http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202312 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.1674-8034.2023.12.001 ObjectiveA voxel-based morphometry (VBM) was used to investigate the abnormal patterns of gray matter volume of cerebellar subregions of type 2 diabetes mellitus (T2DM) patients using spatially unbiased infratentorial template for fine subregion segmentation of the cerebellum. Materials and MethodsSeventy-five patients with T2DM and 53 healthy controls (HCs) were recruited, and collected cranial MRI image data, clinical data, and cognitive-psychological scales from all subjects. Differences in gray matter volume in cerebellar subregions between T2DM and HCs were compared by independent samples t test, and Pearson or Spearman correlation analysis was performed with clinical data and scores of cognitive-psychological scales in differential cerebellar subregions. ResultsCompared with HCs, T2DM patients had lower Montreal Cognitive Assessment scores and higher 24-item Hamilton Depression Scale and Hamilton Anxiety Scale scores (P＜0.001). Reduced gray matter volume in the right cerebellar Crus Ⅰ and bilateral cerebellar lobules Ⅰ-Ⅴ/Ⅰ-Ⅳ subregions (voxel level P＜0.001, cluster size＞100). The body mass index was positively correlated with right lobules Ⅰ-Ⅴ (r=0.265, P=0.022), left lobules Ⅰ-Ⅳ (r=0.323, P=0.005) subregions gray matter volume, and gray matter volume in right Crus Ⅰ subregion was negatively correlated with fasting insulin levels (r=-0.263, P=0.023) and updated homeostasis model assessment insulin resistance index (r=-0.327, P=0.004). ConclusionsPatients with T2DM are at risk for mild cognitive impairment and depression and anxiety, and reduced gray matter volume of right Crus Ⅰ may be associated with insulin resistance. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.002 ObjectiveTo explore the value of multi-b diffusion-weighted imaging (MB-DWI) in the clinical diagnosis of Alzheimer^,s disease (AD), in order to assist clinical diagnosis and treatment in the early stage of AD. Materials and MethodsA total of 68 subjects were enrolled in the study, including three subject populations: 24 subjects with AD, 29 subjects with cognitive impairment (MCI), and 15 normal controls (NC) with no cognitive complaints. Statistical differences in apparent diffusion coefficient (ADC), intravoxel incoherent motion-diffusion coefficient (IVIM-D), intravoxel incoherent motion-perfusion fraction (IVIM-f), aquaporin-apparent diffusion coefficient (AQP-ADC) were compared using one-way ANOVA or Cruskal-Wallis test, and further comparison between groups was performed using Bonferroni method. In addition, the correlation between clinical cognitive score and the above indexes was further analyzed. ResultsIn the analysis of AQP-ADC and IVIM-D, the differences between the MCI group and the NC group were mainly in the frontal cortex (right P=0.046; left P=0.016), hippocampus (right P=0.020; left P=0.022), thalamus (right P=0.022; left P=0.001) and left temporal white matter (P=0.049). The results showed that compared with the NC group, the AD group showed more regional differences in the progression of AD. In addition, AQP-ADC and IVIM-D had superiority in detecting MCI and AD compared with conventional ADC when receiver operating characteristic curves (ROC) were used to analyze the diagnostic performance of MB-DWI related indexes. ConclusionsCompared with conventional DWI, MB-DWI has significant advantages in AD diagnosis, especially in providing additional information at the MCI stage. MB-DWI may be another early biomarker and measure of disease progression for AD-related pathophysiological changes. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.003 ObjectiveTo investigate the changes of gray matter density of native patients with mild cognitive impairment (MCI) at high altitude by structural magnetic resonance imaging (sMRI). Materials and MethodsNinety-one native MCI patients at high altitude (MCI group) and 95 native healthy controls (HC) matched for age, gender and education (HC group) were collected for neuropsychological testing and three-dimensional T1WI magnetization prepared rapid acquisition gradient echo sequence (3D-T1WI-MPRAGE) imaging. Gray matter density was measured in different whole-brain zones using voxel morphometric measurement (VBM) to compare brain regions with significant differences in gray matter density. ResultsMCI group had significantly lower gray matter density in the left hippocampus, left parahippocampal gyrus, left fusiform gyrus, and bilateral cerebellar than HC group (all P＜0.05). ConclusionsThere are sMRI changes of brain in MCI patients at high altitude, this may be the structural basis for the changes in cognitive functions associated with chronic high-altitude exposure. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.004 ObjectiveThe integrity of Willis ring and the characteristics of Atherosclerosis plaque in the skull and neck of patients with ischemic stroke in the anterior circulation were analyzed by using magnetic resonance angiography (MRA) integrated with the skull and neck to explore the image characteristics independently related to recurrent stroke. Materials and MethodsEighty-seven patients with anterior circulation ischemic stroke were collected retrospectively. all of them were examined by high-resolution magnetic resonance angiography within 14 days after the onset of symptoms, and were divided into initial stroke group and recurrent group according to clinical and imaging data. They were divided into the initial stroke group and the recurrent stroke group based on clinical and imaging data. Record the total number of plaques, the characteristics of carotid artery plaques (intracranial: plaque enhancement, intra plaque bleeding, degree of stenosis; extracranial: lipid core, intra plaque bleeding, degree of stenosis), and the integrity of the Willis ring. Compare the characteristics of carotid artery plaques between the initial and recurrent groups. Evaluation of independent risk factors associated with recurrence of ischemic stroke in the anterior circulation using multivariate logistic regression analysis. ResultsA total of 87 patients were included. There are 54 cases in the initial group and 33 cases in the recurrence group. There was no statistically significant difference in gender (P=0.223) and age (P=0.779) between the two groups. Compared with the initial group, the recurrent group showed intracranial plaque enhancement (P=0.010), degree of intracranial artery stenosis (P=0.002), total number of plaques (P＜0.001), intracranial plaque enhancement combined with extracranial plaques (P=0.006), intracranial (or extracranial) artery stenosis＞50% combined with extracranial (or intracranial) plaques (P=0.001), and incomplete symptom side of Willis^, posterior circulation (P＜0.001). Significant correlation with recurrent stroke. Compared with the Willis group with intact anterior circulation, the Willis group with incomplete anterior circulation showed more enhancement of intracranial plaques (P=0.012). Multivariate logistic regression analysis showed that the total number of plaques [odds ratio (OR)=2.14, 95% confidence interval (CI): 1.182-3.869, P=0.012] and the incomplete symptomatic side of Willis^, posterior circulation (OR=4.58, 95% CI: 1.496-14.041, P=0.008) were independent predictors of anterior circulation ischemic stroke recurrence. The overall prediction performance of the logistic regression model is optimal [area under the curve (AUC) =0.811, 95% CI: 0.711-0.910]. ConclusionsThe total number of plaques and incomplete posterior circulation symptoms of Willis are independently associated with the recurrence of ischemic stroke in the anterior circulation. High resolution vascular wall magnetic resonance imaging with integrated craniocervical imaging can provide new indicators for the construction of predictive models for anterior circulation ischemic stroke recurrence. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.005 ObjectiveTo develop an evaluation model for predicting early postoperative recurrence and evaluating the prognosis of glioma patients using preoperative MRI radiomics and clinical features. Materials and MethodsThe MRI images and clinical data of 120 glioma patients were analyzed retrospectively to extract the imaging omics characteristics of the peritumoral edema areas and intratumoral enhancement areas. To compare the variables between the recurrence and non-recurrence groups, we utilized either Chi-square tests or Fisher^,s exact tests. Furthermore, differences between continuous variables were examined through t-tests or U tests. For dimensionality reduction of the features, we employed t-tests, Spearman correlation analysis, and least absolute shrinkage and selection operator (LASSO) regression. Three distinct predictive models were established, including intratumoral, intratumoral plus peritumoral edema, and fusion models. Nomograms were employed to display the predictions of the 3-year survival period, while Kaplan-Meier (KM) plots were utilized to illustrate the survival outcomes across different groups. ResultsStatistically significant differences were observed in the isocitrate dehydrogenase (IDH) mutation status and Rad-score between the recurrence and non-recurrence groups, with P-values of 0.04 and＜0.001, respectively. The final analysis included fifteen imaging radiomics features. The three models in the training set displayed area under the curve (AUC) values of 0.905, 0.925, and 0.923, while in the test set, the corresponding AUC values were 0.859, 0.866, and 0.897. The fusion model outperformed the others. KM analysis demonstrated no significant differences in survival time among patient groups in both the training and test sets. ConclusionsMRI-based imaging radiomics demonstrates promising predictive capability for postoperative recurrence in glioblastoma patients, while also offering an initial assessment of postoperative survival time. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.006 ObjectiveTo evaluate the feasibility of quantitative parameters based on T1 mapping sequence in predicting the pathological types of lung cancer. Materials and MethodsA total of 117 lung cancer patients, including 62 cases of adenocarcinoma, 26 cases of squamous cell carcinoma, 29 cases of small cell lung cancer (SCLC), were enrolled in this study. Prior routine sequence scans, then the B1 field corrected variable flip angle VIBE sequence was used to acquire T1 mapping images. Afterwards, Gd-DTPA was used for dynamic enhanced scanning. T1 mapping images were collected 5 minutes before and after enhancement. Measure tumor size, T1 value before enhancement (T1pre), T1 value after enhancement (T1post), and calculate ΔT1, ΔT1%. SPSS and MedCalc software were used for analysis the differential diagnostic value of each quantitative parameter in each group, logistic regression combined with area under the curve (AUC) was constructed to evaluate the diagnostic value of each quantitative parameter and multi-parameter combination. ResultsThere were statistically significant differences in ΔT1, ΔT1% and T1post among adenocarcinoma, squamous cell carcinoma and SCLC (P＜0.05), but no difference in T1pre (P=0.506). The AUCs of T1post, ΔT1, and ΔT1% values to differentiate SCLC and non-small cell lung cancer (NSCLC) were 0.856, 0.805 and 0.864, combination of the three parameters can improve the diagnostic accuracy of differentiating SCLC and NSCLC (AUC=0.870, P＜0.05). The AUCs of ΔT1 and ΔT1% values to differentiate adenocarcinoma and squamous cell carcinoma were 0.755 and 0.767, combination of the two could slightly improve the diagnostic accuracy (AUC=0.771, P＞0.05). The AUCs of ΔT1%, T1post values to differentiate squamous cell carcinoma and SCLC were 0.788 and 0.818, combination of the two could improve the diagnostic accuracy (AUC=0.831, P＞0.05). The AUCs of ΔT1%, T1post values to differentiate adenocarcinoma and SCLC is 0.895 and 0.873, combination of the two could improve the diagnostic accuracy (AUC=0.898, P＞0.05). ConclusionsT1 mapping can non-invasively and quantitatively obtain the T1 value of adenocarcinoma, squamous cell carcinoma and small cell lung cancer, and can be used to distinguish SCLC from NSCLC, as well as squamous cell carcinoma and adenocarcinoma, provide more accurate histological correlations and prognostic value in lung cancer. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.007 ObjectiveTo explore the value of texture features based on dynamic contrast-enhanced MRI (DCE-MRI) images in preoperative prediction of molecular typing of breast cancer. Materials and MethodsThe preoperative MRI images and clinicopathological data of 75 patients with breast cancer confirmed by postoperative pathology in the First People^,s Hospital of Yichang from October 2021 to October 2022 were retrospectively analyzed. The general data of patients were analyzed by chi-square test and variance analysis. Feature parameters were extracted from DCE-MRI images for molecular subtypes with yes and no as binary classification indicators. Dimension reduction of feature parameters was performed by standardized and optimal feature filters. Independent sample t-test or Mann-Whitney U test was used to identify the optimal texture parameters with statistically significant differences between different groups. The area under the ROC curve (AUC) was used to evaluate the diagnostic efficacy of texture analysis. In addition, a logistic regression classification model was constructed based on dynamic enhanced MRI texture features, and the ROC curve was drawn to evaluate the diagnostic efficacy of the model for different molecular subtypes. ResultsThere were 11 cases of Luminal A type, 36 cases of Luminal B type, 14 cases of human epidermal growth factor receptor 2 (HER-2) overexpression type and 14 cases of triple negative breast cancer (TNBC). There was no significant difference in age, menopausal status, pathological classification, MRI enhancement and lymph node status among patients with different subtypes of breast cancer (P＞0.05). The AUC [95% confidence interval (CI)] values of Luminal A, Luminal B, HER-2 overexpression and TNBC were 0.92 (0.77-1.00), 0.83 (0.62-1.00), 0.83 (0.55-1.00) and 0.72 (0.43-1.00), respectively. There were statistically significant differences in the three texture parameters between Luminal A and non-Luminal A groups (P＜0.05). The AUC values of the three were 0.73, 0.70 and 0.75, respectively. When the texture feature 3D grey level co-occurrence matrix cluster shadow (3D_glcm_CS)＞0.439, the diagnostic efficiency of Luminal A type was the highest. There were significant differences in the two texture features between Luminal B group and non-Luminal B group (P＜0.05). When original gray level co-occurrence matrix cluster shadow (o_glcm_CS)＞0.169, the diagnostic efficiency of Luminal B type was the best. There were statistically significant differences in the five texture features between the HER-2 overexpression group and the non-HER-2 overexpression group. The AUC values were 0.76, 0.81, 0.79, 0.80 and 0.82, respectively. When 3D grey level size zone matrix small area low gray level emphasis (3D_glszm_SALGLE)≤-0.460, the diagnostic efficiency of HER-2 overexpression was the highest (AUC=0.82, P＜0.001). Only the difference of texture feature wavelet LH neighbouring gray tone difference matrix busyness (w-LH_ngtdm_B) between TNBC and non-TNBC was statistically significant, and the AUC value was 0.65. ConclusionsDCE-MRI texture analysis can noninvasively and effectively predict the molecular subtypes of breast cancer, which has important guiding value for the classification of preoperative molecular subtypes of breast cancer. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.008 ObjectiveTo evaluate the MRI characteristics of breast edema in idiopathic granulomatous mastitis and the associated clinical and radiological factors. Materials and MethodsThis retrospective study included 129 patients with idiopathic granulomatous mastitis (IGM) from January 2021 to December 2022 in our hospital. All patients were proved by biopsy or surgical pathology and underwent breast MRI before biopsy. The course of disease, serum prolactin (PRL) and vascular endothelial growth factor (VEGF) were collected. The presence or absence of retroareola involvement, the depth of breast involvement, the number of quadrants and the extent of involvement were analyzed from breast magnetic resonance images. Then the appearance of breast edema on T2WI images and breast edema score (BES) were evaluated. The differences in these clinical and radiological characteristics between with and without breast edema groups, and between no or slight breast edema and moderate to severe edema groups were compared with χ² test and t test. The logistic regression was used for multivariable analysis of significant variables. ResultsAmong the 129 patients with IGM, 124 cases involved unilateral breast and 5 cases involved bilateral breasts. And totally 139 breasts were analyzed. There were 127 breasts with breast edema (91.4%) and 12 breasts with no breast edema (8.6%). For BES estimation, there were 12 breasts with BES 1 (8.6%), 15 breasts with BES 2 (10.8%), 68 breasts with BES 3 (48.9%) and 44 breasts with BES 4 (31.7%). On multivariate analysis, the significant independent predictors for MRI breast edema features was extension of the lesion [P=0.003, odds ratio (OR)=1.091, 95% confidence interval (CI): 1.035-1.150], the significant independent predictors for the moderate to severe breast edema features were serum PRL, VEGF and extension of the lesion (P＜0.05), OR=22.807 (95% CI: 2.281-228.008), 24.140 (95% CI: 2.937-198.409), 1.102 (95% CI: 1.035-1.174), respectively. ConclusionsThe incidence of breast edema on MRI is high in IGM, and the degree of breast edema is related to the levels of serum PRL and VEGF and the extent of the lesion. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.009 ObjectiveTo establish and evaluate a predictive model of bi-parameter magnetic resonance imaging (Bp-MRI) radiomics for positive surgical margin (PSM) after radical prostatectomy for prostate cancer (PCa). Materials and MethodsThe imaging and clinical data of 105 patients who underwent laparoscopic radical prostatectomy via extraperitoneal route in Gansu Provincial People^,s Hospital were retrospectively analyzed, and they were classified into 40 cases with positive postoperative margins and 65 cases with negative postoperative margins by postoperative pathological findings. The dataset was partitioned into a training set (n=73) and a test set (n=32) in a 7∶3 ratio. Subgroup analysis was performed within both the training and test sets, comparing clinical and MRI data. Region of interest (ROI) was delineated using the ITK-SNAP software from T2WI, diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) sequences. The "Pyradiomics" package was utilized to extract a total of 312 features from these ROIs. The features were then subjected to dimensionality reduction and model construction using the least absolute shrinkage and selection operator (LASSO) algorithm. A predictive model was built based on a logistic regression (LR) classifier. The efficacy of the imaging model in predicting PSM after radical prostatectomy for PCa was evaluated using the area under the curve (AUC) of receiver operating characteristic (ROC). Additionally, decision curve analysis (DCA) was employed to assess the clinical net benefit of the model. ResultsTen radiomic features closely related to PSMs were ultimately selected. The LR model achieved an AUC of 0.869 (95% CI: 0.786-0.952) in the training set and an AUC of 0.858 (95% CI: 0.726-0.991) in the test set. The DCA indicated that the model offers a significant clinical net benefit. ConclusionsThe predictive assessment of positive margins after radical prostatectomy for PCa based on Bp-MRI radiomics is informative and helpful for clinical preoperative risk stratification and postoperative treatment. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.010 ObjectiveTo explore the value of T2-weighted imaging (T2WI), diffusion weighted imaging (DWI) and mean apparent diffusion coefficient (mADC) combined with cancer antigen 125 (CA125) in the differential diagnosis of uterine sarcoma and atypical leiomyoma. Materials and MethodsFrom January 2011 to February 2023, 59 patients with uterine sarcoma and 118 patients with atypical leiomyomas confirmed by pathology in our hospital were retrospectively analyzed. The imaging features of T2WI and DWI (including signal intensity of T2WI and DWI, maximum tumor diameter, mADC value) and clinical relevant information (including age, clinical symptoms, menopausal status and serum CA125) were collected. Mann-Whitney U test and chi-square test were used for univariate analysis, and then logistic regression was used to construct models based on T2WI, DWI sequence and serum CA125 alone or in combination. The receiver operating characteristic (ROC) curve was used to evaluate the performance of the prediction model, and the area under the curve (AUC), sensitivity and specificity of the model were calculated. ResultsThe preoperative serum CA125 levels in the uterine sarcoma group were significantly higher than those in the atypical leiomyoma group (P=0.043). On T2WI and DWI sequences, the solid component of uterine sarcoma showed more hyperintensity than that of atypical leiomyoma, and the mADC value was significantly lower than that of atypical leiomyoma (all P＜0.001). The optimal preoperative cut-off value for serum CA125 used to identify the two was 23.41 U/mL, and the optimal cut-off value for mADC was 1.165×10^-3 mm²/s. The combination of T2WI, DWI, mADC values and serum CA125 resulted in an AUC of 0.981, a sensitivity of 98.3% and a specificity of 92.4% (P＜0.001). ConclusionsT2WI and DWI sequences combined with serum CA125 can be used as an effective method to distinguish uterine sarcoma from atypical leiomyoma. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.011 ObjectiveTo explore the value of diffusion weighted imaging (DWI) for evaluating the early therapeutic efficacy of high intensity focused ultrasound (HIFU) in treating adenomyosis. Materials and MethodsThe clinical and imaging data of 82 patients underwent HIFU treatment for adenomyosis were retrospectively analyzed. Contrast enhanced MRI (CE-MRI) with DWI were performed before treatment and within 48 hours post-treatment. DWI signal performance and change of ADC values of post-operative lesions were observed. The morphology of DWI signal change areas was evaluated and classified into three types: type I, spot-like or no obvious signal change; type Ⅱ, patchy signal change; type Ⅲ, ring-like signal change. The volume of DWI signal change areas and the nonperfused volume (NPV) on CE-MRI were evaluated and the difference and correlation between them were analyzed. ResultsDWI showed that there were 3 cases of type I, 4 cases of type Ⅱ, and 75 cases of type Ⅲ in the signal change areas of the necrotic lesions, and the kappa value of inter-observer reliability reached 0.848 (P＜0.001). The volume of DWI signal variation zones was 41.24 (25.63, 85.21) cm³, and the statistical analysis revealed no significant difference in the inter-observer reliability (P=0.949). The NPV on CE-MRI was 41.71 (20.72, 87.03) cm³, which was not statistically significant difference in the concordance with the volume of signal change areas on DWI (P=0.932), and there was a significant positive correlation between them (r=0.975, P＜0.001). Whether the ablated necrotic area on DWI showed complete or incomplete signal ring, the volume measured on DWI was not significantly different from the NPV (P＞0.05). The post-operative ADC values were significantly higher compared with the pre-operative values (P＜0.001). ConclusionsDWI can effectively evaluate the early ablation effect of adenomyosis after HIFU, and it can make a reliable qualitative and quantitative evaluation of the occurrence and scope of ablation lesions. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.012 ObjectiveTo evaluate the therapeutic effect of Brucella spondylitis in the acute phase, we used dynamic contrast-enhanced MRI (DCE-MRI) combined with intravoxel incoherent motion (IVIM) quantitative parameters to observe the changes of various quantitative parameters during the disease treatment process and to select the best evaluation quantitative parameters. Materials and MethodsWe prospectively enrolled 30 patients with acute phase of first confirmed Brucella spondylitis. What^,s more, all patients underwent routine MRI, DCE-MRI, and IVIM scans 3 months after initial diagnosis and treatment. Measurement of volume transport constant (K^trans), extracellular volume fraction (V_e), rate constant (K_ep), slow diffusion coefficient (D), fast diffusion coefficient (D^*), and perfusion fraction (f) in the most significant area of the lesion (most significantly enhanced area) in a controlled study; We used SPSS 25.0 statistical software for data analysis, and all indicators showed a non-normal distribution, represented by the median ± interquartile interval (M±Q). Wilcoxon rank sum test was used for statistical analysis of various quantitative parameters. ResultsK^trans values were (0.53±0.02), (0.22±0.01) min^-1, V_e values were 0.45±0.01, 0.48±0.03, K_ep values were (1.18±0.04), (0.46±0.04) min^-1, D values were (0.53±0.01)×10^-3, (0.91±0.01) ×10^-3 mm²/s, D^* values were (6.01±0.26)×10^-3, (5.81±0.21)×10^-3 mm²/s, and f values were 0.32±0.04, 0.29±0.03, respectively, after the first diagnosis and treatment of Brucella spondylitis; The differences in K^trans, K_ep, and D values within the group were statistically significant (Z were -4.784, -4.783, and -4.786, respectively, with P＜0.01). ConclusionsThe first application of DCE-MRI combined with IVIM quantitative parameters to evaluate the treatment effect of Brucella spondylitis in the acute phase provides a more scientific and objective evaluation of the microenvironmental changes from a microscopic perspective, providing a new basis for guiding clinical medication. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.013 ObjectiveTo explore the feasibility of using magnetic resonance image compilation (MAGiC) parameters to quantitatively evaluate changes of sacroiliac joint in ankylosing spondylitis (AS), in order to provide a quantitative index for the evaluation of sacroiliac joint inflammatory activity in AS. And to evaluate the correlations of T1, T2 and proton density (PD) values with Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Spondyloarthritis Research Consortium of Canada (SPARCC) scores. Materials and MethodsA total of 78 AS patients with sacroiliitis and 35 healthy controls were enrolled. All patients were scanned using a GE SIGNATM Architect 3.0 T MRI scanner by T1WI, fat-saturated T2-weighted imaging (FS-T2WI) and MAGiC sequence of the sacroiliac joints. According to Ankylosing Spondylitis Disease Activity Score (ASDAS) scores and C-reactive protein (CRP), the 78 patients were divided into an active group (40 cases) and an inactive group (38 cases). The T1, T2 and PD values of the subchondral bone marrow were measured in the active group, the inactive group, and the healthy control group using the MAGiC sequence. The T1, T2 and PD values of the active, inactive, and healthy groups were compared using one-way analysis of variance (ANOVA). Receiver operating characteristic (ROC) curves were used to analyze the diagnostic efficacy of T1、T2 and PD values for sacroiliitis. The correlations of the T1, T2 and PD values with the BASDAI and SPARCC scores were analyzed using Spearman^,s rho. ResultsThe T1 values [(531.04±60.28) ms] in the active group were lower than those in the inactive group [(691.50±72.44) ms], and lower than those in the healthy control group [(933.23±100.98) ms], t=-11.517, P＜0.001. T2 and PD values in the active group [(119.00±9.56) ms, (86.03±14.79) pu] were both higher than those in the inactive group [(96.61±8.86) ms, (68.12±7.77) pu], and higher than those in the healthy control group [(78.94±6.20) ms, (53.71±6.69) pu], t=-15.332, 15.972, all P＜0.001; the area under the ROC curve (AUC) of T1, T2 and PD values between the active and inactive groups were 0.965 (95% CI: 0.949-0.991), 0.981 (95% CI: 0.970-0.998), 0.840 (95% CI: 0.842-0.923), respectively. The T1, T2 and PD values of the AS patients were positively correlated with BASDAI scores, and the correlation coefficients (r) were -0.771, 0.914 and 0.846 (all P＜0.001), respectively. And positively correlated with BASDAI scores, and the correlation coefficients (r) were -0.924, 0.915 and 0.938 (all P＜0.001), respectively. ConclusionsMAGiC parameters can be used to quantitatively assess the activity of AS, especially, T2 value can serve as a biological marker for the activity of sacroiliac arthritis, providing imaging basis for clinical diagnosis. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.014 ObjectiveTo investigate the value of 7.0 T magnetic resonance glutamate chemical exchange saturation transfer (GluCEST) imaging for assessing hippocampal glutamate changes in a rat model of radiation brain injury. Materials and MethodsThe experimental rats were randomly divided into control group (n=9) and radiation-induced brain injury (RBI) group (n=9). Rats in the RBI group were irradiated using an X-ray irradiator and subjected to a water maze experiment 4 weeks later. Chemical exchange saturation transfer (CEST) sequences were collected using 7.0 T small animal magnetic resonance and hippocampal glutamate concentrations were measured by high-performance liquid chromatography (HPLC). The t-tests were performed for differences in GluCEST and glutamate concentrations in the hippocampal brain regions between the two groups. Pearson correlation analyses were performed for the relationship between GluCEST and HPLC and between GluCEST and water maze. ResultsCompared to control group, rats in the RBI group had impaired cognitive function and reduced hippocampal GluCEST (P=0.008) after 4 weeks, and reduced glutamate levels were confirmed by HPLC measurements (P=0.003). Correlation analysis showed a positive correlation between glutamate concentration by HPLC and GluCEST (r=0.71, P＜0.001), and spatial memory also showed a consistent positive correlation with hippocampal GluCEST (r=0.50, P=0.034). ConclusionsGluCEST imaging visualizes and evaluates hippocampal glutamate changes of RBI rats and might be used as an imaging biomarker for metabolic changes in vivo, which might be useful for the monitoring and intervention of concomitant radiation damage after radiotherapy. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.015 ObjectiveTo examine the influence of artificial intelligence assisted compressed sensing (ACS) with different acceleration factors (AF) on the quality and phase value (PV) of gray matter nuclei in brain susceptibility weighted imaging (SWI), and to screen the optimal ACS acceleration factor. Materials and MethodsA total of 24 healthy volunteers were prospectively enrolled. They underwent axial SWI scans combined with parallel imaging (PI) and ACS, respectively, with acceleration factors PI AF=2.2 and ACS AF=3, 4 and 5. Two radiologists subjectively assessed images at the aspects of sharpness of nuclei^,s anatomic structure and boundary using a three-point scoring method (1-3, 3=best), and also objectively evaluated signal-to-noise ratio (SNR) and contrast-to-noiseratio (CNR). The PV of the head of caudate nucleus, putamen, globus pallidus, red nucleus, substantia nigra and dentate nucleis were measured and compared on the SWI phase images, and the SNR and CNR of the four images at different layers were calculated. The Cohen^,s Kappa test was used to test Inter-observer score consistency. In the following analysis, the Fisher^,s precision probability test exact was used to test the differences of the subjective scores of the same observer. ResultsThere were statistical differences of SNR, CNR and subjective scores among four groups of images (all P＜0.05). Paired comparison showed that the subjective scores of ACS 4 and ACS 5 were lower than PI 2.2 (all P＜0.001), while SNR and CNR were higher than PI 2.2 (all P＜0.05). There was no significant different in SNR, CNR and subjective scores between ACS 3 and PI 2.2 (all P＞0.05). Compared with PI 2.2, PV of the left PUT, bilateral RN and bilateral SN varied at ACS 4 (all P＜0.001), while PV of the right PUT became different when ACS 5 (P＜0.001). There was no significant difference in PV among the rest nuclei measured under all AF conditions (all P＞0.05). The inter-observer consistency of subjective scoring was good (Kappa: 0.704-0.864, all P＜0.001). ConclusionsACS can shorten the scan time of SWI without affecting imaging quality and PV results, and ACS 3 is the optimal acceleration factor. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.016 ObjectiveTo investigate the brain regions with abnormal neural activity in the patients with obstructive sleep apnea hypopnea syndrome (OSAHS), using regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuation (fALFF) of the rest-state functional magnetic resonance imaging (rs-fMRI) technique. Materials and MethodsA total of 30 male patients with OSAHS who were initially diagnosed and untreated by polysomnography (PSG) in the Department of Respiratory of Shiyan Renmin Hospital were collected, and 30 volunteers with normal sleep, similar age and education level monitored by PSG during the same period were selected as the normal control (NC) group. Rs-fMRI examination was performed to obtain blood oxygen level dependent (BOLD) signals. ReHo, fALFF are used to compare the OSAHS group with the NC group to find out the brain regions with significant differences. ResultsCompared with the NC group, the OSAHS group has significant differences between ReHo and fALFF (P＜0.001). The brain regions with increased ReHo value included left pons (t=3.94, P＜0.001), left anterior cerebellar lobe (t=4.68, P＜0.001) and right anterior cerebellar lobe (t=4.94, P＜0.001). The brain region with decreased ReHo value is none. The brain regions with increased fALFF value are left posterior lobe of the cerebellum (t=6.20, P＜0.001), left superior temporal gyrus (t=5.49, P＜0.001), and left fusiform gyrus (t=4.35, P＜0.001). The brain region with decreased fALFF value is left paracentral lobule (t=-4.12, P＜0.001). ConclusionsIn patients with OSAHS, the ReHo value and the fALFF value in multiple brain regions were changed. The ReHo value of some brain regions in OSAHS patients increased, and the brain regions that fALFF value changed were mostly concentrated in the left cerebral hemisphere. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.017 ObjectiveThe ratio of related metabolites in magnetic resonance spectroscopy (¹H-MRS) and the relative apparent diffusion coefficient (rADC), and relative fractional anisotropy (rFA) in diffusion tensor imaging (DTI) were evaluated. And the application value in high-grade gliomas (HGG) and brain metastatic tumors (BMT). Materials and MethodsThe MR Data of 43 patients with gliomas and brain metastases confirmed by histopathology and clinical follow-up were collected from October 2016 to February 2023, including 25 cases of high-grade glioma and 18 cases of brain metastases. All patients were examined by routine brain MRI, MRS, DTI and T1WI enhanced scan. Obtaining the choline (Cho)/N-acetyl aspartate (NAA), Cho/creatine (Cr), NAA/Cr ratio of the tumor parenchyma, peritumoral edema (＜3 cm), and the ADC and FA values of the tumor parenchyma, peritumoral edema (＜3 cm), and contralateral white matter in the workstation. Calculating the relative ADC (rADC) values and relative FA (rFA) values to eliminate the influence of individual differences. Comparing the ages, genders and permeability parameters (Cho/NAA, Cho/Cr, NAA/Cr, rADC, rFA ) of patients. In addition, the diagnostic values of each parameter were evaluated by the receiver operating characteristic (ROC) curve analysis, and the optimal cut-off values of each parameter as well as the corresponding sensitivity and specificity were calculated. The difference was statistically significant when P＜0.05. ResultsThere were no statistically significant differences in gender and age between HGG and BMT (P＞0.05). In the area of the tumor parenchyma, the values of Cho/NAA, NAA/Cr, and rFA between the two groups were significantly different (P＜0.05). There were no significant differences in Cho/Cr and rADC (P＞0.05). In the area of peritumoral edema, there were significant differences in quantitative parameters of Cho/NAA and Cho/Cr (P＜0.05). There were no significant differences in NAA/Cr, rFA, and rADC (P＞0.05). ROC curve showed that the quantitative quantitative parameters (Cho/NAA, NAA/Cr, and rFA) of the tumor parenchyma and the quantitative parameters (Cho/NAA, Cho/Cr) of the peritumoral edema were the most effective in the differential diagnosis of HGG and BMT. rFA was more efficient than other quantitative parameters. The diagnostic efficiency of combined quantitative parameters was the most significant with the maximum AUC of 0.934, and the corresponding sensitivity and specificity were 81.3% and 95.0%, respectively. ConclusionsThe quantitative parameters (Cho/NAA, NAA/Cr, Cho/Cr, and rFA) measured by ¹H-MRS and DTI were all helpful in distinguishing high-grade brain gliomas from brain metastases, and rFA was more efficient than other parameters. The combination of the quantitative parameters can further improve the diagnostic efficiency between high-grade glioma and brain metastatic tumor. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.019 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.020 ^,t an effective prevention and treatment measures. Moreover, the study of pathogenesis of ID seriously limited by the diverse pathogenic factors. In recent years, the prevalent application of MRI brain network research in neuropsychiatric diseases provides a new perspective for the study of the pathogenesis of ID. This article reviews the research findings on MRI brain network in children with ID in the past ten years, and explores the possible common characteristics and application prospects of brain network changes in children with ID for such disorders, in order to provide neuroimaging evidence for the study of the pathogenesis of children with ID. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.021 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.022 ^,s disease (PD). It usually appears in the early stage of the disease, seriously affecting the quality of life and increasing the burden of the disease. Neuroimaging has found a wide range of structural and functional abnormalities in the limbic system, especially the orbitofrontal lobe, anterior cingulate gyrus, amygdala and hippocampus are closely related to the pathophysiology of PD with depression (DPD). Therefore, taking the limbic system as a starting point, this paper reviews the MRI studies related to the changes of brain structure and function in DPD patients, in order to provide new ideas for future research. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.023 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.024 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.025 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.026 6-methylguanine-DNA methyltransferase (MGMT). Currently, the detection of MGMT promoter methylation status primarily relies on pyrosequencing, which is time-consuming and susceptible to tumor heterogeneity. In recent years, MRI radiomics and deep learning (DL) have been greatly developed, and the high-throughput data mining approach has partially addressed the issue of tumor heterogeneity. This article provides a review of the latest research progress and limitations of MRI radiomics and DL-based MRI radiomics, with the aim to inspire further research in order to achieve personalized and precise diagnosis and treatment for glioma patients. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.027 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.028 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.029 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.030 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.031 ^,one-stop shop^, approach. Our study comprehensively reviewed the characteristic features of FD in various CMR techniques, including tissue changes in the early stages of the disease. Furthermore, we emphasized the significant role of CMR in early diagnosis, risk stratification, prognosis assessment, and treatment monitoring in FD. The aim is to achieve early and accurate diagnosis of FD in the clinical practice, differentiate FD from other hypertrophic cardiac diseases, thus enabling early intervention and treatment for FD patients, ultimately improving prognosis. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.032 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.033 ^,s leading causes of cancer death, with hepatocellular carcinoma being the most common. In most cases, the cancer is advanced when hepatocellular carcinoma is diagnosed, so the prognosis for hepatocellular carcinoma is usually poor. MRI radiomics technology can combine imaging information and clinical risk factors to build a combination model for preoperative prediction and postoperative evaluation of hepatocellular carcinoma patients. This article reviews the application potential of MRI radiomics in microvascular invasion, prediction of recurrence, efficacy assessment and survival analysis in patients with hepatocellular carcinoma, and shows that MRI radiomics models have good predictive ability, guide patients and clinicians to choose the appropriate treatment plan to improve the survival rate of patients, and hope to provide more new ideas and new directions for future scientific research. ]]> Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.034 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.035 Wed,20 Dec 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.12.036 Wed,20 Dec 2023 00:00:00 GMT