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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=202108</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[Study on cerebral perfusion changes in patients with Parkinson<sup><sup>,</sup></sup>s disease with different motor subtypes by using arterial spin labeling technique]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.001</link>
<description><![CDATA[Objective: To analyze the changes of cerebral perfusion in Parkinson<sup><sup>,</sup></sup>s disease (PD) patients with different motor subtypes and their similarities and differences. Materials and Methods: Three-dimensional pseudo-continuous arterial spin labeling (3D-pCASL) data were collected from 26 patients with tremor dominant (TD) Parkinson<sup><sup>,</sup></sup>s disease, 27 patients with postural instability/gait difficulty (PIGD) and 35 normal controls (NC). SPM based on MATLAB were used to data processing. Covariance analysis and double sample t test were used to detect the differences of local cerebral perfusion among the groups to observe cerebral perfusion changes and their differences in patients with different subtypes of PD. The cognitive function of the patients was evaluated with the MMSE score. Pearson correlation method was used to calculate the correlation between relative cerebral blood flow (rCBF) and clinical scores in different motor subtypes of PD. Results: Compared with healthy controls, TD group showed increased perfusion in left parahippocampal gyrus, left fusiform gyrus, left precentral gyrus, left postcentral gyrus, bilateral thalamus, and bilateral cerebellum,while decreased perfusion in right temporal pole (middle and superior temporal gyrus), and right middle frontal gyrus (P＜0.05); compared with healthy controls, PIGD group showed increased perfusion in left hippocampus, left parahippocampal gyrus, left fusiform gyrus, left precentral gyrus, left paracentral lobule and bilateral thalamus,while decreased perfusion in left inferior temporal gyrus, left superior marginal gyrus, and right middle frontal gyrus (P＜0.05); compared with PIGD group, the TD group showed increased perfusion in right cerebellum and the left precentral perfusion was decreased (P＜0.05). Additionally, rCBF values of the left precentral gyrus and right cerebellum 8 region was positively correlated with TD scores in the TD group (r=0.397, 0.541, P＜0.05), and rCBF values was positively correlated with MMSE scores (r=0.411, P=0.04) in the PIGD group. Conclusions: The cerebral perfusion patterns of PD patients with different motor subtypes were different, the perfusion changes of TD patients mainly existed in the brain areas associated with cerebello‑thalamo‑cortical (CTC) circuit, while the PIGD patients mainly existed in the striatal‑thalamo‑cortical (STC) circuit. The characteristic perfusion patterns of different motor subtypes of PD contribute to the pathophysiological mechanism exploration and the clinical classification diagnosis.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Correlation between <sup>1</sup>H-MRS of frontal lobe white matter and cognitive function in mild cognitive impairment]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.002</link>
<description><![CDATA[Objective: To investigate the patterns of metabolic changes in frontal white matter and its diagnostic value for mild cognitive impairment (MCI). Materials and Methods: Neuropsychological tests were prospectively performed to evaluate 174 volunteers recruited from the community, and they were seperated into two groups: MCI and normal control (NC). At the same time, single-voxel 1H-MRS sequence was performed on bilateral frontal white matter. LCModel was conducted for calculating the relative concentration of metabolites automatically. Covariance analysis, independent-samples t test and nonparametric Mann-Whitney U test were used to compare the inter-group differences of relative concentration of metabolites. Pearson and Spearman correlation analysis methods were performed to explore the correlation between the relative concentration of metabolites and neuropsychological test scores.Results: Elderly subjects of MCI group (≥ 60 years old) had higher relative concentration of glutamate and glutamine in the left frontal white matter than elderly normal controls (1.77±0.08, 1.48±0.08; Z=2.640, P＜0.05). the performance of auditory verbal learning test (AVLT) delay recalled and recognition was negatively correlated with relative concentration of N-acetylaspartate and N-acetylaspartylglutamate (NAA+NAAG) of right frontal white matter in MCI group (r=-0.241, -0.342, all P＜0.05); the completion time of shape trails test (STT)-A was positively correlated with relative concentration of N-acetylaspartate and N-acetylaspartylglutamate (NAA+NAAG) of left frontal white matter (r=-0.235, P=0.044); the completion time of STT-A and STT-B tests were of positive correlation with inositol of right frontal white matter (r=0.379, 0.398, all P＜0.05). Conclusions: Metabolites changes detected by <sup>1</sup>H-MRS may be expected as a clinical reference for early diagnosis of MCI.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The study of establishing functional outcome prediction model in acute stroke after mechanical thrombectomy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.003</link>
<description><![CDATA[Objective: We established prediction model based on clinical factors, imaging factors and combining clinical and MRI factors to explore the optimal model for predicting the outcome in acute stroke after mechanical thrombectomy. Materials and Methods: In this retrospective study, 71 acute stroke patients who received mechanical thrombectomy in our hospital were enrolled. All patients were within 24 h from onset and underwent MR examination before therapy. MRI data and clinical data were collected. The outcome was evaluated by mRS score at 3 months. Multivariate Logistic regression analysis was used to screen the independent predictors of outcome in acute stroke and to establish clinical predictive model, imaging predictive model and combining clinical and MRI predictive model. Receiver operating characteristic (ROC) was used to analyze their predictive effect on the outcome in acute stroke. Results: Among 71 patients, 35 had good functional outcome and 36 had poor functional outcome. Multivariable Logistic analysis demonstrated that age (OR=1.071; 95% CI: 1.010—1.135; P=0.022) and NIHSS score on admission (OR=1.225; 95% CI: 1.099—1.366; P＜0.001) were independently associated with functional outcome in clinical model, and the AUC of clinical model was 0.810 with a sensitivity of 80.6%and a specificity of 71.4%. Hypoperfusion intensity ratio (HIR) (OR=4.037; 95% CI: 1.241—13.136; P=0.005) was independently associated with functional outcome in imaging model, and the AUC of imaging model was 0.862 with a sensitivity of 72.2% and a specificity of 94.3%. NIHSS score on admission (OR=1.157; 95% CI: 0.998—1.341; P=0.043) and HIR (OR=6.669; 95% CI: 4.817—15.051; P=0.009) were independently associated with functional outcome in clinical model, and the AUC of clinical model was 0.905 with a sensitivity of 94.4% and a specificity of 82.9%. Conclusions: The prediction model of combining clinical and MRI is better than clinical model or imaging model alone, and can effectively improve predictive effect on outcome in acute stroke after mechanical thrombectomy.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of texture analysis based on diffusion tensor imaging in distinguishing hepatocellular carcinoma from intrahepatic cholangiocarcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.004</link>
<description><![CDATA[Objective: To explore the value of texture analysis based on diffusion tensor imaging (DTI) in distinguishing hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). Materials and Methods: The data of patients who underwent 1.5 T MRI examination of upper abdomen in the first Affiliated Hospital of Dalian Medical University and pathologically confirmed HCC (52 cases) or ICC (28 cases) were studied retrospectively. The DTI images were reconstructed to generate apparent diffusion coefficient (ADC) and fractional anisotropy (FA) maps. ROIs covering the entire tumor were drawn on each slice of ADC and FA signal intensity maps by two observers (with 2 years and 8 years of imaging diagnosis experience). The texture parameters of the tumor were extracted by AK software. The intra-class correlation coefficient (ICC) was used to test the consistency of the data. The independent samples t test or Mann-Whitney U test was used to compare the differences of the parameters. ROC curves were plotted to analyze diagnostic efficiency. Using Logistic regression analysis to establish the predictive model. The Delong test was used to compare the difference in efficacy between combined diagnosis and single parameter. Results: The data consistency of two observers was good (intraclass correlation coeficient ＞0.75). Maxintensity, mean value, variance, standard deviation and entropy of ADC signal intensity graph in HCC group were smaller than those in ICC group. Energy, kurtosis and correlation were larger than those in ICC group (P＜0.05). Maxintensity, variance, standard deviation, and LRE of the FA signal intensity map in the HCC group were smaller than those of the ICC group; the correlation and SRE were larger than the ICC group (P＜0.05). There was no statistical difference in other parameters (P＞0.05). The diagnostic efficiency of ADC-correlation was the best, AUC, sensitivity and specificity scores were 0.856, 75.0%, 82.1%.The best diagnosis can be obtained when the three parameters of ADC-energy, FA-maximum, and FA-short-run advantage are combined or the four parameters of ADC-energy, ADC-correlation, FA-maximum, and FA-short-run advantage are combined. The AUC was 0.877, the sensitivity and the specificity scores were 78.6%, 84.6%. Delong test showed statistical differences between combined diagnosis and multiple parameters (P＜0.05). Conclusions: DTI-based texture analysis can provide multiple parameters for differential diagnosis of HCC and ICC.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Prediction of the early recurrence of HCC patients after TACE surgery based on T2 weighted image texture analysis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.005</link>
<description><![CDATA[Objective: To explore the value of texture analysis technology based on T2 weighted images in predicting the early recurrence of hepatocellular carcinoma (HCC) after transcatheter arterial chemoembolization (TACE). Materials and Methods: A total of 121 patients with hepatocellular carcinoma were retrospectively collected, including 88 males and 33 females. All the patients meet the inclusion criteria and underwent MRI scan before surgery. Lesions of all the HCC patients were delineated manually, and post-processing software was used to extract the texture features automatically. All patients were divided into early recurrence group and non-early recurrence group according to the modified response evaluation criteria in solid tumors, and then analyzing the texture features and clinical features between the two groups. Using Logistic regression to analyze and construct the predictive model, and the diagnostic efficacy of radiomic features and clinical features in predicting the early recurrence after TACE were evaluated by ROC curves. Results: A total of 371 texture features were obtained after T2WI image analysis of each patient, 7 significant texture features were selected after screening to construct the predictive model, specifically LongRunHighGreyLevelEmphasis_angle135_offset7, ClusterShade_AllDirection_offset4_ SD, LongRunEmphasis_angle135_offset4, LongRunEmphasis_angle90_offset7, LongRunLowGreyLevelEmphasis_AllDirection_offset 1_SD, ShortRunEmphasis_angle135_offset4, MinorAxisLength. The model has great predictive ability. The AUC of the training group is 0.728, the sensitivity and specificity were 71.11% and 71.79%. And the AUC of the verification group is 0.744, sensitivity and specificity were 85% and 58.82%. In addition, the AUC of the combined prediction model combined with clinical independent risk factors (tumor maximum diameter, GGT) and radiomic features was 0.807, showing better prediction efficacy (P＜0.05). Conclusions: It is feasible to use MRI-based texture analysis technology to predict the early recurrence of HCC after TACE, which will help clinically provide better individualized treatment.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Preliminary study on risk model of clinical and MRI features of recurrent acute pancreatitis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.006</link>
<description><![CDATA[Objective: To investigate the clinical and MRI risk factors of the recurrence of acute pancreatitis (AP), and to establish the risk model of clinical imaging features of recurrent acute pancreatitis (RAP), so as to provide the basis for the prevention, diagnosis and treatment of RAP. Materials and Methods: A total of 132 patients with AP diagnosed for the first time (AP group) and 86 patients with recurrent AP (RAP group) in the Affiliated Hospital of North Sichuan Medical College from January 2015 to December 2017 were retrospectively collected. The clinical characteristics and MRI imaging data of the two groups were recorded, and the risk factors of the recurrence of AP were analyzed. Results: There were significant differences in the ratio of age (P=0.001), gender (P＜0.001) and incidence of hyperlipidemia(P＜0.001) between the RAP group and AP group. There was no significant difference in the ratio of drinking, biochemical indexes of pancreatitis between the two groups (all P＞0.05). The severity of pancreatitis (P＜0.001), MRSI (P= 0.001), complication classification (P=0.012), type of pancreaticobiliary junction (P=0.003) and angle of pancreaticobiliary junction (P＜0.001) were statistically different between the two groups. There was no significant difference in the incidence of bile duct stones (P＞0.05). Logistic regression analysis showed that male patients, V-type and B-P-type junction, pancreaticobiliary angle, hyperlipidemia and first-episode of AP as mild or moderate severe were risk factors for RAP, and age was protective factor for RAP. Conclusions: MRI features combined with clinical features can predict the recurrence of acute pancreatitis, which can provide the basis for the prevention, diagnosis and treatment of RAP.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of DCE-MRI texture multi-parameter combined analysis to predict the expression of P53 in the differential diagnosis of rectal cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.007</link>
<description><![CDATA[Objective: To explore the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) texture analysis in predicting the expression of P53 in patients with rectal cancer. Materials and Methods: A retrospective collection of 91 patients with primary rectal cancer (50 cases in the P53 high expression group and 41 cases in the low expression group) who underwent DCE-MRI scan and had the results of P53 immunohistochemical detection. The post-processing images of Ktrans, Kep, Ve are acquired by GenIQ post-processing software and imported into ITK-SNAP software. Two observers use AK software to extract 12 texture feature parameters respectively, applying intra-group correlation coefficient ICC to test the consistency of the data, using independent sample t test or Mann-Whitney U test to compare two sets of texture parameters, using ROC curve to analyze the identification power of texture parameters. The Logistic regression analysis is used to analyze the efficiency of the combined texture feature parameters, and the difference between the single parameter model and the combined model and the single parameter model AUC is compared through the Delong test. Results: The texture parameters of the P53 high expression group, Cluster ProminenceKtrans (23.00±50.84) ×106, CorrelationKtrans (1.49±1.42)×10-2, InertiaKep (13.52±22.31)×104, are all larger than the low expression group Cluster ProminenceKtrans (4.89±5.92) ×106 , CorrelationKtrans (0.16±0.17) ×10-2, InertiaKep (50.52±61.27) ×103, the differences were statistically significant (P＜0.05), the AUC values are 0.712, 0.838, 0.638 respectively. The combination of P53 texture parameters with differences between the two groups has a higher diagnostic efficiency, with an AUC of 0.914, a sensitivity of 80%, and a specificity of 95%. After Delong test, there is a difference between the two groups of P53. The AUC of the texture parameter combined model is greater than that of the single parameter model, and the difference is statistically significant (P＜0.05). Conclusions: Texture feature parameters Cluster Prominence, Correlation, Inertia can predict the expression of rectal cancer P53 effectively, and the combined analysis of texture analysis feature parameters can achieve higher differential diagnosis performance.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Predictive value of pelvic lymph node metastasis in patients with cervical cancer based on IVIM-DWI parameters and texture features of its primary lesion]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.008</link>
<description><![CDATA[Objective: To evaluate the clinical value of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and texture analysis (TA) of primary lesions in preoperative prediction of pelvic lymph node metastasis (PLNM) in patients with cervical cancer. Materials and Methods: A retrospective analysis was conducted that 101 cases of cervical carcinoma patients in Anhui Provincial Cancer Hospital confirmed by surgical pathology were divided into metastatic and non-metastatic groups according to the pathological results of lymph nodes. All patients underwent conventional MRI and IVIM-DWI scans before surgery. The IVIM-DWI parameters including difference of apparent diffusion coefficient (ADC), slow ADC (D), fast ADC (D*) and fractional of fast ADC (f) values were calculated by manually delineating tumor lesions on the axial IVIM-DWI images with a b value of 1200 s/mm2. The texture parameters were obtained by manually delineating tumor lesions layer by layer on the sagittal LAVA-FLEX delayed enhanced scans of uterus. All the ROIs were independently completed by two radiologists. The statistical analysis was conducted using independent two-sample t-test and Mann-Whitney U test to compare IVIM-DWI and TA parameters between two groups. Multivariate Logistic regression analysis and modeling were carried out for the parameters with statistically significant differences of univariate Logistic regression analysis, and the diagnostic efficiency of each parameter and model were evaluated by drawing the receiver operating characteristic (ROC) curve. Results: Twenty-five patients were assigned into metastatic group and seventy-six patients in non-metastatic group. The f values of metastatic group were significantly higher than those of non-metastatic group (P=0.007), and its area under curve (AUC) was 0.681, while other IVIM-DWI parameters showed no statistical significances. Among the 828 texture parameters extracted, 4 parameters with high stability, independence and statistical significance were selected, including original first-order Mean, wavelet-LHH_glrlm Long Run High Gray-Level Emphasis (LRHGE), wavelet-HHH_glszm Zone Percentage (ZP) and wavelet-HHH_glcm Maximal Correlation Coefficient (MCC). The AUC of wavelet-HHH_glcm MCC was the largest of 0.769. Multivariate Logistic regression was used to analyze and model f values and the above 4 texture parameters, with the AUC of the prediction model was 0.919. Conclusions: IVIM-DWI and TA have certain value in predicting PLNM of cervical carcinoma with the better predictive performance when using combined parameters.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Multiparameter MRI radiomics predicts preoperative peritoneal metastasis in patients with epithelial ovarian cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.009</link>
<description><![CDATA[Objective: To evaluate the predictive value of radiomics based on multi-parameter magnetic resonance imaging (MP-MRI) for epithelial ovarian cancer (EOC) peritoneal metastasis. Materials and Methods: A retrospective collection of 86 patients with EOC was included in the study. All patients underwent axial lipid suppression (FS) T2WI, diffusion weighted imaging (DWI) and dynamic enhancement (DCE) T1WI scans, and then underwent total double appendage resection. Quantitative imaging features were extracted from the preoperative FS-T2WI, DWI and DCE-T1WI images of each patient, and a radiomic model was established to evaluate the ability of radiomic features to distinguish peritoneal metastases. In addition, a clinical model was established. Finally, combined with radiomic characteristics and clinicopathological risk factors, a radiomic nomogram was constructed, and the receiver operating characteristic curve (ROC), area under the curve (AUC), calibration curve and clinical practicality to evaluate the predictive performance of the radiomics nomogram. Results: The radiomic model derived from the MP-MRI combined sequence had a higher AUC than the model derived from FS-T2WI, DWI, and DCE-T1WI alone (0.865 vs. 0.749, 0.765, 0.736). The nomogram (AUC=0.953) showed a better diagnostic effect than the clinical model (AUC=0.819) and the omics model (AUC=0.865). The analysis of the decision curve shows that the nomogram has good clinical application value. Conclusions: The radiomic nomogram based on the combined sequence of MP-MRI shows good predictive accuracy for peritoneal metastasis. This non-invasive and reliable tool can be used to identify peritoneal metastases in EOC patients before surgery.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Evaluation of myocardial fibrosis in miniature pig model of COPD by the 3.0 T magnetic resonance LGE techniques: An experimental study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.010</link>
<description><![CDATA[Objective: To explore the feasibility of 3.0 T cardiovascular magnetic resonance (CMR) late gadolinium enhancement (LGE) techniques in assessing early left ventricular (LV) myocardial fibrosis in miniature pig COPD model, so as to provide imaging basis for detecting early myocardial injury in COPD. Materials and Methods: Twenty healthy Bama miniature pigs were divided into COPD model group (16 pigs, COPD model was prepared by protease) and normal control group (4 pigs). Before modeling and at different stages of modeling (4 weeks, 8 weeks and 20 weeks), multimodal CMR scanning was performed. The differences of conventional cardiac parameters among the groups were compared, and the incidence, distribution and types of LV myocardial LGE were analyzed. Results: The COPD model of 14 miniature pigs in the model group was successfully constructed. There was no significant difference in baseline data between the model group and the control group in the early and middle stage of modeling (4 weeks and 8 weeks) (P＞0.05); however, in the late stage of modeling (20 weeks), respiratory rate and heart rate were significantly increased (P=0.003 and 0.002 respectively); body weight was decreased (P=0.007). There was no significant difference in heart function parameters between groups in the early and middle stages of modeling (P＞0.05). The right ventricular anterior wall (RVAW) (all P＜0.001) was thickened, while the right ventricular end diastolic diameter (RVDd) (P＜0.001) and left ventricular posterior wall (LVPW) (P=0.018) was only thicker than before modeling, left ventricular end diastolic diameter (LVDD) (P=0.05) and left ventricular end diastolic volume (LVEDV) (P=0.005) were decreased than before modeling. The right ventricular ejection fraction (RVEF) was lower than that before modeling and in the control group (P＜0.001 and 0.001); the left ventricular ejection fraction (LVEF) had no statistical difference (P＞0.05). LGE was found in 23 myocardial segments (23/85) of 5 minipigs in the model group after modeling, which was significantly different from that in the control group and before modeling (all P＜0.01). LGE was mainly located in the basal and middle slices of left ventricle, and the distribution was statistically significant (P＜0.05), and the most common type of LGE was intramural type. Conclusions: In the early stage of COPD, decreased RVEF, but still in the normal range could be observed. Myocardial fibrosis occurred in a small part of LV myocardium, accompanied with normal LVEF. LGE technology based on CMR could provide imaging basis for early intervention, diagnosis and treatment planning and prognosis evaluation of COPD patients.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Quantitative MRI analysis of the effect of vitamin D on fat content in bone marrow changes in alloxan-induced diabetic rabbits]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.011</link>
<description><![CDATA[Objective: Using iterative decomposition of water and fat with echo asymmetry and least-squares estimation quantitation sequence (IDEAL-IQ) to evaluate the effect of vitamin D supplement on the change of bone marrow fat content in vertebral body in alloxan-induced diabetic rabbits. Materials and Methods: Thirty New Zealand male rabbits were divided into 20 experienced rabbits (including alloxan-induced diabetic group (n=10), vitamin D intervention group (n=10), and 10 control rabbits, randomly. After the alloxan-induced diabetic model was modeling successfully, the intervention model was given vitamin D (400 μg/week) orally for 4 weeks, and the control group and the simple diabetic group were given 10ml normal saline by gavage every week. After modeling, all rabbits were experienced the exam of magnetic resonance imaging (T1WI, T2WI, IDEAL-IQ) at 0th, 4th, 8th, 12th, 16th week, and all rabbits<sup><sup>,</sup></sup> vertebral fat content was calculate at GE AW 4.6 standard workstation. After 16 weeks, all rabbits were killed by air embolization, and the lumbar 5—7 vertebral body was taken for the adipocyte count with HE staining. The ratio of lumbar bone marrow to fat in control group, simple diabetes group and intervention group at each time point and the content of lumbar bone marrow adipocytes under HE staining were measured by repeated measurement ANOVA. Pearson correlation analysis was performed on FF value and bone marrow adipocyte content obtained at 16 weeks, and P＜0.05 was considered statistically significant. Results: The percentage of bone marrow fat in the vertebral body measured by IDEA-IQ at 0th and 16th week was significantly different between the diabetic group and the vitamin D intervention groups (F=4.971, P＜0.05; F=3.055, P＜0.01), the control group has no statistical differences in vertebral fat fraction at every examination point; However, there was no statistically significant difference in FF value between the diabetic group and the vitamin D intervention group at 16th week (t=2.390, P=0.06). Pearson correlation analysis showed that there was a positive correlation between the fat fraction (FF) of lumbar bone marrow and the number of fat after HE staining at the 16th week in diabetic rabbits (r=0.828, P＜0.05). Conclusions: IDEAL-IQ technique is feasible to evaluate the change of bone marrow fat content in alloxan-induced diabetic rabbits with vitamin D supplement. After 16 weeks of vitamin D supplement, the change of bone marrow fat content showed a decreasing trend.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of modified silent MRA based on hybrid ASL in cerebrovascular imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.012</link>
<description><![CDATA[Objective: To investigate the feasibility of modified silent MRA sequence based on hybrid-ASL tagging for the imaging of cerebral arteries. Materials and Methods: Continuous silent MRA and modified silent MRA images were obtained from 24 healthy volunteers and 5 patients with cerebral arteriovenous malformations (AVM), who were enrolled in this study. The noise level of the two MRAs was evaluated with subjective assessment and objective measurement. The image quality (IQ) score and signal-to-noise ratio (SNR) of all the segments (including internal carotid artery C1-7, middle cerebral artery M1-2, anterior cerebral artery A1-2, posterior cerebral artery P1-2, vertebral artery, and basilar artery) form the two MRAs were assessed blindly and randomly. The difference of IQ value/signal-to-noise ratio of two MRA images in each segment were analyzed statistically. Finally, the imaging characteristics of improved silent MRA in patients with AVM were observed and analyzed. Results: The acquisition noise between the two MRAs were equal (Subjective, P=0.24; Objective, P=0.37). In all of the segments, the IQ score (P=0.021, 0.012, 0.024, 0.043) and SNR (P=0.034, 0.010, 0.033, 0.037) of internal carotid artery C1-4 segment were higher on modified silent MRA than those of continuous silent MRA, while the SNR (P=0.044, 0.016) of internal carotid artery C5 segment was higher on modified silent MRA. In patients with AVM, the modified silent MRA showed more details of feeding arteries, sinuses and draining veins, and had better imaging integrity for small vessels of arteriovenous malformations than that of continuous silent MRA. Conclusions: The modified silent MRA could afford to decrease the blurring of the vascular edge and the vascular flow void effect, and improve the signal uniformity, while maintaining the low acoustic noise property. Moreover, this advanced approach could improve the ability to display the details of AVM lesions to a certain extent.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of T1-Vibe-FS and T1-Flash-SPAIR dynamic contrast-enhanced sequences combined with gadolinium fistulography in the diagnosis of anal fistula]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.013</link>
<description><![CDATA[Objective: To evaluate the value of T1-Vibe-FS and T1-Flash-SPAIR dynamic contrast-enhanced sequences combined with gadolinium fistulography in the diagnosis of anal fistula. Materials and Methods: Siemens Avanto 1.5 T superconducting MRI system was used. Eighty patients with anal fistula confirmed by operation were scanned by MRI before operation. Sagittal, coronal and transverse scans were performed at first, followed by dynamic enhanced scans of T1-Flash-SPAIR-dyn, T1-Flash-SPAIR-dyn (combined gadolinium fistulography), T1-Vibe-FS-dyn and T1-Vibe-FS-dyn (combined gadolinium fistulography) (S1, S2, S3, S4). The signal-to-noise ratio (SNR) and contrast-to-ratio (CNR) were measured and calculated, and the differences of SNR, CNR and internal orifice lithotomy sites were compared among the four scanning methods. The location of internal orifice, the number of primary anal fistula, the number of branch fistula, abscess and Parks classification were analyzed. In addition, the coincidence rate of imaging diagnosis results of different scanning sequences with surgical results was compared. Results: Compared with T1-Flash-SPAIR sequence, T1-Vibe-FS-dyn sequence could obtain higher SNR and CNR. There were statistical differences in SNR (P＜0.05) and CNR (P＜0.05) of the four scanning methods. In addition, there was significant difference in the distribution of lithotomy sites in internal mouth (P＜0.05). There was no difference in the coincidence rate between the four scanning methods in the diagnosis of internal orifice position (P=0.676), the number of primary fistula (P=1.000), the number of branch fistula (P=0.377), abscess (P=0.230) and Parks classification (P=0.712). However, the scanning method was specific for Parks diagnosis (P＜0.05). Conclusions: Higher SNR and CNR can be obtained in patients with external leakage by method S4. Higher SNR and CNR can be obtained by method S3 in patients without external leakage. Method S1 can better diagnose Parks classification as undefined, method S2 can better diagnose Parks classification as suprasphincter type, method S3 and S4 can better diagnose sphincter appearance of Parks classification.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of MRI and cerebrospinal fluid examination in evaluating the curative effect of intracranial tuberculosis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.014</link>
<description><![CDATA[Objective: To analyze the value of magnetic resonance imaging (MRI) and cerebrospinal fluid examination in evaluating the curative effect of intracranial tuberculosis. Materials and Methods: The study retrospectively reviewed 400 patients with intracranial tuberculosis who received MRI examination in the hospital between January 2012 and December 2017, who were treated with antituberculous therapy. The size and number of lesions, CSF biochemical indicators (CSF protein, glucose, CSF adenosine deaminase) and CSF cytological indicators (WBC count, monocyte count, granulocyte count, intracranial pressure, lymphocyte count) were compared before treatment and 6 months after treatment. Results: MRI images showed that after 6 months of treatment, the number and size of the lesions were reduced (P＜0.05), and the disappearance rate of lesions was 71.59% (5767/8056). Cerebrospinal fluid protein, glucose, and adenosine deaminase levels were lower than those before treatment, while chloride levels were higher than those before treatment (P＜0.05). The white blood cell count, monocytes, neutrophil count, intracranial pressure and lymphocyte count were significantly lower than those before treatment (P＜0.05). Meanwhile, MRI examination showed that 316 cases were cured, accounting for 79.00%, while cerebrospinal fluid examination showed that 298 cases were cured, accounting for 74.50%, without statistically significant difference (P＞0.05), Kappa value=0.595. Conclusions: After anti-tuberculosis treatment, the number and size of the lesions are reduced, and the cerebrospinal fluid examination indicators are improved. MRI examination and cerebrospinal fluid examination of intracranial tuberculosis have a higher consistency in evaluating the prognosis of patients. The combined use of the two can help doctors evaluate treatment effects and prognosis.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Application of diffusion-weighted magnetic resonance imaging with different b-values in the puncture of lung space-occupying lesions]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.015</link>
<description><![CDATA[Objective: To explore the application value of multi-b value diffusion weighted imaging (DWI) in precise puncture of lung space-occupying lesions. Materials and Methods: A total of 56 patients with lung space-occupying lesions were first diagnosed and clinically diagnosed as lung cancer in our hospital. With the patient<sup><sup>,</sup></sup>s consent, all patients underwent 3.0 T MRI prior to the puncture. Analyzed the difference of ADC value of lung cancer active components and non-tumor components around tumor at different b-values, and used ROC curve to analyze the guiding efficiency of MRI multi-b-value DWI for precise puncture of lung occupying lesions. Results: Under different b values of the four groups (b values are 300, 600, 900, 1200 s/mm2), the differences between the active components of lung cancer and the surrounding non-tumor subgroups were statistically significant (P＞0.05), and the ADC values of the active components of lung cancer were all lower than those of the surrounding non-tumor components. When b=900 s/mm2, ADC value had the highest differential diagnosis efficiency for lung cancer tumor active components and surrounding non-tumor components (obstructive chronic inflammation, atelectasis and fibroplasia), and the highest guidance efficiency for clinical precise puncture. Conclusions: DWI has important application value in precise puncture of lung space-occupying lesions.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of multi-modal imaging techniques in Parkinson<sup><sup>,</sup></sup>s disease with freezing of gait]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.017</link>
<description><![CDATA[Freezing of gait (FOG) is a common paroxysmal gait disorder in Parkinson<sup><sup>,</sup></sup>s disease (PD). FOG manifests as sudden interruption in walking and severe movement difficulties, which increases the risk of falling and declines the quality of life. However, the neuropathophysiological mechanism of PD-FOG is still unclear. The previous study uses multi-modal imaging techniques to the changes in the brain function and structure of PD patients with or without FOG, and links these findings with the severity of FOG. This article reviews the research progress of multimodal imaging technology in the diagnosis and treatment of PD patients with FOG.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Relationship between aquaporin-4 and ischemic stroke and imaging research progress]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.018</link>
<description><![CDATA[Acute ischemic stroke as the main type of stroke has become the second largest cause of death and disability in the world. Early and timely diagnosis and treatment is very important to the prognosis of patients. In recent years, with the in-depth study of aquaporin, researchers found that aquaporin 4 is closely related to ischemic stroke, and proposed magnetic resonance imaging based on aquaporin theory. This article reviews the relationship between aquaporin 4 and ischemic stroke and the technical progress of aquaporin imaging in ischemic stroke.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of artificial intelligence in MRI diagnosis of glioma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.019</link>
<description><![CDATA[Glioma is the most common primary intracranial tumor with invasive growth, which is difficult to be completely removed by surgery. The cure rate of distant metastasis and insensitive to radiotherapy and chemotherapy is very low, and the recurrence rate is high. The long-term survival rate of patients is only 20%. MRI is the preferred method for the examination of brain glioma, and MRI-based multimodal imaging technology plays a key role in the diagnosis and differential diagnosis of brain glioma, pre-treatment evaluation, surgical navigation and post-treatment follow-up. However, for less experienced radiologists and those not trained in brain tumor MRI diagnostic system, the incidence of misdiagnosis and the missed diagnosis was significantly increased. In addition, radiologists often experience physical and mental fatigue in the face of a large number of MRI images, which reduces diagnostic accuracy. Therefore, how to liberate radiologists from the traditional reading of MRI images has become a concern. Artificial intelligence is used to simulate human thinking and efficiently carry out data mining and integration, so as to realize accurate diagnosis and differential diagnosis of digital medicine has developed rapidly. Extracting image information which is difficult to be effectively recognized by human eyes from image big data, and analyzing this information to diagnose disease and establish prediction model has become a technology with broad application prospects. In this paper, the research progress of artificial intelligence in MRI diagnosis of brain glioma is reviewed in order to improve the understanding of artificial intelligence in differential diagnosis of brain glioma.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research status and progress of multimodal imaging technique in cerebral alveolar echinococcosis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.020</link>
<description><![CDATA[Cerebral alveolar echinococcosis (CAE) is a zoonotic parasitic disease caused by echinococcus multilocularis on animal and then transmits to human, which is common in Qinghai, Xinjiang province and other areas. However, because the imaging manifestations of CAE are not typical and the forms are complex and diverse, it is difficult to distinguish it from brain metastases, glioma, tuberculomas and other diseases, which increases the misdiagnosis rate before operation. This article reviews the clinical application of multimodal MRI technology in the differential diagnosis, evaluation of curative effect, and guidance of the scope of surgery of CAE in order to improve the level of diagnosis and treatment.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The latest development of technology of magnetic resonance imaging in infants with brachial plexus birth injury]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.021</link>
<description><![CDATA[The most cause of brachial plexus injury in infants is traction on shoulder in the process of delivery. Delayed diagnosis and treatment, missed optimal opportunity for treatment, will lead to children leave over varying degrees of limb dysfunction. With the development of magnetic resonance technology, the application of magnetic resonance imaging in adult brachial plexus has been more matured. However, the application of MRI in children, especially in infants, has just begun. Through literature study and combined with the clinical application experience of MRI in infants with brachial plexus injury in Beijing children<sup><sup>,</sup></sup>s hospital and Baoding children<sup><sup>,</sup></sup>s hospital, the author reviewed the latest progress of MRI technology in infants with brachial plexus injury.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Clinical application and current research status of cardiac magnetic resonance imaging of myocardial infarction]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.022</link>
<description><![CDATA[Myocardial infarction is the most serious type of ischemic cardiomyopathy with typical symptoms, so it is not difficult to diagnose this disease. Accurate assessment of the extent of infarcted myocardium in patients and distinguishing between reversible and irreversible myocardial injury are essential for clinical risk stratification and treatment decision making. In recent years, with the rapid development of cardiac magnetic resonance (CMR) technology, its application in heart diseases, especially ischemic heart disease, has attracted more and more attention. The development and application of some new magnetic resonance imaging methods have improved the safety and accuracy of evaluating myocardial injury, and provided valuable information for clinical diagnosis and treatment. This article reviews the clinical application of CMR imaging technology in myocardial infarction.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Advance in multicenter research of hepatocellular carcinoma based on radiomics]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.023</link>
<description><![CDATA[Radiomics is an interdisciplinary discipline of medical and engineering course that conducts quantitative analysis of medical images with high throughput characteristics. Hepatocellular carcinoma (HCC) is the most common primary liver cancer. Due to its temporal and spatial heterogeneity, it is suitable for radiomics analysis. In order to improve the repeatability and generalization ability of radiomics, large-scale multi center research has become a hot topic in recent years. This review mainly summarizes the latest progress in multicenter research of hepatocellular carcinoma based on radiomics.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in the evaluation of liver reserve function by Gd-EOB-DTPA-MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.024</link>
<description><![CDATA[Gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) is a hepatocyte specific contrast agent, which can evaluate the liver morphology and function at the same time, while the accurate assessment of liver reserve function is helpful to reduce postoperative complications of hepatectomy and improves the prognosis of chronic liver disease. This paper systematically expounds the principle and current situation of Gd-EOB-DTPA in the evaluation of liver function and forecasts the future research direction of Gd-EOB-DTPA.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Clinical research progress of radiomics in pancreatic cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.025</link>
<description><![CDATA[Pancreatic cancer is a highly malignant digestive tract tumor with poor prognosis. Early diagnosis and treatment is the key to improve the prognosis of patients with pancreatic cancer. Radiomics is a new tool for high-throughput extraction and quantitative analysis of image features, which can effectively evaluate the heterogeneity of tumors and obtain more information than traditional imaging examinations. Radiomics has been gradually used in the diagnosis and differentiation of pancreatic cancer from other pancreatic diseases, biological behavior prediction, curative effect evaluation and prognosis evaluation of pancreatic cancer. The purpose of this article reviews the application and research progress of radiomics in pancreatic cancer.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of renal blood oxygen level dependent magnetic resonance imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.026</link>
<description><![CDATA[Kidney blood oxygen level dependent magnetic resonance imaging (BOLD-MRI) can evaluate renal oxygen metabolism non-invasive. The clinical research of kidney BOLD-MRI is increasing, mainly including the changes of oxygenation level in chronic kidney disease, acute kidney injury, glomerular disease, kidney transplantation, renal vascular disease and renal tumor. Here, the research progress of kidney BOLD-MRI was reviewed.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress in evaluation of abnormal defecation control function by MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.027</link>
<description><![CDATA[The function of defecation control refers to the ability to distinguish the dryness of stool and control its discharge normally when it produces the meaning of defecation. This function will be impaired after operation due to some unexpected factors, such as pelvic floor dysfunction, some congenital diseases and pelvic malignant tumors, which seriously affect the quality of life of patients. In recent years, many scholars at home and abroad have carried out clinical and imaging studies on patients with defecation dysfunction, which can recognize the causes and improvement of defecation dysfunction, which has important clinical value for preoperative and postoperative treatment. It is the focus of the current research. From the perspective of imaging, MRI provides a basis for explaining the possible mechanism of its disorders and improving the prognosis. Therefore, the author briefly reviews the research progress of MRI in defecation control dysfunction in recent years.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of deep learning in sports injuries of bone and joint based on MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.028</link>
<description><![CDATA[Deep learning is a hot direction in bone and joint imaging research. Unlike traditional machine learning, deep learning allows to learn data of different abstract levels directly through models constructed by multiple processing layers. At present, deep learning is mainly used in bone age measurement, fracture detection and osteoporosis research in the bone and joint system, while MRI-based research on bone and joint sports injuries is very rare, and the related research is still in its infancy. This study summarizes the research progress of deep learning based on MRI in bone and joint injuries, hoping to promote research in this field.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Applications and research progress of motion-sensitized driven-equilibrium]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.08.029</link>
<description><![CDATA[Motion-sensitized driven-equili-brium (MSDE) is a magnetic resonance black blood imaging technology. By applying the diffusion gradient field, it can suppress the signal of blood flow and the signal of water molecules in diffusion motion, thus make them appear as low signal. It has certain advantages in the suppression of slow flow and turbulence. Previous studies have confirmed that it can evaluate carotid atherosclerotic plaque in detail, noninvasively and effectively. In recent years, its applications and researches in nerve, cerebrospinal fluid, brain metastases and other fields have been expanded. MSDE becomes a novel, comprehensive and safe imaging technology. This paper reviews the imaging principle, applications, defects and prospect of MSDE.]]></description>
<pubDate>Fri,20 Aug 2021 00:00:00  GMT</pubDate>
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