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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=201501</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[Functional connectivity study of the resting-state functional magnetic resonance imaging in nonlesional epilepsy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.002</link>
<description><![CDATA[Objective: To study the cerebral function change of nonlesional epilepsy (NLE) patients by resting state functional magnetic resonance imaging (rs-fMRI) amplitude of functional connectivity (FC) technique, discussing application value of FC for NLE. To improve the understanding of its pathophysiological mechanisms. Providing the reliable theoretical basis for the diagnosis and treatment of NLE. Materials and Methods: Forty-three patients and 46 sex-, age-, education level- and handedness-matched healthy volunteers were recruited for normal control group. Rs-fMRI was performed in all subjects by 3.0 T MR scanner. Then we analyzed FC. Two-sample t-test was used to compare the two groups. And correlation analysis was performed between FC statistical brain mapping and course of disease. Results: Compared with normal control group, in NLE patients, the increased FC of right Hippocampus (RH) was in the right superior temporal gyrus, left inferior temporal gyrus, right middle temporal gyrus, left middle temporal, right medial frontal gyrus, right middle frontal gyrus, left middle temporal gyrus, right middle frontal gyrus and left medial frontal gyrus. The increased FC of the left Hippocampus (LH) was in the right superior temporal gyrus, left superior temporal, left parahippocampa gyrus, left frontal lobe sub-gyral, right medial frontal gyrus, left inferior parietal lobule and right postcentral gyrus. Reduced FC of the RH was in the left genu of internal capsule, left inferior parietal lobule, right cingulate gyrus, left superior frontal gyrus, left frontal Sub-gyral. The reduced FC of the LH was in the right cerebellum posterior lobe, left ecrebellum anterior lobe, right superior temporal gyrus, right thalamus. In NLE patients, positive correlation between RH FC and course of disease was found in the left inferior frontal gyrus, left inferior temporal gyrus, left superior temporal gyrus, right frontal lobe sub-gyral, right precuneus, left parietal lobe sub-gyral, right inferior parietal lobule, left middle frontal gyrus. The positive correlation for LH FC was found in the left lingual gyrus, right middle frontal gyrus, left middle frontal gyrus, left inferior parietal lobule, right postcentral gyrus. The negative correlation of RH FC was found in the left nodule and left genu of internal capsule. The negative correlation of LH FC was found in the left cerebellar tonsi, left superior frontal gyrus, right superior temporal gyrus and left precuneus. Conclusions: ALFF and FC were non-invasive and effective brain functional research motheds, which can detect the resting state cerebral functional changes of NLE patients, and understand correlation with clinical variable (course of disease), provide a theoretical basis for pathophysiological mechanism in epilepsy.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[Comparative study of local consistency with the resting state magnetic resonance imaging under first-episode depression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.003</link>
<description><![CDATA[Objective: To explore the abnormal active area of brain function in patients with depression and the impact of depressive mood to the patient’s brain function using resting-state functional MRI(rfMRI) technology. Materials and Methods: 30 patients with depression [live up to DSM-IV diagnostic criteria for depression, Hamilton Depression Scale (HAMD-17) score≥17 points] and 30 healthy volunteers were examed by rfMRI. The difference between depression and normal control group was analyzed using the method of regional homogeneity (ReHo). Results: ReHo was significantly higher than the control group in the brain area of Bilateral part of the brain the amount of depression group, temporal, parietal, and bilateral putamen, right caudate nucleus, amygdala, cortex, cerebellar vermis, etc, while in the brain area of bilateral prefrontal cortex, precuneus, lingual gyrus and cerebellum, etc. reduced significantly    (P <0.001, K>10) on ReHo chart analysis of depression group and normal control group. Conclusions: ReHo method can detect synchronised changes of regional cerebral tissue BOLD signal caused by depressed mood, more objectively reflect the functional state of the whole brain, thereby contribute to basic and clinical research of patients with depression.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[The diagnosis value of 1H-MRS quantitative analysis in brain parenchyma glioma grading]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.004</link>
<description><![CDATA[Objectives: To study the value of quantitative analysis of proton magnetic resonance spectroscopy (1H-MRS) metabolites in diagnosis of Brain Parenchyma glioma grading. Materials and Methods: The 1H-MRS metabolites of total 58 Brain Parenchyma gliomas confirmed by pathology were analyzed retrospectively. According to the 2007 World Health Organization (WHO) standards, all cases were divided into two groups including low-grade gliomas group (gradeⅠ—Ⅱ, 24 cases) and high-grade gliomas group (grade Ⅲ—Ⅳ, 35 cases). Then concentrations of all metabolites in the tumor area and the contralateral brain tissue were analyzed statistically and compared. Results: (1) In total 59 glioma cases; Cho and Cho/Cr in tumor area were increased compared to that in the contralateral one while the other metabolites and metabolic ratio were decreased. There were significant differences in rNAA, Cho/Cr,NAA/Cr, NAA/Cho, and Lac between low-grade and high-grade glioma tumor(P<0.05). (2) rCho and Cho/Cr in the solid area of gliomas were positively related with pathological grading, rNAA, NAA/Cr, and NAA/Cho were negatively correlated with pathological grading. rNAA and NAA/Cho had higher correlation than the others, and the r correlation coefficient was 0.555 and 0.616 respectively. (3) The area under the curve (AUC) of rNAA, NAA/Cr and NAA/Cho for identifying glioma grading were greater than 0.5 by the ROC analysis. The cutoff point of rNAA for identifying glioma grading was set at 0.20 with 100% sensitivity and 61.8% specifity. The cutoff point of NAA/Cr for identifying glioma grading was set at 0.35 with 100% sensitivity and 55.9% specificity. The cutoff point of NAA/Cho for identifying glioma grading was set at 0.19 with 91.7% sensitivity and 67.6% specificity. Conclusions: According to quantitative analysis of 1H-MRS parameters, the measurements of NAA, NAA/Cr, and NAA/Cho which have high sensitivity and moderate specificity can provide additional information about the diagnosis of glioma grading, whereas the diagnosis value of rCho and Cho/Cr in glioma grading still needs further research.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[The morphological study of brain cortical in chronic obstructive pulmonary disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.005</link>
<description><![CDATA[Objective: In order to observe gray matter variation in patients with chronic obstructive pulmonary disease (COPD) via morphological analysis method of voxel-based morphometry (VBM) and FSL software. Materials and Methods: Twenty-five patients of COPD (patient group) and twenty-five volunteers matched with age, gender, cultural background and no history of neurologic or psychopathic disorders (control group) were recruited. All subjects were examined, including pulmonary function, mental state examination and blood gas. 3D T1WI of brain were performed on Siemens Verio 3.0 T MRI scanning. All the imaging were drawn to PC workstation and computed with software of FSL (cluster size reduced >70 voxel). Statistical analysis was performed using the general linear model to detect whole brain gray matter volume differences between the two groups. Results: Compared with the control group, the patients with COPD had markedly lower scores in the activities of daily life, the Mini-Mental State Examination, and Visual Reproduction, and Figure Memory tests. Statistical correlation between two groups showed significant gray matter volume loss in the regions of frontal lobe (bilateral orbital gyros, bilateral inferior frontal gyrus triangle), medial frontal gyrus, right anterior insular gyrus, and deep nuclei (P<0.01). According to the statistics of t value maximum voxels in coordinate of MNI, the Brodmann regions of the brain, which obviously atrophy, were mainly in 47 brain regions (superior frontal gyrus), the bilateral 13 brain regions (insular cortex), 22 brain regions (superior temporal gyrus), bilateral 32 and 24 brain regions. Conclusions: In COPD patients, the cortex volume of multiple brain areas can reduce, the damage regions mainly relate to bilateral prefrontal cortex, medial frontal gyrus, and right anterior insular gyrus. The regions of brain cortex injury are consistent with other diseases, such as obstructive sleep apnea, congenital central expiratory deficiency syndrome, and the cerebral injury of people living in high altitude areas.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[The evaluation of the infiltration range of breast cancer tissue in vitro using 7.0 T MRI: a comparative study between MRI and histological examination]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.006</link>
<description><![CDATA[Objectives: To evaluate the accuracy of infiltration range of  breast cancer tissue in vitro using 7.0 T magnetic resonance imaging(MRI), and to verify the possible value of determining the breast tumor margin before surgery by MRI. Materials and Methods: Fresh breast cancer tissue in vitro (n=17) were underwent 7.0 T MRI and histological examination. After acquisition of diffusion weighted imaging (DWI)、 apparent diffusion coefficient (ADC) and fractional anisotropy (FA) imaging on the 7.0 T MRI machines, the edge of lesion was drawn out manually and the area of tumor was calculated by VnmrJ 4.0. The HE dyeing slice of pathology was observed under a microscope. The edge of lesion was drawn out manually and the area was calculated by Photoshop software. The correlation between the area of tumor from MRI and the histological slice was analyzed using Pearson correlation test of SPSS version 19.0. Results: In all specimens, there were 14 cases of breast infiltrative ductal carcinoma, 2 cases breast papillary carcinoma and 1 case of mucinous breast carcinoma confirmed pathologically. Significant correlation was found between the area of breast tumor on DWI, ADC, FA mapping and histological result (4.32±1.28) cm2 in DWI vs. (3.81±1.12) cm2 in histological slice, Pearson correlation coefficient r=0.966, P=0.00, (4.68±1.43) cm2 in ADC vs. (3.81±             1.12) cm2 in histological slice, Pearson correlation coefficient r=0.976, P=0.00, (4.74±1.53) cm2 in FA vs. (3.81±1.12) cm2 in histological slice, Pearson correlation coefficient r=0.964, P=0.00). Conclusions: Although all of the areas acquired by MRI were larger than those by histological results, there was significant correlation between them. Thus, useful information for evaluating the infiltration range of breast tumor may be provided by MRI.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[The application of conventional MRI, DWI and DCEI in focal liver lesions]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.007</link>
<description><![CDATA[Objective: The purpose of this study was to compare the diagnostic performances of conventional respiratory triggered T2WI, DWI and dynamic contrast enhanced imaging sequences in the evaluation of focal liver lesions (FLLs). Materials and Methods: We collected  liver MRI data of twenty-three patients from 2011.9 to 2013.1. Two observers reviewed T2WI, DWI and DCEI for FLLs detection and characterization, then compared T2WI, DWI, DCEI and DCEI combined with DWI for FLLs detection. The reviewers then characterized each detected lesion using a 5-point scale, the sensitivity, specificity and areas under the receiver operating characteristic curve (Az) for the detection of liver lesions were evaluated using receiver operating characteristic analysis. Results: Overall detection rate was equal for T2WI, DWI and DCEI, but ≤5 mm lesions detection rate was lower for DWI (44.44%) versus T2-weighted imaging (66.67%) (P=0.004). Overall detection rate of DCEI combined with DWI (100%) was significantly higher than T2WI (87.14%), DWI (88.57%) and DCEI (87.14%) alone (P≤0.006). Benign and ≤5 mm lesions detection rate are higher for DCEI combined with DWI (100%、100%)versus DWI (87.23%、44.44%) (P≤0.029). There was no significant difference between the three image sets (T2WI, DWI,DCEI) in the detection of FLLs with regards to Az (≥0.075). However, the Az values of DCEI combined with DWI (0.982) was significantly higher than those of DWI (0.886) and T2WI (0.858) (P≤0.0199). Conclusions: The diagnostic performance of DCEI and DWI is equal to conventional respiratory triggered T2WI. Combination of DCEI and DWI increases the lesions detection and diagnostic performance.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[Image features and pathological manifestations of inflammatory myofibroblastic tumor of abdominal-pevic and review of literature]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.008</link>
<description><![CDATA[Objective:  To conclude CT and MR image features of the inflammatory myofibroblastic tumor of Abdominal-Pevic, and compare with pathology, in order to improve the preoperative diagnostic accuracy of the disease. Materials and Methods: Eight cases with IMT of Abdominal-Pevic confirmed by surgery pathology were retrospectively analyzed including 5 males and 3 females, age from 38 to 78 years, mean age 54 years. Clinical manifestation was abdominal pain, or liver area pain (3 cases), no obvious cause angular in 2 cases, 3 cases were found by medical examination. Among 8 cases, 7 underwent CT scanning, while the 3 cases underwent both CT and MRI examination. To review the imaging signs and compare with pathology. Results: Each 1 case located in bladder, mesenterium, and kidney, 5 cases located in liver. 5 cases had ill-defined margin. Plain CT showed the uneven density with the 8 cases, in MR, the tumor showed iso-hypointensity on T1WI and slightly iso-hyperintensity on T2WI. They showed variable patterns of contrast enhancement: 4 cases showed ring-shaped enhancement, 3 cases showed mild edge enhancement, 3 case showed gradual enhancement. Microscopically, the tumor were mainly composed of spindle shaped fibrous cells and inflammatory cells (mainly plasma cells and lymphocyte). Cells had no manifest heteromorphism. Immunohistochemically, Vimentin (6/6) and SMA (7/7) were positive in all the cases, ALK (1/8) and CD-68 (2/8) were partly positive expression, other markers such as S-100, CD117, CD34 were negative  expression. Conclusions: CT and MR had the value for the localization and qualitation diagnosis and differential diagnosis of IMT, careful analysis of the enhancement is expected to propose propensity diagnosis. But the definite diagnose relies on pathological and immunohistochemical study.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[Imaging recommendation of extracranial glioblastoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.009</link>
<description><![CDATA[Extracranial glioblastoma should draw enough attention due to its influences on patient management and prognosis. In this article, a wide spectrum of extracranial manifestations of glioblastoma and recommendation for the imaging evaluation of extracranial glioblastoma are reviewed, for the purpose of advisory for related research and clinical practice.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[Application and prospect of functional magnetic resonance imaging reveals changes in brain structure and function in depression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.011</link>
<description><![CDATA[Depression is a mood disorder that is caused by a variety of factors, its main manifestation is depression, pessimism, some even become suicidal. Studies have found that depression is due to the reduction of certain brain nerve connections and neurotransmitter. With the development of functional magnetic resonance imaging, more and more people apply functional magnetic resonance imaging to studying depression, in order to elucidate the mechanism. Compared with the traditional imaging method, it can respond to changes in brain white matter microstructure and function image corresponding brain regions, which is conducive to a more intuitive analysis of the relationship between structure and function of brain.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[The research progress of multimodality functional MRI in type 2 diabetic encephalopathy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.012</link>
<description><![CDATA[Diabetes mellitus is a kind of systematic metabolic disease, which is usually accompanied with multi-system complications. And the cognitive dysfunction, cerebral neurophysiological and structural changes of diabetes have become the focus of current clinical researches. The fMRI is noninvasive and can provide information on the anatomical, functional and metabolic aspects of the brain. fMRI has been used as diagnostic tools for many brain diseases, including diabetic encephalopathy. This review focuses on the current situation and progress of multimodality functional magnetic resonance imaging in diabetic encephalopathy.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of differentiating stages of thyroid-associated ophthalmopathy with MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.013</link>
<description><![CDATA[Thyroid associated ophthalmopathy is one of the most commonly occurring diseases, which is divided into two stages in clinic: active stage and stable stage, and to differentiate the stages correctly and objectively influences the therapeutic schedule and prognosis. MRI is more and more important in differentiating the stage of TAO because of its excellent soft-tissue resolution and multiple plane imaging. Especially, dynamic enhanced MRI can differentiate the stage of TAO intuitively and quantitatively.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[Research in magnetic resonance imaging of triple-negative breast cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.014</link>
<description><![CDATA[Triple-negative breast cancer (TNBC), which characterized by distinct biological and clinical pathological features, has a worse prognosis because of the lack of effective therapeutic targets. Breast MR is the most accurate imaging modality for diagnosis of breast cancer currently. MR imaging recognition could assist in diagnosis, pretreatment planning and prognosis evaluation of TNBC. MR findings of a larger solitary lesion, mass with smooth mass margin, high signal intensity on T2-weighted images and rim enhancement are typical MRI features associated with TNBC. Further work is necessary about the clinical application of dynamic contrast-enhanced MR imaging (DCE-MRI), DWI and MRS.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[Detection of prostate cancer using magnetic resonance spectroscopy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.015</link>
<description><![CDATA[Prostate cancer had become the second most commonly diagnosed cancer in men. Early detection of the prostate cancer is important for the management of this disease. There are many methods to detect the prostate cancer. Magnetic resonance spectroscopy (MRS) is one of the methods that promising for early detection of prostate cancer. This article will talk about how MRS works, different method of diagnosing the prostate cancer, and different kind of machine and equipment that had been used in the clinical nowadays.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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<title><![CDATA[Prostate cancer: theoretical base of MR diffusion tensor imaging study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.3969/j.issn.1674-8034.2015.01.016</link>
<description><![CDATA[Prostate cancer is a major disease ,which threatens the health of older men, magnetic resonance imaging is currently being agreed as the ideal method of diagnosis of prostate disease. Magnetic resonance diffusion tensor imaging by applying diffusion sensitizing gradient in multiple directions to measure the degree of water molecules’ diffusion directionality, provides information of the organization of the microstructure; It can compensate for the lack of conventional MRI diagnosis of prostate disease. This article aims to review the theoretical basis of magnetic resonance diffusion tensor imaging diagnosis of prostate cancer.]]></description>
<pubDate>Tue,20 Jan 2015 00:00:00  GMT</pubDate>
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