd-EOB-DTPA enhanced MRI can be used to predict VETC of HCC preoperatively, among which the three-phase combined Vgg19 model and the clinical-deep learning model provide high predictive value.

Objective:To investigate the predictive value of perirenal fat thickness(PrFT)of the assessment of computed tomography(CT)for vascular access-related events of elderly patients who received maintenance hemodialysis(MHD).Methods:A total of 160 MHD patients admitted to The 904th Hospital of People's Liberation Army Joint Service Support Force(Wuxi Taihu Hospital)from January 2021 to December 2023 were retrospectively selected.They were divided into event group(53 cases)and non-event group(107 cases)according to whether occurred vascular access-related events.Univariate and binary Logistics regression were used to analyze the influencing factors for vascular access-related events in MHD patients.Receiver operating characteristic(ROC)curve was used to evaluate the predictive value of PrFT for vascular access-related events of elderly MHD patients,and Pearson correlation was used to analyze the correlation among platelet(PLT)count,mean platelet volume(MPV)and PrFT.Results:There were statistically significant differences in PLT count,MPV and PrFT between the event group and non-event group(t=7.068,4.843,10.572,P<0.05),and the Binary Logistics regression analysis showed that PLT,MPV and PrFT were the influential factors for vascular access-related events of MHD patients(OR=0.963,2.483,1.284,P<0.05).ROC curve analysis showed that the area under curve(AUC)of ROC curve of PrFT was 0.880 in prediction,and the sensitivity and specificity of that were respectively 95.00%and 58.88%.According to Pearson's linear correlation analysis,PrFT was negatively correlated with PLT(r=-0.341,P<0.001),which was positively correlated with MPV(r=0.245,P<0.05).Conclusion:The PrFT of CT assessment has better predictive value in vascular access-related events of elderly MHD patients.

Objective:To explore the effect of intraparathyroid injection of 1,25 bishydroxyvitamin D3[1,25(OH)2D3]under the guidance of B-mode ultrasound on calcium-phosphorus metabolism and muscle function of patients with hyperparathyroidism associated with vitamin D deficiency and(or)insufficiency.Methods:A total of 60 patients with hyperparathyroidism associated with vitamin D deficiency and(or)insufficiency who were diagnosed at the 904th hospital of People's Liberation Army Joint Service Support Force from January 2020 to June 2022 were selected,and they were divided into observation group and control group according to random number table,with 30 cases in each group.Patients in the observation group received intraparathyroid injection of 1,25(OH)2D3,and those in the control group received oral 1,25(OH)2D3.Before and after 2 weeks of treatment,the characteristics of ultrasound images of two groups were observed,and the calcium-phosphorus level,parathyroid hormone(PTH),alkaline phosphatase(ALP),25 hydroxyvitamin D(25 OHD),1,25(OH)2D3,and urinary calcium(UCa)and urinary phosphorus(UP)at 24h of them were detected.In addition,the skeletal muscle strengths and functions of the two groups were measured.Results:Before treatment,ultrasound images showed the dorsal side of the inferior pole of left lobe of thyroid gland were hypoechoic lesion,and they appeared uniform high enhancement at the arterial phase.After treatment,there was no significant enhancement in the arterial phase of the lesion,which appeared"cavity".The blood calcium levels[(2.06±0.11)mmol/L and(2.21±0.12)mmol/L]of observation group and control group after treatment were significantly higher than those[(1.92±0.02)mmol/L and(1.93±0.03)mmol/L]before treatment,while the blood phosphorus levels[(0.92±0.11)mmol/L and(1.11±0.07)mmol/L]of them after treatment were significantly lower than those[(1.24±0.02)mmol/L and(1.25±0.03)mmol/L]before treatment,and the differences were significant(t=6.859,12.399,15.677,10.069,P<0.05),respectively.Both blood calcium level and blood phosphorus level after treatment of observation group were significantly lower than those of control group,and the differences were statistically significant(t=5.047,7.982,P<0.05),respectively.The PTH and ALP levels of two groups after treatment were significantly lower than those before treatment,and the PTH and ALP levels after treatment of observation group were significantly lower than those of control group,and the differences were statistically significant(t=28.125,12.605,P<0.05),respectively.The blood 25OHD,1,25(OH)2D3 and UCa level at 24 h of two groups after treatment were significantly higher than those before treatment,while the UP level at 24-hour after treatment was lower than that before treatment.The blood 25OHD,1,25(OH)2D3 and UCa at 24 h after treatment in observation group were significantly higher than those in control group,while the UP level at 24h after treatment in observation group was significantly lower than that in control group,with statistical significance(t=9.6763,5.269,45.086,3.387,P<0.05),respectively.The bone density values of L1-4 and femoral neck of two groups after treatment were significantly higher than those before treatment,and the bone density values of L1-4 and femoral neck after treatment in observation group were significantly higher than those in control group,with statistical significance(t=26.944,2.355,P<0.05).The grip strength and walking speed of the skeletal muscles of two groups after treatment were significantly higher than those before treatment,and the above indicators after treatment in the observation group were significantly higher than those in the control group,with statistical significance(t=2.711,3.093,P<0.05),respectively.Conclusion:There will be calcification in the gland of patient with hyperparathyroidism associated with vitamin D deficiency and(or)insufficiency,whose ultrasound appearance is strong echo with different shapes.B-mode ultrasound-guided intraparathyroid injection of 1,25(OH)2D3 can reduce the incidence of fracture.

Objective:To analyze the Chinese thyroid imaging reporting and data system (C-TIRADS) classification combined with ultrasonic shear wave elastography (SWE) and super microvascular imaging technology (SMI) in the diagnosis of benign and malignant thyroid nodules.Methods:Clinical data of 125 patients undergoing thyroid nodule surgery in the Department of Ultrasound Medicine, Shantou Central Hospital were retrospectively analyzed. There were 35 males and 90 females. The disease duration was (3.45±1.32) years, ranging from 3 months to 7 years; the age was (55.45±3.31) years old, ranging from 25 to 70 years old; the maximum diameter of the nodule is (12.13±5.76) mm, ranging from 5.0 to 42.9 mm. C-TIRADS classification, SWE, SMI and pathological diagnosis results of ultrasonic nodules in patients were analyzed. The diagnostic performance of C-TIRADS classification, SWE, SMI and combined diagnosis of malignant nodules were analyzed. SPSS 21.0 software was used to analyze the data, and the measurement data were consistent with the normal Statistical distribution, independent t test was performed for comparison between two groups; count data were expressed as rate (%), and χ2 test was used. Results:A total of 180 lesions were detected this time. According to pathological diagnosis, there were 114 benign nodules and 66 malignant nodules; the malignant percentage of C-TIRADS 4B nodules was the highest, reaching 72.00% (36/50) ; Emix of malignant nodules, Emax and Emean were (15.98±6.56) kPa, (84.22±24.23) kPa and (63.29±15.89) kPa respectively, which were significantly higher than those of benign nodules (13.56±4.68) kPa, (48.33±14.46) kPa and (37.32±12.63kPa) ( t=2.49, 8.76, 9.07, P<0.05) ; Type IV malignancy accounted for the highest proportion in SMI classification of thyroid nodules, which was 78.95%; the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the joint diagnosis were 94.64%, 92.85%, 94.64%, 42.85%, 90.16%, higher than the single C-TIRADS classification (89.65%, 75.00%, 89.65%, 37.50%, 80.55%), SMI (82.35%, 55.56%, 89.36%, 32.60%, 78.33%), and SWE diagnosis (81.08%, 56.00%, 90.22%, 28.57%, 77.22%). The difference was statistically significant ( P<0.05) . Conclusions:Compared with the diagnostic efficiency of SWE, SMI and C-TIRADS classification alone, the combined use of the three has higher diagnostic efficiency for benign and malignant thyroid nodules. The abuse of invasive procedures can be reduced or avoided.

Objective To explore the correlation between the diameter of patients'autologous tendon and the prognosis of anterior cruciate ligament(ACL)reconstruction surgery.Methods From October 2018 to October 2023,82 patients who underwent anterior cruciate ligament reconstruction surgery at Wuxi No.904 Hospital were selected.Based on whether complications occurred after the anterior cruciate ligament reconstruction surgery,they were divided into a group with good prognosis(n=64)and a group with poor prognosis(n=18).Performing univariate analysis on the prognosis of anterior cruciate ligament reconstruction surgery.Pearson correlation analysis was used to analyze the relationship between tendon diameter and prognosis.A multifactorial Logistic regression model was applied to analyze the factors influencing the prognosis of ACL reconstruction and construct a nomogram.The diagnostic efficacy of tendon diameter on the prognosis of ACL reconstruction was analyzed using the receiver operating characteristic(ROC)curve.Results The results of the univariate analysis showed that there were statistically significant differences in gender and age between the two groups(P＜0.05).The tendon diameter and cross-sectional area in the group with a good prognosis were higher than those in the group with a poor prognosis(P＜0.05).Post-treatment,the Lysholm,Tegner,and IKDC scores in the group with a good prognosis were higher than those in the group with a poor prognosis(P＜0.05).Pearson correlation analysis showed a significant positive correlation between the patient's tendon diameter and Lysholm,Tegner,and IKDC scores(r=0.417,0.411、0.446,P＜0.05).Logistic analysis indicated that gender,age,tendon diameter,and tendon cross-sectional area are factors affecting the prognosis of ACL reconstruction(P＜0.05).The ROC curve results showed that the combined diagnostic effect of gender,age,tendon diameter,and cross-sectional area is significantly better than any single factor alone.Conclusion There is a significant correlation between the patient's autologous tendon diameter and the prognosis of ACL reconstruction surgery.An increase in autologous tendon diameter enhances knee joint function and improves patient prognosis.

Purpose To evaluate the carotid artery elasticity and the influencing factors in the offspring of early-onset type 2 diabetes mellitus by RF-data based quantitative analysis on vessel stiffness.Materials and Methods We continuously encrolled 63 offspring of type 2 diabetes mellitus,depending on the parental diagnostic age of diabetes they were divided into two groups:32 cases of early-onset offspring group,31 cases of late-onset offspring group.32 healthy volunteers who were matched for age,gender and body mass index,were selected as controls.Real-time intima-media thickness and RF-data based quantitative analysis on vessel stiffness were employed to evaluate common carotid intima-media thickness,displacement,diameter,hardness coefficient and pulse wave velocity.The differences among the groups were compared.Results The intima-media thickness,pulse wave velocity and hardness coefficient in early-onset offspring group were higher than late-onset offspring group(t=0.054-1.228,P＜0.05),and displacement was lower than late-onset offspring group(t=0.048,0.109,both P＜0.05).Conclusion Carotid artery stiffness in the offspring of diabetes mellitus patients is significantly higher than the control group.And the carotid elasticity of early-onset offspring group decreased more obviously than late-onset group.