Objective:To investigate the relationship between the cerebral small vascular disease (CSVD) total burden and the imaging markers and the degree of unilateral middle cerebral artery (MCA) stenosis.Methods:The study was a cross-sectional study. Clinical and imaging data of patients with chronic unilateral MCA stenosis who underwent multimodal MRI from October 2015 to January 2019 in the First Medical Center of PLA General Hospital were retrospectively analyzed. A total of 261 patients were included, 187 males and 74 females. According to the degree of MCA stenosis, the patients were divided into 102 cases in severe stenosis-occlusion group (stenosis degree ≥70%) and 159 cases in mild-moderate stenosis group (stenosis degree <70%). CSVD imaging marker scores (including white matter hyperintensity, perivascular space, cerebral microbleed, and lacune of presumed vascular origin) were assessed according to the ?standards for reporting vascular changes on neuroimaging 1 in the 2 groups, and the CSVD total burden score was calculated. Mann-Whitney U test was used to compare the indicators between the two groups, and the CSVD total burden score and imaging marker scores were ultimately included in a multifactorial binary logistic regression to assess the association of CSVD imaging markers with severe stenosis-occlusion of the MCA after adjusting for vascular risk factors (age, gender, drinking, smoking, hypertension, hyperlipidemia, atrial fibrillation and coronary heart disease). Results:There were significant differences in the CSVD total burden, centrum semiovale perivascular space and lacune of presumed vascular origin score between the mild-to-moderate stenosis group and the severe stenosis-occlusion group (all P<0.05), and none of the differences in the remaining imaging marker scores were statistically significant (all P>0.05). Multivariate binary logistics regression analysis showed CSVD total burden score ( OR=1.300, 95% CI 1.047-1.613, P=0.017), centrum semiovale perivascular space score ( OR=2.099, 95% CI 1.540-2.860, P<0.001) and lacune of presumed vascular origin score ( OR=2.609, 95% CI 1.294-5.261, P=0.007) were independent associated with severe stenosis-occlusion of MCA. Conclusion:The higher CSVD total burden score, centrum semiovale perivascular space score and lacune of presumed vascular origin score are associated with severe stenosis-occlusion of MCA.

Objective:To assess the value of cerebral small vessel disease (CSVD) burden in predicting prognosis in acute ischemic stroke (AIS) patients with anterior circulation large vessel occlusion (LVO) after endovascular therapy (EVT).Methods:The study was a cross-sectional study. A total of 242 patients with AIS due to anterior circulation LVO received EVT in the First Affiliated Hospital of Nanjing Medical University from February 2018 to September 2022. The clinical and imaging data of all patients were analyzed retrospectively. On follow-up MRI within 7 days after EVT, CSVD features [white matter hyperintensity (WMH), lacune, perivascular space, cerebral microbleed, cerebral atrophy] and CSVD burden score (0-5) was evaluated. Modified Rankin scale (mRS) score at 90 days after EVT was assessed. Patients were categorized into a mild burden group (0-1 points) and a moderate-severe burden group (2-5 points) based on CSVD burden score. Meanwhile, patients were categorized into a good prognosis group (0-2 points) and a bad prognosis group (3-6 points) based on mRS score at 90 days after EVT. Mann-Whitney U test and χ2 test were used to compare the difference of clinical and imaging indexes between the 2 groups, and variables with P<0.1 in the univariate analysis were included in the multifactorial logistic regression to screen for independent factors to predict the prognosis. Results:There were 169 patients in the good prognosis group and 73 patients in the bad prognosis group out of 242 patients. Compared with the good prognosis group, age, incidence of hyperlipidemia, baseline National Institutes of Health Stroke Scale (NIHSS) scores, incidence of hemorrhagic conversion, CSVD burden scores, incidence of periventricular WMH scores of 3 and/or deep WMH scores≥2, and incidence of moderate-severe cerebral atrophy of patients in the bad prognosis group were higher, and the incidence of complete recanalization was lower (all P<0.05). Multivariate analysis showed hyperlipemia ( OR=8.438, 95% CI 1.691-42.119, P=0.009), baseline NIHSS score ( OR=1.103, 95% CI 1.047-1.162, P<0.001), complete recanalization ( OR=0.131, 95% CI 0.038-0.454, P=0.001) and hemorrhage transformation ( OR=1.952, 95% CI 1.031-3.697, P=0.040) were independent factors for the prognosis of EVT in patients with LVO AIS. There were 157 cases in the mild burden group and 85 cases in the moderate-severe burden group. The 90-day mRS score was higher in the moderate-severe burden group compared with the mild burden group ( Z=-2.24, P=0.025). Conclusion:CSVD burden has some clinical implications in predicting the prognosis of EVT in patients with anterior circulation LVO AIS.

Objective:To investigate the influencing factors for total number, total volume, and total iron burden of cerebral microbleeds (CMBs) and the relationship between CMBs with cognitive impairment in end-stage renal disease (ESRD) using semi-automatic quantitative susceptibility mapping (QSM).Methods:The study was a cross-sectional study. Clinical and imaging data of 46 ESRD patients with≥1 CMBs who attended Tianjin First Central Hospital from November 2018 to August 2022 were retrospectively analyzed. There were 26 males and 20 females, aged 42-75 years. All patients underwent susceptibility-weighted imaging (SWI) scanning, then SWI data was post-processed to obtain QSM. The semi-automatic dynamic programming algorithm was used to get the volume and mean susceptibility value of each CMB by sketching the boundary of CMBs. The CMBs iron load total volume were calculated. Stepwise linear regression analysis was used to explore independent influencing factors for the number, total volume, and total iron burden of CMBs in ESRD patients. Partial correlation analysis was used to explore the relationship between CMBs and cognitive impairment with the other signs of cerebral small vessel diseases as covariates.Results:In patients with ESRD, CMBs were located in the frontal lobe in 19 cases, parietal lobe in 9 cases, temporal lobe in 19 cases, occipital lobe in 14 cases, basal ganglia in 27 cases, dorsal thalamus in 15 cases, centrum semiovale in 14 cases, cerebellum in 14 cases, and brainstem in 13 cases. C-reactive protein levels (95% CI 101.81-157.85, r=0.96, P=0.001) and creatinine levels (95% CI 5.32-29.61, r=0.71, P=0.010) were influencing factors for the total iron burden of CMBs. C-reactive protein levels (95% CI 0.72-1.15, r=0.99, P=0.001) and creatinine levels (95% CI 0.03-0.22, r=0.89, P=0.014) were influencing factors for the total volume of CMBs. C-reactive protein levels (95% CI 0.10-0.12, r=0.96, P=0.001) and alkaline phosphatase levels (95% CI 0.16-0.38, r=0.59, P=0.001) were influencing factors for the number of CMBs. The total volume ( r=-0.61, P=0.009) and total iron burden ( r=-0.71, P=0.002) of CMBs in the frontal lobe were negatively correlated with cognitive function. However, although the number of CMBs in the frontal lobe was negatively correlated with cognitive function, the statistics analysis was insignificant ( r=-0.53, P=0.063). Conclusions:C-reactive protein and creatinine are influencing factors for CMBs′ total volume and total iron burden; C-reactive protein levels and alkaline phosphatase are influencing factors for the number of CMBs. The total iron burden and total volume of CMBs in the frontal lobe may be the biomarkers of cognitive impairment in patients with end-stage renal disease.

Objective:To investigate the value of CT radiomic model based on analysis of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer in differentiating stage T1-2 from stage T3-4 gastric cancer.Methods:This study was a case-control study. Totally 465 patients with gastric cancer treated in Affiliated People′s Hospital of Jiangsu University from December 2011 to December 2019 were retrospectively collected. According to postoperative pathology, they were divided into 2 groups, one with 150 cases of T1-2 tumors and another with 315 cases of T3-4 tumors. The cases were divided into a training set (326 cases) and a test set (139 cases) by stratified sampling method at 7∶3. There were 104 cases of T1-2 stage and 222 cases of T3-4 stage in the training set, 46 cases of T1-2 stage and 93 cases of T3-4 stage in the test set. The axial CT images in the venous phase during one week before surgery were selected to delineate the region of interest (ROI) at the primary lesion and the extramural gastric adipose tissue adjacent to the cancer areas. The radiomic features of the ROIs were extracted by Pyradiomics software. The least absolute shrinkage and selection operator was used to screen features related to T stage to establish the radiomic models of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer. Independent sample t test or χ2 test were used to compare the differences in clinical features between T1-2 and T3-4 patients in the training set, and the features with statistical significance were combined to establish a clinical model. Two radiomic signatures and clinical features were combined to construct a clinical-radiomics model and generate a nomogram. The area under the receiver operating characteristic curve (AUC) was used to evaluate the efficacy of each model in differentiating stage T1-2 from stage T3-4 gastric cancer. The calibration curve was used to evaluate the consistency between the T stage predicted by the nomogram and the actual T stage of gastric cancer. And the decision curve analysis was used to evaluate the clinical net benefit of treatment guided by the nomogram and by the clinical model. Results:There were significant differences in CT-T stage and CT-N stage between T1-2 and T3-4 patients in the training set ( χ2=10.59, 15.92, P=0.014, 0.001) and the clinical model was established. After screening and dimensionality reduction, the 5 features from primary gastric cancer and the 6 features from the adipose tissue outside the gastric wall beside cancer established the radiomic models respectively. In the training set and the test set, the AUC values of the primary gastric cancer radiomic model were 0.864 (95% CI 0.820-0.908) and 0.836 (95% CI 0.762-0.910), and the adipose tissue outside the gastric wall beside cancer radiomic model were 0.782 (95% CI 0.731-0.833) and 0.784 (95% CI 0.702-0.866). The AUC values of the clinical model were 0.761 (95% CI 0.705-0.817) and 0.758 (95% CI 0.671-0.845), and the nomogram were 0.876 (95% CI 0.835-0.917) and 0.851 (95% CI 0.781-0.921). The calibration curve reflected that there was a high consistency between the T stage predicted by the nomogram and the actual T stage in the training set ( χ2=1.70, P=0.989). And the decision curve showed that at the risk threshold 0.01-0.74, a higher clinical net benefit could be obtained by using a nomogram to guide treatment. Conclusions:The CT radiomics features of primary gastric cancer lesions and the adipose tissue outside the gastric wall beside cancer can effectively distinguish T1-2 from T3-4 gastric cancer, and the combination of CT radiomic features and clinical features can further improve the prediction accuracy.

Objective:To investigate the predictive ability of Glypican-3 (GPC3) positive hepatocellular carcinoma based on the hepatobiliary specific contrast agent gadoxetate disodium enhancement of the liver imaging reporting and data system version 2018 (LI-RADS v2018) imaging features, and to assess the relevant clinical imaging features for postoperative recurrence in GPC3 positive HCC patients.Methods:This study was a cohort study. A total of 122 hepatocellular carcinoma patients who underwent gadoxetate disodium enhanced MRI examination with hepatic tumor resection in Henan Provincial People′s Hospital from January 2017 to December 2021 were retrospectively collected, including 96 GPC3 positive and 26 GPC3 negative patients. The imaging features defined by LI-RADS v2018 of HCC lesions were analyzed. Patients were followed up for 40 months to determine recurrence free survival (RFS). The logistic regression was used to analyze the risk factors of GPC3 positivity. An imaging model, and a clinical-imaging model which combined the patient′s alpha-fetoprotein levels were constructed. The efficacy of the model for predicting GPC3 positivity was assessed using receiver operating characteristic curves. Kaplan-Meier method was used to draw the survival curve, and the log-rank test was used to compare the RFS between GPC3 positive and negative patients. Risk factors affecting the recurrence of GPC3 positive HCC were assessed by Cox regression.Results:The results of logistic multivariate regression analysis confirmed that rim enhancement ( OR=5.685, 95% CI 1.229-26.287, P=0.026) and irregular tumor margin at hepatobiliary phase ( OR=4.431, 95% CI 1.684-11.663, P=0.003) were independent risk factors for GPC3 positive HCC. The area under the curve for predicting GPC3 positivity was 0.745 (95% CI 0.636-0.854) for the imaging model and 0.776 (95% CI 0.677-0.876) for the clinical-imaging model. The mean RFS in the GPC3 positive group was 22 months, and it was 32 months in the negative group. There was a statistically significant difference in RFS between the two groups ( χ2=5.15, P=0.023). The multivariate Cox regression analysis showed that the arterial rim enhancement ( HR=5.460, 95% CI 1.966-15.162, P=0.001), microvascular invasion ( HR=2.402, 95% CI 1.210-4.769, P=0.012), portal vein tumor thrombus ( HR=3.226, 95% CI 1.114-9.344, P=0.031) were independent risk factors for recurrence after hepatic tumor resection for GPC3-positive HCC. Conclusions:A model based on the LI-RADS v2018 imaging features of hepatobiliary specific contrast agent gadoxetate disodium enhancement can effectively predict GPC3 positive HCC. The arterial rim enhancement, microvascular invasion and portal vein tumor thrombus are independent risk factors for postoperative recurrence of GPC3 positive HCC.

Methods:From February 2018 to January 2022, the clinical data of 1 123 patients who underwent Starclose vascular closure device, Angio-Seal and Exoseal vascular occlusion devices and Perclose ProGlide vascular suture device at femoral artery puncture hemostasis after neuro-intervention, in the Department of Interventional Radiology (Eastern District), The First Affiliated Hospital of Zhengzhou University, were retrospectively analyzed. The patients were divided into three groups based on the intervention method: the closure group (Starclose, n=271), the occlusion group (Angio-Seal, n=327 and Exoseal, n=352) and the suture group (ProGlide, n=173). Next, the hemostatic efficacy and complications associated with the three devices were analyzed and compared. Additionally, regression analysis was conducted to identify any relevant factors that may contribute to complications. Results:Three vascular hemostatic devices demonstrated effective hemostasis and the success rate were 92.6% in the closure group (Starclose), 93.4% in the occlusion group (Angio-Seal 93.0% and Exoseal 93.8%) and 89.6% in the suture group (ProGlide). There was no statistically significant difference( χ2=3.026, P=0.388). Single or multiple complications were observed in 102 patients (9.1%), including local oozing (16 cases in the closure group, 39 cases in the occlusion group, 13 cases in the suture group), local hematoma (14 cases in the closure group, 31 cases in the occlusion group, 11 cases in the suture group), pseudoaneurysm (13 cases in the closure group, 35 cases in the occlusion group, 10 cases in the suture group), local infection (2 cases in the closure group, 3 cases in the occlusion group, 1 case in the suture group). There were no statistically significant differences ( P>0.05). Moreover, serious complications such as femoral artery occlusion, embolus shedding and permanent nerve injury weren′t observed in the three groups. Multivariate logistic regression analysis revealed that overweight ( OR=1.562,95% CI 1.023—2.385, P=0.039), femoral artery with calcified plaque ( OR=1.934,95% CI 1.172-3.189, P=0.010), combined use of multiple antiplatelet drugs ( OR=1.769,95% CI 1.103—2.839, P=0.018), use of an 8F sheath( OR=2.824,95% CI 1.406—5.671, P=0.004) and the operator′s proficiency ( OR=0.508,95% CI 0.328—0.788, P=0.002) were the independent factors influencing complications, of which the first four were identified as risk-promoting factors for complications while the operator′s rich experience and high proficiency were the protective factors. Conclusions:Three hemostatic devices demonstrate effective hemostasis and comparable rates of complications at femoral artery puncture hemostasis after neuro-intervention. Overweight, femoral artery with calcified plaque, combined use of multiple antiplatelet drugs, use of an 8 F sheath and the operator′s proficiency were independent factors influencing complications.Ojective:To investigate the efficacy and complications associated with vascular suture, closure and occlusion devices at femoral artery puncture hemostasis after neuro-intervention.

Objective:To investigate the effect of time-restricted feeding (TRF) on bone marrow fat of proximal femur in obese rats induced by high-fat diet (HFD) using proton density fat fraction (PDFF).Methods:Totally 30 male Sprague-Dawley rats were stratified and randomly sampled into 6 subgroups according to body weight, with 5 rats each. Then 2 subgroups were combined into one group, and there were totally 3 groups. The rats in the control group were fed with normal diet, and the rats could eat as much as they wanted for 24 h; the rats in the HFD group were fed with high-fat diet, and the rats could eat as much as they wanted for 24 h; the rats in the HFD+TRF group were fed with high-fat diet only between 9 AM (2 h after light) and 17 PM. One subgroup of rats from each group was examined with MRI on the femur on day 28 of the experiment, and the other subgroup from each group was examined on day 56 to measure the bone marrow PDFF of proximal femur based on mDixon-Quant quantitative sequence images. The rats were executed at the end of the scanning period, and blood samples were collected to measure serum levels of leptin. One-way ANOVA or Kruskal-Wallis H test was used to compare the differences in body weight, PDFF, and serum levels of leptin among 3 groups. The LSD- t test was used for multiple comparisons. Results:On day 28 of the experiment, the differences in body weight, PDFF, and serum leptin among the 3 groups of rats were not statistically significant ( P>0.05). On day 56, the bone marrow PDFF of proximal femur of the rats in the control group, HFD group, and HFD+TRF group were (7.2±1.4)%, (9.7±2.4)%, and (11.2±3.6)%, respectively. The differences in body weight, PDFF, and serum levels of leptin among the 3 groups of rats were statistically significant ( F=6.95, P=0.010, F=5.98, P=0.007, F=4.54, P=0.034). The results of multiple comparisons showed that the body weight in the HFD group was higher than those in the control group (LSD- t=52.96, P=0.036) and the HFD+TRF group (LSD- t=82.74, P=0.003). The values of bone marrow PDFF of proximal femur in the HFD+TRF group was higher than that in the control group (LSD- t=4.01, P=0.012). The serum levels of leptin in the HFD group were higher than those in the control group (LSD- t=1.45, P=0.030) and the HFD+TRF group (LSD- t=1.62, P=0.018). Conclusion:TRF induces an increase in the values of bone marrow PDFF of proximal femur in conjunction with weight loss in obese rats induced by HFD, and the increase in bone marrow fat may be related to the decrease in serum leptin.

Objective:To investigate the consistency of myocardial extracellular volume between systole and diastole using dual-layer detector spectral CT.Methods:This was a cross-sectional study. Thirty-five patients who underwent cardiac spectral CT examination in West China Hospital of Sichuan University from April 2022 to December 2022 were retrospectively collected. Hematocrit was collected within 3 days before the CT scan. The delayed phases holographic spectral images in systole (45%) and diastole (75%) were obtained using dual-layer spectral CT. CT data were processed using a spectral post-processing workstation, and the extracellular volume (ECV) based on iodine density images, referred as CT-ECV, in systolic and diastolic phases were calculated, respectively. According to the American Heart Association′s 16-segment model of left ventricular, the standard short-axis images were constructed, and the myocardium was standardized into 16 segments at the basal, mid-cavity, and apical levels of the left ventricle. Two radiologists performed a subjective evaluation in the image quality of the CT-ECV images of the whole heart and the three sections in systole and diastole using a "five-point" scale. The ECV of the 16 segments and the whole heart in systole and diastole was calculated. The consistency of subjective evaluations between systole and diastole was assessed using Kappa statistics. Wilcoxon signed-rank tests were used to compare the differences in scores between systole and diastole. Paired sample t-test was used to compare the differences in CT-ECV scores between systole and diastole. The intraclass correlation coefficient was used to test the intra-and inter-observer consistency of CT-ECV measurements between two radiologists. P<0.05 was statistically significant. Results:There was good agreement between the two radiologists on subjective scores of CT-ECV image quality between systole and diastole ( Kappa>0.80), and there was no statistical difference in image quality among the basal, mid-cavity, and apical levels of the left ventricle and whole heart between systole and diastole ( P>0.05). The systolic and diastolic CT-ECV for the entire heart obtained through the delay phase were (33.29±3.46)% and (33.50±3.39)%, respectively, with no statistically significant difference ( t=-0.78, P=0.442). CT-ECV in systole and diastole were (34.15±3.94)% and (35.30±3.99)% for segment 8, (34.03±3.76)% and (35.46±3.74)% for segment 9, and (33.98±3.32)% and (35.05±3.98)% for segment 14, respectively. The mean values of the systolic CT-ECV of segments 8, 9 and 14 were significantly lower than those of diastolic CT-ECV ( t=-2.65, -3.26, -2.42, P=0.012, 0.003, 0.022, respectively). The ICCs for CT-ECV measurements of 16 segments by the two radiologists were greater than 0.90 in both systolic and diastolic, indicating good agreement. Conclusions:There is no significant difference in whole heart CT-ECV values between systolic and diastolic myocardial ECV based on dual-layer spectral CT. However, minor differences (less than 2%) are found between systolic and diastolic myocardial CT-ECV for some segments. Myocardial CT-ECV measurement should be performed on the same segment during the same phase to obtain stable and accurate ECV values.

Objective:To investigate the value of the virtual monoenergetic image (VMI) obtained by a new dual-layer detector spectral CT combined with metal artifact reduction algorithms(O-MAR) in reduction of different types of artifacts caused by 125I seeds implantation and in improvement of the post-operative CT image quality. Methods:This was a cross-sectional study. Thirty-five patients who underwent dual-layer detector spectral CT scanning of the chest and abdomen after 125I seeds implantation were retrospectively included at the First Affiliated Hospital of Zhengzhou University from March to September 2022. The spectral data were collected and reconstructed into conventional CT image (CI), VMI image (50-150 keV, 20 keV/level), CI+O-MAR image, and VMI+O-MAR image (50-150 keV, 20 keV/level). The artifacts′ removal effects and image quality improvement in each group were evaluated. Two slices with the strongest artifacts were selected for analysis for each patient, resulting in a total of 70 slices. Objective indicators including artifact index (AI), signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of soft tissue regions affected by artifacts were measured and calculated. Subjective indicators including the overcorrected artifacts and new artifacts, the different forms of artifacts, the diagnosis of artifacts, and the image quality were assessed. One-way analysis of variance was used for comparisons among multiple groups. Paired t test was used to compare the quantitative indicators between the combined O-MAR group and the non-O-MAR group. Kappa statistics was used to evaluate the consistency between observers. Results:In high/low-density artifacts (ROI H/L), the AI values in all groups showed decrease with increasing VMI keV. In artifact-affected tissue (ROI T), SNR of the CI/VMI (70-150 keV)+O-MAR group were significantly higher than those of the CI/VMI group ( P<0.05), CNR of the CI/VMI(50-150 keV)+O-MAR group were significantly higher than those of the CI/VMI group ( P<0.05). Both overcorrection and new artifacts mainly presented in VMI 50 keV and VMI 70 keV groups; Compared with VMI (50-70 keV) group, significantly less numbers of overcorrection and new artifacts were found in VMI (50-70 keV)+O-MAR group ( P<0.05); regarding the comparison of artifact types, with the VMI keV increasing, the number of a-type banded artifacts gradually decreased on images with high-density artifacts, reaching a minimum of 3 in the VMI 150 keV+O-MAR group; while the number of e-type artifacts with little or no artifacts increased, with the highest number of 23 in the VMI 150 keV+O-MAR group. The total number of high-density artifacts in each type decreased with increasing VMI keV. As VMI keV increased, the diagnostic and image quality scores of high-density artifacts in each group were significantly higher than those of low-density artifacts in the VMI+O-MAR group ( P<0.05). Conclusions:VMI combined with O-MAR can significantly improve the objective and subjective image quality of follow-up CT imaging after 125I seed implantation, enhancing lesion visibility and diagnostic confidence. Additionally, VMI+O-MAR showed more pronounced correction effect on high-density artifacts.

Objective:To investigate the value of multi-parametric analysis based on dual-layer detector spectral CT (DLCT) in predicting the initial recurrence risk for papillary thyroid carcinoma (PTC).Methods:From November 2021 to October 2022, 102 PTC patients confirmed by pathology were retrospectively collected at the First Affiliated Hospital of Nanjing Medical University in this cross-sectional study. There were 25 males and 77 females, with an age of (42±13) years old. The initial recurrence risk assessment for PTC patients was categorized into a low-risk group (75 cases) and an intermediate-high-risk group (27 cases). Clinical data, including age, gender, body mass index, history of nodular goiter, history of Hashimoto thyroiditis, and preoperative thyroid function, were collected. Tumor morphological features, including size, location, shape, aspect ratio, the degree of thyroid capsule contact, calcification, and cystic change, were evaluated. Quantitative DLCT parameters, including iodine concentration (IC), standardized iodine concentration (NIC), effective atomic number (Z eff), standardized effective atomic number (NZ eff), electronic density (ED), CT values under different energy levels (40-200 keV, 30 keV intervals) and slope of energy spectrum curve (λ HU) both in the arterial and venous phase were measured. The differences in clinical, morphological features, and spectral CT quantitative parameters between the two groups were compared using independent sample ttest, Mann-Whitney U test, or χ2 test. Multivariate logistic regression analyses were used to construct three models based on clinical and morphological features, quantitative DLCT parameters and their combination, respectively. The receiver operating characteristic curve was used to evaluate the predictive performance of these models for the initial recurrence risk of PTC patients, and the area under the curve (AUC) was compared using the DeLong test. Results:Significant differences were found in gender, lesion long diameter, lesion short diameter and calcification between the low-risk group and intermediate-high-risk groups ( P<0.05). The arterial phase IC, arterial phase Z eff, arterial phase λ HU, arterial phase CT 40 keV, venous phase NIC and venous phase NZ eff in intermediate-high-risk group were significantly lower than those in the low-risk group ( P<0.05). The logistic regression analysis revealed that the clinical model included gender ( OR=2.895, 95% CI 1.047-8.002, P=0.040) and lesion long diameter ( OR=1.142, 95% CI 1.042-1.251, P=0.004), with an AUC of 0.720, sensitivity of 63.0%, and specificity of 78.7% in predicting the initial recurrence risk of PTC patients. The DLCT quantitative parameter model included arterial phase IC ( OR=0.580, 95% CI 0.370-0.908, P=0.017), venous phase NIC ( OR=0.077, 95% CI 0.011-0.536, P=0.010), and venous phase NZ eff ( OR=0.002, 95% CI 0.001-0.103, P=0.009), with an AUC of 0.774, sensitivity of 71.9%, and specificity of 70.0%. The AUC of the combined model was 0.857, with a sensitivity of 74.1%, and specificity of 88.0%, outperforming the clinical model ( Z=2.92, P=0.004) and the DLCT quantitative parameter model ( Z=2.07, P=0.046). Conclusion:Multi-parametric analysis based on DLCT can help predict the initial recurrence risk for PTC, and combining it with clinical and morphological features, the predictive accuracy can be improved.