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<title>Chinese Journal of Magnetic Resonance Imaging RSS feed</title>
<link>http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202001</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[Resting-state brain functional network study of type 2 diabetes mellitus]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.001</link>
<description><![CDATA[Objective: To utilize resting-state fMRI and network analysis techniques to explore brain functional network changes in type 2 diabetes patients. Materials and Methods: Twenty-four patients with type 2 diabetes and twenty-six healthy volunteers were scanned with 3.0 T MRI. The resting-state fMRI data was collected. The brain area of each participant was divided into 90 regions by an anatomical automatic labeling (AAL) template. Region was defined as a node in a complex network. The time series for each node was extracted and Pearson correlation coefficients determined among the time series of the brain nodes. Undirected networks of patients and controls were established using the same thresholds. Network parameters such as global efficiency, clustering coefficients, node degree distributions, and module organization were calculated. Results:The global efficiency and average clustering coefficients of patients were less than those of the controls for different thresholds (P＜0.05). There were a fewer number of nodes with a degree exceeding 8.5 in patient group than with the controls. The number of modules in the functional brain network of the patients was greater than that of the controls, the components of each module were altered in the patient group. Conclusions:Decreased global efficiency and clustering coefficients were found in diabetes patients. The number of modules and the components in each module were altered in diabetes patients, suggesting differentiation and reorganization of certain cortical functions related to the disease. Brain network analysis techniques provide a non-invasive way to evaluate the CNS changes of diabetes patients.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of FLAIR vascular hyperintensity in evaluating the outcome of stroke after non-reperfusion therapy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.002</link>
<description><![CDATA[Objective: To investigate the prognostic value of fluid-attenuated inversion recovery vascular hyperintensity (FVH) in outcome of stroke patients with mild symptoms and middle cerebral artery occlusion after non-reperfusion therapy. Materials and Methods: The stroke patients with mild symptoms [National Institute of Health stroke scale (NIHSS)≤5 score] who were admitted to our hospital from January 2017 to March 2019 were rolled prospectively. All patients underwent magnetic resonance imaging (MRI) before therapy and were diagnosed as middle cerebral artery occlusion in MR angiography (MRA). According to the presence or absence of FVH, FVH was divided into two groups: FVH (-) and FVH (+). Diffusion weighted imaging (DWI), infarct volume, 3-month functional outcome (mRS score) and clinical data were collected. Statistical analysis was performed to evaluate the prognostic value of FVH in outcome of stroke patients with mild symptoms and middle cerebral artery occlusion after non-reperfusion therapy. Results:In patients with non-reperfusion therapy (n=48), the FVH-DWI mismatch rate (23.81%), the poor outcome (14.29%) in FVH (-) group were lower than those in FVH (+) group (66.67%; 51.85%), and the difference was significant (t=8694, P=0.004; t=7.288, P=0.014). Compared with the good outcome group, the poor outcome group had lower FVH-DWI mismatch rate (23.81% vs 61.29%), larger DWI infarct volume (6.60±1.11 vs 4.43±2.20) and higher FVH (+) rate (82.35% vs 41.94%), there were significant difference (t=6.273, P=0.017; t=4.447, P=0.000; t=7.288, P=0.014). Logistic regression analysis showed that DWI infarct volume [OR (95% CI)]: 0.327 [(0.154—0.698), P=0.004], FVH [OR (95%CI)]: 6.462 [(1.536—27.179), P=0.011] and FVH-DWI mismatch [OR (95% CI)]: 0.099 [(0.025—0.389), P=0.001] were independently factors in outcome of stroke patients with non-reperfusion therapy. Conclusions: For stroke patients with mild symptoms and middle cerebral artery occlusion with non- reperfusion therapy, those with prominent FVH are more likely to have poor outcome than those without prominent FVH.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[Prognostic value of combined PET and MRI volume analysis in brainstem glioma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.003</link>
<description><![CDATA[Objective: To investigate the prognostic value of the 3-dimensional volumetric data assessed using MRI and 11C-labeled methionine (MET) PET combined with the presence of oligodendroglial component in patients with brainstem gliomas (BSG). Materials and Methods:Baseline pre-surgical brain 11C-MET PET and MRI scans were prospectively performed in 41 patients with BSG between March 2015 and July 2016, and all patients underwent neurosurgery in our institute. Three-dimensional volumetric data of contrast enhancement and metabolic tumor volume (MTV) was calculated by using contrast-enhanced T1 weighted images and PET images on post-processing station automatically, and then the enhancement volume (EV)-to-MTV ratio was calculated. The Kaplan-Meier method and Cox regression model were used to identify prognostic factors for overall survival. Results:BSG patients with EV-to-MTV ratios ≤50% demonstrated a significantly better survival at 3 months (P=0.015) and 12 months (P=0.018) following tumor resection compared to those with EV-to-MTV ratios＞50%. Furthermore, the EV (P=0.036), EV-to-MTV ratio (P=0.018), tumor grade (P=0.003), and adjuvant therapy (P= 0.003) were significant prognostic factors for overall survival in BSG patients. Conclusions:Patients with a lower EV-to-MTV ratio were more likely to achieve better prognosis than those with a higher ratio. In addition, this ratio might add more indicative prognostic value compared to single imaging index or pathological information.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[MRI typing study of microcystic meningiomas]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.004</link>
<description><![CDATA[Objective: To explore the MRI typing of microcystic meningiomas and improve the understanding of this disease. Materials and Methods: Twenty cases microcystic meningiomas confirmed by surgery and pathology was retrospectived analysis, 20 cases were performed by MRI plain scan and MRI enhanced scan in 16 cases. Results:Of the 20 cases, 9 cases (40.9%) were type 1 and 5 cases (22.7%) were type 2, and 6 cases (27.2%) were type 3. Nine cases type 1 were solid mass, low signal on T1 weighted image, and high signal on T2 weighted image. MRI enhanced scanning showed significant uniform enhancement of tumors. Five cases type 2 showed that similar cystic masses, significant low signal on T1 weighted image, significant high signal on T2 weighted image, MRI enhanced scanning tumor showed grid, flake, and radiation mild enhancement, of which 2 cases cystic non-enhanced areas at the edge of the tumor. Six cases type 3 were cystic solid masses, the solid area showed that a slightly lower signal on T1 weighted image, and slightly higher signal on T2 weighted image, the cystic area showed a low signal on T1 weighted image, high signal on T2 weighted image, enhanced scan the solid part of the tumors was significantly enhanced, the cystic part was not strengthened, and the cyst wall was slightly strengthened. Conclusions: MRI typing of microcystic meningioma has its respective characteristics, of which type 2 MRI finding was the most characteristic.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[Predictive value of temporal muscle thickness measurements on cranial magnetic resonance images in the prognosis of patients with primary glioblastoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.005</link>
<description><![CDATA[Objective: To investigate the predictive value of prognosis in patients with glioblastoma (GBM) by temporal muscle thickness (TMT) on three-dimensional MR images of the brain. Materials and Methods: One hundred and six primary GBM patients from the TCGA-GBM database were analyzed retrospectively. TMT was measured on three-dimensional MR images of the brain, and 30 patients were randomly selected for repetitive measurement by a second radiologist to calculate the inter-class correlation (ICC). The Kaplan-Meier curve was used to calculate the overall survival time of the patients. The median survival time was compared by Log-rank test. The Cox regression model was used for multivariate analysis. Results:TMT was reproducibly assessable on three-dimensional MR images, and the ICC calculated by two radiologists of the left and right side TMT were 0.878 and 0.895 (P＜0.001). Decreased TMT is a risk factor related to the prognosis in the patients with GBM, with a hazard ratio (HR) of 0.787 (95%CI 0.678—0.913; P=0.002; Cox regression model). That was the risk of death would increase by 21.3% with every millimeter decrease in TMT. Grouped by median TMT, patients with a TMT＞median showed a significant increase in survival time (17.4 months) compared to patients with a TMT＜median (9.4 months)(P＜0.001; Log-rank test). In the multivariate survival analysis using a Cox regression model, TMT (HR 0.850; 95%CI 0.734—0.984;P=0.03), tumor diagnosis age (HR 1.037; 95%CI 1.018—1.056;P＜0.001) and concurrent chemoradiotherapy (HR 0.567; 95%CI 0.371—0.868; P=0.009) were dramatically associated with survival time. Conclusions: TMT can be used as an independent predictor of survival prognosis in patients with primary glioblastoma and contributes to assess the survival time of them.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[The research value of quantitative study of parotid gland fat infiltration in early Sjogren<sup><sup>,</sup></sup>s syndrome patients by using 3.0 T MR IDEAL-IQ sequence]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.006</link>
<description><![CDATA[Objective: To quantitatively measure the fat fraction (FF) of parotid gland in patients with early Sjogren's syndrome and healthy volunteers by using 3.0 T MR IDEAL-IQ sequence, and to evaluate the infiltration of parotid gland fat, so as to provide a new diagnostic basis for the clinic. Materials and Methods: From January 2019 to July 2019, 31 female patients with early Sjogren's syndrome and 30 healthy female volunteers admitted to Qingdao municipal hospital were enrolled in the routine parotid MRI sequence scanning and the IDEAL-IQ sequence axial scanning. The GE ADW 4.6 workstation processing software was used to quantitatively measure the FF value of the parotid gland, and statistical analysis was performed on the FF values of the bilateral parotid glands in the early Sjogren's syndrome patients and healthy volunteers. Results:There was no significant difference in age and BMI between the two groups (P＞0.05). There were no differences on FF values in the left and right parotid gland in patients with early Sjogren's syndrome andhealthy volunteers (P＞0.05). The mean FF value of parotid gland in patients with early Sjogren's syndrome was significantly higher than that in the normal group (48.84±11.26 vs 32.15±6.58, P＜0.01). The mean FF 37.62 was taken as the optimal value for early Sjogren's syndrome diagnosis (AUC=0.92, sensitivity 0.88, specificity 0.81). Conclusions:The IDEAL-IQ sequence and FF value of parotid gland play a certain role in the diagnosis of early Sjogren's syndrome, which can provide valuable information for the diagnosis of early Sjogren's syndrome.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[The accuracy of non enhanced MRA in evaluating the relationship between central lung cancer and pulmonary hilar and mediastinal vessels]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.007</link>
<description><![CDATA[Objective: To investigate the expression of non-enhanced magnetic resonance angiography (MRA) in central lung cancer and its relationship with mediastinal vessels. Materials and Methods: Sixty patients who did not receive chemoradiotherapy and any other adjuvant anti-tumor therapy were enrolled in the study. The patients who underwent surgical pathology or bronchoscopy biopsy were included in the study. All patients underwent two-dimensional free-breathing TrueFISP sequence before surgery. Two-dimensional breath-holding TrueFISP Sequence and 3D respiration trigger SPACE sequence check. Image quality evaluation of the three imaging sequences included quantitative evaluation and qualitative evaluation. Finally, the morphological types of tumor-vessel relationships were classified into 1—6 types, and the type of morphological relationship between tumors and major blood vessels in each non-enhanced MRA method was evaluated and recorded. Results:There was no significant difference in CNR for the three non-enhanced MRA techniques. The VTR (P=0.000) and image quality (P=0.000) scores of the two TrueFISP techniques were higher than those of the SPACE technique. Three MRA techniques and enhanced MDCT were consistent in the evaluation of lung cancer and vascular relationship. Conclusions: Both TrueFISP and SPACE techniques can satisfactorily display the hilar and mediastinal vessels and accurately evaluate the relationship between lung cancer and large vessels, and have good consistency with enhanced MDCT results. The image quality and VTR of the TrueFISP sequence are slightly better than the SPACE sequence. In the evaluation of the relationship between lung cancer and the hilar and mediastinal vessels, the consistency with the enhanced MDCT results is slightly better.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on biological characteristics of rectal cancer based on magnetic resonance diffusion kurtosis imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.008</link>
<description><![CDATA[Objective: Based on magnetic resonance diffusion kurtosis imaging, the relationship between staging, differentiation, histological type, p53 and HER-2 was investigated. Materials and Methods: A retrospective analysis of 63 cases of rectal cancer patients from 2017 to 2019, MRI examination within one week before surgery, the examination sequence contain DKI imaging and the data obtained were imported into special software for analysis. The DKI parameter and postoperative pathological biological characteristics were obtained for statistical analysis. One-way ANOVA was used to compare the relationship between DKI parameters in histologic type, tumor stage, degree of differentiation, p53 and HER-2 group. The Kruskal-Wallis H test analyzes whether the biological characteristics of rectal cancer have an effect on DKI parameter. Spearman correlation coefficient analysis biological relationship and DKI parameter. The ROC curve was used to analyze the diagnostic efficacy of DKI parameter for p53 and HER-2 negative or positive, P＜0.05 was considered statistically significant. Results:(1) The histological type, tumor stage and degree of differentiation have different effects on DKI parameter. (2) MK and rectal cancer stage and differentiation were statistically significant, positively correlated with stage, and negatively correlated with degree of differentiation (r=0.285, -0.296). MD was negatively correlated with histological type (r=-0.375). There was a positive correlation between FA and p53, degree of differentiation (r=0.254, 0.256), and a negative correlation with rectal stage (r=-0.315, -0.399). (3) The area under the FA prediction p53 performance curve was 0.651, indicating a moderate diagnostic efficiency with a 95% confidence interval (0.502, 0.800). Conclusions: Significant correlations were found between the magnetic resonance diffusion kurtosis imaging and the biological characteristics of rectal cancer, which maybe guide for the prognosis and treatment options of rectal cancer.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[The diagnostic value of MR enterography and apparent diffusion coefficient in diffusion-weighted imaging for assessment of activity in Crohn disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.009</link>
<description><![CDATA[Objective: To investigate the diagnostic value of MR enterography and apparent diffusion coefficient (ADC) in diffusion-weighted imaging (DWI) for assessment of activity in Crohn disease (CD). Materials and Methods: Fourty-nine patients underwent examination on 3.0 T MR system to achieve the activity of CD. Clinical diagnosis was considered as the gold standard, to which the MR enterography achieved activities were compared. The manifestations under comparisons were wall thickening, increased enhancement, DWI and ADC values, stenosis, comb sign, enlarged lymph node, fistula, ulceration, cellulitis and abscess. ADC values of abnormal and normal bowel walls were compared by applying independent-sample t test. Results:A total amount of 116 abnormal bowel segments [mean (8.18±0.29) mm] were detected from 232 segments obtained by applying MR enterography. On T1-weighted fat-saturated images, 39 out of 41 abnormal bowel-wall manifested moderate or obvious enhancement. In activity of CD patients, stenosis with prestenotic dilatation was observed in 18 out of 41 patients. Comb sign was evident in 22 out of 41 patients. Enlarged mesentcric lymph node was observed in 19 out of 41 patients．Ulceration was detected in 21 out of 41 patients. Fistula was detected in 13 of 41 pailents. Abscess was detected in 2 out of 41 patients. On eDWl (b=1000), the normal bowel wall showed hyper-intensity. The ADC values of the activity and non-activity bowel wall were (0.89—1.31)×10-3 mm2/s and (1.51—1.90) ×10-3 mm2/s respectively. Moreover, there was observed statistically significant difference in mean ADC value between abnormal and normal bowel wall (t=7.997, P＜0.01). Using an ADC value of 1.145×10-3 mm2/s as the threshold value for differenting activity from non-activity, the best result obtained had a sensitivity of 100%, specificity of 73.2%. Sensitivity of MR enterography for the depiction of the activity of Crolm's disease was 97.4%, where specificity, positive predictive value and negative predictive value were 80.0%, 95.0%, and 88.9% (Kappa=0.832, P＜0.05) respectively. Conclusions: MR entrograpghy was acceptably effective in differentiating active and remissive Crohn disease.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[Diagnostic value of IVIM for benign and malignant identification of epithelial ovarian tumors and its correlation with ki67 expression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.010</link>
<description><![CDATA[Objective: To investigate the value of intravoxel incoherent motion (IVIM) parameters in the identification of epidermal ovarian tumors, and the correlation between ovarian cancer and ki67 expression. Materials and Methods: The data of MR plain scan, IVIM and routine enhancement examination of 73 patients with epidermal ovarian tumor (27 cases of benign tumor and 46 cases of malignant tumor) confirmed by surgical pathology were retrospectively analyzed. IVIM parameter values (ADC, Dslow, Dfast and f) were analyzed and measured, and the differences in each parameter between benign and malignant groups were compared. The ROC curve was drawn to evaluate the efficacy of various parameters in the differential diagnosis of epidermal ovarian tumors, and the diagnostic boundary value, sensitivity and specificity of each parameter were calculated. The correlation between IVIM parameter value and expression level of ki67 was analyzed. Results:ADC, Dslow and f values of the benign group were all higher than those of the malignant group (all P＜0.05). There was no statistical difference in Dfast between the two groups (P=0.059). Among them, ADC value has extremely high sensitivity and Dslow and f value have high specificity. Dslow value had the highest efficacy in differentiating benign and malignant ovarian tumors from epidermal tumors, with the area under the ROC curve being 0.934 (P＜0.01), the optimal threshold being 0.853×10-3 mm2/s, and the sensitivity and specificity being 85.2% and 87%, respectively. ADC, Dslow, and f were all negatively correlated with ki67 (P＜0.05), while Dfast was not significantly correlated with ki67 (P＞0.05). Conclusions: IVIM is helpful in identifying benign and malignant epidermal ovarian tumors, in which the sensitivity of ADC value is extremely high, while the specificity of Dslow and f value is high, which has certain reference significance for clinical diagnosis. Some IVIM parameters are related to the expression of ki67, so it can indirectly provide help for the prognosis assessment of ovarian cancer.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[An improved multi-echo field fitting algorithm in quantitative susceptibility mapping]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.011</link>
<description><![CDATA[Objective: To develop a new multi-echo field fitting algorithm to improve the image quality in quantitative susceptibility mapping (QSM). Materials and Methods: Conventional multi-echo field fitting algorithm may run into difficulty in the presence of poor linearity of phase data in QSM. In this study, we developed an improved multi-echo field fitting algorithm based on evaluation of phase linearity with echo time. Magnitude and phase images from 15 healthy participants were acquired. Conventional algorithm and improved algorithm were first used to perform the field fitting, respectively. After a magnitude map guided spatial field unwrapping and background field removal, the remaining tissue field was inverted to generate a susceptibility map. Substantia nigra, red nucleus, caudate nucleus, globus pallidus and putamen were selected as regions of interest. Non-parametric paired samples Wilcoxon signed rank test was conducted to compare the noise difference in the regions of interest on susceptibility maps with conventional algorithm and improved algorithm. Results:The proposed algorithm improved the accuracy of field fitting and reduced the image artifacts in susceptibility map. The noise of bilateral substantia nigra, right red nucleus decreased significantly. Conclusions:The proposed multi-echo field fitting algorithm can be used to improve the image quality of susceptibility map when poor linearity is present in phase data.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[Application of different radiomics dignostic models based on conventional MR images in the preprotive grading of brain gliomag]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.012</link>
<description><![CDATA[Objective: This study intends to use different MR images and different machine learning models to establish a radiomics diagnostic model of preoperative grading of gliomas, exploring the feasibility of radiomics diagnostic models in preoperative grading of gliomas. Materials and Methods: This study retrospectively analyzed 93 patients with glioma who underwent routine MRI examination before operation. They were divided into low-grade glioma (LGG group) and high-grade glioma (HGG group). DICOM format images were imported into GE-AK software. The regions of interest (ROI) of T2-weighted (T2WI) and T1-enhanced (T1CE) images were delineated by software features extraction. Histogram and texture features were imported into R language software package for feature preprocessing and dimensionality reduction. Then six machine learning models were established by selecting three functions. All the data were divided into training sets and training sets according to the ratio of 7∶3. The six models were trained by 10-fold cross-validation, and then the ROC curve was drawn to calculate the sensitivity, specificity and AUC of the classification of LGG and HGG. Results:The average age of LGG group was lower than that of HGG group (P＜0.01). There was no significant difference in gender composition between LGG group and HGG group (P＞0.05). The AUC of the six radiomics diagnostic models is greater than 0.8. The AUC of the radiomics diagnostic model based on T1 enhancement image is larger than that based on T2WI image, and the AUC of the RF model based on T1 enhancement image is the highest, reaching 0.97. Conclusions:The diagnostic model of imaging histology has good diagnostic value for the pathological grading of glioma. The diagnostic efficiency of six imaging histology models is higher, and the RF model based on T1CE image has the highest diagnostic efficiency.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[The neuroimaging progress of insomnia disorder]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.014</link>
<description><![CDATA[Insomnia disorder (ID) is a common sleep disorder, long-term chronic ID seriously affects the life and work of patients, and it also leads to cognitive impairment and affective disorder. Studies have shown that ID involves abnormalities in a wide range of brain regions. In recent years, neuroimaging techniques combined with different analytical methods have been widely used in ID research, which can objectively and indirectly reflect abnormalities in brain structure and functional activities, and can provide objective imaging evidence for ID neuro-pathophysiological mechanisms, and provide neuroimaging biomarkers for early diagnosis and efficacy evaluation of ID. Therefore, In this paper, we reviewed the application of neuroimaging technology in ID in recent years to understand its latest research progress.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[The neural mechanism underlying perceived stress: evidence from psych-magnetic resonance imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.015</link>
<description><![CDATA[Perceived stress refers to the extent to which situations in one's life were estimated as stressful, reflecting an individual's subjective perception and evaluation for stressors. Previous studies have shown that higher perceived stress increases the risk of physical disease and psychological disorder. In recent years, using magnetic resonance imaging technology to explore the neural mechanism of perceived stress, researchers have obtained significant results. On the one hand, higher perceived stress was not only associated with decreased volume in the prefrontal cortex and its local brain regions (including the orbitofrontal cortex, dorsolateral prefrontal cortex, anterior cingulate cortex and medial prefrontal cortex) and the hippocampus, but it also associated with increased volume in amygdala. On the other hand, higher perceived stress was associated with abnormal activation and functional connectivity in the medial prefrontal cortex, dorsolateral prefrontal cortex, subgenual anterior cingulate cortex and amygdala. Among them, the synergy between the anterior cingulate cortex, the medial prefrontal cortex and the regions of the limbic system (hippocampus and amygdala) in the processing of perceived stress might be an important neural basis for perceived stress.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in magnetic resonance technology for idiopathic normal pressure hydrocephalus]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.016</link>
<description><![CDATA[Along with our country, China, entering an aging society, the incidence of idiopathic normal pressure hydrocephalus (iNPH) is increasing. The epidemiological and clinical status of iNPH is similar to that of Alzheimer’s disease (AD), Parkinson's disease (PD) and other neurodegenerative diseases. bringing heavy burden to society and family. Now NPH is considered to be the first treatable dementia. This review summarizes the current research status of magnetic resonance multimodal technology in idiopathic normal pressure hydrocephalus from six aspects: routine magnetic resonance imaging, cerebrospinal fluid flow imaging, diffusion tensor imaging, spectral imaging, elastography and BOLD functional imaging.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[Clinical application progress of MRI-based radiomics in gliomas]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.017</link>
<description><![CDATA[Radiomics is a continuously evolving, noninvasive radiomics technique to quantify macroscopic tissue heterogeneity indirectly linked to microscopic tissue heterogeneity beyond human visual perception. In recent years, research on radiomics has been increasing and is widely used in oncology. Moreover, the extracted image features can also be studied in combination with genomics, proteomics, metabolomics. With the development of computer technology, it could potentially develop into a valuable clinical tool in routine oncologic imaging. In this paper, the basic concept of radiomics and various clinical applications of MRI-based radiomics in gliomas are reviewed in recent years.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of apparent diffusion coefficient and ki67 in gastric cancer staging and Lauren classification]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2020.01.018</link>
<description><![CDATA[Preoperative assessment of patients with gastric cancer (GC) is critical to their prognosis, which greatly affects the long-term quality of life. Imaging and biological makers, the important parts of preoperative assessment, provide a lot of information for diagnosis and treatment strategy of gastric cancer. The magnetic resonance imaging (MRI) and ki67 occupy an irreplaceable position. MRI can not only evaluate tumor infiltration, but also have unique advantages in the evaluation of lymph node and distant metastasis. Diffusion-weighted imaging (DWI), one of MRI functional imaging, based on its apparent diffusion coefficient (ADC) value, is widely recognized in the evaluation of malignant tumors. ki67 expression index as a prognostic factor for malignant tumors, is closely related to the prognosis of gastric cancer patients. Similarly, postoperative pathological typing is also an important basis for clinicians to make prognosis and chemotherapy regiments. However, there is little research on the relationship among the three aspects, and further research is needed in future.]]></description>
<pubDate>Mon,20 Jan 2020 00:00:00  GMT</pubDate>
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