http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202208 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.1674-8034.2022.08.001 ^,s disease neuroimaging initiative (ADNI) database. Patients with MCI were retrieved and patients with progressive MCI were screened according to the follow-up results, and patients with stable MCI with matched gender and age were selected as the control group. Based on independent component analysis (ICA), rs-fMRI was processed and independent components (IC) of interest were extracted. The dFC analysis was performed by sliding time window method, and k-means clustering and elbow method were used to divide dFC matrix into several representative dFC states. The changes of dFC states were compared between progressive and stable MCI groups, and dFC feature parameters (fraction time and dwell time for each state, and the times of transition between states) were compared between the two groups. Results: Twenty-three patients with progressive MCI and twenty-six patients with stable MCI were included in this study. A series of real-time dFC matrix were divided into four kinds of dFC states: sparse connection state-a, strong local connection state, sparse connection state-b and strong positive-connection state. Compared with the stable MCI group, fraction time and dwell time in strong local connection state decreased significantly in patients with progressive MCI (P=0.049, P= 0.049), fraction time and dwell time in sparse connection state-b increased significantly in patients with progressive MCI (P=0.045, P= 0.033). Conclusions: Compared with the stable MCI, patients with progressive MCI showed a characteristic of increasing strong local connection state and decreasing sparse connection state. The rs-fMRI-based dFC analysis can objectively reflect the changes of brain function in patients with progressive and stable MCI, and may be helpful in differential diagnosis of progressive MCI from stable MCI.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.002 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.003 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.004 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.005 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.006 ^,s t test and Mann-Whitney U test) and the least absolute shrinkage and selection operator were used to screen the optimal features. Three prediction models were established based on decision tree, support vector machine and logical regression machine learning methods, respectively. The prediction performance of the model was evaluated by using the area under the receiver operating characteristic curve (AUC), the Hosmer-Lemesow test and the calibration plot were performed for the goodness of fit test of the model. Results: There was no significant difference in clinicopathological characteristics (age, sex, tumor location, histological grade, CA199, T stage) between lymph node metastasis positive group and negative group, training group and validation group (P＞0.05). A total of 1223 features were extracted based on 3D-ROI. After dimensionality reduction, five optimal features for predicting lymph node metastasis were obtained and then the model was established. In the training group, the AUC of support vector machine model, decision tree model and logical regression model were 0.882 [95% (confidence interval, CI): 0.797-0.968], 0.842 (95%CI: 0.755-0.930) and 0.813 (95% CI: 0.710-0.915) respectively. In the validation group, the AUC of the three models were 0.726 (95%CI: 0.546-0.906), 0.753 (95% CI: 0.606-0.899), 0.702 (95% CI: 0.522-0.883). Delong test showed that there was no significant difference between the three models (P＞0.05). Three models were analyzed using the Hosmer-Lemesow test and performed well (P＞0.05). Conclusions: The radiomics model based on T1WI arterial phase images has a certain value in predicting lymph node metastasis in PDAC.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.007 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.008 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.009 ^, measurements was good (ICC＞0.75). The R2* value and T2 value of the MSI group were higher than those of the microsatellite stabilization (MSS) group, and the T2* value of the MSI group was lower than that of the MSS group, and the differences were statistically significant (P＜0.05). The AUC values of R2* value, T2* value, T2 value and the combined parameters for evaluating the MSI status of EC were 0.773, 0.761, 0.780 and 0.939, respectively; the results of Delong test showed that there was no significant difference in the AUC of each single parameter for evaluating the MSI status of EC (P＞0.05). There is a statistically significant difference between the AUC of the combined parameter to assess the EC MSI status and the AUC of the single parameter to assess the EC MSI status (P＜0.05). Conclusions: Both mDixon-Quant and T2 mapping multi-parameter imaging can quantitatively evaluate EC MSI status. The combination of the two can significantly improve the prediction performance and has a good clinical application prospect.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.010 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.011 ^,s verbal fluency decline.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.012 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.013 ^,s Hospital from August 2020 to December 2021 were selected to the T2DM group and 22 healthy controls recruited from the community (sex, age and education level matched with patients in the T2DM group) were selected to the normal control group. Both groups underwent 3.0 T MRI scans, and then applied DPABI_V4.0 software and SPM8 to preprocess the MRI data, the differences in whole brain mirror homologous connections between the two groups of subjects were analyzed by the VMHC method, the differences in VMHC values between the two groups were analyzed by a paired two-sample t-test and the correlation between mean standardized VMHC values and fasting glucose values in significantly different brain regions was analyzed. Results: Compared to healthy controls, VMHC values were higher in the diabetic group (GRF corrected, P＜0.001 for voxel level, P＜0.05 for cluster level) in both cerebellar lobule Ⅸ regions, and the mean standardized VMHC values in the differential brain regions did not correlate significantly with fasting glucose values (P＞0.05). Conclusions: The abnormalities in the functional connectivity of the bilateral cerebellar hemispheres with homunculus in T2DM patients may provide a reference for the pathogenesis of brain injury in T2DM patients.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.014 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.015 ^,s MRA scores, Chi-square test was used to evaluate the prevalence of large vessel involvement and the correlation between the patterns of cerebral infarction and the degree of large vessel stenosis in different groups, and Spearman correlation analysis was used to investigated the relationships between MRA scores and cerebral infarction patterns. Results: Among the 101 MMS patients, 42 were in the infarction group (48 hemispheres), and 59 were in the non-infarction group (102 hemispheres), the infarct patterns were pial artery infarct (29.2%), perforating artery infarct (16.7%), border-zone infarct (16.7%), and multiple infarcts (37.5%). There were no significant difference in the prevalence of ACA, MCA and ICA involvement in the cerebral hemisphere of MMS between the infarct side and the non-infarct side (all P＞0.05), the prevalence of PCA involvement on the infarct side was significantly higher than that on the non-infarct side (64.6% vs. 30.4%, P＜0.05). The proportions of pial artery infarct and multiple infarcts in PCA severe stenosis or occlusion group (40%, 50%) were significantly higher than that in normal group and mild to moderate stenosis group (all P＜0.05). Correlation analysis showed that there was a positive correlation between MRA scores and multiple infarcts (r=0.648, P＜0.05). Conclusions: PCA involvement leads to a higher incidence of cerebral infarction in MMS patients, which is presumed to be a related factor causing cerebral infarction. Pial artery infarct and multiple infarcts are the most common infarct patterns in severe stenosis or occlusion of PCA, and there is a certain correlation between MRA scores and multiple infarcts.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.016 ObjectiveTo investigate the clinical value of MRI texture analysis based on gray-level co-occurrence matrix (GLCM) in differentiating intraspinal meningioma and schwannoma. Materials and MethodsThirty-two cases of intraspinal schwannoma and 26 cases of meningioma confirmed by pathology were analyzed retrospectively. The region of interest (ROI) of the largest layer of the tumor was selected in T2WI and contrast-enhanced T1WI sagittal images by using imageJ software, and the GLCM texture parameters of the lesions were extracted. ResultsThe differences of tumor parameters between the two groups were compared, and the diagnostic efficiency of each parameter was evaluated. There was a significant difference between the two groups (P＜0.05); there was significant difference in energy, contrast, correlation and entropy between the two groups in contrast-enhanced T1WI sequence (P＜0.05). The energy and correlation of schwannoma group were less than that of meningioma group, the contrast and entropy were greater than that of meningioma group, and there was no significant difference between inverse gap groups (P＞0.05). ROC curve analysis showed that the entropy in T2WI sequence and the energy diagnosis efficiency in contrast-enhanced T1WI sequence were the best. The joint diagnosis of texture parameters by logistic regression analysis has improved the diagnosis efficiency compared with that of single parameter. ConclusionsMRI texture analysis based on GLCM has certain clinical value in the differential diagnosis of intraspinal meningioma and schwannoma. ]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.022 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.023 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.024 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.025 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.026 ^,s principle of electromagnetic induction. With the advantages of non-invasive, safe, and well-tolerated, TMS has made great progress in the clinical application of neurological psychiatric, and psychiatric disorders. However, it remains to be explored in the fields of the selection and localization of the stimulation target, the effects of TMS on the brain network functional connectivity, and how the brain network status affects the clinical outcome of TMS. Blood oxygen level-dependent functional magnetic resonance imaging (fMRI) can detect brain activity in the deep brain area with high spatial resolution, non-invasiveness, and no radiation. With such advantages of fMRI, the combination of fMRI and TMS (fMRI-TMS) has been increasingly put into clinical application and neuroscience research. This paper reviews the research of fMRI-TMS in the precise and personalized localization of TMS targets and its influence on the brain network. It also introduces the limitations and prospects of fMRI-TMS in brief.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.027 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.028 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.029 6-methylguanine-DNA-methyltransferase (MGMT), telomerase reverse transcriptase (TERT), epidermal growth factor receptor (EGFR) and the like. Multimodal MRI such as diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging (NODDI), mean apparent propagator (MAP)-MRI , amide proton transfer (ATP) imaging and 2-hydroxyglutarate magnetic resonance spectroscopy (2HG-MRS) can predict glioma genotyping from various aspects, thus guiding the next step treat. The T2-fluid attenuated inversion recovery (FLAIR) mismatch sign is a highly specific, low-sensitivity imaging marker for IDH-mutant astrocytoma with considerable potential for clinical application. This article reviews the research progress of these MRI techniques and T2-FLAIR mismatch sign in glioma genotyping.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.030 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.031 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.032 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.033 ^,s health worldwide. The high heterogeneity of breast cancer makes it difficult to accurately assess it, which is not conducive to the practice and development of its personalized treatment. Tumor angiogenesis is involved in the formation of tumor heterogeneity and plays a key role in breast cancer treatment response, prognosis and recurrence. How to better use tumor angiogenesis to evaluate the occurrence and development of breast cancer and promote precise treatment is an urgent clinical problem to be solved. As a new research field, breast MRI radiomics has the advantages of high-throughput extraction and quantitative analysis, which can not only non-invasively extract biologically relevant information of tumors and their new blood vessels, but also further realize the characterization of tumor angiogenesis-related factors and pathways at the molecular and gene levels. Therefore, breast MRI radiomics has great potential in evaluating tumor angiogenesis. In this paper, the relationship between breast MRI radiomics and the occurrence and development of breast cancer and tumor neovascularization are expounded, in order to provide new ideas for clinical accurate diagnosis and treatment.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.034 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.035 ^,s disease (CD) is a kind of recurrent inflammatory bowel disease which has unknown etiology. A growing number of researches suggest that the brain-gut axis plays a critical role in the development of this disease, and some patients present clinical symptoms such as anxiety, depression, and psychological disorders. However, long-term anxiety, depression or high psychological stress may lead to the recurrence of the disease. Therefore, the psycho-psychiatric status of the patients should be high valued in the treatment process. Currently, functional magnetic resonance imaging, which includes task state and resting state, has been widely used to study structural and functional aspects of the brain, and some progress has been made. This article reviews the progress of MRI research on structural and functional brain alterations in patients with CD, so as to provide a neuroimaging basis for further optimizing the treatment strategies of these patients.]]> Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.036 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.037 Sat,20 Aug 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.08.038 ^, treatment efficacy and prognosis, so as to achieve the purpose of precision treatment. The continuous development of technologies such as deep learning and artificial intelligence has also breathed new life into the development of radiomics, this paper aims to review the research progress of radiomics in lung cancer, breast cancer and other malignant tumors in targeted therapy and the current prospects, and summarize the current problems and solutions of radiomics.]]> Sat,20 Aug 2022 00:00:00 GMT