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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=201612</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[The 2016 World Health Organization classification of tumors of the central nervous system: A summary]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.001</link>
<description><![CDATA[The 2016 World Health Organization classification of tumors of the central nervous system is both a conceptual and practical advance over its 2007 predecessor. For the first time, the WHO classification of CNS tumors uses molecular parameters in addition to histology to define many tumor entities, thus formulating a concept for how CNS tumor diagnoses should be structured in the molecular era. As such, the 2016 CNS WHO presents major restructuring of the diffuse gliomas, medulloblastomas and other embryonal tumors, and incorporates new entities that are defined by both histology and molecular features, including glioblastoma, IDH-wildtype and glioblastoma, IDH-mutant; diffuse midline glioma, H3 K27M–mutant; RELA fusion–positive ependymoma; medulloblastoma, WNT-activated and medulloblastoma, SHH-activated; and embryonal tumor with multilayered rosettes, C19MC-altered. The 2016 edition has added newly recognized neoplasms, and has deleted some entities, variants and patterns that no longer have diagnostic and/or biological relevance. Other notable changes include the addition of brain invasion as a criterion for atypical meningioma and the introduction of a soft tissue-type grading system for the now combined entity of solitary fibrous tumor/hemangiopericytoma-a departure from the manner by which other CNS tumors are graded. Overall, it is hoped that the 2016 CNS WHO will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[The effect of global signal correction on the functional connectivity of resting brain networks]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.002</link>
<description><![CDATA[Objective: To examine the effect of global signal correction on the functional connectivity in resting-state magnetic resonance imaging network analysis. Materials and Methods: Twenty-three healthy subjects underwent 5 minutes resting-state BOLD fMRI scanning. A method of time-series correlation analysis based on seed regions of posterior cingulate cortex (PCC) and left dorsal lateral prefrontal cortex (dLPFC) was employed to extract default mode network and executive control network. The resulting functional connectivity was compared between with and without global signal correction, while the other preprocessing conditions were identical. Results: The seeds correlation methods could extract default mode network and executive control network which coincided with previous studies, and could also acquire their negative correlated networks. Paired two-sample t test under P＜0.005 statistic level with alphasim correction indicated that there were significant increased positive correlations at almost whole brain level. Conclusion: These results from this study show characteristic differences between the networks with and without global signal correction. The correlation coefficients were positively biased in the methods without the whole brain signal correction, so more attention should be paid to the issue of global signal.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[Measurement of fat content in vertebral body by magnetic resonance water fat separation]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.003</link>
<description><![CDATA[Objective: Taking DXA as a reference standard, the use of magnetic resonance (NMR) water and fat separation imaging technology (Dixon) can measure the fat signal intensity and calculate the fat fraction (FF) in order to evaluate the application value of vertebral bone mineral density. Materials and Methods: Thirty-six cases of lumbar vertebral body(L1-L4) (144 vertebral body) in which the patients checked in Gansu Provincial People's Hospital were retrospectively collected. All patients who were performed DXA and MR examination of lumbar spine were divided into normal group(T≥-1.0 SD), osteopenia group (-1.0－-2.5SD) and osteoporosis group (≤-2.5SD), according to DXA results and the diagnostic criteria of WHO; At the same time, we measured and calculated the waist 1-4 of the vertebral body signal intensity (T2 fat alike) and fat fraction (FF), Marrow fat formula of FF MRI: FF=[Mfat/(Mfat+Mwater)]×100%(Mwater, Mfat respectively refers to water and lipid like ROI total pixel signal strength value) to evaluate the magnetic resonance (NMR) water and fat separation imaging techniques to predict the ability of osteoporosis. Results: According to DXA results, in a total of 144 vertebral bodies involved 36 patients, 58 subjects were in normal group, 28 subjects were in osteopenia group and 58 subjects were in osteoporosis group. The Fat signal intensity of the three groups (normal group, osteopenia group and osteoporosis group) were 100.2±20.1, 156.1±56.3, 211.9±84.6, and the fat fraction (FF) were (31.1±6.2)%, (53.3±7.6)%, (77.8±7.2)%, respectively. Among osteoporosis group and osteopenia group and normal group, lumbar fat T2 signal intensity and fat fractions were statistically different (P<0.01). When the fat signal intensity negatively correlated with DXA, the correlation coefficient was r=-0.64, P<0.01; when the fat fraction (FF) negatively correlated with DXA, the correlation coefficient was r=-0.93, P<0.01. Conclusion: Lumbar signal strength and fat fraction through magnetic resonance (NMR) water and fat separation imaging by ROI can reflect the change of the vertebral body fat content in patients with osteoporosis, and is of high value in clinical application. With T value of DXA as the standard, the possibility of having BMD screening for osteoporosis correlation during Dixon check is comparatively high. As a result, it has a certain application prospect to evaluate the bone mineral density of the lumbar spine by simply measuring the fat signal intensity and calculating the fat fraction of ROI.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of liver T2* and SF to predict myocardial iron concentration patients with thalassemia]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.004</link>
<description><![CDATA[Objective: To quantify the MIC, liver iron concentration (LIC) in TM patients and discuss the value of liver T2*, SF to predict the MIC. Materials and Methods: Study protocol was approved by local ethics committee; informed consent was obtained. A total of 113 TM patients diagnosed by gene were enrolled. A multiple fast-field echo (mFFE) within a single breath-hold was performed using a 3.0 Tesla MR unit to acquire 8 or 12 T2* weighted images in the heart or liver. T2* values of myocardium and liver were quantified based on mFFE T2* protocol by a well-trained physician respectively, SF was obtained twice within 7 days before and after MRI. Spearman rank correlation was applied to analyze the relationships among the MIC, LIC and SF. The ROC curve was drawn to predict the possibility of using liver T2*＜0.70 ms, SF＞2500 μg/L as an index of cardiac iron deposition, and the possibility of using SF＞300 μg/L as an index of liver iron overload. Results: A total of 113 patients, the grades of body iron deposition as following: nineteen out of 113 were found to have myocardial excess iron, including 3 severe cases, 10 moderate cases, and 6 mild cases; 100 out of 113 were found to be liver excess iron, including 15 very severe cases, 25 severe cases, 29 moderate cases, and 31 mild cases; 112 out of 113 patients were found to be abnormal SF, including 12 very severe cases, 35 severe cases, 17 moderate cases, and 48 mild cases. There was weakly or moderate correlation between myocardial T2* and liver T2* (rs=0.267, P=0.004), myocardial T2* and SF (rs=-0.463, P=0.000), as well as between liver T2* and SF (rs=-0.641, P=0.000), but no clear regularity. To predict cardiac iron deposition with myocardial T2*＜10 ms as diagnostic criteria, the accuracies, sensibilities and specificities were 76.9%, 75% and 77.1% for the index of liver T2*＜0.70 ms, 82.7%, 68.8% and 68.6% for SF＞2500 μg/L, respectively. Moreover, to predict liver excess iron with liver T2*＜3.57 ms as standard setting, the accuracy, sensibility and specificity were respectively 80.2%, 92.4% and 20.7% for the index of SF＞2500 μg/L. Conclusion: Within a certain limits, MRI T2* technique could directly quantify the MIC and LIC, there was weakly or moderate correlation among MIC, LIC and SF, but no clear regularity. Using LIC or SF as an indirect index to predict cardiac excess iron were low valuable, meanwhile, using SF to predict liver iron overload was not reliable in clinical.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[Correlation research of the ADC value of MR diffusion weighted imaging in differential differentiation of rectal tumor, perineural invasion and peritumor-intravascular cancer emboli]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.005</link>
<description><![CDATA[Objective: To observe the correlation of the apparent diffusion coefficient (ADC) value, exponential apparent diffusion coefficient (eADC) value of MR diffusion weighted imaging (DWI) in differential differentiation of rectal tumor with different b values, and the correlation of ADC value and perineural invasion, peritumor-intravascular cancer emboli in tumor. Materials and Methods: Thirty-two patients with operable rectal cancer underwent preoperative MR imaging with single-shot echo plannar imaging (EPI) diffusion-weighted sequences (b=50, 500, 1000 s/mm2). Measure and compare the apparent diffusion coefficient (ADC) value and exponential apparent diffusion coefficient (eADC) value of MR diffusion weighted imaging (DWI) in rectal wall and differential differentiation of rectal tumor, and the correlation of ADC value and perineural invasion, peritumor-intravascular cancer emboli in tumor. All of them were compared with pathologicstaging. Results: The rectal carcinomas were slightly high signal or high signal on DWI. When b value is 50, 500, 1000 s/mm2 , the mean ADC value of tumor is (2.732±0.805)×10-3 mm2/s, (1.226±0.195)×10-3 mm2/s, (1.042±0.228)× 10-3 mm2/s, the mean eADC value of tumor is (0.097±0.058) mm2/s, (0.304±0.055) mm2/s, (0.363±0.070) mm2/s, respectively. With each b value, the mean ADC value of tumor increases following the ascending of differentiated degree of rectal carcinoma, and the mean eADC value decreases. When b value is 500, 1000 s/mm2, the difference is statistically significant (b=500 s/mm2, P= 0.03, F= 4.123; b=1000 s/mm2, P=0.001, F=10.797). In most of group, the mean ADC value of peritumor-intravascular cancer emboli and perineural invasion are lower than the negative, and the difference is statistically significant in b=500 s/mm2 of MR diffusion weighted imaging. And analyze the spearson correlation coefficient of differential differentiation of rectal tumor in different b values.The ADC value of tumor and differentiation have positive correlation (rs=0.742, P＜0.05), and have negative correlation with eADC values (rs=-0.630, P＜0.05) with b value of 1000 s/mm2. ADC values have the better diagnostic efficiency for diagnosis of rectal adenocarcinoma with b value of 1000 s/mm2. Conclusion: The diffusion-weighted imaging is a rapid and feasible method in detecting rectal cancer. The correlation can be pointed out between ADC and pathological classification of each tumor, and the relationship of the ADC value and perineural invasion, peritumor-intravascular cancer emboli in tumor. Therefore, the ADC value can respresent an important imaging biomarker for assessing the response to radiochemotherapy and the prognose of the tumor.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[Susceptibility weighted imaging in differentiating papillary from chromophobe renal cell carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.006</link>
<description><![CDATA[Objective: To differentiate papillary RCC (pRCC) from chromophobe RCC (CRCC) based on intratumoral susceptibility signals (ITSSs) detected on SWI. Materials and Methods: A retrospective review was performed on patients with CRCC (n=9) or pRCC (n=12) classified by pathology. The ITSSs were classified into hemorrhage and microvessels based on their morphology. Nonparametric Mann-Whitney test was used to compare the differences in the dominant structure of ITSSs, the number of intratumoral vessels and hemorrhagic lesions, and the ratio of ITSS area on SWI between pRCC and CRCC. The diagnostic values of the dominant structure of ITSSs, the number of intratumoral vessels and hemorrhagic lesions, and the ratio of ITSS area on SWI in differentiating pRCCs from CRCCs were compared by receiver operating characteristics (ROC). Results: ITSSs were seen in 18 of 21 patients. No ITSSs were seen in 3 patients with CRCC. Mean scores of dominant structures of ITSSs on SWI were significantly higher for pRCCs than that for CRCCs (P＜0.005). There was significant difference of the ratio of ITSS area on SWI between pRCCs and CRCCs (P＜0.05). The number of hemorrhagic lesions in pRCCs was significantly larger than that in CRCCs (P＜0.05). The occurrence of intratumoral hemorrhage was more common in pRCCs (12/12, 100%) than that in CRCCs (6/9, 66.67%). The number of intratumoral hemorrhagic lesions revealed the highest positive predictive value (100%) and specificity (100%) as compared with other features, while the ratio of ITSS area on SWI showed the highest positive predictive value (87.5%) and sensitivity (88.89%). Conclusion: SWI is a useful technique to analyze the structural difference between pRCC and CRCC by the dominant structures ITSSs, the number of intratumoral hemorrhagic lesions, as well as the ratio of ITSS area on SWI.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[Clinical value of diffusion weighted imaging apparent diffusion coefficient and quantitative parameters of MR dynamic enhancement of cervical cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.007</link>
<description><![CDATA[Objective: To investigate the clinical significance of diffusion-weighted imaging apparent diffusion coefficient (ADC) values and MR dynamic contrast-enhanced quantitative parameters in cervical cancer. Materials and Methods: One hundred patients with cervical cancer and 20 healthy volunteers were performed by diffusion-weighted (with b-value of 0 s/mm2 and 800 s/mm2) and dynamic contrast-enhanced MRI scanning. (1) Measuring the ADC values: ADC map was obtained when b-value was 800 s/mm2. When three interesting points were measured in the lesions, ADCmean was served as the average value. (2) Inputting the dynamic enhanced data to the workstation: Homodynamic parameters, such as Ktrans, Kep and Ve, were obtained by the dynamic model (Tofts model) software. The comparison of the independent samples was accomplished by the t-test. Using linear regression analysis and drawing ROC curve, the effectiveness which commixed by Ktrans, Kep and ADCmean to the diagnosis of cervical cancer can be analyzed. The significant threshold was set as P＜0.05. Results: The ADCmean and mean values of cervical cancer group Ktrans, Kep and Ve were respec tively(0.8600±0.1608)×10-3 mm2 /s, (2.6650±1.4750)/min, (4.0369±2.1073)/min and 0.4875±0.2336; But those in healthy group were (1.3495±0.1543)×10-3 mm2 /s, (0.9086±0.4922)/min, (1.3689±0.5214)/min and 0.4204±0.2771. The linear regression analysis showed that P value between ADCmean and Ktrans (or ADCmean and Kep or Ktrans and Kep) was less than 0.05, which was significant statistically; That Ve P value is greater than 0.05, which was no significant statistically. Furthermore the ROC curve was utilized to analyze the effectiveness of cervical cancer which commixed by Ktrans, Kep and ADCmean. When the threshold value was 0.6, the sensitivity and specific degrees of ADCmean, Ktrans and Kep were 98% and 100%, 98% and 75%, 100% and 90%, respectively. Conclusion: ADCmean and dynamic enhanced quantitative parameters (Ktrans and Kep) could be treated as the reliable markers for diagnosis of cervical cancer in the MR imaging. The combinational applications could improve the diagnostic rate．]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[Comparison of MRI signs with pathological findings in giant cell glioblastoma: A report of 9 cases]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.008</link>
<description><![CDATA[Objective: To analyze the MRI features of giant cell glioblastoma. Materials and Methods: The collection of 9 cases confirmed by operation and pathology in patients with giant cell glioblastoma MRI data. The imaging findings were analyzed and correlated with pathology. Results:  (1) Position: 8 tumors of 9 patients were located cerebral superficial, with temporal lobe 4 cases, parietal lobe 2 cases, occipital lobe 1 case, frontoparietal 1 case and lateral ventricles 1 case. (2) Number: single lesion in 7 cases, multiple focal lesions in 1 case. (3) The MRI performance: ① Six of 9 cases were margin clear. ② Peripheral edema 7 cases of mild, 2 cases of moderate. ③ Six cases showed homogeneously isointense or slightly hypointense on T1WI and isointense or slightly hyperintense on T2WI, 3 cases showed mixed hypointense on T1WI and hyperintense on T2WI. ④ Enhance: Six tumors enhanced homogeneously and 3 cases enhanced heterogeneously. Intralesional obvious necrosis in 3 cases, hemorrhage in 3 cases, “dural tail sign” in 1 case. (4) Pathology: ① Margin clear in 7 cases, necrosis in 3 cases, hemorrhage in 3 cases. ② Immunohistochemistry: glial fibrilary acidic protein positive, Vimentin positive, high expression of Ki-67. Conclusion: Some imaging features can be found in giant cell glioblastoma. Combining imaging features with the location of lesion, mild peripheral edema and clear edge may contribute to diagnosis.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[MRI features of rotator cuff injury with subacromial impingement syndrome]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.009</link>
<description><![CDATA[Objective: To explore the MRI features of rotator cuff injury with subacromial impingement syndrome (SIS). Materials and Methods: On X-ray examination of 33 cases without fracture but clinically suspected rotator cuff injury or SIS of the patients, using a 1.5 T MRI examination to observe the MRI imaging features of rotator cuff injury and subacromial impingement syndrome, analyzed the correlation between the two, and compared with the surgical findings, the accuracy of calculation. Results: In 33 cases of rotator cuff injury in 20 cases (10 cases with SIS), subacromial impingement syndrome 15 cases (10 cases with rotator cuff injury). The preoperative diagnosis rate of MRI was approximately 95%(rotator cuff injury), 71% (SIS). Conclusion: MRI scan of the shoulder joint of the rotator cuff injury and subacromial impingement syndrome diagnosis has a high clinical value, clinic and imaging should pay attention to.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[MR study on neuromyelitis optica and multiple sclerosis: A review on different MRI technique]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.011</link>
<description><![CDATA[Neuromyelitis optica (NMO) has different pathophysiology, approaches to treatment and prognosis from multiple sclerosis (MS). Not timely and improper treatment may lead to deterioration or even relapse of the disease, seriously affecting the life quality of patients. Correctly differentiation of NMO from MS plays a pivotal role in  prognosis and treatment strategy. Morphology and distribution of lesions can be observed on conventional MRI. Additionally, advanced MRI provides an insight into the underlying pathology. This literature review summarizes the study on NMO and MS using conventional and advanced MRI.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[Application of multimodality fMRI in preterm brain injury]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.012</link>
<description><![CDATA[With the rapid development of NICU, the survival rate of premature and very low birth weight infants has increased significantly. However, these preterm survivors are at risk of neurodevelopmental impairments such as cognitive and behavioral abnormalities, poor attention and social skills, learning disorder, even cerebral palsy (CP). Due to advances in functional magnetic resonance imaging (e.g. DWI, DTI, DKI, MRS, SWI, ASL) in recent years, it is feasible to investigate preterm brain injury through observation of brain microstructure, metabolism and hemodynamic. So we review the application and progress of multimodality fMRI in preterm brain injury.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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<title><![CDATA[Whole-body diffusion-weighted MRI on 3.0 Tesla system: technical feasibility and diagnostic value]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2016.12.013</link>
<description><![CDATA[Objective: The technical feasibility and improvements of whole-body diffusion weighted imaging (WBD) on 3.0 T Magnetic Resonance Imaging (MRI) will be summarized in this paper. Meanwhile, the clinical diagnostic value will be analyzed. Materials and Methods: The Pubmed and Medline databases were searched for all English original articles published between 1990 and February 2015. The Wanfang database was searched for all Chinese original articles published between 1990 and February 2015. Results: Two studies discussed the technical improvements, and 9 papers researched on the clinical use on tumor detecting. Conclusion: Whole-body diffusion weighted imaging is a newly developed technology that can get “PET” like images. It's economical without ionizing radiation. It is conceivable that with the current pace of imaging improvement, the technique may soon be equally successful at 3.0 T. There is emerging evidence that whole-body MRI may be a solution to current unmet needs in cancer staging.]]></description>
<pubDate>Tue,20 Dec 2016 00:00:00  GMT</pubDate>
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