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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=202205</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[A study of functional brain networks in patients with mild cognitive impairment based on graph theory]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.001</link>
<description><![CDATA[Objective: To investigate the changes and application values of functional brain network topological properties in patients with mild cognitive impairment (MCI). Materials and Methods: A sample of 28 MCI patients and 15 normal controls (NC) was included. After the resting-state functional magnetic resonance imaging (rs-fMRI) data of all subjects were collected, using the Graph Theoretical Network Analysis (GRETNA) to do data preprocessing and construct the functional network, and then graph theory was utilized to calculate the network topological properties. Then, differences between the two groups were compared based on independent-samples t-test, with Bonrerroni corrections for multiple comparisons. Results: Compared with the NC group, the clustering coefficient (Cp) and local efficiency (Eloc) of the MCI group decreased, and the visual and auditory functional areas suffered the biggest drop, and the differences were statistically significant (P＜0.05); the shortest path length (Lp) of the MCI group was shortened (P＞0.05), and the global efficiency (Eglob) increased (P＞0.05), but the differences were not statistically significant. Conclusions: Compared with the NC group, the Cp and Eloc decreased significantly in the MCI patients, and the visual and auditory functional areas suffered the biggest drop, which may become potential biomarkers for accurate diagnosis of MCI.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[A preliminary study of synthetic magnetic resonance imaging in the clinical application of minimal hepatic encephalopathy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.002</link>
<description><![CDATA[Objective: To investigate the value of the synthetic magnetic resonance imaging (SyMRI) technique for the quantitative detection of relaxation values and proton density (PD) values in specific regions within the brain parenchyma of minimal hepatic encephalopathy (MHE) patients. Materials and Methods: Twenty-three patients with MHE were collected from August 2020 to November 2021 from inpatients clinically diagnosed with cirrhosis at the Department of Infectious Diseases, General Hospital of Ningxia Medical University and screened according to the neuropsychiatric inventory. During the same period, 20 healthy volunteers with comparable matches for age, gender and education were collected. All subjects underwent SyMRI scans on a 3.0 T MRI scanner, and caudate nucleus, putamen, globus pallidus, thalamus and frontal white matter were selected as region of interest (ROIs), and T1, T2 and PD values were measured. The intraclass correlation coefficient (ICC) was used to evaluate the interobserver agreement of data measurements, and the Mann-Whitney U test was used to compare the T1, T2 and PD values between the MHE and healthy control (HC) groups and to count the differences between the MHE-HC groups and their diagnostic efficacy. Results: There was good agreement between the two physicians on the measurement of T1, T2 and PD values for each ROI of the brain parenchyma, with ICC values of 0.863, 0.822 and 0.816, respectively. Except for the bilateral frontal white matter, the T1, T2, and PD values of some subregions in the MHE group were lower than those in the HC group, and the differences were statistically significant (P＜0.05). The T1 values of bilateral putamen and right globus pallidus were statistically significant between the MHE and HC groups; the T2 values of the right caudate nucleus, bilateral putamen and left globus pallidus were statistically significant between the MHE and HC groups; the PD values of right putamen were statistically significant between the MHE and HC groups. Compared with the HC group, the T1 and PD values of bilateral frontal white matter were higher in the MHE group, and the difference was statistically significant (P＜0.05). The diagnostic efficacy of PD values was highest in the right frontal white matter, and the area under the working characteristic curve of the subjects was 0.901. Conclusion: SyMRI has a good quantitative ability for relaxation values in various brain regions in patients with MHE, and its T1, T2 and PD values have some potential value in detecting patients with MHE.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Application value of TWIST technique in evaluating collateral circulation in acute ischemic stroke]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.003</link>
<description><![CDATA[Objective: To evaluate the value of time-resolved with interleaved stochastic trajectories (TWIST) technology in the evaluation of collateral circulation in acute ischemic stroke. Materials and Methods: The general clinical data of 28 patients with acute ischemic stroke treated in the Department of Neurology of Nanjing First Hospital from August 2020 to August 2021 were analyzed retrospectively. All patients underwent TWIST, perfusion weighted imaging and digital subtraction angiography (DSA). The collateral circulation classification of DSA and TWIST images refer to the classification system of American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) and the modified ASITN/SIR score scale, respectively. Kappa coefficient was used to analyze the consistency of collateral circulation classification among different observers. χ2 test was used to analyze the inter group differences of collateral circulation classification results of TWIST and DSA images. The patients were divided into abundant collateral circulation group and insufficient collateral circulation group according to the collateral circulation classification of TWIST images, ASITN/SIR score 3-4 indicates abundant collateral circulation and score 0-2 indicates insufficient collateral circulation. The clinical data and hypoperfusion intensity ratio (HIR) of the two groups were compared. Spearman rank correlation coefficient was used to analyze the correlation between HIR and collateral circulation classification of TWIST images. Results: The collateral circulation scores of TWIST (Kappa=0.826) and DSA (Kappa=0.856) images were both highly consistent among different observers. There was no significant difference in collateral circulation classification between TWIST and DSA images (χ2=0.865, P= 0.929). The HIR in the abundant collateral circulation group (15 cases) was lower than that in the insufficient collateral circulation group (13 cases) (0.30±0.08 vs. 0.43±0.06, t=-5.156, P＜0.001). Correlation analysis showed that HIR was negatively correlated with the classification of collateral circulation in TWIST images (r=-0.882, P＜0.001). Conclusions: Magnetic resonance TWIST can noninvasive evaluate collateral circulation of acute ischemic stroke. It has high value in collateral circulation diagnosis and can be used in clinic.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Susceptibility-weighted imaging joint deep learning to explore the potential association between superficial cerebral veins and deep white matter lesions]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.004</link>
<description><![CDATA[Objective: To explore the relationship between superficial cerebral veins<sup><sup>,</sup></sup> (SCV) morphological parameters and deep white matter lesions (DWML) through establishing a deep learning algorithm model based on susceptibility-weighted imaging (SWI). Materials and Methods: Three hundred and sixty-four healthy volunteers were recruited. All subjects underwent a routine head scan and SWI, SWI images of 200 subjects were randomly selected to reconstruct the minimum intensity projection (MinIP) image. The deep learning algorithms were used to analyze the MinIP images to establish the automatic quantification model of SCV morphological features. One hundred and sixty-four subjects were used for analyzing the morphological features of SCV in the bilateral cerebral hemispheres including diameter, tortuosity index (TI), and so on by using the deep learning models. According to whether there are DWML, the 164 subjects were divided into two groups including the group of DWML comprised 53 subjects and the group of no-deep white matter lesions (N-DWML) comprised 111subjects. The Mann-Whitney U test was used to compare the quantitative indicators of SCV between the group of DWML and N-DWML, and a binary logistic regression model was established for significant difference indicators and DWML. Results: The training set<sup><sup>,</sup></sup>s average accuracy rate of the deep learning algorithms model for analysis of SCV morphological features was 98.19%, the validation set<sup><sup>,</sup></sup>s average accuracy rate was 98.02%, and the test set<sup><sup>,</sup></sup>s average accuracy rate was 98.03%. There were no differences in the distribution of age and years of education in the quantitative indicators of SCV in bilateral cerebral hemispheres (P＞0.05), but there were significant differences in the distribution of gender, which showed that the number of SCV in males was significantly more than that of females (Right: P=0.004, Left: P＜0.001). No significant difference was found in the diameter and number of SCV in bilateral cerebral hemispheres between DWML group and N-DWML group (P＞0.05). However, the TI of SCV in DWML group was significantly larger than N-DWML group (P＜0.001). The TI of SCV in right cerebral hemisphere was significantly correlated with the occurrence of DWML (regression coefficient=2.035, P=0.015). Conclusions: There is a potential correlation between the morphological changes of the SCV and the DWML. The changes in TI of the SCV may affect the local hemodynamic changes and lead to the occurrence of DWML.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Deep gray matter changes in relapsing-remitting multiple sclerosis detected by multimodal MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.005</link>
<description><![CDATA[Objective: To quantify the deep gray matter changes at the relatively early course of relapsing-remitting multiple sclerosis (RRMS) patients by multimodal MRI, and explore its correlation with white matter lesion and clinical disability. Materials and Methods: 3D-T1 weighted imaging, 3D-fluid attenuated inversion recovery, quantitative sensitivity mapping and diffusion tensor imaging scans were performed on 40 patients with RRMS and 32 healthy controls (HC) to obtain gray matter nucleus volume, quantitative susceptibility value (QSV), fractional anisotropy (FA) and mean diffusivity (MD) values and white matter lesion volume (WM-LV). The independent sample t-test was used to compare the differences in the gray matter nucleus volume, QSV, FA and MD values between groups, and correlation analysis was used to assess the relationship between the indicators and the Extended Disability Scale (EDSS) score and WM-LV. Results: Compared with the control group, the volume of each nucleus in the RRMS group was reduced (all P＜0.05), and the QSV of the thalamus was reduced (P＜0.05); the FA value of the caudate nucleus and thalamus were reduced, and the MD value were increased (P＜0.05). Correlation analysis showed the volume of each nucleus and the FA value of the caudate nucleus were negatively correlated with WM-LV (r=-0.315, r=-0.531, r=-0.563, r=-0.635, r=-0.543, all P＜0.05), and the MD values of the caudate nucleus, putamen and thalamus were positively correlated with WM-LV (r=0.620, r=0.671, r=0.558, all P＜0.01), the FA and MD values of the remaining nuclei and the QSV of each nucleus were not significantly correlated with WM-LV (all P＞0.05); the EDSS score was significantly negatively correlated with QSV of the thalamus (rs=-0.370, P=0.019). Conclusions: In relatively early RRMS, the deep gray matter is significantly atrophy, accompanied by microstructure damage and iron disorders, which partly independent of the focal demyelination of white matter; the involvement of the thalamus is an essential feature of RRMS and its iron concentration may be a marker of disease severity in MS to monitor disease progression.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Application value of DKI in distinguishing recurrence and pseudoprogression of glioma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.006</link>
<description><![CDATA[Objective: To investigate the value of DKI technology in differentiating glioma recurrence and pseudoprogression in clinical. Materials and Methods: Retrospectively collect of 40 patients with glioma who underwent surgery, radiotherapy, chemotherapy and DKI scanning from October 2018 to December 2020 in the General Hospital of Ningxia Medical university. Patients was divided into the recurrence group (24 cases) and the pseudoprogression group (16 cases) by pathology or enhanced MRI scan followed up for more than 6 months. Data were compared by independent samples t-test, Mann-Whitney U-test and receiver operating characteristic to compare the DKI parameter values in enhancing lesions and peritumoral edema in the two groups of patients: Mean kurtosis (MK), mean diffusivity (MD), radial kurtosis (RK), axial kurtosis, fractional anisotropy. Using patient gression free survival (PFS) as the observation end point for events, cox proportional hazards model was used for multivariate analysis. Results: Compared with the pseudoprogressive group, the ratio of MK (rMK) and ratio of RK (rRK) of the enhanced lesions in the recurrence group were increased, and ratio of MD (rMD) was decreased (P＜0.05). The AUCs of rMK, rRK, and rMD were 0.94, 0.83, and 0.70, respectively (P＜0.05). Compared with the pseudoprogressive group, the rMK of peritumoral edema was increased in the recurrence group and rMD was decreased (P＜0.05). The area under the ROC curve of rMK and rMD were 0.82, 0.73, respectively (P<0.05). Involvement of the subventricular zone, rMK, rRK and rMD in enhanced lesions and rMK, rMD in peritumoral edema were correlated with PFS (P＜0.05). Conclusions: DKI can be used to distinguish recurrence and pseudoprogression of glioma, and the parameter value MK can be used as a better imaging marker, the MK value of enhancing lesions is an independent risk factor for PFS.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Clinical application value of MR-based radiomics for differentiation of benign and malignant of parotid gland]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.007</link>
<description><![CDATA[Objective: To explore the clinical application value of radiomics model with multi-sequence combination in differentiating benign from malignant tumor of parotid gland and, among the former, differentiating pleomorphic adenomas from Warthin tumors. Materials and Methods: The clinical data and preoperative MRI images of 124 patients with parotid benign tumors, including 64 cases of pleomorphic adenomas and 60 cases of Warthin tumors, and 52 patients with malignant tumors by pathology were analyzed retrospectively. The region of interest was created manually from fat saturated T2 weighted imaging (FS-T2WI) using ITK-SNAP software, then FS-T2WI was registered to the apparent diffusion coefficient (ADC) map and contrast enhanced T1 weighted imaging (CE-T1WI), respectively. The FAE software was used to extract 1316 radiomics features from FS-T2WI, ADC and CE-T1WI, respectively. Features were selected by using recursive feature elimination (RFE) method, and support vector machine, as the classifier, was used to develop radiomics model. The receiver operating characteristic (ROC) curves were drawn to evaluate differential diagnosis performance of each model and Delong<sup><sup>,</sup></sup>s test was used to compare the differences between models. Results: The MRI features of parotid tumors were as following: compared with parotid benign tumors, malignant tumors were mostly located in deep lobe or double lobes (P＜0.001), with less clear boundary (P＜0.001), heterogeneous appearance (P=0.003), more cystic degeneration or necrosis occurred (P= 0.002) and infiltration of surrounding structures or lymph node metastasis suggests a greater possibility of malignancy (P＜0.001).The radiomics models were analyzed as follows: 7 radiomics models were constructed based on FS-T2WI, ADC and CE-TIWI sequence to distinguish benign from malignant tumors of parotid gland. The ROC analyses on 7 models resulted in an area under the curve (AUC) of 0.798 for FS-T2WI model, 0.838 for ADC model, 0.856 for CE-T1WI model, 0.815 for FS-T2WI+ADC model, 0.858 for FS-T2WI+ CE-T1WI model, 0.863 for ADC+CE-T1WI model, and 0.878 for multi-sequence joint model. Seven radiomics models were constructed with the same method for differentiation between pleomorphic adenomas and Warthin tumor, the AUC were 0.724, 0.910, 0.848, 0.887, 0.876, 0.915 and 0.954, respectively. Conclusions: The diagnostic performance of multi-sequence joint model in differentiating benign from malignant tumor of parotid gland and distinguishing pleomorphic adenoma from Warthin tumor are both better than that of single sequence and double sequence models, and CE-T1WI and ADC obtain the highest diagnostic efficiency among single sequences, respectively.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Correlation analysis of breast MRI-based background parenchymal enhancement with different molecular subtypes and clinical factors of breast cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.008</link>
<description><![CDATA[Objective: To explore the correlation between the dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) background parenchymal enhancement (BPE) characteristics and different molecular subtypes of breast cancer. Materials and Methods: Retrospective analysis from 2019 to 2020 clinical and imaging data of patients undergoing breast magnetic resonance examination in our hospital. Select the first phase image evaluation of BPE after the contrast medium injection in DCE-MRI. Use Spearman<sup><sup>,</sup></sup>s correlation test to compare BPE correlation with various clinical factors; χ2 test was used to compare the degree of BPE with different molecular subtypes of breast cancer, the difference between menopause or not. Results: One hundred and ninety-nine cases were enrolled, of which 32 were Luminal A, 118 cases of Luminal B [Luminal B (HER-2 positive) 48 cases, Luminal B (HER-2 negative) 70 cases], 24 cases of HER-2 overexpression type, 25 cases of basal-like type. BPE has negative correlation with the patient<sup><sup>,</sup></sup>s age, weight, and body mass index (BMI)(P＜0.05); BPE has no significant correlation with the patient<sup><sup>,</sup></sup>s height; BPE has a positive correlation with the patient<sup><sup>,</sup></sup>s menopause (P＜0.01), the BPE of menopausal patients is mainly minimal or mildly enhanced, and the BPE of non-menopausal patients is mainly mild or moderate enhancement, some were severe enhancement, and the difference was statistically significant (P＜0.01). BPE degree and the molecular subtypes of breast cancer were correlated (P＜0.05), but the results of the analysis showed no statistically significant difference among the groups (P=0.162); the combined degree of BPE was divided into minimal+mild, moderate+severe enhancement, the results showed that there was no difference in the degree of BPE among the molecular subtype groups (P=0.298). Conclusions: There has a correlation between BPE with patient<sup><sup>,</sup></sup>s age, weight, BMI, menopause or not. And the BPE is connected with the molecular subtypes of breast cancer, but there is no difference between the groups after grouping.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of a nomogram based on MRI, mammography and pathology for predicting sentinel lymph node metastasis of mass-type breast invasive ductal carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.009</link>
<description><![CDATA[Objective: To explore the value of nomogram based on MRI, mammography imaging features and clinicopathological factors for predicting sentinel lymph node (SLN) metastasis in mass-type breast invasive ductal carcinoma. Materials and Methods: The clinicopathological and imaging data of patients with invasive ductal carcinoma confirmed by pathology were analyzed retrospectively. A total of 312 cases were included, and randomly divided into training group (234 cases) and verification group (78 cases) according to the ratio of 3∶1. χ2 test or Fisher exact test were used for comparison between the two groups. In the training group, there were 158 cases with negative SLN and 76 cases with positive SLN. The clinicopathological factors, MRI and mammography imaging features were analyzed in these two groups. Multivariate Logistic regression analysis was used to select independent predictors to build a nomogram model for predicting SLN metastasis. Receiver operating characteristics (ROC) curve, calibration curve and Hosmer-Lemeshow goodness of fit test were used to evaluate the model. Results: There was no significant difference in clinicopathological factors, MRI and mammography imaging features between the training group and the verification group (P＞0.05). In the training group, there were statistical significances in 11 variables including greatest tumor diameter, clinical T stage, lymph node palpation, progesterone receptor, human epidermal growth factor receptor 2, lymphovascular invasion, MRI [tumor shape, Breast Imaging Reporting and Data System (BI-RADS) classification, axillary lymph node status] , mammography (BI-RADS classification, axillary lymph node status) between negative SLN group and positive SLN group (P＜0.05). Multivariate Logistic regression analysis showed that greatest tumor diameter, lymph node palpation, MRI (axillary lymph node status), mammography (axillary lymph node status) and lymphovascular invasion were independent risk factors for predicting SLN metastasis. The Nomogram model was constructed based on these five variables, the area under ROC curve in the training group and verification group was 0.908 and 0.897, respectively; the P values in Hosmer-Lemeshow goodness-of-fit test were 0.883 and 0.579, respectively (P＞0.05). Conclusions: The nomogram model based on MRI and mammography imaging features combined with clinicopathological factors can be used to predict the metastasis of SLN in patients with mass-type breast invasive ductal carcinoma.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Predictive value of preoperative MRI-based nomogram for axillary lymph node metastasis in breast cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.010</link>
<description><![CDATA[Objective: To establish a preoperative breast MRI-based radiomics nomogram and to explore the predictive value of the MRI-based radiomics model for axillary lymph node metastasis (ALNM) in breast cancer. Materials and Methods: Between August 2016 and December 2020, the MRI and clinicopathological data of 169 female patients (training set, n=118; validation set, n=51) identified as breast cancer by pathological examination were retrospectively collected and analyzed in the General Hospital of Ningxia Medical University. In the third phase of dynamic contrast-enhanced MRI, a volume of interest (VOI) of the primary breast tumor in each patient was delineated, and then the radiomics features of the VOI were extracted. The Mann-Whitney U test and LASSO regression were used to select the radiomics features and establish radiomics signature. The selected features were weighted by their corresponding coefficients of LASSO regression and then summed to calculate the radiomics score. The Logistic regression was used to select the clinical risk factors and establish a clinical predictive model. In addition, a combined predictive model including the clinical risk factors and radiomics signatures were constructed. The receiver operating characteristic (ROC) curve and the calibration curve were used to evaluate the performances of the models. The Delong test was used to compare the differences of the area under curve (AUC) values among different predictive models. The decision curve analysis (DCA) was conducted to assess the clinical use of these predictive models. Results: Among 200 radiomics features extracted from each VOI, 10 of them were associated with the presence of ALNM in breast cancer patients. In the training set and validation set, the radiomics signature had an AUC value of 0.86 and 0.74, respectively; the clinical predictive model had an AUC value of 0.83 and 0.78, respectively; the combined predictive model had an AUC value of 0.86 and 0.80, respectively. DCA showed the clinical use of these three predictive models. The combined predictive model could be visualized by a nomogram. Conclusions: A combined model incorporating preoperative MRI-based radiomics signatures and clinical risk factors can be used to predict the presence of ALNM in breast cancer. It provides a new method to preoperative assess the risk of the presence of ALNM in patients with breast cancer.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of T2WI-FS radiomics combined with imaging features in predicting the efficacy of HIFU ablation of hysteromyoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.011</link>
<description><![CDATA[Objective: To investigate the value of T2-weighted imaging fat suppression (T2WI-FS) radiomics combined with imaging features in predicting the efficacy of high intensity focused ultrasound (HIFU) ablation of hysteromyoma. Materials and Methods: A total of 142 patients with hysteromyoma diagnosed clinically and treated with HIFU ablation were analyzed retrospectively, including 172 hysteromyomas, including 77 in the low ablation rate group (ablation rate＜70%) and 95 in the high ablation rate group (ablation rate≥70%). They were randomly divided into training set and test set in the ratio of 7:3. The sagittal T2WI-FS sequence was selected, and the three-dimensional surrounding hysteromyoma parenchyma was delineated by 3D Slicer software, and the radiomics features were extracted (including shape, gray level co-occurrence matrix, gray level run-length matrix, gray level size zone matrix, neighboring gray tone difference matrix, gray level dependence matrix and first order). At the same time, the imaging features that may be related to the ablation effect of HIFU were collected (including hysteromyoma volume, T2WI-FS signal intensity, color Doppler flow imaging signal, enhancement degree of T1WI enhanced hysteromyoma, signal uniformity of T1WI enhanced hysteromyoma and type of hysteromyoma). The variance threshold method, univariate selection method and least absolute shrinkage and selection operator were used to screen the radiomics features. Logistic regression and random forest were used to establish two mixed models to predict the efficacy of HIFU ablation of hysteromyoma. The prediction performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the prediction efficiency of the two mixed models was compared by Delong test. Results: The Logistic regression model shows that the area under the curve (AUC) of the ROC curve of the test set is 0.855, the specificity is 0.783 and the sensitivity is 0.724. The AUC of random forest in the test set is 0.796, the specificity is 0.696 and the sensitivity is 0.759. The Delong test results of training set and test set showed that there was no significant difference in the prediction efficiency between the two mixed models (P＞0.05). Conclusions: The model based on T2WI-FS radiomics and imaging features can accurately predict the efficacy of HIFU in ablation of hysteromyoma.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Functional connectivity of the cerebellar Crus ⅠⅠ in type 2 diabetes mellitus: A resting-state functional MRI study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.012</link>
<description><![CDATA[Objective: To investigate the alteration of functional connectivity (FC) between cerebellar Crus Ⅰ and the whole-brain in patients with type 2 diabetes mellitus (T2DM) using resting-state functional MRI (rs-fMRI). Materials and Methods: Seventy-eight T2DM patients and fifty-seven healthy subjects (HCs) matched in gender, age and years of education were prospectively collected pertaining to clinical data, neuropsychological test and rs-fMRI data. Seed-based FC analysis was calculated using bilateral cerebellar Crus Ⅰa and Crus Ⅰb as seed points. The differences of cerebellar FC values, clinical variables, differences in test scores and correlations between the two groups were statistically analyzed. Results: Compared with the HCs, T2DM had presented higher scores of Beck Depression Self-assessment Questionnaire, Beck Anxiety Scale, and lower scores of Montreal Cognitive Assessment (P＜0.05); the FC between the left cerebellar Crus Ⅰa and left lingual gyrus/cerebellum Ⅳ-Ⅴ was decreased, and the FC between the right cerebellar Crus Ⅰb and right inferior frontal gyrus was increased (GRF correction, voxel-P＜0.005, cluster-P＜0.05), and the latter was positively correlated with low density lipoprotein (r=0.30, P=0.01). Conclusions: The abnormal FC values of cerebellar subregions may be involved in the neuropathology of T2DM cognitive and mood dysfunction.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Analysis of local efficiency and node local efficiency changes in patients with type 2 diabetes based on graph theory]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.013</link>
<description><![CDATA[Objective: To investigate the small-world properties change of functional networks in patients with type 2 diabetes mellitus (T2DM) based on resting-state functional magnetic resonance imaging (rs-fMRI) and graph theory analysis. Materials and Methods: Blood oxygenation level dependent rs-fMRI was performed on 29 patients with clinically confirmed T2DM (T2DM group) and 20 age, gender, years of education matched healthy controls (HC) group. The parameters of the small-world networks, including σ, λ, γ, the path length (Lp), clustering coefficient (Cp), global efficiency, local efficiency (Eloc) and nodal local efficiency were obtained from all subjects. The differences of all small-world networks parameters, clinical data, cognitive scale scores were compared between the two groups. The correlation between small-world networks parameters, clinical data, cognitive scale scores were also performed. Results: In the sparsity range of 0.05～0.50, both two groups showed economic small world network. Compared with the HC group, the Eloc AUC value of T2DM group was significantly lower than HC group in the sparsity range of 0.05 to 0.50. The T2DM group exhibited decreased Eloc value at 0.30, 0.34, 0.36, 0.40 sparsity threshold (P＜0.05). And T2DM group presented significant decreases of integrated nodal efficiency in the right opercular part of inferior frontal gyrus, olfactory cortex, supramarginal gyrus, and left middle temporal gyrus, and increases in the left orbital part of superior and middle frontal gyrus, the right medial orbital of superior frontal gyrus, and the left cuneus (Bonferroni corrected,P＜0.05). In addition, Lp AUC values in T2DM group were positively correlated with SDMT scores (r=0.38, P= 0.04); σ AUC values (r=-0.45, P=0.02), γ AUC values (r=-0.40, P=0.03) was negatively correlated with SDMT score; λ AUC value was positively correlated with SDMT score (r=0.45, P=0.01), and positively correlated with MoCA score (r=0.45, P=0.02). In addition, Cp AUC values were positively correlated with homocysteicacid (r=0.39, P=0.04) and positively correlated with hemoglobin (r=0.46, P= 0.01). Conclusions: The brain networks of both the T2DM group and the HC group showed economic small-world network property. The local information transmission efficiency of brain networks in T2DM patients is reduced and correlated with cognitive function, homocysteine and hemoglobin. In addition, the local efficiency of multiple brain regions in patients with T2DM is abnormal, indicating abnormal cognitive and emotional function activities, which provides a new perspective for the study of diabetic encephalopathy, and provides clues for further exploration of the mechanism of brain network changes in T2DM.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Homogeneity of cognitive function altered in patients with minimal hepatic encephalopathy: A fMRI based study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.014</link>
<description><![CDATA[Objective: To explore the effects of regional homogeneity (ReHo) changes on cognitive function in patients with minimal hepatic encephalopathy (MHE). Materials and Methods: Twenty-five patients with hepatitis B cirrhosis complicated with MHE (MHE group), 27 patients with hepatitis B cirrhosis without MHE (cirrhosis group) and 30 healthy control subjects (healthy control group) with matching gender, age and educational level were collected. All the subjects underwent blood oxygenation level dependent functional magnetic resonance imaging (BOLD-fMRI) scanning. The ReHo brain map was obtained after the original images were processed. Brain regions with ReHo differences among the healthy control group, the liver cirrhosis group and the MHE group were compared with Student<sup><sup>,</sup></sup>s t-test. The correlation between the ReHo value of cerebral regions in the MHE group and the MoCA scale score was analyzed by Person correlation analysis. Results: Compared with the healthy control group and the liver cirrhosis group, the NCT-A score of the MHE group was significantly increased, and the DST, MoCA scale scores were significantly decreased, with statistical difference (P＜0.01). Compared with the healthy control, the ReHo of the right middle frontal gyrus, middle temporal gyrus, inferior temporal gyrus and bilateral para-central lobule was significantly reduced in the MHE group, and the ReHo of the left anterior wedge lobe was increased, with statistical difference (P＜0.05). Correlation analysis showed that in the MHE group, the MoCA score were negatively correlated with average ReHo value of the left anterior central gyrus, the left superior temporal gyrus, and part of the occipital region (P＜0.05), and were positively correlated with the average ReHo value of the right superior marginal gyrus (P＜0.05). Conclusions: The cognitive impairment in patients with MHE may be related to the changes of ReHo in the cerebral region.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Experimental study of IVIM evaluating acute mesenteric ischemia induced by mesenteric artery embolization in rabbits]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.015</link>
<description><![CDATA[Objective: To quantitatively evaluate the early signs and dynamic evolution of acute mesenteric ischemia (AMI) by 3.0 T magnetic resonance intravoxel incoherent motion (IVIM) diffusion weighted imaging. Materials and Methods: Sixty-six New Zealand rabbits were selected as research subjects and randomly divided into experimental group and control group, including 11 time nodes (1 h, 1.5 h, 2 h, 2.5 h, 3 h, 3.5 h, 4 h, 4.5 h, 5 h, 5.5 h, 6 h), 33 rabbits in each group, 3 rabbits in each time node. Acute intestinal ischemia model was established in the experimental group before ligation of the main mesenteric artery, while in the control group, only ligation was performed. IVIM examination was performed on 3.0 T MR, and pathological specimens were collected and made after the scanning. The IVIM parameters were obtained by post-processing the image. One-way ANOVA was used to compare the differences of parameters between the experimental group and the control group. The imaging results were compared with pathological results to analyze the quantitative evaluation value of IVIM in acute intestinal ischemia. Results: Using pathological results as the gold standard, when mesenteric ischemia occurred for about 2 hours, the f and D values of the experimental group were lower than those of the sham operation group (D value＜1.0×10-3 mm2/s, f value＜0.3), the difference was statistically significant (P＜0.05), but there was no significant difference between the experimental group and the sham operation group (P＞0.05). Pathological results showed that only intestinal wall mucosa was affected by ischemia at this time. When mesenteric ischemia reached 4 h, f value, D value and D* value were significantly different between the experimental group and the sham operation group (P＜0.05). When mesenteric ischemia reached about 4.5 h, the f value and D value further decreased (D value＜1.0×10-3 mm2/s, 0＜f value＜0.1), and the D* value decreased, with statistical significance (P＜0.05). At this time, the pathological results showed muscle layer involvement. When mesenteric ischemia time reached 5.5 h, f value was close to 0, D value increased significantly (D value＞1.0×10-3 mm2/s), and D* value was roughly the same as before. There was no statistical significance in D value and D* value between the experimental group and the sham operation group (P＞0.05). At this time, intestinal wall ischemia had already affected the muscle layer or even the whole intestinal wall. Conclusions: The f value and D value of IVIM quantitative parameters are helpful for the early dynamic monitoring and quantitative evaluation of AMI in rabbits, and provide theoretical experimental basis for clinical application.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[The effect of different compressed sensing factors on analysis of "swallow tail sign" in cerebral SWI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.016</link>
<description><![CDATA[Objective: To compare the effect of different acceleration factors (AF) of compressed sensing (CS) susceptibility weighted imaging (SWI) on "swallow tail sign (STS)" in midbrain, and to find the optimal AF. Materials and Methods: Prospectively included forty health volunteers underwent MR examinations in a 3.0 T magnetic resonance imaging scanner. The MRI protocol included routine SWI sequence with CS of different AFs (AF=0 and CS2, CS4, CS6, CS8, CS10). Phase images of SWI were obversed and measured. The phase value (PV) was measured. The signal to noise ratio (SNR) and contrast to noise ratio (CNR) were calculated. Recording the number of STS with different AFs. The interobserver reliability of subjective scoring on SN and STS were assessed by the Cohen<sup><sup>,</sup></sup>s Kappa test. The interclass correlation cofficient (ICC) for PV and subjective scoring were employed. The difference in the number of STS was analyzed by Fisher<sup><sup>,</sup></sup>s exact test. The least-significant difference (LSD) of one-way analysis of variance (ANOVA) was used to compare the difference in image quality and PV with different AFs. The P values were corrected by the false discovery rate (FDR) of Benjamini-Hochberg method. The corrected P＜0.05 were considered significant. Results: The consistency between two observers of subjective rating was excellent (Kappa＞0.80). The ICC on PV and subjective rating were excellent (ICC＞0.80). When AF≥6, the resolution on STS decreased significantly. The number of STS decreased with the AF increases, in other words, the STS diaplaying rate was gradually decreased, and there was significant difference (P＜0.05). The SNR and CNR of bilateral SNs in AF＞2 were significant difference (P＜0.05). When AF＞4, the SNR and CNR of bilateral STSs showd significant difference (P＜0.05). Conclusions: According to the quantitative data on brain SWI, combine the SNR, CNR, subjective rating and the displaying rate with different AFs, CS4 can be used to obsreve the STS, and the scanning time is reduced by 70.7% (4 min 9 s).]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on acceleration efficiency and image quality of artificial intelligence compressed sensing and compressed sensing in knee MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.017</link>
<description><![CDATA[Objective: To evaluate the utility of compressed sensing (CS) and artificial intelligence compressed sensing (ACS) in knee magnetic resonance imaging (MRI) and the effect on image quality. Materials and Methods: Sixty-seven subjects were scanned with a 3.0 T scanner, undergoing proton density weighted imaging (PDWI) using three CS factors (CS 2.0, CS 2.5, CS 3.0), four ACS factors (ACS 2.5, ACS 3.0, ACS 3.5, ACS 4.0), with parallel imaging (PI) 2.0 as the reference. Two independent readers rated the overall image quality with a 4-point subjective scale. ROIs were placed on media femoral condyle, the medial head of gastrocnemius muscle, the intercondylar fossa effusion, the infrapatellar fat pad and lateral condylar cartilage of femur to measure signal intensity and noise, then signal-to-noise (SNR) were calculated as objective index. For the subjective scoring inter-rater reliability of the two readers was calculated using Cohen kappa statistics and the subjective scores and objective index were evaluated using Kruskal-Walli<sup><sup>,</sup></sup>s test and Wilcoxon signed rank test with SPSS 23.0 software. Results: Scan time decreased with increasing acceleration factors (PI 2.0: 152 s; CS 2.0: 128 s, CS 2.5: 104 s, CS 3.0: 86 s; ACS 2.5: 76 s, ACS 3.0: 65 s, ACS 3.0: 57 s, ACS 4.0: 51 s). The results of subjective scores by two readers showed strong agreement and almost perfect agreement (0.735≤κ≤0.869). There was significant difference in subjective scores and SNR among the 8 groups (P＜0.05). There was no significant difference in subjective scores and 5 SNRs between CS 2.0, ACS 3.0 and PI 2.0 respectively (P＞0.05). There was no significant difference in subjective scores and 4 SNRs between ACS 2.5 and PI 2.0, while a SNR of ACS 2.5 was higher than that of PI 2.0 significantly (P＜0.05). The subjective scores of CS 2.5, CS 3.0, ACS 3.5, ACS 4.0 were lower than that of PI 2.0 significantly, and there was 1, 5, 2, 2 SNRs lower than those of PI 2.0 respectively(P＜0.05). Conclusions: ACS and CS could accelerate shorten MR acquisition time. Compared with CS, ACS was more effectively, and ACS could reduce the acquisition time by 57% on the premise of ensuring image quality in keen PDWI.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<item>
<title><![CDATA[The neuromechanism of life satisfaction: Evidence from MRI studies]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.018</link>
<description><![CDATA[Objective: The present study based on the systematic review of the MRI literature, on life satisfaction aimed to reveal the neural mechanism of life satisfaction. Materials and Methods: We followed the systematic review process of preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines to acquire overall existing MRI studies on life satisfaction, extracted the research data, including the imaging modality, the measure of life satisfaction and the relevant indicators of brain structure and function, and further conducted a complied analysis to the results in different brain regions. Results: Fifteen studies were totally involved. We found a widespread correlation pattern between life satisfaction and brain. These associations primarily concentrated in the prefrontal cortex, and the structures and functions in the regions of limbic system, temporal lobe, parietal lobe and occipital lobe were also related to life satisfaction. Conclusions: The structure and function of prefrontal cortex were of great significance to life satisfaction, and it may coordinate with other related brain regions of the limbic system, temporal lobe, parietal lobe and occipital lobe to influence the individuals<sup><sup>,</sup></sup> social behavior and the subjective experience through participating in the cognition, emotion and memory functions, so as to be strongly associated with life satisfaction.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
</item>
<item>
<title><![CDATA[The correlation between the characteristics of middle cerebral artery atherosclerotic plaque, cerebral perfusion and the occurrence of acute cerebral infarction]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.019</link>
<description><![CDATA[Objective: To explore the high-risk plaque characteristics and perfusion parameters associated with acute cerebral infarction (ACI) in patients with symptomatic middle cerebral artery (MCA) atherosclerotic stenosis using high-resolution magnetic resonance vessel wall imaging (HRMR-VWI) and CT perfusion imaging (CTP). Materials and Methods: The data of HRMR-VWI and CTP in 64 patients with symptomatic MCA atherosclerotic stenosis whose onset time was less than 4 weeks were analyzed retrospectively. According to diffusion weight imaging (DWI) and clinical manifestations, patients were divided into ACI group and transient ischemic attack (TIA) group. The differences of plaque characteristics, perfusion parameters and collateral grade between the two groups were analyzed. Multivariate Logistic regression and receiver operating characteristic (ROC) curve analysis were performed to evaluate the predictive performance and the AUC. Results: A total of 64 patients were included.There were 25 patients [age: (55.12±11.20) y; 10 female] in TIA group and 39 patients [age: (57.90±9.62) y; 11 female] in ACI group. There was no significant difference in sex (P= 0.327) and age (P=0.296) between the two groups. Compared with TIA group, the plaque length [6.10 (3.20, 12.3) mm vs. 4.10 (2.15, 5.55) mm; P=0.006], the burden [86.83% (80.26%, 100.00%) vs. 78.46% (72.70%, 87.66%); P=0.007], the degree of stenosis [86.76%(76.19%, 100.00%) vs. 75.72% (60.94%, 85.84%), P=0.008], the degree of enhancement (P＜0.001) and the enhancement index [(1.19± 0.55) vs. (0.58±0.46); P＜0.001] were larger. Meanwhile, the values of relative mean transit time (rMTT) [(1.19±0.22) vs. (1.05± 0.17); P=0.007], relative time to drain (rTTD) [(1.52±0.47) vs. (1.19±0.30); P=0.003], and relative time to the center of the impulse response function (rTmax) [(2.26±1.33) vs. (1.55±0.67); P=0.007] in ACI group were higher than those in TIA group. Multivariate Logistic regression analysis showed plaque length (OR=1.17, 95% CI: 1.001-1.362, P=0.049), the degree of enhancement (OR=5.18, 95% CI: 1.848-14.522, P=0.002) and rTmax (OR=2.32, 95% CI: 1.019-5.298, P=0.045) were significantly independent predictors of ACI. The prediction efficiency of the combination of plaque length, the degree of enhancement and rTmax was the best (AUC=0.862; 95% CI: 0.767-0.956). Conclusions: HRMR-VWI combined with CTP can comprehensively evaluate the characteristics of symptomatic MCA atherosclerotic plaque and downstream perfusion state, which is helpful to identify patients with high-risk MCA atherosclerotic stenosis associated with ACI.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of enhanced MRI radiomics in predicting IDH-1 genotype in gliomas]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.020</link>
<description><![CDATA[Objective: To explore the value of a radiomic model based on preoperative-enhanced MR images in the assessment of the IDH-1 genotype in patients with gliomas. Materials and Methods: A retrospective analysis was performed on 102 patients with gliomas confirmed by surgical pathology in our hospital from 2017 to 2021 with complete preoperative brain-enhanced MRI images, including 73 patients with wild -type of IDH-1 (12 patients with WHO grade 2, 15 patients with grade 3, 46 patients with grade 4), 29 patients with an IDH-1 mutation (15 patients with WHO grade 2, 10 patients with grade 3, 4 patients with grade 4). All patients were randomly assigned to training group and validation group according to a ratio of 7∶3, 851 features were extracted using 3D-Slicer software. Least absolute shrinkage and selection operator was finally conducted to obtain 4 optimized subset of the feature to build the radiomic model, and the model was then tested with cross-validation. The area under the ROC curve was performed to evaluate the performance of the model. Results: The combine model had the best performance, and the AUC of the training group and the validation group were respectively 0.886 (95% CI: 0.81-0.96) and 0.889 (95% CI: 0.77-1.00), the sensitivity were 0.90, 0.86, the specificity were 0.55, 0.55, and the accuracy were 80%, 77%. There was a statistically significant difference between the combine model and the clinic model (P＜0.05). The enhanced MR radiomics model had the similar predictive performance with the clinic model, and had no statistically significant between them. Conclusions: The combine radiomics model based on the preoperative-enhanced MRI can effectively predict the IDH-1 genotype of gliomas.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Therapeutic effects of radiofrequency ablation for hepatocellular carcinoma: Evaluated by magnetic resonance imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.021</link>
<description><![CDATA[Objective: To investigate the feasibility of magnetic resonance imaging (MRI) in evaluating different therapeutic effects of radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC). Materials and Methods: From January 2018 to June 2021, 52 HCC patients with a total of 60 lesions treated by RFA from Affiliated Hospital of North Sichuan Medical College underwent MRI plain scan, multiphase enhanced scans, and diffusion weighted imaging (DWI) before the previous treatments and were regularly followed up after this therapy, and the MRI data were retrospectively collected. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of MRI for detecting complete ablation, tumor residual, local tumor progression and new tumor were statistically calculated. Results: (1) For showing complete ablation, the sensitivity, specificity, PPV, NPV and accuracy of MRI were 89.5%, 92.7%, 85.0%, 95.0% and 91.7%, respectively; (2) For detecting tumor residual, the sensitivity, specificity, PPV, NPV and accuracy of MRI were 81.8%, 91.8%, 69.2%, 95.7% and 90.0%, respectively; (3) For demonstrating local tumor progression after RFA, the sensitivity, specificity, PPV, NPV and accuracy of follow-up MRI were 84.6%, 93.2%, 78.6%, 95.3% and 91.2%, respectively; (4) For demonstrating new tumor in liver after RFA, the sensitivity, specificity, PPV, NPV and accuracy of follow-up MRI were 100.0%, 94.7%, 88.9%, 100.0% and 96.3%, respectively. Conclusions: When MRI is used to evaluate the efficacy of RFA of HCC, it has a very good potential on the detection of complete ablation, tumor residual, local tumor progression and new tumor in liver, especially of complete ablation and new tumor in liver.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Evaluation of an advanced MRI hip scan protocol using compressed sensing and three-dimensional imaging in children]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.022</link>
<description><![CDATA[Objective: To analyze the image quality, scan time and clinical application of 3D hip MRI accelerated with compressed sensing (CS), comparing with the traditional multi-directional 2D hip scan protocols. Materials and Methods: Twenty-two patients were enrolled in the study based on clinical diagnosis. Traditional hip scan protocol include: 2D coronal and 2D axial proton density-spectral attenuated inversion recovery (PD-SPAIR) weighted imaging, 2D coronal T1 weighted imaging (T1WI), 2D axial T2 weighted imaging (T2WI). Advanced hip scan protocol include: 3D axial PD-SPAIR sequence with 6-fold CS acceleration, 2D coronal T1WI, 2D axial T2WI. Signal to noise ratios (SNR) and contrast-noise-ratios (CNR) were calculated and compared for the femoral head. The subjective evaluation and scan time were compared between two protocols. Results: The subjective score of 2D PD-SPAIR and 3D PD-SPAIR images were range from 20-22 (P＞0.05) with high consistency between two doctors (kappa=0.636, P=0.002). All images satisfied the clinical needs. The SNR of the femoral head in 2D PD-SPAIR was significantly higher than that in the 3D PD-SPAIR group (P=0.001). There was no significant difference of CNR between two sequences. The scan time of the advanced protocol which include CS (median 513 s) was significantly shorter than that of the traditional one (median 603 s) (P＜0.001). Conclusions: The introduction of 3D CS sequence can not only present multi-directional display with anatomy details, but may also improve the efficiency, success rate and examination experience of children<sup><sup>,</sup></sup>s hip MRI scan, which could be conducive to optimized pediatric MRI scan process.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Application progress of high-resolution magnetic resonance imaging vascular wall imaging in ischemic stroke]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.028</link>
<description><![CDATA[Atherosclerosis is a major cause of the occurrence and development of ischemic stroke. Early identification of unstable plaque is very important for the prevention and treatment of ischemic stroke. High resolution magnetic resonance imaging vascular wall imaging (HR-VWI) not only can directly evaluate the condition of lumen stenosis and vascular remodeling, but also can qualitatively or quantitatively evaluate the plaque composition and plaque load, judge the etiology and pathogenesis of ischemic stroke, identify the high-risk characteristics of plaque closely related to the occurrence and recurrence of ischemic stroke. Then it can guide clinical active intervention and prevent the occurrence and recurrence of ischemic stroke. This review will discuss the identification of high-risk plaques by HR-VWI and its role in the etiology identification, prevention and recurrence prediction of ischemic stroke.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Research status and clinical applications of magnetic resonance imaging to evaluate the neurovascular relationship in primary hemifacial spasm]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.029</link>
<description><![CDATA[Primary hemifacial spasm is the abnormal movement of facial muscles caused by the compression of facial nerve by blood vessels, which seriously affects patients<sup><sup>,</sup></sup> quality of life. The operation of microvascular decompression is the most effective method to treatment hemifacial spasm. High resolution imaging of the facial nerve and its ambient blood vessels was performed before surgery to accurately locate the compression site, providing the reference for making surgical plans and predicting surgical outcomes. The development of magnetic resonance neurovascular imaging sequence and post-processing technology provides an accurate image method for preoperative judgment of the relationship between facial nerve and vessels. This article reviews magnetic resonance cisternography and angiography techniques, image reconstruction and fusion techniques, clinical manifestations of vascular compression in different areas of facial nerve, the correlation between neurovascular relationship and surgical prognosis in patients with facial spasm.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Application and advances of magnetic resonance SNAP technique in craniocervical vessels]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.030</link>
<description><![CDATA[Simultaneous non-contrast angiography and intraplaque hemorrhage (SNAP) imaging had the advantages of wide coverage, high resolution, intrinsically multi-contrast image sets and short scanning time. It was suitable for tortuous craniocervical vessels with long lesions, which provided rich diagnostic information for the examination of diseases such as atherosclerosis, arterial stenosis and arterial dissection. Its application is increasing in craniocervical artery imaging. This paper reviews technique principle, clinical applications and advances of SNAP technique in craniocervical artery.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[MRI research progress of temporomandibular joint disorder]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.031</link>
<description><![CDATA[Temporomandibular disorder (TMD) is a common disorder of temporomandibular joint (TMJ) and masticatory muscle pain and dysfunction. Magnetic resonance imaging, as the preferred non-invasive imaging method, provides visualization of the soft and hard tissues of TMJ and masticatory muscles, which plays an important role in the diagnosis and treatment of TMJ patients. Diffusion imaging, T2 mapping, ultrashort echo time (UTE) and zero echo time (ZTE) further promote quantitative analysis and functional imaging of TMD and associated muscle ultrastructural changes. These technologies go beyond current anatomical imaging capabilities and provide a better understanding of the physiological and pathological states of the articular disc, posterior disc tissue, condyles, fossa, and surrounding masticatory muscle groups, and ultimately contribute to early diagnosis, treatment planning, evaluation of treatment outcomes, and even image-guided interventions. This article reviews the recent progress and diagnostic value of MRI in TMD.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in the clinical application of cardiac magnetic resonance in the diagnosis of left ventricular hypertrophy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.032</link>
<description><![CDATA[At present, the non-invasive and accurate diagnosis of left ventricular hypertrophy disease still faces many challenges, which is of great significance for guiding clinical treatment and evaluating prognosis. Cardiac magnetic resonance is a powerful tool to evaluate and diagnose the etiology of left ventricular hypertrophy. It can not only dynamically observe the anatomical structure of the heart, but also accurately evaluate cardiac function and myocardial conditions by using late gadolinium enhancement, parameter quantification, feature tracking and diffusion tensor imaging, and T1 mapping, extracellular volume integral number and strain can be obtained through a series of post-processing to quantify myocardial injury and function. These techniques have great potential to identify the etiology of left ventricular hypertrophy and provide valuable prognostic information. This article reviews the typical cardiac magnetic resonance findings and their differentiation in various diseases of left ventricular hypertrophy.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress on magnetic resonance imaging biomarkers in predicting the risk of postoperative recurrence with hepatocellular carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.033</link>
<description><![CDATA[Magnetic resonance imaging can predict prognosis of hepatocellular carcinoma. In recent years, the application and promotion of functional magnetic resonance imaging and hepatobiliary specific contrast agents as well as the development of imaging omics have further deepened the research field of prediction of prognosis and recurrence risk assessment of hepatocellular carcinoma by magnetic resonance imaging. Besides, some imaging biomarkers have been explored. In this paper, the definition, characteristics, potential mechanisms and clinical relevance of magnetic resonance imaging biomarkers were reviewed. It aims to improve the understanding of the evaluation value of postoperative recurrence of hepatocellular carcinoma by magnetic resonance imaging, and to better assist scientific research and guide clinical practice.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of multimodality MRI in the diagnosis and treatment of intrahepatic mass-forming cholangiocarcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.034</link>
<description><![CDATA[Intrahepatic cholangiocarcinoma (ICC) is the primary malignant tumor of liver, second only to hepatocellular carcinoma (HCC), and its incidence increases gradually in recent years. ICC can be divided into mass-forming, periductal-infiltrating, and intraductal-growing patterns according to their gross morphology and growth pattern and intrahepatic mass-forming cholangiocarcinoma is most common. As the treatment and prognosis are different from other liver malignancies, early and accurate diagnosis is of great significance for optimal treatment. MRI is currently the preferred imaging method for diagnosis, staging, and prognosis of ICC before treatment. In particular, multimodal MRI technology can reflect the changes of tumor tissue microstructure by integrating the advantages of various modes, which is helpful for the qualitative diagnosis of tumor and the evaluation of tumor microenvironment, thus indirectly reflecting a series of prognostic characteristics such as the degree of malignancy and the scope of invasion of tumor. The commonly used multimodal MRI techniques including diffusion-weighted imaging, dynamic contrast enhanced magnetic resonance imaging. In this article, the different techniques of multimodal MRI and their research progress in ICC are reviewed.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Application of radiomics in spinal diseases]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.035</link>
<description><![CDATA[Radiomics, which extracts and quantifies feature information from medical images that cannot be recognized by traditional image examination methods, has gradually become a research hot spot in the clinical implementation of precision medicine and personalized medicine. The clinical symptoms of spinal diseases are single, and traditional imaging methods are still challenging for accurate localization, diagnosis and differential diagnosis of some spinal diseases. The cross fusion of artificial intelligence and images has greatly improved the accuracy of disease diagnosis by front-line workers and realized the prediction of unknown data of diseases. At present, there is no systematic review of the application of imaging in the diagnosis of spinal diseases. Therefore, the present situation and progress of the application of radiomics in spinal diseases are emphatically summarized, and the challenges and future development direction of spinal radiography are proposed.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[The research progress of diagnosing meniscus injury in MRI based on deep learning]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.05.036</link>
<description><![CDATA[Meniscus tear is a common type of knee injury. If not properly treated, it is easy to cause a series of clinical symptoms such as knee pain and osteoarthritis. Correct identification of meniscus lesions is an important prerequisite for patient education and clinical intervention. MRI is the most commonly used imaging method for clinical diagnosis of meniscus injury. It can accurately reflect the location, type and morphology of meniscus tear, and is the preferred imaging method for clinical diagnosis of meniscus tear. MRI disease detection based on deep learning is an emerging field of artificial intelligence, which may eventually translate into clinical practice with the continuous advancement of the clinical utility research of deep learning algorithm. This paper explores the progress of deep learning-based meniscal MRI diagnosis in meniscus injury binomial classification, tear location, tear direction, classification and region of interest segmentation from the two classifications of transfer learning and customized neural network, and point out some shortcomings of current research, in order to provide ideas for future research.]]></description>
<pubDate>Fri,20 May 2022 00:00:00  GMT</pubDate>
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