Objective To investigate the value of diffusion kurtosis imaging(DKI)in the differential diagnosis between benign and malignant sinonasal lesions.Methods The clinical and imaging data of 49 patients(20 benign and 29 malignant lesions)with sinonasal lesions confirmed by surgery and pathology were analyzed retrospectively.Conventional MRI and DKI were scanned for all patients.DKI quantitative parameters,including D-value and K-value,were measured by using FireVoxel software.The t-test was used to compare the differences of D-value and K-value between benign and malignant lesions.Diagnostic performances of these parameters and their combination in differentiating benign from malignant sinonasal lesions were assessed by using receiver operating characteristic(ROC)curve.Results Compared with benign group,malignant group showed significantly lower D-value(1.354±0.329 vs 1.924±0.595,P＜0.001)and higher K-value(0.856±0.190 vs 0.630±0.165,P＜0.001).ROC curve analysis showed that the area under the curve(AUC)for D-value in differentiating benign from malignant lesions was 0.820,with a cut-off value of＜1.775,sensitivity of 93.10％,and specificity of 55.00％.The AUC for K-value was 0.831,with a cut-off value of＞0.716,sensitivity of 79.31％,and specificity of 80.00％.The model combining D-value and K-value achieved an AUC of 0.859,sensitivity of 93.10％,and specificity of 70.00％.Conclusion The D-value and K-value obtained based on DKI can provide significant assistance in differentiating benign from malignant sinonasal lesions.

Objective To study influencing factors of hypoproteinemia in maintenance hemodialysis pa-tients.Methods A multicenter study was conducted.We selected 397 maintenance hemodialysis patients hos-pitalized at five hospitals of Wenzhou Kangning Hospital Group from April to June 2024 as study subjects.Pa-tients'general data and laboratory test results were collected.Logistic regression combined with the CHAID decision tree model was used to analyze indicators of hypoproteinemia in patients.Results Among 397 main-tenance hemodialysis patients,92 had hypoproteinemia(hypoproteinemia group),with a prevalence of 23.17%;others were assigned to the normal protein group.Statistically significant differences existed between groups in gender,age,occupation,education level,diabetes,vascular access type,insurance type,weight,Hb,blood calcium,blood phosphorus,blood potassium,blood glucose,parathyroid hormone,creatinine,blood urea,and cholesterol(P<0.05).Logistic regression showed occupation,insurance type,diabetes,Hb,and creatinine were independent influencing factors(P<0.05).The CHAID decision tree model identified age as the root node.Conclusion Occupation,insurance type,diabetes,Hb,age,and creatinine are important influencing fac-tors for hypoproteinemia in maintenance hemodialysis patients.Logistic regression combined with decision tree analysis can play complementary roles.

Objective To explore the value of integrating CT image features and quantitative dual-energy computed tomography(DECT)parameters in predicting cervical lymph nodes metastasis from laryngeal and hypopharyngeal squamous cell carcinoma(LHSCC).Methods The clinical and imaging data of 99 patients with LHSCC confirmed by pathology were retrospectively analyzed.All patients were divided into metastatic group(41 cases)and non-metastatic group(58 cases).The CT image features,including location,size and depth,were analyzed,respectively.The quantitative DECT parameters in the arterial and venous phases including iodine concentration(IC)and normalized iodine concentration(NIC)were measured.The rank sum test or independent-samples t-test were used to compare the difference of CT image features and quantitative DECT parameters between the two groups.The multivariate logistic regression analysis was used to build the models based on CT image features(image feature model)and combination of CT image features and quantitative DECT parameters(combined model).The receiver operating characteristic(ROC)curve was performed to analyze and compare the difference of predictive efficiency between the two groups.Results There were significant differences in tumor location between the non-metastatic group and the metastatic group(χ2=21.736,P<0.001).Size(33.20 mm vs 24.95 mm,P<0.001),depth(21.10 mm vs 13.15 mm,P<0.001)and NIC in the arterial phase(0.18 vs 0.14,P<0.001)in the metastatic group were significantly higher than those in the non-metastatic group.The area under the curve(AUC),sensitivity,specificity,positive predictive value,negative predictive value,accuracy of the combined model were 0.851,75.6%,82.8%,58.5%,87.9%and 75.8%for predicting cervical lymph nodes metastasis.The AUC,sensitivity,specificity,positive predictive value,negative predictive value,accuracy of the image feature model were 0.792,95.1%,56.9%,53.7%,81.0%and 69.7%,respectively.The prediction performance of the combined model was better than that of the image feature model(Z=-2.028,P=0.043).Conclusion Integrating CT image features and quantitative DECT parameters has important value for predicting cervical lymph nodes metastasis from LHSCC.

As the most common phenotype of type 1 neurofibromatosis(NF1),plexiform neurofibromas(pNF)exhibit early asymptomatic presentation but multisite involvement,with a risk of progression.Imaging serves as vital tool for evaluation and management of NF1-associated pNF.The progresses of imaging for evaluating NF1-related pNF were reviewed in this article.

Objective To investigate the value of diffusion kurtosis imaging(DKI)in the differential diagnosis between benign and malignant sinonasal lesions.Methods The clinical and imaging data of 49 patients(20 benign and 29 malignant lesions)with sinonasal lesions confirmed by surgery and pathology were analyzed retrospectively.Conventional MRI and DKI were scanned for all patients.DKI quantitative parameters,including D-value and K-value,were measured by using FireVoxel software.The t-test was used to compare the differences of D-value and K-value between benign and malignant lesions.Diagnostic performances of these parameters and their combination in differentiating benign from malignant sinonasal lesions were assessed by using receiver operating characteristic(ROC)curve.Results Compared with benign group,malignant group showed significantly lower D-value(1.354±0.329 vs 1.924±0.595,P＜0.001)and higher K-value(0.856±0.190 vs 0.630±0.165,P＜0.001).ROC curve analysis showed that the area under the curve(AUC)for D-value in differentiating benign from malignant lesions was 0.820,with a cut-off value of＜1.775,sensitivity of 93.10％,and specificity of 55.00％.The AUC for K-value was 0.831,with a cut-off value of＞0.716,sensitivity of 79.31％,and specificity of 80.00％.The model combining D-value and K-value achieved an AUC of 0.859,sensitivity of 93.10％,and specificity of 70.00％.Conclusion The D-value and K-value obtained based on DKI can provide significant assistance in differentiating benign from malignant sinonasal lesions.

As the most common phenotype of type 1 neurofibromatosis(NF1),plexiform neurofibromas(pNF)exhibit early asymptomatic presentation but multisite involvement,with a risk of progression.Imaging serves as vital tool for evaluation and management of NF1-associated pNF.The progresses of imaging for evaluating NF1-related pNF were reviewed in this article.

Objective To explore the value of integrating CT image features and quantitative dual-energy computed tomography(DECT)parameters in predicting cervical lymph nodes metastasis from laryngeal and hypopharyngeal squamous cell carcinoma(LHSCC).Methods The clinical and imaging data of 99 patients with LHSCC confirmed by pathology were retrospectively analyzed.All patients were divided into metastatic group(41 cases)and non-metastatic group(58 cases).The CT image features,including location,size and depth,were analyzed,respectively.The quantitative DECT parameters in the arterial and venous phases including iodine concentration(IC)and normalized iodine concentration(NIC)were measured.The rank sum test or independent-samples t-test were used to compare the difference of CT image features and quantitative DECT parameters between the two groups.The multivariate logistic regression analysis was used to build the models based on CT image features(image feature model)and combination of CT image features and quantitative DECT parameters(combined model).The receiver operating characteristic(ROC)curve was performed to analyze and compare the difference of predictive efficiency between the two groups.Results There were significant differences in tumor location between the non-metastatic group and the metastatic group(χ2=21.736,P<0.001).Size(33.20 mm vs 24.95 mm,P<0.001),depth(21.10 mm vs 13.15 mm,P<0.001)and NIC in the arterial phase(0.18 vs 0.14,P<0.001)in the metastatic group were significantly higher than those in the non-metastatic group.The area under the curve(AUC),sensitivity,specificity,positive predictive value,negative predictive value,accuracy of the combined model were 0.851,75.6%,82.8%,58.5%,87.9%and 75.8%for predicting cervical lymph nodes metastasis.The AUC,sensitivity,specificity,positive predictive value,negative predictive value,accuracy of the image feature model were 0.792,95.1%,56.9%,53.7%,81.0%and 69.7%,respectively.The prediction performance of the combined model was better than that of the image feature model(Z=-2.028,P=0.043).Conclusion Integrating CT image features and quantitative DECT parameters has important value for predicting cervical lymph nodes metastasis from LHSCC.

Objective To establish the methods of galvanic vestibular stimulation-vestibular evoked myogenic potentials(GVS-VEMPs)in healthy children and to obtain the normal value of GVS-cVEMP and GVS-oVEMP in these children in China.Methods Twenty(3～14 years)healthy children and 24 healthy adults(18～30 years)were enrolled for conventional examinations of GVS-cVEMP and GVS-oVEMP.Using the galvanic stimulation in-tensity under 3 mA/1 ms for children and 5 mA/1 ms for adults.The characteristics of elicitation and parameter re-sults of GVS-cVEMP and GVS-oVEMP in children and adults,as well as the pain scores and the elicitation of differ-ent stimulus intensities in the two age groups were recorded.Results The elicitation of GVS-cVEMP and GVS-oVEMP were both 100.0％in children and adult groups.The p1 latency,n1 latency and p1-n1 interval latency of GVS-cVEMP were 10.46±1.84 ms,16.98±2.12 ms and 6.52±1.42 ms respectively in children group,the n1 la-tency and p1-n1 interval latency were significantly shorter than the adult group(P＜0.05).The n1 latency,p1 la-tency and p1-n1 interval latency of GVS-oVEMP were 8.87±1.40 ms,12.25±1.80 ms and 3.39±1.07 ms re-spectively in children group with no significant difference between the two groups.The thresholds of GVS-cVEMP and GVS-oVEMP in children group were significantly lower than adult group(P＜0.01),but no differences were found in adult group regarding on the amplitude and interaural amplitude asymmetry ratio.In addition,with the in-crease of the intensity of galvanic stimulation,the correlation between pain scores and the elicitation rates of GVS-cVEMP and GVS-oVEMP also increased.Conclusion Using appropriate stimulus intensity and recording methods,GVS-cVEMP and GVS-oVEMP could be successfully assessed and detected in healthy children over 3 years old and adolescents.The latency of GVS-cVEMP in children is slightly shorter than that in adults,therefore we recommend selecting the matched age group for assessment in the children group.

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 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.