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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=201806</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[Application study of local consistency with the resting state magnetic resonance imaging in first-episode patients with mild and moderate depression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.001</link>
<description><![CDATA[Objective: To explore the functional state of the abnormal brain regions in first-episode patients with mild and moderate depression using resting-state functional MRI (rs-fMRI) technology, which would provide a new idea for the exploration of the cause of depression and the clinical treatment. Materials and Methods: 14 first-episode patients with mild and moderate depression [live up to DSM-IV diagnostic criteria for depression, Hamilton Depression Scale (HAMD-17) score 17—24 points] and 14 matched healthy volunteers were examed by rs-fMRI. The KCC (Kendall's coefficient of concordance) of voxel is calculated based on the regional homogeneity (ReHo) method, and the ReHo value of each voxel of the whole brain is obtained. The statistical analysis is completed by SPM8 software package. Results: ReHo was significantly higher than the control group in the brain area of bilateral part of the brain of depression group, bilateral fusiform gyrus, bilateral cingulate gyrus, right cerebellum foot, right thalamus, right middle temporal gyrus, left medial dorsal nucleus of thalamus etc, while in the brain area of bilateral mesial frontal gyru, left middle frontal gyrus, left middle occipital gyrus, left inferior occipital gyrus, left paracentral lobule etc reduced significantly (P＜0.05, K＞10) on ReHo chart analysis of depression group and normal control group. Conclusions: Those changes in the BOLD signal in the local brain region of the patients with depression can indirectly reflect the changes in the time synchronism of the neurons in the functional brain region, which is helpful for the early and effective screening of the patients with depression and the location detection of the abnormal active brain area.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Prognostic value of preoperative dynamic susceptibility contrast-enhanced MR imaging in patients with gliomas]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.002</link>
<description><![CDATA[Objective: To investigate the relationship of maximum value of relative cerebral blood volume (rCBV) from dynamic susceptibility contrast-enhanced MRI (DSC-MRI) to prognosis in patients with gliomas. Materials and Methods: We conducted a retrospective analysis of the preoperative perfusion MR imaging in 62 histologically confirmed gliomas. Median relative CBV values were selected for quantitative analysis. Survival analysis was made by constructing survival curves using the Kaplan-Meier method with subgroups compared by Log-rank probability tests. A Cox regression model was made for multivariate analysis. Results: Kaplan-Meier survival curves demonstrated that overall survival of high rCBVmax (≥4.47) was significantly shorter than that of low rCBVmax (＜4.47) (P＜0.001), overall survival of low-grade glioma was significantly longer than that of high-grade glioma (P=0.001). Incooperating rCBVmax and pathological grade, the prognosis was best for the group of LGG+rCBVmax＜4.47 and worst for the group of  HGG+rCBVmax≥4.47. No significant difference was found between the  group of LGG+rCBVmax≥4.47 and HGG+rCBVmax＜4.47(P=0.154). Multivariate analysis suggested that rCBVmax was associated with survival independent of pathology (P=0.001). Conclusions: The rCBVmax value may be an independent indicator of prognosis in patients with glioma and an adjunct to WHO grading to determine clinical individual treatment.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Comparison of properties and module pattern of brain structural network between preterm and term neonates]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.003</link>
<description><![CDATA[Objective: To compare the properties and module pattern of brain structural network between preterm and term neonates. Materials and Methods: 20 preterm (gestational age, 30—37 weeks) and 22 term neonates (gestational age, 37—42 weeks) underwent 3D magnetic resonance T1-weighted imaging scan were recruited. All participants’ brain was segmented into 122 regions by using neonatal brain anatomical atlas and 64 gray matter regions were selected to reconstruct the binary brain volume network. The network properties and module pattern were compared between the two groups. Results: The brain structural network of two groups possessed the small-world properties; in contrast to term neonates, preterm showed statistically decreased clustering coefficient and local efficiency (P＜0.05), and unorganized module pattern. Conclusions: The brain structural network of preterm and term neonates showed the small-world properties. The decreased information-transformation efficiency and unorganized module pattern may suggest the delay or abnormal development of inter-region information integration capacity in preterm neonates.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[The study on rCBFmax value for predicting glioma grading before operation and the relationship between the MVD expression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.004</link>
<description><![CDATA[Objective: To explore the rCBFmax value for predicting glioma grading before operation and the relationship with MVD expression.  Materials and Methods: 3D-ASL images from 50 patients with pathologically proven gliomas (high grade: n=20, low grade: n=30) were analyzed retrospectively. The mean maximum relative cerebral blood flow was obtained by the hot spot method. The MVD of surgical specimen were measured. The results were analyzed statistically. Results: The mean rCBFmax, and MVD of low grade gliomas (n=30) were 1.69±1.27, 25.43±13.03, while the high grade gliomas (n=20) were 3.18±1.46, 58.69±20.39, the difference between the two groups was statistically significant (P＜0.01) and was positively correlated with the grade (r=0.620, 0.698, P＜0.01). rCBFmax was positively correlated with MVD (r=0.723, P＜0.01). Conclusions: The rCBFmax value is useful for predicting glioma grade before operation and is related to tumor microvessel density. The biologic behavior of glioma can be predicted to a certain extent.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Correlation of apparent diffusion coefficient for different b values with prognostic factors and subtypes of breast carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.005</link>
<description><![CDATA[Objective: To investigate whether a correlation exists between apparent diffusion coefficient (ADC) obtained from magnetic resonance imaging diffusion weighted imaging (DWI) using different b values and different prognostic factors or immunohistochemical subtypes of breast cancers. Materials and Methods: The retrospective study included 81 patients with breast cancer. All patients were examined magnetic resonance imaging DWI using b values of 0, 400, 800 and 1000 s/mm2 and apparent diffusion coefficient (ADC) values were measured. All the patients underwent the immunohistochemistry after the operation, and were divided into different subtypes based on the immunohistochemical profile. The associations between ADC values and prognostic factors and subtypes of breast cancers were evaluated by using the independent-samples t test and the one-way analysis of variance (ANOVA) and Kruskal-Wallis test. Results: (1) For different b values, there was a statistically significance in different state of expression of ER, PR and HER2, except ER for b=400 s/mm2. (2) There was a positive correlation between ADC values for different b values and ER/PR positive, meanwhile it’s a negative correlation between ADC values for different b values and HER2 positive, except for b=400 s/mm2. The correlation coefficient of ADC values for b=800 s/mm2 and 1000 s/mm2 are higher than b=400 s/mm2. (3) For different b values, there was a statistically significance in ADC values between different immunohistochemical subtypes. There was a statistically significance for Luminal A and Luminal B between ADC values for different b values. Conclusions: The ADC value of DWI was correlated with the expression status of breast cancer prognosis factors and the subtypes of different molecules, and there is more significant correlation for high b values.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of diffusion kurtosis imaging in the inflammatory activity evaluation of sacroiliac joints lesions in ankylosing spondylitis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.006</link>
<description><![CDATA[Objective: To investigate the value of diffusion kurtosis imaging (DKI) in evaluating the sacroiliac joints inflammatory activity with ankylosing spondylitis (AS). Materials and Methods: 31 cases were enrolled in accordance with ankylosing spondylitis diagnostic criteria, including 21 men and 10 women. Active and stable AS groups were divided according to clinical biochemical indexes, including erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) grade. All the cases were performed on MRI with T2-weighted imaging (T2WI) and DKI sequences. The imaging features of the involved sacroiliac joints were observed on T2WI. On MRI, the Spondyloarthritis Research Consortium of Canada (SPARCC) grade was calculated. Then the correlation of SPARCC and BASDAI grade was analyzed. The mean kurtosis (MK), mean diffusivity (MD) and apparent diffusion coefficient (ADC) values were measured and analyzed with statistical software. Results: All the bilateral sacroiliac joints with 31 cases were involved. The various degree of bone marrow edema under the joint surface were observed. Articular surface bone absorption and cystic lesions were showed on 8 and 2 cases respectively. The bone marrow edema displayed hyperintensity and slight hyperintensity on T2WI, DKI and DKI-ADC maps. Strong correlation was obtained between SPARCC and BASDAI grades (P＜0.05). The MK, MD and ADC values of stable group were 1.03±0.05, (1.37±0.04)×10-3 mm2/s and (0.98±0.18)×10-3 mm2/s respectively, and 0.89±0.03, (1.4±0.04)× 10-3 mm2/s and (1.32±0.18)×10-3 mm2/s for active group. The MK and ADC values between of active and stable groups had significant statistical difference (P＜0.05), while MD values had no statistical difference (P＞0.05). Conclusions: DKI can serve as an effective tool for AS activity evaluation. MK and ADC values can provide useful information for AS diagnosis, differential diagnosis and therapeutic effect of monitoring and can be the potential imaging biomarkers.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Magnetic resonance imaging study on the structural changes of anterior and posterior hippocampal subfields in schizophrenia patients]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.007</link>
<description><![CDATA[Objective: This study aims at investigating the changes of anterior and posterior hippocampal formation in patients with schizophrenia using structural magnetic resonance imaging (MRI) technique, and exploring the pathophysiological mechanism of cognitive disorders. Materials and Methods: A total of 72 schizophrenia patients and 74 healthy controls were included in our present study. We compared the volume differences in the whole hippocampus, anterior hippocampus, and posterior hippocampus between patients and controls, using age and sex as covariates, and further analyzed the correlations among clinical cognitive scores and the volumes which were significantly different between two groups. Results: (1) The volumes of hippocampus, anterior hippocampus and posterior hippocampus on both sides (left and right) of the patients group were significantly smaller than those of the control group (P＜0.05). (2) In patient group, the posterior hippocampal volume was positively correlated with verbal learning ability, and the anterior hippocampal volume on the right side was positively correlated with reasoning/problem solving ability. Conclusions: The atrophy patterns of anterior and posterior hippocampus we found in this study, provided new evidences for understanding the pathophysiology of cognitive impairment in schizophrenia patients.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Application of radiomics in the grading of brain tumor]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.008</link>
<description><![CDATA[Objective: Using radiomics and conventional magnetic resonance images to grade brain tumor. Materials and Methods: This paper uses the open dataset: BRATS2017. Kinds of features, including shape features, intensity features and texture features, were extracted from region of interest and a subset of features were selected by hybrid feature selection methods to distinguish the high grade glioma (HGG) from the low grade glioma (LGG). Three classification algorithms including support vector machine (SVM), decision tree, and K nearest neighborhood were compared. The wrapper method using genetic algorithm (GA) was compared with filter method. Results: SVM was found to exhibit the best accuracy: 91.33% and AUC: 0.90 when using the feature selection method of filter. The accuracy and AUC raise to 93.33% and 0.94 when further using the method of genetic algorithm. Conclusions: We could use radiomics methods and conventional magnetic resonance images to automatically grade brain tumor by selecting suitable features.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[The impact of others’ decision on individual risk-taking behavior: A rs-fMRI study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.009</link>
<description><![CDATA[Objective: By combining the sequential risk taking task and the resting-state functional magnetic resonance imaging (rs-fMRI) technique, the current study tried to investigate the influence of others’ risk-taking behavior on the individual’s emotion and risk-taking behavior. Materials and Methods: After the scanning of rs-fMRI, participants were asked to finish the sequential risk taking task. In the each trial of the task, participants firstly could get the information of others’ outcome. Others’ outcomes were divided into good, general and poor conditions. Secondly, participants were asked to rate their feelings on a 9-point scale towards others’ outcome. Finally, participants finished a similar risk-taking task. After the experiment, participants were asked to fill out the social comparison orientation scale. In the current study, we calculated three indexes to describe the individual differences: (1) The tendency of individual’s social comparison, which was measured by the social comparison orientation scale. (2) The sensitivity of individual’s emotion to others’ outcomes, which was defined as the difference of the participants’ emotional ratings towards others’ different outcomes. (3) The sensitivity of individual’s behavior changing to others’ outcomes, which was defined as the difference of the participants’ behavior changing after others’ different outcomes. Besides, DPARSFA toolbox was used to calculate the functional connectivity (FC) among orbitofrontal cortex (OFC), striatum and inferior parietal lobule (IPL) and calculate the regional homogeneity (ReHo) value. Then, correlation analysis was conducted to examine the relationship between rs-fMRI data (FC and ReHo values) and the three indexes of individual differences. Results: The results showed that the tendency of individual’s social comparison was positively correlated with the functional connectivity between left OFC and right striatum. Moreover, the sensitivity of individual’s behavior changing to others’ outcomes was negatively correlated with the functional connectivity between left striatum and right IPL. In addition, the sensitivity of individual’s behavior changing to others’ outcomes was negatively correlated with the ReHo value of right OFC. Conclusions: The functional connectivity among OFC, striatum and IPL, as well as the ReHo value of OFC are associated with the impact of others’ outcomes on individual’s emotion and risk-taking behavior.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Reconstruction of under-sampled magnetic resonance image based on convolutional neural network]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.010</link>
<description><![CDATA[Objective: To reconstruct high quality, artifacts-free magnetic resonance imaging (MRI) images from under-sampled k-space data with convolutional neural network (CNN). Materials and Methods: T1-weighted brain MR images of sagittal, transverse and coronal orientations from sixty volunteers are used. Rotation and stretching were used for data augmentation. CNN was trained with pairs of ground truth and under-sampled MR images to learn the nonlinear mapping between them. In the reconstruction, output of CNN was merged with the sampled k-space data to get the final image. For quantitative evaluation, we used peak signal-to-noise ratio (PSNR), structural similarity (SSIM) and high-frequency error norm (HFEN) to compare results of different methods. Results: (1) PSNR, SSIM, HFEN of center-sampled MR images reconstructed by CNN are 31.13, 0.93, 223.81, compared with 25.69, 0.86, 482.75 of Tukey filter. (2) PSNR, SSIM, HFEN of pseudo-random sampled MR images reconstructed by CNN are 32.78, 0.95, 195.51, compared with 31.01, 0.93, 184.69 of compressed sensing. Conclusions: CNN can reconstruct high quality MR images from under-sampled data and achieved better results both visually and statistically, compared with traditional methods. For CNN-based reconstruction, pseudo-random sampling is more favorable.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Predictive value of ADC value in radiotherapy of primary brain lymphoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.011</link>
<description><![CDATA[Objective: To investigate the predictive value of pretherapeutic apparent diffusion coefficient (ADC) value in the diffusion-weighted imaging for radiotherapy of primary brain lymphoma. Materials and Methods: 20 patients, from 2009 to 2017, in General Hospital of Ningxia Medical University clinical examination without history of immunodeficiency disease were collected, which were clinically and biopsy confirmed as diffuse large B cell lymphoma. The maximum diameter of enhanced lesion were measured from axial enhanced T1WI, before and after the radiotherapy, via which the tumor regression rate can be calculated. Then the primary brain lymphoma can be divided into two groups, called as complete remission (CR) group and non-complete remission (non-CR) group, via tumor regression rate. The minimum ADC (ADCmin) value, the average ADC (ADCmean) value, the maximum ADC (ADCmax) value of the lesion before radiotherapy were measured, the various ADC value in two groups were analyzed using statistical approach. Results: The difference between ADCmin value and ADCmean value before radiotherapy was statistically significant (P＜0.05) between CR group and non-CR group, while ADCmax value had no significant difference between the two groups. ADCmin value and ADCmean value correlated with tumor regression rate, while each value were greater than 0.602×10-3 mm2/s, 0.800×10-3 mm2/s, the patients can be achieved CR effect after the completion of the radiotherapy cycle. Conclusions: ADCmin value and ADCmean value can be used as imaging biomarkers to predict the radiotherapy efficacy of the primary brain lymphoma.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Relation between magnetic resonance diffusion-weighted imaging and TOAST classification, traditional risk factors of acute cerebral infarction]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.012</link>
<description><![CDATA[Objective: To study the relationship between magnetic resonance diffusion-weighted imaging (DWI) and trial of org 10172 in acute stroke treatment (TOAST) classification, traditional risk factors of acute cerebral infarction. Materials and Methods: Nine hundred and forty-two patients admitted to our hospital neurology department with acute cerebral infarction were enrolled. After DWI, the magnetic resonance DWI classification, clinical data such as age, hypertension and laboratory findings such as diabetes, blood fat were recorded. The TOAST of patients was classified according to them. The relationship between DWI and TOAST classification, traditional risk factors were analyzed. Results: In 942 cases of acute cerebral infarction patients, large artery atherosclerosis (LAA) type (49.04%) was the highest proportion, followed by small artery occlusion (SAO) (39.49%) and cardioembolism (CE) (6.16%), undetermined etiology (UND) (5.20%), other determined etiology (OC) (0.11%). The DWI was related with the TOAST classification in acute cerebral infarction patients (χ2=397.785, P=0.000). The cortical and subcortical infarction, the big penetrating branch infarction, unilateral anterior circulation infarction, anterior and posterior circulation infarction were mainly related with LAA type, and there were significant difference (P＜0.05). The small penetrating branch infarction was mainly related with SAO type, and the difference was statistically significant (P＜0.05). There were no significant between cortical infarction, bilateral anterior circulation infarction, posterior circulation infarction and TOAST (P＞0.05). Age, NIHSS score, coronary heart disease, atrial fibrillation had significant difference between groups in DWI of 942 cases acute cerebral infarction (P＜0.05). The average diameter of 434 cases with single lesions was 20.75±19.81, the significant difference was compared between groups (P=0.000); the average diameter of 508 patients with multiple lesions was (33.39±26.92) mm, the significant difference was compared between groups (P=0.000), the average minimum diameter is (5.20±3.27) mm, and there was no statistical difference between groups (P=0.513). Conclusions: DWI characteristics of patients with acute cerebral infarction has relationship with TOAST classification. The traditional risk factors such as age, NIHSS score, coronary heart disease, atrial fibrillation have a certain influence on DWI characteristics. Therefore, for patients with acute cerebral infarction, early DWI examination combined with the traditional clinical risk factors can guide the clinical diagnosis and select optimal treatment, so as to reduce the morbidity and mortality.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Imaging manifestation and misdiagnosis analysis of primary angiosarcoma of bone]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.013</link>
<description><![CDATA[Objective: To explore imaging manifestation of primary angiosarcoma of bone, and to improve the diagnostic accumcy of the disease. Materials and Methods: The imaging materials of 6 patients with primary angiosarcoma of bone proved by pathology were reviewed retrospectively. Results: There were 4 cases who had a single lesion and the other had multiple lesions. Among 4 cases who had a single lesion, 2 cases were located in femur, 1 case in sacroiliac joint and 1 case in vertebral column. The imaging characteristics included the osteolytic destruction and soft tissue swelling or mass, no sclerotic rim, no periosteal proliferation. Had been misdiagnosed as giant cell tumor of bone, fibrous cortical defect of bone, non-ossifying fibroma, tuberculosis, metastatic neoplasm, multiple myeloma before operation. Conclusions: The radiologic appearances of primary angiosarcoma of bone have relative characteristics such as cortical and/or medullary osteolytic destruction, unclear borders, no hardened edge, different degrees of expansion, soft-tissue mass, with minimal periosteums reaction. In addition, multi-center lesions have guiding significance for the diagnosis of this disease.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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<title><![CDATA[Advanced research of new MRI techniques for bilateral hippocampal and posterior cingulate gyrus injury in type 2 diabetes mellitus]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2018.06.014</link>
<description><![CDATA[Type 2 diabetes is a chronic metabolic disease increased by blood glucose, often accompanied with heart, brain, kidney and other organs injury and complications. Long term chronic hyperglycemia can lead to pathophysiological changes in hippocampus and posterior cingulate gyrus in diabetic patients, and damage to the microstructure, leading to cognitive, memory and other brain function disorder. The specific pathogenesis is very complex, the research is still in the exploratory stage. Magnetic resonance imaging technique combined with image, structure and function, can detect early possible pathology, metabolism and physiological functions changes in T2DM of hippocampus and posterior cingulate. It is expected to become an important examination method to explore the pathogenesis of cognitive impairment, quantitative assessment and auxiliary diagnosis.]]></description>
<pubDate>Wed,20 Jun 2018 00:00:00  GMT</pubDate>
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