http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202111 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.1674-8034.2021.11.001 ^,s disease (PD) and its correlation with the development of PD. Meterials and Methods: Thirty PD patients and 22 normal controls were prospectively collected for DTI scanning. The fractional anisotropy (FA) diagrams of the two groups were obtained by post-processing. The regions of interest (ROI), including bilateral caudate head, globus pallidus, putamen, substantia nigra, red nucleus, dentate nucleus and centrum semiovale, were delineated by ITK-SNAP software. The texture features were extracted by A.K software. The Mann Whitney U test, Univariate logistic regression analysis, mRMR (maximum relevance minimum redundancy) was applied to select 5 texture features with the highest joint diagnostic efficiency, and random forest (RF) was constructed. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic efficiency of the model; besides, the cross-validation method was employed to verify the reliability of the model. In addition. The texture features obtained by dimensionality reduction were analyzed by Pearson correlation with mini mental state examination (MMSE), unified Parkinson^,s Disease Rating Scale (UPDRS) and course of disease, and Spearman correlation with Hoehn-Yahr (H-Y) stages. Results: Five texture features were obtained after dimensionality reduction, and AUC (area under the curve) of independent prediction of Parkinson^,s disease was ranging from 0.692 to 0.871 by ROC analysis. The AUC, accuracy, sensitivity and specificity of the Parkinson^,s disease prediction model were 0.92, 0.86, 0.89, 0.84, respectively. The accuracy, sensitivity and specificity of cross-validation were 0.89, 0.84, 0.94, respectively. No significant correlation was found between the five texture features and the clinical scale of disease. Conclusions: Texture analysis based on DTI has a high diagnostic value for PD. However, the value for evaluating the disease development is limited.]]> Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.002 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.003 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.004 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.005 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.006 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.007 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.008 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.009 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.010 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.011 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.012 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.013 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.014 ^,s index were 0.4830, 0.6250, 0.6288. Pairwise comparison of ROC curves of each model, the P values were 0.3425, 0.0394, 0.2348 for T2WI vs. ADC, (T2WI+ADC) vs. T2WI, (T2WI+ADC) vs. ADC respectively. Conclusions: Whole-lesion histogram analysis of T2WI and ADC gray-level images may assist in differentitating between UCL and UL-D patients. The combined model of ADC and T2WI created larger AUC than other models, but was not superior to ADC variables.]]> Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.015 ^, measurement results of the parameters of the two groups. The differences of each parameter value of the two groups were compared by using the independent sample t test or Mann Whitney U test. ROC curve was used to evaluate the efficiency of the parameters with statistical difference evaluating the expression of Her-2 gene in EC. Area under the curve (AUC), corresponding cut-off value, sensitivity and specificity were calculated. Results: The data measured by two observers were consistent (ICC＞0.75).The values of APT, R2* and FF in the Her-2 positive group were 2.850% (2.300%, 2.900%)、 (17.102±2.333) Hz and 1.629%±1.086%, respectively. The above parameters were 2.313%±0.415%、(15.134±1.854) Hz and 1.476%±1.131% respectively in the Her-2 negative group. The APT, R2* values of Her-2 positive group were higher than those in the Her-2 negative group, the difference was statistically significant (P＜0.05). There was no statistically significant difference in FF values between the two groups (P＞0.05). The AUC of APT, R2* values in evaluating the expression of Her-2 gene in EC were 0.755 and 0.739, the cutoff value were 2.475% and 16.503 Hz, the sensitivity were 72.7% and 63.6%, the specificity were 80.0% and 86.7%, respectively. Conclusions: APTw and mDIXON-Quant have the potential to evaluate the expression of EC Her-2 gene half quantitatively, and have certain clinical application value.]]> Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.016 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.022 ^,s disease (PD). The symptoms of patients with Parkinson^,s disease include motor symptoms and non-motor symptoms. Supplementary motor area (SMA) is related to the pathophysiology of Parkinson^,s disease. In this review, we summarize rs-fMRI studies related to SMA in PD patients, reflecting changes in brain network reorganization and adaptation to track and predict the progression of Parkinson^,s disease.]]> Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.023 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.024 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.025 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.026 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.027 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.028 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.029 Sat,20 Nov 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.11.030 Sat,20 Nov 2021 00:00:00 GMT