http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202203 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.1674-8034.2022.03.001 6-methylguanine-DNA methyltransferase (MGMT) promoter methylation in gliomas before operation. Materials and Methods: The MR data of 114 patients with gliomas confirmed by pathology were analyzed retrospectively, including T1WI, T2WI, ADC and Gd-enhanced T1WI. Among them, 58 cases were MGMT promoter methylation and 56 cases were MGMT promoter unmethylation. All patients were randomly divided into training set (91 cases) and validation set (23 cases) according to the 8∶2 ratio. Three dimensional manual segmentation was performed on tumor edema zone and tumor core zone respectively on T2WI and Gd-enhanced T1WI. A total of 688 radiomics features were extracted. Principal component analysis was used for feature dimension reduction and analysis of variance was used to select features. Support vector machine (SVM), Logistic regression (LR), Lasso^,s Logistic regression via Lasso (LR-Lasso) and Bayesian classifier (native Bayes, NB) were used to build a diagnostic model. The validation data set was used to evaluate the accuracy and diagnostic efficiency of the model prediction with 5-folder cross validation. The ROC curve was drawn to dynamically evaluate the sensitivity and specificity of the model prediction, and the area under curve (AUC) statistical index was used to quantify the prediction efficiency of the model. Results: The AUC value and accuracy of LR model were 0.90 and 91%, the sensitivity and specificity were 92% and 91%, the AUC value and accuracy of LR-Lasso model were 0.80 and 74%, the sensitivity and specificity were 67% and 82%, the AUC value and accuracy of SVM model were 0.89 and 87%, the sensitivity and specificity were 83% and 91%, the AUC value and accuracy of NB model were 0.69 and 74%, the sensitivity and specificity were 75% and 72%. The performance based on LR model was the highest. Conclusions: The diagnostic model of multimodal MRI radiomics parameters could be used to predict the status of MGMT promoter methylation in glioma before operation. Among the four models, LR model has the highest prediction performance.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.002 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.003 ^,s disease (PD). Materials and Methods: Eighty-three PD patients with normal cognition at baseline were included from the Parkinson^,s Progression Markers Initiative (PPMI) database, and all completed a 4-year follow-up. Among the 83 PD patients, 26 developed mild cognitive impairment (PD-MCI) and 57 retained normal cognition (PD-NC). Graph theory was utilized to evaluate the structural WM networks alterations in PD-MCI, and receiver operating characteristic analysis followed by stepwise logistic regression were performed to assess the predictive performance of network topology properties and cognitive measures. Results: The patients with PD-MCI showed longitudinal decreased global efficiency and local efficiency, increased characteristic path length (P＜0.05). Locally, patients with PD-MCI exhibited longitudinal reduced nodal centralities, mainly in the frontal, temporal, occipital, parietal and striatal-limbic system regions over time (P＜0.05). Moreover, the longitudinal decline in the degree centrality and nodal efficiency of the right medial orbital superior frontal gyrus, and patient Montreal Cognitive Assessment and Letter–Number Sequencing scores predicted the development of cognitive impairment in early-stage PD (P＜0.01). Conclusions: The current study indicates that local network properties in the right medial orbital superior frontal gyrus can predict the onset of cognitive impairment in PD, and highlighting the value of network topology properties as sensitive biomarkers of cognitive decline in early-stage PD patients.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.004 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.005 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.006 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.007 ^,s clinical relevance. Materials and Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data were obtained from 20 acute RRMS, 35 remitting RRMS and 20 healthy controls (HC), after the Cohe-ReHo calculation of the rs-fMRI scan, ANOVA and followed Post-hoc analysis was used for comparison between groups; a partial correlation analysis was followed performed on the Cohe-ReHo value in regions with significant differences between groups and the Expanded Disability Status Scale (EDSS), the Paced Auditory Serial Addition Test-3s (PASAT-3s) and the disease duration. Results: Compared with HC, acute and remitting RRMS all showed decreased Cohe-ReHo in the bilateral anterior cingutate and left superior frontal gyrus (P＜0.001); compared with HC or remitting RRMS, acute RRMS showed increased Cohe-ReHo in the right cuneus and middle occipital gyrus (P＜0.001). EDSS was negatively correlated with the Cohe-ReHo of the left superior frontal gyrus in acute RRMS (r=-0.493, P= 0.037) and the PASAT-3s was negatively correlated with the Cohe-ReHo of the left superior frontal gyrus in remitting RRMS (r=-0.382,P=0.028). Conclusions: Both acute and remitting RRMS patients have disease-related brain dysfunction, while the acute RRMS patients mobilized more brain regions involving visual information processing in an attempt to maintain functional stability.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.008 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.009 ^,s area (Broca44), Primary sensory area (S1), and Hippocampus (Hippoc)^,s consistency coefficients were 0.636, 0.780, 0.977 in macaques, and in humans, the consistency coefficients were 0.781, 0.726, and 0.607. Among species, the cosine similarity calculation results of Broca44 area, S1 area, and Hippoc area were 0.979, 0.994, and 0.995. Conclusions: Tracing white matter fiber tracts at the individual level and constructing connectivity fingerprints for cross-species research between humans and macaques is effective, and this result supports the construction of a cross-species comparison framework between humans and macaques.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.010 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.011 ^,s disease (AD). However, the changes in resting-state functional connectivity (rsFC) patterns of the two systems vary across the progression of AD. We aimed to use meta analysis to explore rsFC changes of AD and mild cognitive impairment (MCI) based on the DMN and hippocampus as seeds. Materials and Methods: A standardized meta analysis procedure was adopted to systematically review articles from PubMed and Web of Science. A total of 12 seed-based whole-brain voxel-wise rsFC studies were finally entered into meta analysis by using signed differential mapping (SDM). Results: Compared with healthy controls (HC), we found AD show significantly decreased rsFC in the medial prefrontal cortex (MPFC) by using the hippocampus as the seed region. Using DMN regions as the seed, we found AD show decreased rsFC in the MPFC, rolandic operculum, hippocampus and parahippocampus; while MCI show decreased rsFC in right posterior cingulate cortex (PCC), also with increased connectivity in the right precentral gyrus. Conclusions: Reduced rsFC between the hippocampus and MPFC of anterior DMN is an important imaging feature for AD, while MCI mostly impairs the connectivity of the PCC in the posterior DMN and shows compensatory enhancement in the precentral gyrus (sensorimotor area). The results clarified the different rsFC patterns of DMN and hippocampus alterations in AD and MCI, and provided imaging reference for the recognition of AD and the evaluation of intervention effect.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.012 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.013 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.014 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.015 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.016 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.017 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.018 ^,s exact probability method was used to test the difference between MRI and first CT. Results: The rib micro-fractures were divided into two types. Type Ⅰ rib fractures showed cortical fracture with callus formation, whereas type Ⅱ had an intact cortical bone with intraosseous callus formation. Type Ⅰ fracture showed bone marrow edema with subperiosteal effusion in MRI, whereas type Ⅱ showed bone marrow edema without subperiosteal effusion. Ninety-one rib micro-fractures were confirmed by CT rescanning, of which 86 (94.51%) were type Ⅰ fractures and 5 (5.49%) were type Ⅱ. MRI identified 90 fractures, of which 3 were false positive, with the diagnostic accuracy rate of 92.55% and sensitivity rate of 95.60%. Among them, type Ⅰ fractures (n=85, 3 were false positive) showed "sandwich" sign (heterogeneous high-signal shadow within bone marrow of the inner layer, low-signal bony cortex of the middle layer, and high-signal subperiosteal effusion of the outer layer) in fat pressing sequences; type Ⅱ fractures (n=5) displayed intramedullar high-signal intensities and no subperiosteal effusion. Fifty-five fractures (all type Ⅰ) were discovered in the initial CT examination, and corresponding diagnostic accuracy rate and sensitivity rate were 60.44%. There was significant difference in the number of fractures detected by MRI and initial CT (P=0.027). Conclusions: MRI has high sensitivity and accuracy in the diagnosis of rib micro-fractures, so it can be used as a routine supplementary examination besides CT for patients with mild chest trauma.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.025 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.026 ^,s diseases; (3) Concentration: building a more child-friendly diagnostic imaging standard based on the fusion of multi-center results and the big data connecting; (4) Gleaning: sharing experience about identifying imaging characteristics and differential diagnosis in pediatric congenital and rare diseases. This article reviewed the main scientific reports about pediatrics in RSNA according to anatomy.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.027 ^,Image-based physiological Age^, was first time raised; (3) AI empowers imaging, from laboratory to clinical applications, including early diagnosis, risk assessment, prognostic prediction, clinical decision support and automatic intelligent measurement, etc; (4) Application of AI also meets challenges such as data ^,black box^,, model applicability, data management and legal liability. AI related studies published in recent years and 2021 RSNA were reviewed in this article.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.028 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.029 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.030 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.031 ^,s disease with a high incidence. Due to the lack of objectively quantified diagnostic gold standard, the diagnosis of SCD is mainly through clinical evaluation, which is prone to misdiagnosis and delayed treatment. This article reviewed the application of structural magnetic resonance, functional magnetic resonance, diffusion tensor imaging, and arterial spin labeling in the brain structure and function of patients with SCD. The dynamic progression trend of SCD was confirmed by multimodal MRI, providing more information for the diagnosis of SCD, the assessment of the severity of cognitive decline and the prognosis of SCD.]]> Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.032 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.033 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.034 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.035 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.036 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.037 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.038 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.039 Sun,20 Mar 2022 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.03.040 Sun,20 Mar 2022 00:00:00 GMT