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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=202204</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[The changes of functional connectivity on hemispheric level in depression patients with suicidal ideation: A functional magnetic resonance imaging study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.001</link>
<description><![CDATA[Objective: The functional connectivity density (FCD) method was used to explore the changes of inter- and intrahemispheric functional connectivity patterns in first-episode depression patients with suicidal ideation. Materials and Methods: Thirty depression patients with suicidal ideation (SI group), 28 depression patients without suicidal ideation (NSI group) and 30 healthy controls (HC group) participated in this study. Hamilton Depression scale 24-items and Beck Scale for Suicide Ideation-Chinese version were performed. All subjects underwent functional magnetic resonance imaging. The inter- and intrahemispheric FCD were calculated. Correlation analysis was performed between abnormal FCD values of SI group and clinical psychological scales. Results: Compared with NSI group and HC group, the interhemispheric FCD values decreased in bilateral medial prefrontal cortex in SI group. Compared with HC group, SI group and NSI group showed increased interhemispheric FCD values in bilateral postcentral gyrus, increased intrahemispheric FCD values in right postcentral gyrus and inferior parietal lobule, and decreased intrahemispheric FCD values in bilateral medial prefrontal cortex. Compared with HC group, NSI group showed decreased intrahemispheric FCD values in left anterior cingulate gyrus. The abnormal FCD values of SI group were not correlated with clinical psychological scales (P＞0.05). Conclusions: The abnormalities of inter- and intrahemispheric FCD in depression patients with suicidal ideation can reflect the changes of functional connectivity on hemispheric level, which is helpful to better understand the interaction between hemispheres of depression patients with suicidal ideation.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Preliminary study of diffusion tensor imaging and <sup>18</sup>F-AV1451 PET tau protein brain imaging in the diagnosis and differential diagnosis of MCI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.002</link>
<description><![CDATA[Objective: To study the value of diffusion tensor imaging (DTI) and 18F-AV1451 tau protein brain imaging in the diagnosis of mild cognitive impairment (MCI), and to make early diagnosis and early intervention treatment for MCI patients in the future. Materials and Methods: This prospective study included 37 patients, 13 patients with amnesia mild cognitive impairment (aMCI), 13 patients with Alzheimer<sup><sup>,</sup></sup>s disease (AD) and 11 normal controls (NC) were selected. 18F-AV1451 tau protein imaging and DTI were examined by positron emission tomography-computed tomography scanner and magnetic resonance imaging scanner. GE ADW workstation was used to automatically register fraction anisotropy (FA), apparent diffusion coefficient (ADC) and positron emission tomography images. The regions of interest in posterior cingulate gyrus, parahippocampal gyrus and middle temporal gyrus were delineated at the same level. FA value, ADC value, maximum standard uptake value and standard uptake value ratio (SUVr) were measured. The changes and correlation of FA, ADC and SUVr between the two groups were analyzed by rank sum test and Person correlation analysis. Results: The positive predictive value, negative predictive value, sensitivity and specificity of 18F-AV1451 tau protein brain imaging in diagnosing aMCI patients were 70.0%, 57.1%, 53.8% and 72.7%, respectively. The numbers in AD group were 76.9%, 72.7%, 76.9% and 72.7%, respectively. There were significant differences in the SUVr values of left posterior cingulate gyrus and right parahippocampal gyrus between aMCI group and NC group (P=0.032,0.025). And there were significant differences between AD group and NC group in bilateral parahippocampal gyrus and left middle temporal gyrus (P=0.007, 0.007, 0.041). The SUVr values of the left posterior cingulate gyrus and the right parahippocampal gyrus in the AD group were significantly different from those in the aMCI group (P=0.032, 0.025). There was no significant difference in FA between aMCI group and NC group (P＞0.05). But there was significant difference in ADC values in bilateral posterior cingulate gyrus, right parahippocampal gyrus and right middle temporal gyrus (P=0.024, 0.012, 0.024, 0.024). There was no significant difference in FA and ADC between AD group and NC group (P＞0.05). There were significant differences in FA and ADC between aMCI group and AD group in bilateral posterior cingulate gyrus (P=0.047, 0.047, 0.047, 0.012). For 6 aMCI patients who underwent 18F-AV1451 tau protein brain imaging and DTI examination, Pearson correlation analysis showed that there was no significant correlation between FA, ADC value and SUVr value in each site (P＞0.05), but there was a negative correlation between ADC value and Minimental State Examination (MMSE) score in the right parahippocampal gyrus (r=-0.821, P=0.045). There was no significant correlation between FA, ADC and SUVr values of other parts and the scores of MMSE and Montrealcognitive assessment scale (P＞0.05). Conclusions: The detection of white matter injury in different parts of brain by DTI, especially the bilateral posterior cingulate gyrus, has certain significance in the early differentiation between aMCI and AD patients, and may be used as an index for the differential of aMCI and AD in the future. In addition, 18F-AV1451 tau protein brain imaging is more effective in differential diagnosis of aMCI, and the ADC value of the right parahippocampal gyrus is negatively correlated with the MMSE score, indicating that the clinical psychological scale score may reflect the microstructural changes in the brain tissue.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Construction of a nomogram model for hemorrhagic transformation risk after mechanical thrombectomy in patients with acute stroke]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.003</link>
<description><![CDATA[Objective: To construct a nomogram model for hemorrhage transformation after mechanical thrombectomy in acute stroke based on multimodal MRI radiomics and clinical risk factors. Materials and Methods: A total of 174 patient cases with acute ischemic stroke in Nanjing First Hospital from January 2017 to December 2020 were analyzed retrospectively. The patients were randomly divided into the training set (n=122) and test set (n=52). Then the patients were divided into hemorrhage transformation group and no hemorrhage transformation group according to the MRI images after treatment. A. K. software was used to extract diffusion weighted imaging and perfusion weighted imaging lesions features and construct radiomics tags. Multivariate Logistic regression was used to select the best predictors and construct a nomogram model. The receiver operating characteristic (ROC) curve was utilized to evaluate the predictive performance of the model. Results: A total of 1584 radiomics features were extracted from each patient. After dimensionality reduction, 15 features that were highly associated with hemorrhage transformation were screened out. ROC showed that the AUC of nomograph model in the training set was 0.979 (sensitivity and specificity: 0.950, 0.989), which included radiomics labels, atrial fibrillation history, age, and NIHSS score on admission. The AUC in the test set was 0.885 (sensitivity and specificity: 0.836, 0.908). Both of them were better than models built based on pure radiomics lables (AUC=0.763) or clinical features (AUC=0.707). Conclusions: Radiomics and machine learning based on multimodal MRI and clinical features are reliable to predict hemorrhage transformation after mechanical thrombectomy in acute ischemic stroke.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[The diagnostic value of <sup>18</sup>F-FDG PET/MR for cerebral tumefactive demyelinating lesions]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.004</link>
<description><![CDATA[Objective: To investigate the diagnostic value of 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/MR multimodal imaging in tumefactive demyelinating diseases (TDL). Materials and Methods: A total of 39 patients with suspected TDL from November 2019 to November 2021 were collected retrospectively, including their clinical information and multimodal PET/MR images. The imaging parameters of all 39 patients were measured by drawing the region of interest on the imaging workstation, including standard uptake value (SUV), lesion metabolic volume, total glycolysis, cerebral blood flow, cerebral blood volume, and ADC. The diagnostic efficacy of each image index was calculated by receiver operating characteristic (ROC) curve; moreover, the image indexes significantly associated with diagnostic performance were screened by univariant and multivariant logistic analysis, and then, these indexes were combined to generate the integrated diagnostic efficacy. Results: SUVmax and SUVmean in TDL group were significantly higher than those in non-TDL group (13.65±2.31 vs. 10.03±1.96, P=0.028; 8.30±0.58 vs. 6.25±1.53, P=0.023). ACDmean in TDL group was higher than that in non-TDL group (1.10±0.13 vs. 0.86±0.51), and the difference was statistically significant (P=0.013). ROC analysis showed that the area under curve (AUC) of SUVmax, SUVmean and ADCmean were [0.920, 95% confidence interval (CI): 0.738-1.102; 0.940, 95% CI: 0.791-1.089; 0.960, 95% CI: 0.843-1.077, respectively, P＜0.001]. The AUC of the integrated diagnostic index (SUVmax + SUVmean + ADCmean) was 0.973, and the 95% CI: 0.886-1.023 (P＜0.001). Conclusions: 18F-FDG PET/MR multimodal imaging has a degree of value in clinical diagnosis and differential diagnosis of TDL.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Differential diagnosis of cerebral alveolar echinococcosis and brain metastases based on MRI perfusion weighted imaging and support vector machine]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.005</link>
<description><![CDATA[Objective: To investigate the efficacy of MRI perfusion weighted imaging (PWI) and support vector machine (SVM) in the differential diagnosis of cerebral alveolar echinococcosis (CAE) and brain metastases (BMT). Materials and Methods: The records of patients who pathologically or clinically diagnosed with CAE (15 patients) and BMT (15 patients) were reviewed retrospectively. The perfusion parameters (cerebral blood flow, cerebral blood volume, mean transit time and time to peak) of solid area, perilesion edema and contralateral relative normal area in both lesions were measured and used for evaluation of CAE and BMT. Based on perfusion parameters, SVM and other classifiers were used to identify two diseases. Results: In the diagnosis of CAE/BMT, rCBF and rCBV of solid area achieved area under curve (AUC) of 0.739/0.960 and 0.710/0.913. The diagnostic efficiency of rCBF and rCBV in solid area was higher than that of MTT and TTP; The rCBF, rCBV value of CAE solid area were significantly lower than that of BMT and TTP value was significantly higher (P＜0.01). The rCBF, rCBV value of CAE prelesion edema were significantly lower than that of BMT (P＜0.01); Based on the perfusion parameters of lesion solid area, the use of SVM classifier can improve the discrimination accuracy. Conclusions: PWI can provide an objective basis for the differential diagnosis of CAE and BMT. SVM classifier can enhance the accuracy of PWI in differentiation of these two diseases.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Evaluation of the relationship between cervicocranial artery dissection and acute ischemic stroke based on high-resolution MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.006</link>
<description><![CDATA[Objective: To discuss the influence factors of acute ischemic stroke caused by cervicocranial artery dissection (CCAD) based on high-resolution magnetic resonance imaging (HR-MRI). Materials and Methods: A total of 73 patients with clinically confirmed CCAD were included in the study. According to their diffusion weighted imaging (DWI) manifestations, they were divided into stroke and non-stroke groups. We collected the clinical and imaging data of all patients. The relationship between CCAD and acute ischemic stroke was analyzed by univariate and multivariate Logistic regression. Results: A total of 73 patients with dissection and 85 dissection vessels were included in the study, 45 patients and 54 dissection vessels were included in stroke group, 28 patients and 31 dissection vessels were included in non-stroke group. The prevalence of hypertension in stroke group [34 (75.56%)] was higher than that in non-stroke group [11 (39.29%)], the difference was statistically significant (P=0.002). Multivariate Logistic regression analysis showed that there were significant differences in hypertension, mild stenosis, severe lumen stenosis, lumen occlusion, intimal flap and pseudoaneurysm between the two groups (both P＜0.05). Hypertension, severe lumen stenosis, lumen occlusion and intimal flap were significantly correlated with acute ischemic stroke (OR=4.507, 5.457, 7.596, 3.745, both P＜0.05). Mild stenosis and pseudoaneurysm were more common in non-stroke group. Conclusions: Hypertension is the risk factor of acute ischemic stroke caused by CCAD. There are some differences in the imaging manifestations of CCAD patients with or without stroke, which has a certain reference value for the individual prediction of early ischemic stroke in CCAD.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of dynamic contrast enhanced‑magnetic resonance imaging based on compressed sensing volumetric interpolated breath-hold examination in the differential diagnosis between benign and malignant thyroid nodules]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.007</link>
<description><![CDATA[Objective: To explore the value of dynamic contrast enhanced‑magnetic resonance imaging (DCE‑MRI) based on compressed sensing volumetric interpolated breath-hold examination (CS-VIBE) in the differential diagnosis between benign and malignant thyroid nodules. Materials and Methods: In this retrospective study, the patients with thyroids were enrolled from September 2020 to May 2021 in our hospital. A total of 84 nodules were included, including 43 malignant nodules and 41 benign nodules. All patients were examined by routine MRI and DCE‑MRI before the operation. The DCE‑MRI parameters including volume transfer constant (Ktrans), rate constant (Kep), extracellular space volume fraction (Ve) and initial area under curve (iAUC) were acquired. The difference of quantitative parameters between benign and malignant thyroid nodules was compared. The binary logistic regression analysis was used to build prediction model. The receiver operating characteristic (ROC) curces were performed to evaluate the diagnostic performance. Results: The malignant group had a significantly higher Ktrans value (P＜0.001), Kep value (P＜0.001) and iAUC value (P=0.001) than the benign group. The Ve value was not significantly different between malignant and benign nodules (P=0.177). In the prediction model, the sensitivity and specificity were 83.33% and 73.81%, respectively. Conclusions: The DCE‑MRI with CS-VIBE had good diagnostic performance in the differential diagnosis between benign and malignant thyroid nodules.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on the diagnostic efficacy of combined MRI sequences contrast MDCT in T staging of esophageal squamous cell carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.008</link>
<description><![CDATA[Objective: To compare the diagnostic efficacy between combined MRI sequences and multi detector-row computed tomography (MDCT) in T staging of esophageal squamous cell carcinoma, so as to provide a reference basis for clinical accurate T staging. Materials and Methods: Ninty patients with esophageal squamous cell carcinoma confirmed by biopsy in our hospital were prospectively collected. All of them had complete combined MRI sequences (high-resolution T2-TSE-BLADE sequence, high-resolution T1-STAR-VIBE-FS delayed enhancement sequence) and MDCT enhancement examination data. The evaluation was performed separately under double-blind by two attending radiologists, and the Kappa consistency test was used to evaluate the consistency of the T staging of the two subjects. The sensitivity, specificity and Yoden index of the above two T-staging methods were calculated according to the gold standard of postoperative pathology; the consistency of combined MRI sequences, single-mode sequence and MDCT staging were analyzed by Kappa consistency test according to the pathological criteria. Results: Postoperative pathological T staging: 22 patients (24.44%) in T1 stage, 22 patients (24.44%) in T2 stage, 34 patients (37.78%) in T3 stage and 12 patients (13.33%) in T4a stage. The Kappa values of the consistency test of the two T staging methods for the two subjects were 0.97 and 0.86, respectively. The results of this study: (1) The sensitivity, specificity and Youden index of the combined MRI sequences for T1-T3 stages are higher than those of MDCT; (2) The two staging methods have low sensitivity, high specificity, and low Youden index for T4a; (3) The Kappa values from high to low were combined MRI sequences (0.91), T1-STAR-VIBE-FS (0.81), T2-TSE-BLADE (0.78) and MDCT (0.71). Conclusions: Combined MRI sequences are better than MDCT for T staging of esophageal squamous cell carcinoma.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[The study of enhanced MR radiomics combining clinical factors in predicting early recurrence of hepatocellular carcinoma after resection]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.009</link>
<description><![CDATA[Objective: To develop and validate a preoperative MRI radiomics model combining clinical factors in predicting early recurrence of hepatocellular carcinoma after surgical resection. Materials and Methods: One hundred and sixteen patients (82 in the training set and 34 in the test set), who had been pathologically diagnosed as hepatocellular carcinoma (HCC) with preoperative abdominal dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) and relevant clinical factors, were recruited in this retrospective study. The 3D slicer software was used to delineate the ROI of lesions and extract the radiomics features. The radiomics score model was established by utilizing the maximum correlation-minimum redundancy algorithm (mRMR), minimum absolute contraction and selection operator (LASSO) feature selection procedure, Similarly, the clinical factors were introduced to build the Logistic regression model. The area under the receiver operating characteristic curve (AUC), Delong test and decision curve analysis (DCA) were performed to evaluate and compare the accuracy and difference of each radiomics model. Results: In all, nine radiomics features were selected to construct the radiomics score model. The clinical factors model, including TNM stage, alpha-fetoprotein level, γ-glutamylaminotransferase, Child-Pugh grade. The radiomics nomogram of integrated the radiomics score and clinical factors demonstrated better discriminative performance (AUC=0.79, 95% CI: 0.63-0.96) than the Clinical factors models (AUC=0.71, 95% CI: 0.52-0.90), Delong test Z=2.363, P=0.018. The decision curve analysis presented the improved clinical net benefit. Conclusion: The combined model based on preoperative MR radiomics and clinical factors can be served as effective imaging biomarker to predict early recurrence of hepatocellular carcinoma after surgical resection.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Identification of Alzheimer<sup><sup>,</sup></sup>s disease and mild cognitive impairment patients using individual-specific functional connectivity]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.010</link>
<description><![CDATA[Objective: To explore the value of the individual-specific functional connectivity based on resting state functional magnetic resonance imaging (rs-fMRI) in the classification of Alzheimer<sup><sup>,</sup></sup>s disease (AD) and mild cognitive impairment (MCI), and stable mild cognitive impairment (sMCI) and progress mild cognitive impairment (pMCI) patients. Materials and Methods: We used ADNI dataset, which included 47 normal controls (NC), 66 sMCI, 24 pMCI, and 29 AD patients. The individual-specific functional connectivity was used as input to select features with least absolute shrinkage and selection operator (LASSO). And SVM was performed for AD/MCI/NC multiclassification and sMCI/pMCI classification. We extracted the most discriminative functional connectivities, the two-sample t-test (P＜0.05) was used to compare the differences in the strength of the most discriminative functional connectivities between groups. Results: Compared with the functional connectivity estimated by Pearson correlation (73.49%), the individual-specific functional connectivity estimated by multi-task learning-based sparse convex alternating structure optimization (MTL-sCASO) achieved 85.54% accuracy rate for AD/MCI/NC multiclassification. The individual-specific functional connectivity showed higher accuracy for identification sMCI and pMCI than the functional connectivity constructed by Pearson correlation (86.67% vs. 75.56%). The strength of the most discriminative connectivity were significantly different between groups. Conclusions: The individual-specific connectivities is beneficial to the classification of AD and MCI, and the strength of functional connectivity could be used as a neuroimaging biomarker for the diagnosis of AD and MCI.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Alterations in amplitude of low frequency fluctuation and regional homogeneity in patients with neuromyelitis optica spectrum disorder and cognitive impairment: A resting-state functional magnetic resonance imaging study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.011</link>
<description><![CDATA[Objective: To investigate the alterations in amplitude of low frequency fluctuation (ALFF) and regional homogeneity (ReHo) in cognitively impaired patients with neuromyelitis optica spectrum disorder (NMOSD). Materials and Methods: Thirty-four patients with NMOSD and 39 healthy controls were included and underwent neuropsychological evaluations and resting-state functional magnetic resonance imaging scanning. Patients were classified as cognitively impaired (n=16) and cognitively preserved (n=18). ALFF and ReHo analyses were used to explore the differences in brain spontaneous activity among the cognitively impaired, cognitively preserved and healthy control groups. Data were processed and analysed using the DPABI toolbox based on MATLAB. Two-sample t-tests were used for comparisons of ALFF and ReHo between each two groups. ALFF and ReHo values in brain regions that showed statistical significance were extracted for correlation analysis with clinical and neuropsychological data in the whole NMOSD group. Results: The cognitively impaired group showed significantly higher ALFF in the left caudate nucleus and left parahippocampal gyrus compared to the cognitively preserved group, significantly higher ALFF in the left caudate nucleus compared to the healthy control group, and significantly lower ReHo in the left middle cingulate cortex compared to the healthy control group (P＜0.001 at voxel level and P＜0.05 at cluster level, GRF corrected). ALFF and ReHo values in brain regions with statistical significance showed significant correlations with multiple cognitive test scores in NMOSD patients. Also, ALFF values in the left caudate nucleus and parahippocampal gyrus were positively correlated with the number of relapses in patients (P＜0.05). Conclusions: Abnormal baseline brain activity in the left parahippocampal gyrus, caudate nucleus and middle cingulate cortex may be implicated in the neural mechanisms of cognitive decline in patients with NMOSD.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on diffusion kurtosis imaging of the caput nuclei caudate in children with autism spectrum disorder]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.012</link>
<description><![CDATA[Objective: To investigate the clinical value of diffusional kurtosis imaging (DKI) in evaluating caput nuclei caudate changes in children with autism spectrum disorder (ASD) accompanied by language impairment. Materials and Methods: A total of 34 children with ASD were collected as a case group and 30 healthy children in the same period as a control group. The independent sample t-test was used to analyze the differences in brain volume between the two groups. The DKI parameters of bilateral and right/left (R0) caudate nuclei in the two groups showed anisotropy fraction, mean diffusivity coefficient, axial diffusivity (Da), radial diffusivity (Dr), mean kurtosis (Mk), axial kurtosis, radial kurtosis (Kr) was used to analyze the relationship between DKI parameters of caudate nucleus and communication, language comprehension, and language expression scores by using Spearman correlation analysis. Results: Compared with the control group, an increase in white matter volume and gray matter volume of the ASD group (P＜0.05), decreased in the scores of communication, language comprehension, and language expression (P＜0.05). The R0-Da value (P=0.049), the Kr value of the left caput nuclei caudat, and the Mk value of the left caput nuclei caudate in the ASD group were greater than those in the control group, and the R0-Mk value less than the control group (P all＜0.05); In the control group, the left caput nuclei caudate Kr was negatively correlated with language comprehension scores (r=-0.514, P=0.004), and the left caput nuclei caudate Mk values were negatively correlated with language comprehension and language expression scores (r=-0.701, P＜0.001), (r=-0.614, P＜0.001), the R0-Mk values are positively correlated with language comprehension and language expression scores (r=0.481, P=0.007), (r=0.410, P=0.025 ), there was no correlation between the bilateral caput nuclei caudate and R0-DKI characteristic values and language scores of children in the ASD group (P＞0.05). Conclusions: DKI can be used to evaluate caudate head abnormalities in children with ASD, whose lateralization affects normal language expression.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Functional connectivity and regional homogeneity of resting state functional magnetic resonance imaging in patients with Ménière Disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.013</link>
<description><![CDATA[Objective: To investigate the alterations of functional connectivity (FC) and regional homogeneity (ReHo) by the resting-state functional magnetic resonance imaging (rs-fMRI) in patients with Ménière disease (MD). Materials and Methods: A total of 12 patients with active MD and 12 healthy control subjects were enrolled to rs-fMRI scan. Seed-based functional connectivity analysis of bilateral thalamus was performed using the REST-plus software. The data were analyzed to evaluate the differences in ReHo values between the two groups by the Kendall<sup><sup>,</sup></sup>s coefficient concordance regional homogeneity (KCC-ReHo) and coherence regional homogeneity (Cohe-ReHo). Results: Compared with the healthy control group, the increased connectivity of right thalamus and right inferior frontal gyrus was showed in MD patients. KCC-ReHo in MD patients were higher in the left inferior temporal gyrus, lower in the right superior frontal gyrus; Cohe-ReHo in MD patients was higher in the right cerebellum and the left inferior temporal gyrus, lower in the right parietal superior gyrus, right superior frontal gyrus, and left precuneus (corrected by Alphasim, P＜0.05 after correction). Conclusions: This study identified specific alterations of FC and ReHo values in patients with MD, which may relate to the pathogenesis of Meniere<sup><sup>,</sup></sup>s disease.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on the change of resting state degree centrality and correlation in patients with obstructive sleep apnea]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.014</link>
<description><![CDATA[Objective: To utilize the resting state magnetic resonance imaging degree centrality (DC) techniques to explore the Abnormal alterations in the centrality of whole brain network nodes in patients with obstructive sleep apnea (OSA). Materials and Methods: Thirty-nine newly diagnosed and treatment-naïve patients with OSA and 52 healthy controls were prospectively included for MRI cranial scan and cognitive psychological scale assessment. Compare the differences of whole brain DC values between the two groups, and then correlated with cognitive psychological scale scores and clinical data for analysis. Results: Compared with controls, patients with OSA presented significantly lower DC values in the right precuneus and left medial superior frontal gyrus and significantly higher DC values in the right parahippocampal gyrus (GRF corrected, P＜0.001 for single voxels, P＜0.05 for cluster size). DC values of the left medial superior frontal gyrus was positively correlated with Insomnia Severity Index scores (r=0.326, P=0.043); DC values of the right parahippocampal gyrus was negatively correlated with the total Montreal Cognitive Assessment Scale (MoCA) score (r=-0.361, P=0.024) and MoCA memory score (r=-0.333, P=0.039). Conclusions: Patients with OSA have abnormal DC values in the core brain regions of the default mode network and the parahippocampal gyrus, and such abnormalities are primarily associated with the cognitive memory function,which may be important neuroimaging biological markers of cognitive dysfunction in patients with OSA.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Compared study on the efficacy and safety of MR and CT guided percutaneous VX2 hepatic para-vascular tumor model in rabbits]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.015</link>
<description><![CDATA[Objective: To compare the efficacy and safety of 1.5 T closed magnetic resonance (MR) and computed tomography (CT) guided VX2 hepatic para-vascular tumor model in rabbits. Materials and Methods: Sixty New Zealand white rabbits were randomly and equally divided into MR-guided group (n=30) and CT-guided group (n=30). Rabbit VX2 tumor fragments was implanted beside the rabbit hepatic great vessels under MR and CT-guidance in the MR and CT group respective, to evaluate the success rate of tumor model establishment, puncture needle pseudopacity/artifact and vascular development around the needle tip, operation time and safety. Results: The success rate of MR-guided modeling was 96.7%, only 1 rabbit had needle metastasis, the success rate of CT-guided modeling was 80.0%, 2 rabbits had needle metastasis, 3 rabbits had metastases in other parts of the liver, and 1 had unknown cause of death. The differences in success rate of tumor model establishment between the two groups was statistically significant (P=0.044). The fold number of artifacts at T1 weighted imaging (T1WI) was 7.26±0.38 for the 20 G coaxial puncture needle in the MR-guided group and 2.51±0.57 for the 20 G coaxial puncture needle in the CT-guided group, and the difference was statistically significant (P＜0.01), but 13 rabbits (43.3%) in the CT-guided group showed star-shaped hypodense artifacts would appear around the needle tip, which interfered with intrahepatic vascular display, and the difference was statistically significant (χ2=8.523, P＜0.01). The operation time was longer in the MR-guided group than in the CT-guided group (13.32±2.45) min in the MR-guided group vs. (8.42±1.46) min in the CT-guided group; P＜0.001). A small amount of ascites occurred in 2 patients (6.67%) in the CT-guided group. No serious complications such as liver abscess, jaundice or diaphragmatic perforation were observed in either groups. Conclusions: Compared with CT, MR-guided hepatic para-vascular tumor implantation in rabbits might be a more effective modeling method. Although the needle tip pseudopacity of puncture needle is large and the operation takes a long time, the vascular development around the needle tip is clear and the incidence of complications is low.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[A comparative study on phantom verification of T1 and T2 relaxation values determined by synthetic MRI and conventional mapping methods]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.016</link>
<description><![CDATA[Objective: To verify the accuracy and repeatability of the quantitative imaging of longitudinal relaxation time (T1) and transverse relaxation time (T2) relaxation in synthetic MRI. Materials and Methods: For a 3.0 T MR device, three phantoms of gray matter, white matter and cerebrospinal fluid were respectively scanned by synthetic MRI and conventional quantitative magnetic resonance imaging (qMRI), and the acquisition was repeated four times. For conventional qMRI, the corresponding T1 and T2 values were obtained by fitting calculation, while for synthetic MRI, the T1 and T2 values were calculated using MAGiC software. Two-way analysis of variance was used to compare phantom values obtained by synthetic MRI and those calculated by conventional mapping methods. Results: The results of analysis of variance of T1and T2 showed that there are no significant difference between the synthetic MRI and conventional qMRI (F=0.113, P=0.7537 and F=0.001, P=0.9737, respectively). For either method, there was no significant difference at different time points (F=0.613, P=0.4968 and F=1.162, P=0.3498, respectively). Conclusions: The relaxation quantitative calculation results of T1 and T2 under the synthetic MRI are accurate, which is conducive to clinical application.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Effect of signal intensity inhomogeneity correction on quantitative susceptibility mapping of brain]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.017</link>
<description><![CDATA[Objective: To evaluate the effects of coil selection and signal intensity inhomogeneity on the susceptibility values of deep gray matter nuclei measured by quantitative susceptibility mapping (QSM). Materials and Methods: Ten healthy subjects were scanned on a 2.89 T MRI system using 20- and 64-channel combined head-neck coils. QSM reconstructions were performed before and after correcting signal intensity inhomogeneity of the original gradient-echo images, respectively. Six bilateral deep cerebral gray matter nuclei were manually drawn on susceptibility maps, including red nucleus, substantia nigra, globus pallidus, putamen, caudate nucleus, and dentate nucleus. Paired sample t test, linear correlation analysis and Bland-Altman analysis were used to compare the differences and consistency of susceptibility values between groups with and without intensity inhomogeneity correction using different coils. Results: The susceptibility maps with intensity inhomogeneity correction demonstrated improved boundaries of deep gray matter nuclei and susceptibility values increased significantly. The mean susceptibility values of deep gray matter nuclei after correction were highly correlated with those before correction (20-channel: slope K=1.06, R2=0.96; 64-channel: slope K=1.12, R2=0.95). The mean susceptibility values of deep gray matter nuclei from 20-channel coil were highly correlated with those from 64-channel coil (without correction: slope K=0.92, R2=0.96; with correction: slope K=0.98, R2=0.96). There was no statistically significant difference in the mean susceptibility values between the 20- and 64-channel coils acquisition after correcting the intensity inhomogeneity. Bland-Altman results showed no significant deviation between the 20- and 64-channel coils acquisition after the correction on the intensity inhomogeneity.Conclusions: The signal intensity inhomogeneity affects the susceptibility values of the deep brain nuclei, and inhomogeneity correction can improve the accuracy of susceptibility values of deep gray matter nuclei.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Comparative study of 3D-FLAIR sequence based on compressed sensing and the conventional 2D-FLAIR sequence in white matter lesion imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.018</link>
<description><![CDATA[Objective: To compare the imaging quality of 3D-FLAIR sequence based on compressed sensing (CS) with the conventional 2D-FLAIR sequence in detection of brain white matter lesions. Materials and Methods: Forty patients with white matter lesions who underwent both CS 3D-FLAIR and 2D-FLAIR were analyzed. The signal-to-noise ratio (SNR) and contrast noise ratio (CNR) of the images were calculated. The overall image quality and number of the white matter lesions were evaluated by two experienced radiologists. Statistical analysis was performed by Wilcoxon assay. Results: The acquisition time of 3D-FLAIR sequence by using CS technique could be shorted to be equal to that of 2D-FLAIR sequence. No significant differences were observed for the SNR and CNR between the CS 3D-FLAIR and 2D-FLAIR sequences (Z=-1.18, P=0.24; Z=-1.92, P=0.14). The overall image quality for CS 3D-FLAIR sequence were better than the 2D-FLAIR sequence (Z=-3.99, P＜0.001), and more white matter lesions were detected from the CS 3D-FLAIR sequence than those from the 2D-FLAIR sequence (Z=-3.75, P=0.006). The pulsatile artifactsin the fourth-ventricle layer on the 2D-FLAIR images were suppressed on the CS 3D-FLAIR images. Conclusions: In the case of the same acquisition time, the advantages of the CS 3D-FLAIR, including better overall image quality and suppressed pulsation artifacts, make it more attractive in the detection of white matter lesions than the 2D-FLAIR, which is recommended for clinical application.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Application value of gray level co-occurrence matrix in differentiating vestibular schwannoma from cerebellopontine angle meningioma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.019</link>
<description><![CDATA[Objective: To investigate the value of gray-level co-occurrence matrix (GLCM) in the differential diagnosis of vestibular schwannoma (VS) and cerebellopontine angle meningioma (CPAM). Materials and Methods: Retrospective analysis of 41 patients cases with VS and CPAM confirmed by pathology, all patients underwent conventional MRI plain scan + enhanced scan before operation. Measure and record GLCM parameters, including energy, contrast, correlation, inverse difference moment and entropy. Two independent samples t test or Mann-Whitney U test were used to compare the GLCM parameters of each sequence, and ROC curve analysis was used to judge the diagnostic power of each parameter. Results: The difference in contrast, correlation, and inverse difference moment between the two groups of T2WI sequence was statistically significant (P＜0.05); the difference in contrast and inverse difference moment between the two groups of FLAIR sequence was statistically significant (P＜0.05); the difference in the contrast and inverse difference moment between the two groups of enhanced T1WI sequences was statistically significant (P＜0.05). Among the various parameters of the sequence, the T2WI sequence has the best diagnostic efficiency by contrast, with the largest AUC value of 0.971, and the sensitivity and specificity are 91.30% and 94.44%, respectively. Conclusions: Gray-level co-occurrence matrix is helpful to distinguish vestibular schwannoma from cerebellopontine angle meningioma, and can provide important clinical reference value.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Clinical application of cardiac magnetic resonance feature tracking technique in rheumatic mitral stenosis and concurrent atrial fibrillation]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.020</link>
<description><![CDATA[Objective: To evaluate the clinical application of cardiovascular magnetic resonance imaging feature tracking (CMR-FT) in patients with rheumatic mitral stenosis and concurrent atrial fibrillation (RMS-AF). Materials and Methods: We retrospectively studied 26 patients with RMS-AF who were treated in our hospital from January 2020 to July 2021. Their clinical and cardiac MRI data before surgery were analyzed, while 10 normal CMR subjects in the same period were collected as the healthy control group. CMR-FT was used to analyze the left atrium (LA) strain (εs/εe/εa) and strain rate (SRs/SRe/SRa). εs/SRs, εe/SRe and εa/SRa represented LA storage function, pipeline function and booster pump function respectively. Results: Compared with control group, RMS-AF group had higher heart rate [(77±7) vs. (96±26), t=3.492, P=0.001]; In RMS-AF group, left ventricular function decreased [(59.9±6.7)% vs. (42.0±9.1)% , t=-5.599, P＜0.001], LA diameter increased [(30.8±3.0) vs. (55.9±13.0), t=5.989, P＜0.001], left atrial total ejection fraction decreased [(58.3±2.1)% vs. (12.1±3.5)%, t=-39.401, P＜0.001], and LA global functional strain parameters εs/εe/εa/SRs/SRe/SRa were significantly decreased than those in the control group (all P＜0.001). The inter and intraclass correlation coefficients (ICC) of RMS-AF group and the control group showed good consistency (ICC≥0.88, 95% CI: 0.78-0.93). Conclusions: CMR-FT can evaluate the LA strain parameters and judge LA function (reservoir, pipeline, and booster pump function) without contrast agent. It can be used as a helpful imaging biomarker of clinical diagnosis and treatment in RMS-AF.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Diffusion kurtosis imaging study on changes of brain microstructure and cognitive function in breast cancer survivors with chemotherapy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.021</link>
<description><![CDATA[Objective: To study changes of brain microstructure and cognitive function after chemotherapy in breast cancer survivors by using voxel-based analysis of diffusion kurtosis imaging (DKI). Materials and Methods: A total of 23 breast cancer patients (Stage Ⅰ- Ⅲ), confirmed by pathology, and 26 age-and gender-matched control healthy volunteers were recruited for prospective Neuropsychological assessments and DKI data acquisition. The statistical product and SPSS 25.0 software was performed to evaluate the difference of subjects<sup><sup>,</sup></sup> general clinical data and mean kurtosis (MK), axial kurtosis (AK), radial kurtosis (RK) value, the correlation between DKI parameters of different brain regions and neuropsychological assessments scores were analyzed. Results: There were no statistically significant differences in neuropsychological scores and MK, AK, RK value between the chemotherapy group and the control group before chemotherapy. There were statistically significant differences in Montreal Cognitive Assessment Scale (MoCA), Clock Drawing Test, Auditory Verbal Learning Delay 5 min Test (AVLT2) scores and MK, RK value before and after chemotherapy (P＜0.05). MK value in the genu of corpus callosum, the right posterior cingulate gyrus and the right superior frontal gyrus decreased significantly; RK value in the posterior cingulate gyrus, the right middle frontal gyrus decreased significantly after chemotherapy by false discovery rate (P＜0.05). Correlation analysis shows that MK value of the right posterior cingulate gyrus was positively correlated with AVLT2 results (r=0.548, P=0.007); RK value of the posterior cingulate gyrus was positively correlated with MoCA results (r=0.654, P=0.001) after chemotherapy. Conclusions: In the short term, there are dominant region associated with cognitive impairment in breast cancer survivors with chemotherapy. The MK, RK value can be sensitive to changes of brain microstructure, and provide valuable reference for early evaluation of chemotherapy-related cognitive impairment.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of IDEAL-IQ in differential diagnosis of AFP-negative hepatocellular carcinoma and focal nodular hyperplasia]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.022</link>
<description><![CDATA[Objective: To evaluate the value of iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification (IDEAL-IQ) sequence in the diagnosis and differential diagnosis of alpha fetoprotein (AFP) negative hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH). Materials and Methods: Retrospective analysis was performed on 28 cases of AFP negative HCC and 15 cases of FNH. All patients received routine liver MR scans and IDEA-IQ sequence scan preoperatively. The R2* and fat fraction (FF) values of the lesion and background liver tissue were respectively measured in the two groups and analyzed statistically. Receiver operating characteristic (ROC) curve was used to analyze and compare the diagnostic efficiency of relevant parameters in the two groups. Results: The values of FFlesion and R2*liver/R2*lesion in HCC and FNH group were (8.28%±5.76% , 2.98±1.08) vs. (2.56%±1.25%, 1.90±0.50), respectively, with statistical significance (P＜0.05). R2*lesion and FFliver in the two groups were [(21.15±5.80) Hz, 4.02%±2.54%] vs. [(22.79±6.07) Hz, 4.23%±3.32%], respectively, with no statistical significance (P＞0.05). The area under the curve (AUC) of FFlesion and R2*liver/R2*lesion were 0.923 (P＜0.001) and 0.883 (P＜0.001), respectively. Conclusions: The FFlesion value and R2*liver/R2*lesion have differential diagnostic value for both of them and the AUC of FFlesion is larger than that of R2*liver/R2*lesion.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Comparison of scores between PI-RADS v2.1 and PI-RADS v2 based on prostate slice-by-slice pathology]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.023</link>
<description><![CDATA[Objective: To analyze changes in prostate cancer scores between PI-RADS v2.1 and v2. Materials and Methods: Retrospective review of 53 consecutive multiparametric MRI from Dec 2012 to Jul 2017. Eighty-nine cancers diagnosed by whole-mount step-section pathology were collected and corresponding MRI images were interpreted by two radiologists together using both PI-RADS v2.1 and v2. Results: Comparing v2.1 with v2, 11.2% of PI-RADS scores changed (20.5% in the transition zone, 4% in the peripheral zone). There was no statistically significant difference in the proportion of PI-RADS ≥3 between the PI-RADS v2.1 and v2 (73.0% vs. 70.8%, P＞0.05). There were no statistically significant difference in area under the ROC curve (AUC) between the PI-RADS v2.1 and v2 for detecting all csPCa, csPCa in the transition zone and peripheral zone (0.873 vs. 0.895, Z=1.098, P=0.272; 0.867 vs. 0.878, Z=0.301, P= 0.763; 0.841 vs. 0.884, Z=1.231, P=0.218). Conclusions: The most prominent change between v2.1 and v2 was observed in the transition zone with downgrading from PI-RADS 2 to 1. Overall, the total number of PI-RADS ≥3 was not changed significantly, with an expected low influence in clinical management.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Construction of prediction model of intermediate risk factors for early cervical cancer based on preoperative MRI radiomics and clinical features]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.024</link>
<description><![CDATA[Objective: To establish and validate a combined predictive model based on pretreatment dual-sequence MR (T2 weighted imaging and contrast-enhanced T1 weighted imaging) imaging features and clinical features to predict intermediate risk factors in patients with early cervical cancer ( ⅠB and ⅡA) less than 4 cm. Materials and Methods: A total of 170 patients eligible for inclusion with cervical cancer from our hospital between 2016 and 2021 were retrospectively collected, and were divided into intermediate-risk and non-intermediate-risk groups based on postoperative pathological results. The cases were randomly divided into training group (n=119) and validation group (n=51) according to the ratio of 7:3. Analysis Kinetics software was used to extract radiomics characteristics. Multivariate Logistic regression analysis was used to develop the clinical model, the radiomics signature (Rad-score) and the clinical-radiomics model (the combined model). Performance of the three models were assessed by using receiver operating characteristic curves, calibration curves and decision curve analysis (DCA). Results: The combined pretreatment clinical-radiomics model could predict intermediate-risk cervical cancer (AUC＝0.853, P＜0.01). Sensitivity of the clinical-radiomics model was 85.5% and specificity was 78%. The combined model showed better performance than clinical model and no significant difference compared with radiomics model. Conclusions: The intermediate risk factors in early cervical cancer (ⅠB and ⅡA) less than 4 cm can be predicted with the combined clinical-radiomics model based on dual-sequence MRI and clinical characteristics. Therefore, it could benefit individualized treatment decision-making.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Analysis of the structure of normal female urethral sphincter complex and levator ani muscles by magnetic resonance diffusion tensor imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.025</link>
<description><![CDATA[Objective: To explore the influence of delivery and age on the microtissue structure of urethral sphincter complex and levator ani muscles in normal female by 3.0 T MR diffusion tensor imaging, and to provide an objective basis for analyzing the pathogenesis of pelvic floor dysfunction. Materials and Methods: Prospectively, 103 women without pelvic floor dysfunction were collected and divided into 24 cases in the normal control group and 79 cases in the menstrual group based on the presence or absence of the history of delivery, and then the menstrual group was divided by age group into those ≤30 years (19 cases), 31-44 years (22 cases), 45-59 years (27 cases) and ≥60 years old group (11 cases). A two-dimensional diffusion-weighted transverse spin-gradient echo (SE-GRE) pulse se‐quence was used to perform pelvic floor diffusion tensor imaging (DTI) in all subjects, and DTI parameters, including fraction anisotropy (FA), apparent diffusion coefficient (ADC) values, and three eigenvalues (λ1, λ2, and λ3) were measured in the middle urethral circle sphincter, longitudinal muscle, puborectalis muscle, and iliococcygeus muscle fibers to .analyze the effects of delivery history and differ‐ent age groups on the microstructure of the urethra and levator ani muscles. Results: (1) The FA value of the puborectalis muscle in the group under 30 years was smaller than that of the normal control group in the menstrual group, and the difference was statistically signifi‐cant (t=2.206, P=0.030); (2) There was a statistically significant difference between ADC values, λ2 values and λ3 values of the middle urethral ring sphincter between different age groups in the transmaternal group (F=3.547, 4.105, 3.596, P=0.018, 0.009, 0.017), but there was no statistically significant difference in the DTI parameters of the longitudinal muscle of the middle urethra (P＞0.05); (3) In the multiparous women group, the FA value, ADC value, λ1 value and λ2 value of the puborectalis muscle were compared between different age groups, and the differences were statistically significant (F=8.071, 6.051, 6.672, 3.688, P＜0.001, P=0.001, P＜0.001, P=0.013); (4) In the multiparous female group, the FA value, ADC value and λ3 value of the iliococcygeus muscle were compared between different age groups, and the differences were statistically significant (F=5.676, 3.110, 5.175, P=0.001, 0.028, 0.002). Conclusions: Delivery mainly affects the microstructure of the puborectalis muscle, the age factor has a certain influence on the microstructure changes of the urethral annular sphincter and levator ani muscles. DTI technology is of great value in observing the pelvic floor muscle structure and evaluating the microstructure changes.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[A study of IVIM magnetic resonance imaging to identify wrist synovitis in rheumatoid arthritis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.026</link>
<description><![CDATA[Objective: To assess the feasibility of intravoxel incoherent motion (IVIM) magnetic resonance imaging for the detection of synovial thickening of the wrist in patients with rheumatoid arthritis. Materials and Methods: Thirteen patients (mean age 47 years, range 26 to 74 years) with a definite diagnosis of active rheumatoid arthritis were recruited. All patients underwent 3.0 T MRI including proton density weighted-spectral attenuated inversion recovery (PDW-SPAIR), dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and IVIM. Scanning range includes the distal ulnar radius, wrist joint and 1-5 metacarpophalangeal joints. Region of interests were manually drawn on high signal regions in coronal PDW-SPAIR, and copied to the same position of diffusion weighted imaging (DWI) and enhancement images by three different radiologists. ADC values, permeability parameters (Ktrans, Kep, Ve, Vp) and IVIM parameters (f, D*, D) were automatically acquired and recorded. Interobserver agreement was assessed using Fleiss Kappa analysis. The relationship between MRI enhancement results and ADC values, quantitative permeability parameters, quantitative IVIM data were evaluated using Spearman correlation coefficient. The ability of each permeability parameter to identify synovial thickening was evaluated using the area under the ROC curve (AUC). The AUCs were furtherly compared by Delong test. P＜0.05 was considered a statistically significant difference. Results: There was good agreement of inter-reader evaluation (Fleiss Kappa value=0.718, 95% CI: 0.717-0.720, P<0.05). The degree of enhancement was positively correlated with Ktrans (r=0.933, P＜0.05). There was no significant difference in the values of Kep、Ve、Vp、f and D* values in identifying synovial thickening (P＞0.05). The Ktrans correlated with ADC values and D values [r=-0.395 (95% CI: -0.532--0.212), r=-0.489 (95% CI: -0.609--0.342), respectively, P＜0.05]. The AUC value of D* (0.793, 95% CI: 0.712-0.873) was significantly higher than that of ADC (0.706, 95% CI: 0.602-0.810, P＜0.05). Conclusions: IVIM MRI can be used to detect rheumatoid wrist synovitis.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of cerebellar structure and functional magnetic resonance imaging in Parkinson<sup><sup>,</sup></sup>s disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.032</link>
<description><![CDATA[Parkinson<sup><sup>,</sup></sup>s disease (PD) is the second largest neurodegenerative disease after Alzheimer<sup><sup>,</sup></sup>s disease. It is considered a "classic" basal ganglia disease, so most research on PD has focused on the basal ganglia, while the cerebellum is often overlooked. In recent years, more and more anatomical, pathophysiological and clinical evidences have shown that the cerebellum plays a very important role in the occurrence and development of PD. With the rapid development of MRI technology, more and more scholars have found that there are obvious changes in the cerebellar structure and functional MRI of PD patients, and these changes are related to movement, cognition, sleep function, etc. This paper summarizes the changes of cerebellar structure and functional MRI in PD patients. The results show that there are obvious gray matter atrophy, white matter microstructure changes, abnormalities in spontaneous neuronal activity and changes in perfusion patterns, etc. in the cerebellum of PD patients. However, so far, studies on the structural and functional MRI changes of the cerebellum in PD patients have shown great heterogeneity, and there is no PD-specific atrophy pattern or related specific imaging indicators. In the future, it is expected to search for sensitive neuroimaging biomarkers for early diagnosis of PD from the perspective of the cerebellum.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Progresses on the study of structural and functional MRI changes of cerebellum in patients with temporal lobe epilepsy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.033</link>
<description><![CDATA[The pathogenesis of epilepsy is very complex and still not fully understood. The well-known mechanism is the imbalance of excitation and inhibition in the central nervous system. With the development of MRI technology, more and more studies use advanced imaging technology to explore the mechanism of epilepsy from the perspective of cerebellar structural and functional changes. Current studies have found changes in the structure and function of the cerebellum in patients with different types of epilepsy. This paper summarizes the previous studies on the abnormal changes in the structure and function of the cerebellum in patients with temporal lobe epilepsy (TLE). Changes in white matter pathways and cerebellum-hippocampal connections between the brains, functional connectivity impairments between the cerebellum and some cerebral regions, and the role of the cerebellum in networks such as the alertness network and the default mode network. The cerebellum is also associated with cognitive, executive control, language, and memory impairments in patients with TLE. There are also abnormalities in cerebellar perfusion and metabolism. The use of advanced MRI technology is expected to further clarify the role of the cerebellum in TLE, reveal the pathophysiological mechanism of TLE, and make the cerebellum a potential therapeutic target for TLE in the future.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of rs-fMRI in brain ischemic white matter lesions]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.034</link>
<description><![CDATA[Ischemic white matter lesions (WML) involves substantial damage to brain structure and function, which is common in elderly adults over 60 years old, mainly affecting cognitive function, motor function, and daily communication. However, the pathogenesis of WML is still unclear. Resting-state functional magnetic resonance imaging (rs-fMRI) is an emerging technology to detect spontaneous neural activity in the brain in resting state noninvasively, and is often used to study the pathological mechanism of cognitive and behavioral dysfunction in WML patients. This paper reviews the research progress of rs-fMRI analysis methods in WML, including regional homogeneity, functional connection, resting-state network, graph theory analysis, and amplitude of low-frequency fluctuation.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of deep learning and radiomics in glioma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.035</link>
<description><![CDATA[Deep learning is a branch of artificial intelligence. It has developed rapidly in disease detection and prognosis evaluation, and has become a popular research method, especially in the field of medical image in recent years. Radiomics is a very considerable method in the study of glioma. Deep learning and radiomics based on MRI can make differential diagnosis and classification of glioma, predict the genotype change status before operation, evaluate the treatment effect and predict the progression free survival and overall survival after operation, which provides a important basis for clinical treatment and postoperative follow-up. It is a research hotspot of glioma at present. This paper is to review the research progress of deep learning and radiomics based on MRI in the differential diagnosis, preoperative grading, genotyping and prognosis of glioma.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of multimodal functional magnetic resonance imaging in high intensive focused ultrasound ablation of uterus myomas]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.036</link>
<description><![CDATA[Uterus myomas are the most common gynecological benign tumors in women of childbearing age. High intensity focused ultrasound (HIFU) is a non-invasive technology for the treatment of uterus myomas, which relies on the thermal and mechanical energy of ultrasound to ablate the target tissue under the guidance of monitoring images, resulting in tissue coagulation necrosis. functional magnetic resonance imaging plays an important role in evaluating the efficacy and safety of HIFU ablation of uterus myomas. It can provide noninvasive functional, perfusion and metabolic information for the prediction of preoperative efficacy, postoperative efficacy evaluation and observation of surrounding tissue changes. This article reviews the research progress of multimodal functional magnetic resonance imaging in HIFU ablation of uterus myomas.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of anterior cruciate ligament injury of knee using MRI: Based on deep learning]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.04.037</link>
<description><![CDATA[Magnetic resonance imaging is the preferred non-invasive assessment method for anterior cruciate ligament injuries of the knee. At present, the diagnosis of anterior cruciate ligament injury mainly relies on the clinical experience of radiologists and is time-consuming and labor-intensive. Deep learning is an arising meaningful branch of machine learning, which uses neural networks as the architecture and characterizes data for learning. In recent years, the main application of deep learning in anterior cruciate ligament of the knee joint focused on anterior cruciate ligament segmentation and injury classification (including binary classification and multi-classification), but researches on segmentation of injured ligaments and prediction of related diseases are still in an initial stage. Nevertheless, deep learning can quickly achieve the automatic segmentation of anterior cruciate ligament and the classification assessment of anterior cruciate ligament injury simultaneously, which can significantly improve the productiveness of radiologists. In this paper, we review the research on MRI-based on deep learning in anterior cruciate ligament injuries of the knee.]]></description>
<pubDate>Wed,20 Apr 2022 00:00:00  GMT</pubDate>
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