http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202212 zh-cn An RSS feed for Chinese Journal of Magnetic Resonance Imaging http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.001 ^, health. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.002 P＜0.05 for all), while in the non-involvement subgroup, only native T1 mean and median increased (P＜0.05 for both). The native T1/T2 SD and entropy as well as T1 maximum, were all significantly higher in the cardiac involvement subgroup compared to then non-involvement subgroup (P＜0.05 for all). A multi-variate regression model including all heterogeneous parameters exhibited a diagnostic accuracy of 83.0% (area under ROC curve: 0.81, 95% confidence interval: 0.72-0.94) to detect cardiac involvement in NMDs patients. Conclusions Heterogeneous parameters of non-contrast enhanced CMR T1/T2 mapping can detect cardiac involvement in patients with NMD, and the multi-parameter model had the highest diagnostic efficiency. The multi-heterogeneity parameter model provides a new method for the detection of cardiac involvement in patients with NMD. It has great potential in early screening of cardiac involvement in patients with NMD and has a wide clinical application prospect. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.003 P=0.641], but the global strain in the three directions and the corresponding systolic and early diastolic strain rates were significantly decreased (all P＜0.001). Compared with the HCM group, the global radial strain (GRS) and global circumferential strain (GCS) of Fabry disease group were significantly decreased (all P＜0.05). Multivariate logistic regression analysis showed that GRS was independently correlated with Fabry disease (OR=0.84, 95% CI: 0.72-0.97, P=0.017), and the area under the curve (AUC) to distinguish Fabry disease from HCM was 0.813. Conclusions Left ventricular strain can early reflect subclinical myocardial dysfunction in patients with Fabry disease. GRS can effectively distinguish Fabry disease from HCM, which is a new diagnostic index with potential value. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.004 t=2.363, P=0.030; t=2.100, P=0.014). LAEF and LVEF were lower than control group (t=-3.932, P＜0.001; t=-4.251, P＜0.001), LAEDV, LAESV, LVEDV and LVESV were higher than control group (t=2.732, P=0.010; t=4.223, P＜0.001; t=2.898, P=0.010; t=3.208, P=0.006). There was a linear correlation between ECV of midmyocardial septum and LAEF in HHD group (r=0.663, P=0.005), and there was a linear correlation between pre-T1 of midmyocardial septum, basal anterior, basal lateral wall and LAEF (r=0.530, P=0.035; r=0.627, P=0.009; r=0.579, P=0.019). Conclusions We found the presence of diffuse myocardial fibrosis and the left atrial and ventricular function decreased in HHD patients, and there is a certain correlation between some segments of left ventricular fibrosis and left atrial function parameters in HHD patients, which suggesting that there was a causal relationship between the left ventricular myocardial fibrosis and the deterioration of left atrial function in HHD patients. This provides evidence for the interaction between left ventricular myocardial structure and left atrial function to promote the progression and poor prognosis of HHD. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.005 P＜0.05). Univariate logistic regression analysis showed that there were statistically significant differences in the prediction of LGE positivity by LVEF, CI, LVMI and LV LAS (P＜0.05). ROC analysis showed that LV LAS＜-14.3% [area under the curve (AUC): 0.909, sensitivity: 90.5%, specificity: 75.0%, 95% CI: 0.756-0.981] and LVMI＞83.9 g/m² (AUC: 0.877, sensitivity: 71.4%, specificity: 100.0%, 95% CI: 0.716-0.965) predicted good LGE positive efficacy in CA patients. Conclusions LV LAS can not only quantitatively assess the severity impaired of left ventricular function in CA patients secondary to MM, but also has predictive value for LGE. It can provide decision-making for early clinical quantitative assessment of cardiac involvement and prevention of serious adverse events in patients with renal insufficiency. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.006 P＜0.05). Global and segmental strains were lower in the case group than in the HC group, with statistically significant differences (P＜0.05). The CA relative apical radial strain (RAS_RS) ratio was 0.77±0.05 and the relative apical longitudinal strain (RAS_LS) ratio was 0.93±0.04. In the differential diagnosis of CA and HCM, the area under the curve (AUC) of native T1 value, basal radial strain (BRS), basal longitudinal strain (BLS), RAS_RS and RAS_LS were 0.95, 0.97, 0.92, 0.84 and 0.82 (P＜0.05). In the differential diagnosis of CA and HHD, the AUC of native T1, BRS, BLS, RAS_RS and RAS_LS were 0.97, 0. 74, 0.79, 0.73 and 0.80, respectively (P＜0.05). In the differential diagnosis of HCM and HHD, the AUC of native T1 and global longitudinal strain (GLS) were 0.74 and 0.69, respectively, and combining these two parameters resulted in a combined diagnostic index with an AUC of 0.81. Conclusions Significantly higher native T1 values and preserved relative apical strain can effectively discriminate CA from HCM and HHD, with BRS having the highest diagnostic efficacy in CA and HCM and native T1 in CA and HHD; native T1 values combined with GLS can help further improve the differential diagnostic efficacy in HCM and HHD. Based on the native T1 values of myocardial histological imaging parameters and myocardial strain parameters GLS and BRS measured by CMR can effectively identify HCM, CA and HHD, which can provide new ideas for the diagnosis of myocardial thickening disease etiology and treatment decisions. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.007 1 mapping, extracellular volume fraction (ECV), myocardial indexed interstitial volume and late gadolinium enhancement (LGE), and measure 2D global strain parameters of the left ventricle include global radial strain (GRS), global circumferential strain (GCS) and global longitudinal strain (GLS). MCF was calculated by dividing left ventricular stroke volume (LVSV) by left ventricular myocardial volume (LVMV). Pearson or Spearman analysis was used for linear or monotonic nonlinear correlations. Independent-samples t-test or Mann-Whitney U-test was performed for multiple comparisons. The receiver operating characteristic (ROC) curve calculated the diagnostic efficacy of left ventricular function parameters for HCMpEF. Results MCF, GRS, GCS and GLS in the HCMpEF group was significantly lower than those in the control group (P＜0.05), while LVMi and LVMWT were significantly higher than those in the control group (P＜0.05). Correlation analysis showed that MCF correlated linearly with LVEF (r=0.402, P=0.002), LVMWT (r=-0.704, P=0.004), native T₁ (r=-0.342, P=0.011), ECV (r=-0.348, P=0.009), GRS (r=0.642, P＜0.001), GCS (r=-0.679, P＜0.001) and GLS (r=-0.675, P＜0.001), MCF correlated nonlinearly with LVMi (r=-0.710, P＜0.001), LGE mass fraction (r=-0.655, P＜0.001), myocardial indexed interstitial volume (r=-0.707, P＜0.001). The area under the ROC curve of MCF, LVMi, GRS, GCS and GLS in differentiating the HCMpEF group from the healthy control group was 0.99, 0.97, 0.71, 0.77 and 0.97, respectively (P＜0.05). Conclusions The MCF calculated by CMR is a simple and effective index to evaluate the overall cardiac systolic function of HCMpEF patients, which can provide a new quantitative imaging marker for the clinical diagnosis and treatment of HCMpEF. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.008 P＜0.001). And in patient group, all global and some segmental PDSR were significantly related to cTnT. Among them, the best correlation with cTnT was global radial PDSR (GR-PDSR; r=0.568, P＜0.001), with medium-related. Analysis through the receiver operating characteristic curve, GR-PDSR [area under the curve (AUC): 0.79, sensitivity: 91%, specificity: 65%] showed the highest predictive value for elevated cTnT in all PDSR. In addition, all global and segmental PDSR except apical radial PDSR (AR-PDSR) demonstrated moderate and above intra- and inter-observer reproducibility. Conclusions Global and segmental PDSR can identify sub-clinical myocardial damage in HCMpEF patients and screen out more severe HCMpEF patients, and can also predict the increase of cTnT level in HCMpEF patients. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.009 F=64.219, P＜0.001]. T1ρ mapping has the same trend as ECV [Control (38.4±1.5) ms vs. HCM-N (41.6±5.1) ms vs. HCM-H (47.4±7.9) ms; F=81.399, P＜0.001]. There were significant differences in ECV, T1ρ mapping between control group and HCM-N group, control group and HCM-H group, HCM-N group and HCM-H group (P＜0.001). There was significant difference in native T1 among control group, HCM-N group and HCM-H group [Control (1270.1±92.0) ms vs. HCM-N (1292.4±127.0) ms vs. HCM-H (1338.2±103.3) ms; F=9.921, P＜0.001]. There was no statistical difference in native T1 mapping between HCM-N and control group, but there were significant differences between HCM-N group and HCM-H group, and between HCM-H and control group. The consistency between ECV and T1ρ is 0.734. Conclusions CMR endogenous T1ρ could sensitively identify myocardial fibrosis in HCM patients,, and has potential clinical value in evaluating myocardial fibrosis. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.010 Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.011 P＜0.05, family wise error corrected). This lower GMV in patient group has no significant correlation with scores of cognition, anxiety, and depression. Two parameters at global level including the clustering coefficient (P=0.011) and local efficiency (P=0.003) were significantly higher in the patient group than in HC. To targeted attacks, when removing several specific nodes, the relative sizes of SCN in patient group was significantly higher than that of HC (all P＜0.05). Conclusions The combination of VBM and SCN analysis revealed the characteristics of reorganization of brain gray matter structure in MHD patients without neuropsychological disorder, and provide a novel perspective for understanding the mechanism of early brain damage in MHD patients. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.012 t-test, Mann-Whitney U or χ² test were used to analyze the general clinical data of patients, and multivariate logistic regression analysis was performed for variables with univariate difference of P＜0.1. The odds ratio of risk factors to end events was analyzed. Receiver operating characteristic (ROC) curve was used to analyze the value of MRA-MTC-rLMC score in predicting the poor prognosis of CMCAO patients. Results In 70 patients with CMCAO, MRI showed no lacunar infarction in 42 cases (60%), ipsilateral lacunar infarction in 17 cases (24.28%), contralateral lacunar infarction in 7 cases (10%), bilateral cerebral infarction in 4 cases (5.71%). MRA showed that 29 cases (41.43%) were on the right side and 41 cases (58.57%) were on the left side. There were 42 cases (60%) in the good MRA-MTC-RLMC group and 28 cases (40%) in the poor MRA-MTC-RLMC group. In the poor prognosis group, 18 patients had cerebral infarction, 8 patients had transient ischemic attack and 2 patients died. After adjusting for age, multivariate logistic regression analysis showed that MRA-MTC-RLMC score was a risk factor for poor prognosis of CMCAO, and there was a significant negative correlation between MRA-MTC-RLMC score and poor prognosis. The area under the ROC curve of MRA-MTC-RLMC score in predicting the poor prognosis of CMCAO was 0.855 (95% CI: 0.805-0.965), and there was significant statistical significance (P＜0.001). The optimal cut-off value of MRA-RLMC score was 11 points, and the Youden index was 0.764, the sensitivity was 96.4%, and the specificity was 81.0%, indicating that the MRA-MTC-RLMC score had a good application value in predicting the poor prognosis of CMCAO. Conclusions The modified MRA-MTC-rLMC score can provide morphological changes of CMCAO collateral vessels and indirectly reflect hemodynamics, which is conducive to early diagnosis and prognosis of CMCAO collateral circulation. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.013 n=599) and testing set (n=255) according to the ratio of 7∶3. Enhanced MRI data were imported into ITK-SNAP software, and the tumor^,s region of interest (ROI) in the enhanced T1WI was manually delineated to ROI. Radiomics feature extraction and screening using the least absolute shrinkage selection operator based on ROI. Support vector machine (SVM) model, random forest model and logistic regression model based on salient features were established respectively. Receiver operating characteristic (ROC) curve was used to assess the diagnostic efficiency of the models for distinguishing lung cancer brain metastases and non-Lung cancer brain metastases. Results After feature screening, 5 salient features were finally retained. The most effective radiomics model was the SVM model. In the training set. The area under the curve (AUC) of SVM was 0.796, accuracy value of 85.3%, sensitivity value of 87.8%, specificity value of 70.8%. In the testing set, AUC value of 0.789, accuracy of 90.2%, sensitivity of 95.4%, specificity of 59.5%. Conclusions Radiomics models based on enhanced MRI can be used for effectively predicting the lung cancer and non-lung cancer primary focus of brain metastatic cancer with unknown primary tumor. SVM model has higher diagnostic value than random forest model and logistic regression models. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.014 P＜0.001); After radiotherapy, the volume of gray matter in the temporal lobe, occipital lobe, frontal lobe, marginal lobe and cerebellum of NPC patients still decreased significantly, and the volume of gray matter in the right insular lobe, left temporal lobe, bilateral superior frontal gyrus, right orbital inferior frontal gyrus, right cerebellum, and right parahippocampal gyrus also decreased (cluster level FWE correction, P＜0.001). The volume change of left cerebellar gray matter was positively correlated with the radiation dose (r=0.503, P=0.020). Conclusions The brain gray matter structure of NPC patients has undergone morphological changes during radiotherapy. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.015 * map texture analysis of enhanced T2^* weighted angiography (ESWAN) sequence. Materials and Methods A retrospective analysis was performed of all 81 cases of patients who underwent hepatectomy and were pathologically confirmed HCC between November 2011 and May 2020. According to whether there were enhanced computed tomography or MRI or surgical pathology confirmed new intrahepatic HCC lesions or extrahepatic metastases within 2 years after hepatectomy, HCC patients were divided into the early recurrence group (n=43) and the non-early recurrence group (n=38). All patients underwent 1.5 T or 3.0 T MRI scan of upper abdomen within 1 month before surgery, including T1WI, T2WI and ESWAN sequence. ESWAN image was postprocessed by Functool software (GE AW 4.6 workstation) to obtain R2^* graph. Two radiologists with 3 and 7 years of MRI diagnosis experience respectively delineated all layers of the tumor along the tumor edge on R2^* maps, and then extracted 107 texture features using Artificial Intelligence Kit software. It includes first-order features, shape features, gray level co-occurrence matrix (GLCM), gray level dependence matrix (GLDM), gray level size zone matrix (GLSZM), gray level run length matrix (GLRLM) and neighbouring gray tone difference matrix (NGTDM). Intra-class correlation coefficient (ICC), Spearman correlation test and gradient boosting decision tree (GBDT) were used for feature dimension reduction. Logistic regression model was established, receiver operating characteristic (ROC) curve was drawn to predict the efficacy of recurrence, and area under the curve (AUC), precision, sensitivity and specificity were calculated. Calibration curve and Hosmer-Lemeshow (H-L) were used to test the fit degree of the valence model. Clinical decision curve analysis (DCA) was performed to evaluate the clinical benefit. Results Thirteen optimal texture features were obtained, including six first-order features (nnergy, kurtosis, maximum, median, skewness and total energy), one GLCM feature (Idn), one GLDM feature (large dependence low gray level emphasis), one GLRLM feature (run entropy), two GLSZM features (size zone non uniformity and size zone non uniformity normalized), one NGTDM feature (busyness) and one shape feature (maximum 2D diameter, Slice). Logistic regression model was established to predict AUC, accuracy, sensitivity and specificity of early recurrence after hepatectomy for HCC were 0.830 (95% CI: 0.740-0.920), 79.00% (95% CI: 78.60%-79.40%), 83.70% (95% CI: 72.70%-94.80%) and 73.70% (95% CI: 59.70%-87.70%). The calibration curve showed that there was a good consistency between the predicted early recurrence probability of the model and the real early recurrence probability. H-L test showed that there was no significant difference between the predicted calibration curve of the model and the ideal model curve (P=0.493). DCA showed that R2^* map texture analysis had a higher clinical net benefit in predicting early recurrence after hepatectomy for HCC. Conclusions R2^* map based on ESWAN sequence combined with texture analysis has certain predictive value for early recurrence of HCC after hepatectomy based on the difference of tumor oxygen content level. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.016 n=115, testing set: n=49) who performed hepatectomy and preoperative gadoxetic acid-enhanced MRI within 2 weeks before resection between August 2015 and August 2020. The univariable and multivariable Cox regression analyses were performed to identify clinical-pathologic-radiologic factors associated with recurrence-free survival (RFS). The radiomics models were constructed using least absolute shrinkage and selection operator Cox regression. The combined nomogram model merging independent factors and radscore was built to predict the RFS of HCC patients after resection and the predictive performance of nomogram model was evaluated with C-index and calibration curves. Kaplan-Meier survival analysis was used to assess the association of the models with RFS. Results The combined nomogram model integrating the tumor margin [HR=2.1, 95% confidence interval (CI): 1.3 to 3.3], necrosis (HR=2.5, 95% CI: 1.5 to 4.3) and the radscore (HR=64.1, 95% CI: 20.6 to 199.9) showed good predictive efficacy for recurrence of HCC patients after resection with a C-index of 0.796 (0.738 to 0.854) in the training set and 0.784 (0.684 to 0.885) in the test set. Calibration curves demonstrated good agreement between model-predicted probabilities and observed outcomes. There was significant difference for recurrence rates between predicted low-risk group and high-risk group in the training set (χ²=52.88, P＜0.001) and the test set (χ²=4.14, P=0.042). Conclusions The nomogram model demonstrated good performance for predicting recurrence of HCC patients after resection, thus may help personalized clinical management of HCC patients. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.017 t test. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficacy. Results Measurements by the two observers were in good agreement (ICC＞0.75). APT values in group PCa with bone metastasis (2.76%±0.44%) were significantly higher than those in group PCa without bone metastasis (2.26%±0.64%) (P＜0.05). The area under the ROC curves (AUC) of APT for distinguishing the lesions between two groups was 0.766. The diagnostic sensitivity and specificity were 71.43% and 70.73%, respectively, with the cut-off APT value of 2.50%. Conclusions In this study, 3D-APT imaging technology was used for the first time to distinguish PCa with and without bone metastasis, PCas with bone metastases were observed with significantly higher mean APT values than those without bone metastasis. The diagnostic sensitivity and specificity of APT imaging for differentiation of these two type PCas were good. Therefore, APT imaging may serve as a promising non-invasive method for clinical evaluation of the aggressiveness of PCa. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.018 min) and mean apparent diffusion coefficient (ADC_mean). Materials and Methods The bpMRI images and data of 91 patients were retrospectively analyzed, the ADC_min and ADC_mean of the main lesions were calculated, and the receiver operating characteristic (ROC) curve was drawn to determine the diagnostic cut-off of ADC. The area under the curve (AUC) was calculated to analyze the diagnostic performance of ADC for PCa. The differences of ADC between benign and malignant lesions were compared, and the differences between low-risk, intermediate-and high-risk lesions were compared according to risk stratification. Correlations between ADC and ISUP GG were analyzed using Spearman analysis. Results Of the 91 patients, 48 had PCa (52.7%), and 43 had benign lesions (47.3%). The medians of ADC_min and ADC_mean in PCa group were significantly lower than those in benign lesions group, and there was significant difference between benign lesions and malignant lesions (P＜0.05). The median ADC_min and ADC_mean of intermediate and high-risk PCa (ihPCa) were significantly lower than those of benign and low-risk groups, and the differences were significant (P＜0.05). Taking 0.49×10^-3 mm²/s (b=2000) as the diagnostic cut-off value, the specificity, positive predictive value, Youden index, and AUC of ADC_min in diagnosing ihPCa were 88%, 84%, 68%, and 0.87, respectively. Taking 0.64×10^-3 mm²/s (b=2000) as the diagnostic cut-off value, the specificity, positive predictive value, Youden index, and AUC of ADC_mean for diagnosing ihPCa were 85%, 78%, 59%, 0.83, respectively. The values of ADC_min and ADC_mean were negatively correlated with ISUP GG values (ρ=-0.661, P＜0.01). Conclusions As the ADC value decreases, the prognosis risk of PCa increases. The ADC parameters of bpMRI have relatively high specificity and PPV in the diagnosis of ihPCa and the diagnostic performance of ADC_min is better than that of ADC_mean. The ADC parameters of bpMRI can be used to non-invasively assess the risk stratification related to the prognosis of PCa, providing an effective tool for risk prediction and individualized treatment of PCa patients, and suggesting that radiologists can focus more on ADC_min in diagnosis. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.019 T1 and NWI_T2, respectively. The inner edge and outer edge of the adventitial of the vessel wall were delineated according to the pathological images, and the corresponding NWI were denoted by NWI_P1 and NWI_P2, respectively. The differences of MR imaging and pathological quantitative indexes between the experimental group and the control group were compared, and the NWI consistency between MRI sequences and between MRI and pathology were evaluated by intraclass correlation coefficient (ICC) and Bland-Altman plots. Results Finally, 19 rabbits (1 died before MRI examination in the experimental group) were included in the statistics. Compared with the control group, the LA of the experimental group was significantly smaller (T1WI, P=0.033; T2WI, P＜0.0001) and NWI were significantly larger (T1WI, P＜0.0001; T2WI, P＜0.0001). The overall consistency analysis showed that the consistency between NWI_T1 and NWI_T2 was better (ICC=0.7552), followed by the consistency between NWI_T1 or NWI_T2 and NWI_P1 (ICC=0.438; ICC=0.444), NWI_T1 or NWI_T2 had the worst agreement with NWI_P2 (ICC=0.285; ICC=0.292). The consistency analysis of the experimental group was similar to the above results. In the control group, the agreement between NWI_T1 and NWI_T2 was acceptable (ICC=0.6304), but the agreement between NWI_T1 or NWI_T2 and NWI_P1 was poor (ICC=-0.1917; ICC=-0.05949), the consistency of NWI_T1 or NWI_T2 with NWI_P2 was also poor (ICC=-0.1989; ICC=-0.1441). Conclusions The T1WI and T2WI of 3D DANTE CUBE can quantitatively distinguish the wall of atherosclerotic lesions from the normal wall of abdominal aorta in rabbits, and the consistency between the two commonly used weighted sequences is good. According to the consistency analysis between the NWI and pathology, the NWI measured by DANTE CUBE sequence is relatively close to the measurement results of the inner edge of the adventitia in pathological images, but the consistency is poor in general, especially in the comparison of normal vessels with thin vessel walls. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.020 3O₄-PLGA-CREKA) to improve the detection ability of thrombus through targeting fibrin. Materials and Methods Fe₃O₄-PLGA-CREKA nanoprobes were made by double emulsification and carbodiimide, and their physicochemical properties were tested. In-vitro magnetic resonance imaging (MRI) of Fe₃O₄-PLGA-CREKA nanoprobe was performed with T2WI and T2 mapping sequences to analyze the correlation between nanoprobe concentration and T2 relaxation rate. The venous blood of rats was collected to make frozen sections and incubated with Fe₃O₄-PLGA/DiI CREKA NPs (targeted group) and Fe₃O₄-PLGA/DiI NPs (non-targeted group) respectively. The targeting of different nanoprobes to thrombus was observed by inverted fluorescent microscope. After the safety verification of the nanoprobe on cells, a venous thrombosis model was established in the jugular vein of SD rats. Fe₃O₄-PLGA-CREKA NP (targeted group) and Fe₃O₄-PLGA NP (non-targeted group) were injected into the caudal vein respectively. Data were collected after T2WI and T2 mapping sequence scanning. At the same time, major organs were collected, and the safety of the nanoprobe was verified by H&E staining. Results In this study, Fe₃O₄-PLGA-CREKA nanoprobes with a particle size of (255.3±56.0) nm were successfully prepared, and their surface potential was (-18.90±5.84) mV; The TEM results showed that the nanoprobe was a homogeneous sphere with good dispersion; The nanoprobes had the ability to enhance MR signal; Compared with the non-targeted group, the targeted group^,s nanoprobes can better target venous thrombosis, which has good biosafety; the T2 relaxation rates of non-targeted group and the targeted group before and after administration were (17.33±2.25) s^-1, (49.00±6.66) s^-1, (19.00±3.90) s^-1 and (72.83±6.68) s^-1, respectively. Conclusions The Fe₃O₄-PLGA-CREKA nanoprobes prepared in our study possess good biosafety and MRI imaging ability with high specificity for venous thrombosis, which is expected to help with venous thromboembolism diagnosis and treatment in the future. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.021 Material and Methods: Thirty healthy volunteers were prospectively recruited in this study. Ten volunteers were performed the pre-scan for selecting a precise head three-dimensional simultaneous non-contrast angiography and intraplaque hemorrhage (3D SNAP) parameter. Twenty volunteers were scanned with conventional 3D SNAP and CS 3D SNAP (AF=2, 2.5, 3, 4, or 5) on the basis of the optimized pre-scan sequence. Two radiologists delineated the region of interest of vascular lumen, vascular wall, and adjacent white matter on the original images, then measured the signal intensity and the standard deviation. The signal to noise ratio (SNR) and the contrast to noise ratio (CNR) of vascular lumen, the contrast-to-tissue ratio (CTR) and the CTR efficiency (CTR_eff) of the vascular wall were further calculated. The image quality of each dataset were scored subjectively by two radiologists. The consistency of measurements and subjective scores of the two observers were analyzed using Kappa and intra-class correlation coefficient (ICC) test. Compare and analyze the differences in measurement parameters and subjective scores between different AF. Results The measured data and subjective scores of the two observers were in good consistent (Kappa: 0.568-0.884, ICC: 0.602-0.968). When CS AF is greater than or equal to 4, the SNR, CNR of vascular lumen and subjective scores were significantly different from those of conventional 3D SNAP (P＜0.05). When CS AF is equal to 2.5, 3, 4, or 5, the CTR_eff of vascular wall were significantly different compared with conventional 3D SNAP (P＜0.05). Conclusions 3D CS SNAP can obtain whole cerebrovascular MRA and vascular wall images in a relatively short period of time, and a single scan provides diagnostic information on both vascular morphology and plaque in the vessel wall. AF of 2 is recommended for mild and moderate disease patients and AF of 3 is recommended for critical patients. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.025 Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.026 Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.027 Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.028 ^, quality of life and prognosis. This paper reviews the research progress of MRE in the projection, diagnosis, differential diagnosis, treatment effectiveness assessment and prognosis survival prediction of HCC, to analyze the advantages and shortcomings of MRE technology at this stage and the future development direction, so as to provide favorable reference for the diagnosis and treatment of HCC and improve the prognosis of HCC patients. ]]> Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.029 Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.030 Tue,20 Dec 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.12.031 Tue,20 Dec 2022 00:00:00 GMT