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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=202110</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[Application of multi-parameter MRI and Cyclin D1 in predicting axillary lymph node metastasis of breast cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.001</link>
<description><![CDATA[Objective: To predict axillary lymph node metastasis of breast cancer using multi-parameter magnetic resonance imaging (MRI) combined with Cyclin D1. Materials and Methods: The clinical data of 55 patients with breast cancer in our hospital were retrospectively analyzed. Univariate analysis was used to evaluate the relationship between clinical, pathological, multi parameter MRI features and axillary lymph node metastasis. The ROC curve, area under the curve (AUC), the sensitivity and specificity of breast cancer lesion size, the maximum cortical thickness of ipsilateral axillary lymph nodes, Cyclin D1 expression and combined factors were calculated to evaluate the diagnostic efficiency of axillary lymph node metastasis. Results: In 55 cases of breast cancer, there were significant differences in lesion size, apparent diffusion coefficient (ADC) value, number and diameter of blood vessels around the lesion and maximum cortical thickness of ipsilateral axillary lymph node between axillary lymph node metastasis positive and negative groups (P＜0.05). 67.86% (19/28) of Cyclin D1 high expression group and 14.81% (4/27) of Cyclin D1 low expression group had axillary lymph node metastasis, the difference was statistically significant (P＜0.05). Lesion size, maximum cortical thickness of ipsilateral axillary lymph node and Cyclin D1 high expression increased the risk of axillary lymph node metastasis (OR=1.09, 1.41, 12.57, P＜0.05). According to axillary lymph node metastasis status, the ROC curve of the lesion size, ipsilateral axillary lymph node cortical thickness, Cyclin D1 expression and prediction models (Model 1: ipsilateral axillary lymph node cortical thickness and Cyclin D1 expression; Model 2: maximum diameter of lesion and Cyclin D1 expression; Model 3: maximum diameter of lesion, ipsilateral axillary lymph node cortical thickness and Cyclin D1 expression) were drawn, AUC was 0.808, 0.887, 0.772, 0.791, 0.773 and 0.751. ROC curve analysis showed that the best critical value of the maximum diameter of the lesion was 28.5 mm, the maximum thickness of axillary lymph node cortex was 5.5 mm. The sensitivity of maximum cortical thickness of ipsilateral axillary lymph nodes was 91.3%, and the specificity of Model 2 and 3 was 93.7%. Conclusions: Lesion size, maximum cortical thickness of ipsilateral axillary lymph node and Cyclin D1 high expression will increase the risk of axillary lymph node metastasis, which can be used as an independent predictor. The combined model of lesion size and Cyclin D1 high expression or the combined model of lesion size, ipsilateral axillary lymph node cortical thickness and Cyclin D1 high expression can significantly improve the diagnostic specificity, and can be used for preoperative noninvasive prediction of axillary lymph node metastasis in breast cancer.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[MR texture analysis of paravertebral fat infiltration in patients with chronic low back pain based on IDEAL-IQ sequence]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.002</link>
<description><![CDATA[Objective:To quantitatively evaluate how the fat infiltration degree of paravertebral muscles correlated with Goutallier grade in patients with chronic low back pain (LBP) by the iterative decomposition of water and fat with echo asymmetrical and least-squares estimation quantitation sequence (IDEAL-IQ), and to investigate the feasibility of MR texture analysis in evaluating paravertebral muscle fat infiltration based on fat fraction image. Materials and Methods: Ninty-seven patients (50 males and 47 females) with LBP who underwent lumbar magnetic resonance examination were selected. The routine protocol included sagittal T2-weighted imaging (T2WI), axial T2WI and axial IDEAL-IQ sequence. The fat infiltration of paraspinal muscles in L1—S1 intervertebral disc (IVD), which were psoas major (PS), erector spinae (ES) and multifidus muscle (MF), was graded by T2WI-based Goutallier classification. Measured fat fraction (FF) and cross-sectional area (CSA) of paravertebral muscles by IDEAL-IQ sequence, obtained texture feature parameters based on fat fraction image. Between Goutallier classification groups, compared the difference of FF and CSA in paravertebral muscles by one-way analysis of variance. The relevance of the classification of Goutallier with FF and CSA was evaluated by adopting the analytic method of Spearman correlation. Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficiency of texture analysis parameters, and Spearman correlation was used to analyze the correlation between the texture parameters and FF. Results: Between different Goutallier grade groups, there were significant differences in FF and CSA of paravertebral muscles fat infiltration in IVD. The Goutallier grade of MF and ES was significantly correlated with FF (the correlation coefficients were 0.753、 0.819), while the Goutallier grade of PS was weakly correlated with FF (the correlation coefficient was 0.136). The Goutallier grade of ES, MF and PS was strongly, moderately and weakly correlated with CSA (correlation coefficients were -0.512, -0.338, -0.082, P＜0.001). The texture feature parameters had a good diagnostic effect on the Goutallier grade of paravertebral muscles. Among these figures, meanvalue, Quantile 0.975 and Variance were significantly correlated with FF of paravertebral muscles (correlation coefficients were 0.887, 0.777, and 0.776), VoxelValueSum, kurtosis, skewness, uniformity, HaralickCorrelation_angle135_offset7, Haralick Correlation_angle90_offset4 and Inverse Difference Moment_AllDirection_offset4 showed a strong correlation with FF of paravertebral muscles (correlation coefficients were 0.609, -0.687, -0.569, 0.601, 0.633, 0.714, -0.604), Cluster Shade_AllDirection_offset 7 showed a moderate correlation with FF of paravertebral muscles (correlation coefficients were 0.497). Conclusions: The Goutallier grade of lumbar paravertebral PS, ES and MF in patients with chronic low back pain were correlated with FF and CSA, and it was feasible to evaluate paravertebral fat infiltration by texture analysis based on IDEAL-IQ sequence fat fraction image.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of T2WI sequence-based radiomics in predicting recurrence of acute pancreatitis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.003</link>
<description><![CDATA[Objective: To explore the value of MRI T2WI sequence radiomics in predicting the recurrence of acute pancreatitis (AP). Materials and Methods: One hundred and forty-seven cases of AP in the Affiliated Hospital of North Sichuan Medical College from January 2014 to December 2015 were retrospectively analyzed, including 102 cases of primary AP and 45 cases of recurrent acute pancreatitis (RAP). They were randomly divided into a training group and a validation group in a 7∶3 ratio, 102 cases in training group (AP 70 cases, RAP 32 cases) and 45 cases in verification group (AP 32 cases, RAP 13 cases). Clinical characteristics of the two groups were also collected (age, sex, calculus, hyperlipidemia, history of alcohol consumption, complications, severity). IBEX software was used to outline the three dimensional surrounding pancreas parenchyma and extract texture features, including gray level co-occurrence matrix, gray level run length matrix, histogram and shape. Single factor analysis and least absolute shrinkage and selection operator (LASSO) were used for feature screening. Logistics regression was used to establish the radiomics model and clinical model for predicting AP recurrence. The predictive power of the model was evaluated by the area under the ROC curve (AUC). Results: The radiomics model based on eight texture features (information measurement correction, clustering trend, correlation, dissimilarity, entropy, run nonuniformity, skewness, and volume) has a high diagnostic efficiency for predicting AP recurrence.In the training group, the AUC of AP recurrence predicted by radiomics model was 0.870 (95% CI: 0.791—0.949), the sensitivity and specificity were 0.903 and 0.831 respectively. The AUC in the validation group was 0.836 (95% CI:0.718—0.954), the sensitivity and specificity were 0.786 and 0.774 respectively. The AUC for predicting AP recurrence based on the clinical model of hyperlipidemia is 0.634 (95% CI:0.550—0.717), the sensitivity and specificity were 0.689 and 0.578 respectively. Conclusions: Based on MRI T2WI sequence radiomics model can predict AP recurrence. Information measurement correction, clustering trend, correlation, dissimilarity, entropy, run nonuniformity, skewness and volume are significant predictors of RAP.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[A neural network radiomics model for diagnosing lymph node metastasis in cervical cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.004</link>
<description><![CDATA[Objective: To construct a noninvasive multiparametric MRI-based radiomics model to predict lymph node metastasis in cervical cancer. Materials and Methods: One hundred and seventy-eight cases of cervical cancer were analyzed retrospectively. While 9 clinical-pathological features were extracted, and 3 features were extracted into the model by analysis of variance (ANOVA). The volume of interest (VOI) was drawn by two observers respectively. Finally, 428 radiomics features of every tumor sample were extracted. Radiomics characteristics combined with various clinical-pathological characteristics were used to build the models of 428, 437 and 431 dimensions. The neural network model and support vector machine model are constructed and evaluated by torch and sklearn of Python library. Intraclass correlation coefficient (ICC) was used to evaluate inter observer reliability. Classification accuracy, sensitivity, specificity and area under the receiver operating characteristics curve (AUC) were used to measure the performance of the model. Youden index evaluated the performance of a dichotomous diagnostic test and the authenticity, by metrics.roc in sklearn_ROC curve. Results: The average ICC was 0.819, which was highly reliable of the radiomics features performed by the two radiologists. The average ICC was 0.796, which was highly reproducibility of the radiomics features performed by one radiologist. The AUC of 431 dimension neural network model in test was 0.882, and the accuracy, sensitivity and specificity were 0.810, 0.840 and 0.741 respectively, which are better than other models. Conlusions: The multiparametric MRI radiomics model based on neural network can be leveraged as a noninvasive diagnosis marker to predict LMN in cervical cancer.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of enhanced T2 star weighted angiography in the diagnosis of cervical cancer and the evaluation of radiotherapy effect]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.005</link>
<description><![CDATA[Objective: To analyze the characteristics of enhanced T2 star-weighted angiography (ESWAN) before and after radiotherapy for normal cervical myometrium and cervical cancer, and to explore the value of ESWAN in cervical cancer diagnosis and radiotherapy efficacy. Materials and Methods: Thirty-five patients with cervical cancer confirmed by pathology, thirty-two normal female volunteers of the same age, and fifteen patients with cervical cancer received radiotherapy. Routine pelvic MRI and ESWAN examinations were performed before and after cervical cancer treatment and in volunteers. ESWAN parameter values were measured between the lesion area and normal cervical myometrium, and before and after radiotherapy. The differences in ESWAN parameters between cervical cancer and normal cervical myometrium were compared and analyzed. Different parameters of ESWAN were evaluated the effect of radiotherapy. Results: The magnitude value, phase value, R2* value and T2* value of cervical cancer and normal cervical myometrium were (1237.25± 472.50) and (1638.72±406.70), (-0.053±0.072) and (0.025±0.201), (30.89±10.18) and (25.48±7.34), (36.19±10.25) and (40.38± 8.26). The magnitude value, phase value, R2* value and T2* value of 15 patients with cervical cancer before and after radiotherapy were (1198.28±210.58) and (817.33±131.11), (-0.144±0.191) and (-0.011±0.083), (36.01±10.78) and (26.86±8.58), (31.54±6.28) and (40.46±7.69). The magnitude value, phase value and T2* value of cervical cancer were lower than normal cervical myometrium, and the R2* value increased, and the difference was statistically significant (P＜0.05). After radiotherapy, the magnitude value and R2* value decreased, while the phase value and T2* value increased, and the difference was statistically significant (P＜0.05). Conclusion: The ESWAN parameters have certain value in the diagnosis of cervical cancer. At the same time, by analyzing the changes of different ESWAN parameter values before and after radiotherapy, the histological changes of cervical cancer after radiotherapy can be evaluated to a certain extent.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The study of multi-nuclide <sup>1</sup>H/<sup>19</sup>F-MR lung ventilation imaging based on atomized perfluorocarbon nanoprobe]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.006</link>
<description><![CDATA[Objective: To explore the feasibility of applying atomized perfluorocarbon nanoprobe (PFC NP) for multi-core 1H/19F magnetic resonance (1H/19F-MR) lung ventilation imaging. Materials and Methods: The BALB/c mice were divided into air group and atomized PFC NP group to perform multi-core 1H/19F-MR scanning to study the distribution of PFC NPs in the lungs. 1H/19F-MR scans were performed at 0 h, 1 h, 4 h, 8 h, 12 h, 24 h, and 48 h to study the metabolic time of the aerosolized PFC NPs in the lungs. To verify the deposition of aerosolized PFC NPs in lung tissues and their effects on major tissues and organs through pathological examinations. Results: The atomized PFC NPs can significantly enhance the 19F magnetic resonance (19F-MR) signal of bilateral lungs. And it was observed that the 19F signal enhancement in different lung fields is different. Among them, the 19F signal intensity difference between the upper and the lower lung fields, and between the middle and the lower lung fields is statistically significant (P＜0.01). By performing 1H/19F-MR imaging at each time point, it was found that the 19F signal began to attenuate at 8 h after the PFC NPs was delivered, significantly decreased at 24 h, and declined to the signal intensity of background at 48 h. Tissue sections confirmed the deposition of PFC NPs in lung tissue after delivery through the respiratory tract. H&E staining showed that no pathological damage was observed indifferent organs after the atomized PFC NP was delivered through the respiratory tract. Conclusions: Multi-core 1H/19F-MR lung ventilation imaging based on atomized PFC NP can present the pulmonary anatomy and its ventilation information under physiological conditions. It is promising in the field of respiratory system magnetic resonance imaging.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Combining machine learning with imaging omics characteristics based on DWI in predicting outcome after mechanical thrombectomy of acute stroke]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.007</link>
<description><![CDATA[Objective: To construct a prediction model of outcome after mechanical thrombectomy in acute stroke by machine learning based on imaging omics characteristics of diffusion weighted imaging (DWI). Materials and Methods: Acute stroke patients in our hospital were retrospectively collected. These patients were divided into a training set (n=252) and a test set (n=108) according to random number table method. The imaging omics characteristics were extracted from lesions on DWI using A.K. software, and Least absolute shrinkage and selection operator regression model was used to screen the characteristics, and then, the selected characteristics were used to construct the prediction model by support vector machine classifier. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of the model. Results: One thousand one hundred and thirty-six imaging omics characteristics of each patient were extracted from DWI, and 21 characteristics highly related to outcome after mechanical thrombectomy in acute stroke were screened after dimension reduction. ROC analysis showed that the area under curve (AUC) of DWI model in predicting outcome was 0.956 based on training set, the sensitivity and specificity were 0.965, 0.948 respectively, and the accuracy was 0.954; the AUC of DWI model in predicting outcome was 0.801 based on test set, the sensitivity and specificity were 0.818, 0.816 respectively, and the accuracy was 0.828. Conclusion: The imaging omics characteristics and machine learning model based on DWI before therapy can effectively predict outcome after mechanical thrombectomy in acute stroke.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Gd-EOB-DTPA-enhanced MRI for evaluation of hepatic reserve function: The value of hepatic signal intensity and histogram in hepatobiliary phase]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.008</link>
<description><![CDATA[Objective:                                       To explore the value of hepatic signal intensity and histogram in hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI in evaluating hepatic reserve function. Materials and Methods: A retrospective analysis of the clinical and imaging data of 87 patients has been conducted in our hospital from January 2014 to June 2019. The patients were classified into three groups according to abnormal liver function, including Child-Pugh grade A (58 cases), Child-Pugh grade B (15 cases) and Child-Pugh grade C (1 case). The patients with normal liver function (13 cases) were used as control group. One-way analysis of variance and pairwise comparison were done to analyze the difference among different liver function groups by using the relative enhancement at hepatobiliary phase (REHBP) and the histogram parameters at hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI. The receiver operating characteristic curve (ROC) was used to evaluate the diagnostic performance of REHBP and histogram parameters between two groups of Child-Pugh A and Child-Pugh B+C, and Spearman correlation analysis was used to analyze the correlation between REHBP, histogram parameters and indocyanine green retention rate at 15 min (ICG R15). Results: A significant difference of REHBP, skewness, minimum, 5th, 10th, 15th, 20th percentile and 0.025th percentile was found among the three groups (P values were ＜0.001, ＜0.001, 0.015, 0.026, 0.029, 0.034, 0.039, 0.025, P＜0.05). There was no significant difference of those parameters between the normal liver function group and Child-Pugh A group (P values are 0.610, 0.400, 0.410, 0.550, 0.610, 0.620, 0.660, 0.550, P＞0.05). Significant differences were found between the normal liver function group and Child-Pugh B+C group (P values were 0.017, ＜0.001, 0.013, 0.017, 0.027, 0.030, 0.033, 0.019, P＜0.05) as well as between Child-Pugh A group and Child-Pugh B+C group (P values were ＜0.001, ＜0.001, 0.013, 0.013, 0.012, 0.015, 0.015, 0.013, P＜0.05). The area under ROC curve (AUC) for REHBP, skewness, minimum, 5th, 10th, 15th, 20th percentile and 0.025th quantile were 0.778, 0.816, 0.713, 0.713, 0.715, 0.708, 0.709 and 0.713 respectively for discrimination between Child-Pugh A group and Child-Pugh B+C group. Among all patients, there was no significant correlation between REHBP, skewness and ICG R15 (P＞0.05). The minimum, 5th, 10th, 15th, 20th percentile and 0.025th quantile were negatively correlated with ICG R15 (r=-0.274 to -0.300, P＜0.05). In the group of ICG R15≥10%, REHBP, skewness, 5th, 10th percentile and 0.025th percentile were negatively correlated with ICG R15 (r=-0.390 to -0.594, P＜0.05), while in the group of ICG R15＜10%, no significant correlations were found between all parameters and ICG R15 (r=-0.027 to 0.153, P＞0.05). Conclusions: The REHBP and histogram parameters at hepatobiliary phase of Gd-EOB-DTPA enhanced MRI may assess the liver reserve function. Compared to REHBP, the histogram parameters have higher correlation with ICG R15.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Application value of intraoperative awakening combined with magnetic resonance neuronavigation system in brain tumor surgery in functional area]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.009</link>
<description><![CDATA[Objective: To investigate the value of intraoperative wakefulness combined with MR neuronavigation system in the operation of functional brain tumors. Materials and Methods: A total of 50 patients admitted to the department of neurosurgery of our hospital from July 2018 to July 2020 who received surgical treatment for brain tumors in functional areas were selected as the research subjects. They were divided into a control group (25 cases) and an observation group (25 cases) according to the random number table. The observation group was treated with intraoperative awakening combined with magnetic resonance neuronavigation, while the control group was only subjected to magnetic resonance neuronavigation before surgery. All the 50 patients underwent preoperative brain tissue image acquisition by MRI, especially through the diffusion tensor imaging (DTI) sequence and blood oxygenation level dependent functional MRI (BOLD-fMRI) sequence scanning to display the functional areas and reconstruct the corticospinal tract. Three-dimensional imaging models of intracranial structure, tumor structure and surrounding tissue structure were established by using the neuronavigation system. At the same time, patients in the observation group were resected after redefining the functional area by intraoperative wake-up technique. The operative time, tumor resection degree, neurological function (Karnofsky) score and incidence of postoperative complications in 2 groups were observed. Results: The operation time and postoperative hospital stay of patients in the observation group were significantly lower than those in the control group (t=-2.232, -5.788, P=0.030, P＜0.001). The tumor resection degree of patients in the observation group was significantly higher than that in the control group (Z=5.128, P=0.028); the KPS score of the observation group six months after surgery was significantly higher than that of the control group (t=4.861, P＜0.001), and the incidence of postoperative complications was significantly lower than that of the control group. The differences were statistically significant (χ2=5.094, P=0.024).Conclusion: Intraperitoneal arousal combined with magnetic resonance neuronavigation system can not only improve the maximum degree of tumor resection in the brain functional areas, but also protect the important nerve function in the brain functional areas, which can be popularized in clinical application.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on the identification of schizophrenia patients with abnormal amplitude of resting low frequency oscillation]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.010</link>
<description><![CDATA[Objective: To study the changes of brain function in patients with schizophrenia by using amplitude of low-frequency fluctuation (ALFF) index in resting-state functional magnetic resonance imaging (rs-fMRI). Materials and Methods: Seventy-two schizophrenic patients and 75 normal controls were enrolled to analyze the difference of ALFF between the two groups. The machine learning algorithm was conducted to select the altered ALFF that could effectively identify schizophrenia patients with healthy controls. Results: Patients with schizophrenia showed increased ALFF in the right fusiform gyrus, left inferior temporal gyrus and left medial superior frontal gyrus as well as decreased ALFF in left thalamus and right posterior central gyrus (GRF corrected, voxel P＜0.001, cluster P＜0.05). The altered ALFF in resting state could identify patients with schizophrenia. Conclusions: Patients with schizophrenia have abnormal spontaneous brain activity compared with normal controls, which may be the candidate neurobiological markers of patients with schizophrenia.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Image features of atypical teratoid/rhabdoid tumor of central nervous system in children]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.011</link>
<description><![CDATA[Objective: To investigate the imaging findings of central nervous system (CNS) atypical teratoid / rhabdoid tumor (AT/RT) in children and to improve the diagnostic level of AT/RT. Materials and Methods: The clinical and image data of 9 children with AT/RT were analyzed retrospectively. Results: The median age of patients was 19 months, 5 cases were infratentorial, 1 case was supratentorial, 3 cases involved both supratentorial and infratentorial. The maximum diameter of the tumor was 49.9±18.3 mm, 7 cases with peripheral tumor cysts and 6 cases with intratumoral hemorrhage,3 cases with brain metastasis,1 with both brain and spinal cord metastasis. The solid components of the tumor were mainly iso-or high-density on CT, MRI showed mixed intensity on T2WI and high intensity on DWI with low ADC value, the tumor showed various enhancement modes. Conclusion: CNS AT/RT of children have some relatively specific imaging findings, which is helpful for diagnosis.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of texture analysis combined with TIC in the differential diagnosis of breast invasive ductal carcinoma and fibroadenoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.012</link>
<description><![CDATA[Objective: To study the value of texture analysis combined with time-intensity curve (TIC) in the differential diagnosis of breast invasive ductal carcinoma and fibroadenoma. Materials and Methods: The MRI images of 75 female patients (48 cases of breast invasive ductal carcinoma and 27 cases of breast fibroadenoma) confirmed by pathology were collected by retrospective method. The TIC were drawn and the five analysis methods of histogram, absolute gradient, run matrix, co-occurrence matrix and autoregressive model in texture analysis software were used to extract texture features of breast lesions on enhanced image, and obtain 306 texture feature parameters; using three statistical methods: Fisher coefficient (Fisher), classification error probability and average correlation coefficients (POE+ACC) and mutual information coefficient (MI), 10 optimal texture parameters were selected to distinguish breast invasive ductal carcinoma and fibroadenoma. The principal component analysis (PCA), linear discriminant analysis (LDA) and non-linear discriminant analysis (NDA) of B11 program were used to reduce the dimension and classify the 10 optimal texture parameters, and the minimum error rate of lesions under the optimal texture parameters was calculated. The sensitivity, specificity and accuracy of TIC method, texture analysis method and the combination of the two methods were analyzed. Results: Fisher+NDA or POE+ ACC+NDA combination had the lowest misjudgment rate (4%), and the 10 best texture parameters for modeling were: Fisher+NDA were GeoW1, S (5, -5) Entropy, S (5, 5) Correlat, S (4, -4) Entropy, S (5, 0) Entropy, S (5, 5) Entropy, eta2, S (4, 0) Entropy, Teta3, S (3, -3) Entropy; Poe+ACC+NDA were GeoYo, Vertl_Fraction, GeoW5b, GeoW4, S (5, 5) CorrelatTeta1, Vertl_ShrtREmp, GeoNx, GeoAox, GeoX. The sensitivity of TIC, texture analysis and the combination of the two methods were 87.5%, 93.8%, 97.9%; the specificity were 29.6%, 11.1%, 14.8%; the accuracy were 66.7%, 64.0%, 68.0%. Conclusion: On the basis of routine MRI examination and enhancement, the sensitivity and accuracy of breast invasive ductal carcinoma and breast fibroadenoma can be improved by using TIC and MRI texture parameter analysis, which has certain value in the differential diagnosis of breast fibroadenoma and invasive ductal carcinoma.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of Gd-EOB-DTPA-enhanced MRI nomogram model in predicting microvascular invasion of small solitary hepatocellular carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.013</link>
<description><![CDATA[Objective: To explore the value of the nomogram based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI of the microvascular invasion (MVI) in small solitary hepatocellular carcinoma (≤3 cm). Materials and Methods: In this study, we retrospectively analyzed 149 patients with small solitary hepatocellular carcinoma (≤3 cm) who underwent preoperative Gd-EOB-DTPA-enhanced MRI between January 2017 and June 2020. All patients were grouped into MVI-negative and MVI-positive cases according to the histopathological diagnosis. Then, preoperative clinical, Gd-EOB-DTPA-enhanced MRI and pathological data were collected. Univariate and multivariate Logistic regression analyses were used to analyze the relevant risk factors for MVI, and then a nomogram incorporated preoperative data was developed by multivariate Logistic regression. Finally, the prediction efficiency of the model is evaluated. Results: Analysis of the MVI-positive group (45 cases) and the MVI-negative group (104 cases) showed peritumoral hypointensity on HBP (OR=5.951, 95% CI: 2.303—15.372, P＜0.001), peritumor enhancement (OR= 3.834, 95% CI: 1.301—11.299, P=0.015), peritumoral pseudocapsule incomplete (OR=9.721, 95% CI: 2.486—38.019, P=0.001), the lower ADC values (＜0.990×10-3 mm2/s) were independent predictors of MVI of small solitary hepatocellular carcinoma. The area under the ROC curve was 0.844. A nomogram showed that peritumoral hypointensity on HBP was the largest contributing factor (100 points) in predicting MVI of small solitary hepatocellular carcinoma, and the others were peritumor enhancement, peritumoral pseudocapsule incomplete and lower ADC values. The C-index of the nomogram was 0.844, and the model was highly predictive of MVI. Conclusions: A nomogram of Gd-EOB-DTPA-enhanced MRI can effectively predict microvascular invasion of solitary small hepatocellular carcinoma.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of diffusional kurtosis imaging in differentiating uterine sarcoma from degenerative hysteromyoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.014</link>
<description><![CDATA[Objective: To compare the value of MR diffusion-kurtosis imaging (DKI) with several parameters in differentiating uterine sarcoma (US) and degenerative hysteromyoma (DH) for providing a valuable method for the differential diagnosis of the two parenchyma tumors of uterus. Materials and Methods: The data of 39 patients with 13 cases of US and 26 cases of DH were enrolled in this study and inspected conventional MR (T1WI, T2WI) and DKI-MR examination with 1.5 T MR imager. DKI parameters (MK, Ka, Kr, FAK, MD, Da, Dr and FA) of USs and DHs were measured by using the FuncTool on GE AW4.6 workstation. The MR images were blindly reviewed and analyzed by two observers. The consistency of each parameter measured by the two observers was analyzed, and compared value of parameters. The effectiveness of each parameter value in identifying the two groups were assessed using the receiver operating characteristic (ROC) curve. Results: Except for the parameters of Kr and FAK of the US group were in moderate consistency (0.40≤ICC≤0.75), other parameters measured by the 2 observers were showed a good consistency (ICC＞0.75). MK, Ka, Kr, FA, FAK, MD, Da and Dr of US group were 0.86±0.13, 0.92±0.17, 0.78±0.13, 0.20±0.08, 0.30±0.13, (1.18±0.26) μm2/ms, (1.41±0.32) μm2/ms,(1.06±0.25) μm2/ms, respectively. The parameters of the DH group were 0.66±0.09, 0.61±0.08, 0.65±0.09, 0.26±0.08, 0.29±0.09, 1.71 (1.54, 1.89) μm2/ms, 2.17 (2.04, 2.38) μm2/ms, (1.53±0.34) μm2/ms. The MK, Ka and Kr values of US group were higher than those of the DH group, and the FA, MD, Da and Dr values were lower than those of the DH group, with statistically significant differences (P＜0.05). There was no statistical difference in FAK value (P＞0.05). The AUC values of MK, Ka, Kr, FA, MD, Da and Dr were 0.93, 0.99,0.80, 0.73, 0.94, 0.97 and 0.90. The diagnostic threshold of the parameters were as follows: MK≥0.80, Ka≥0.73, Kr≥0.75, FA≥0.22, MD≤1.47, Da≤1.95, Dr≤1.23. The sensitivity was 76.9%, 100.0%, 61.5%, 76.9%, 92.3%, 100.0%, 76.9%, and the specificity was 100.0%, 96.2%, 88.5%, 73.1%, 92.3%, 84.6%, 88.5%, respectively. Conclusions: The MK, Ka, MD, Da and Dr of DKI figure can effectively identify US and DH, and needing to be extension.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress on the value of magnetic resonance imaging technique in evaluating the efficacy of repetitive transcranial magnetic stimulation in patients with obsessive-compulsive disorder]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.021</link>
<description><![CDATA[At present, the common treatment for obsessive-compulsive disorder (OCD) includes drug therapy, psychological therapy and surgical treatment, but the effect is not good, and some patients still have OCD symptoms after treatment. As a new non-invasive treatment, repetitive transcranial magnetic stimulation (rTMS) can improve the symptoms of OCD patients by changing the frequency of pulse and using electromagnetic field to regulate the activity of cerebral cortex. But the choice of stimulation target and parameter setting need to be further discussed. This article reviews the research progress of rTMS in the treatment of OCD, to summarize the clinical efficacy of stimulation of different targets and the value of magnetic resonance imagin technique in evaluating the efficacy of rTMS for OCD.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Application of machine learning in the diagnosis of brain dysfunction by magnetic resonance imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.022</link>
<description><![CDATA[The combination of MRI and machine learning (ML) algorithm to establish a diagnostic model has been widely used in the research and clinical diagnosis of brain dysfunction. In this paper, five ML algorithms commonly used in MRI images of brain diseases are summarized and discussed, including linear regression model, K-nearest neighbor, support vector machine, random forest and deep learning. The main content includes their theories, current applications, application scopes and limitations. Future research should focus on the data mining of brain image features, the establishment of standardized databases, the integration of multimodal MRI data and the integration of ML algorithms.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of resting-state brain functional network in T2DM patients with cognitive impairment]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.023</link>
<description><![CDATA[Diabetes mellitus is a metabolic disease with chronic increase in blood glucose and a risk factor for cognitive impairment. The risk of cognitive impairment in patients with type 2 diabetes mellitus (T2DM) is much higher than that in normal subjects, and its pathogenesis and influencing factors are still unclear. At present, a variety of functional magnetic resonance techniques have been widely used in the study of brain neuroscience, especially the resting-state funcyional magnetic resonance imaging (rs-fMRI), which has the advantages of non-ionizing radiation and high spatial resolution of images. This article reviews the research results and progress of resting state magnetic resonance imaging in T2DM with cognitive impairment, and introducing some data research methods and means related to rs-fMRI.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Progress of cardiovascular magnetic resonance diffusion tensor imaging and diffusion spectrum magnetic resonance imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.024</link>
<description><![CDATA[With multiple imaging techniques and sequences, cardiac magnetic resonance (CMR) is not only accurate in the assessment of cardiac structure and function but also superior in noninvasive myocardial tissue characterization and even evaluation of energy metabolism. Diffusion imaging techniques including diffusion weighted imaging (DWI), diffusion tensor imaging (DTI) and diffusion spectrum magnetic resonance imaging (DSI) have always been the most challenging and not been developed routinely yet, especially DTI and DSI. This review will focus on the imaging techniques of DTI and DSI and the recent progress of applications in the cardiovascular field.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Evaluation of right ventricular strains by cardiac magnetic resonance feature tracking]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.025</link>
<description><![CDATA[Accurate evaluation of right ventricular function plays an important role in the diagnosis, grading and prognosis evaluation various cardiopulmonary diseases. Cardiac magnetic resonance feature tracking (CMR-FT) has gradually developed into a method which is superior to ejection fraction and can quantitatively analyze the changes of global and regional myocardial motor function.This paper makes a comprehensive summary and analysis of the application of cardiac magnetic resonance feature tracking technique in right ventricular strains assessment and prognosis.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Imaging manifestations and research progress of sclerosing adenosis of breast]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.026</link>
<description><![CDATA[Sclerosing adenosis of the breast is a common benign proliferative disease in women. The imaging findings are similar to malignant lesions and the diagnosis is difficult, which often leads to unnecessary over treatment. This article mainly reviews the performance and application of mammography, ultrasound and magnetic resonance imaging technologies in breast sclerosing adenosis, aiming to improve the radiologists understanding of this disease.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of radiomics in evaluation of curative effect of pancreatic cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.027</link>
<description><![CDATA[At present, the treatment methods for pancreatic cancer are developing rapidly, but accurate evaluation of the therapeutic effect of pancreatic cancer has become one of the difficulties in clinical diagnosis and treatment. Radiomics can extract high-throughput feature information contained in medical images, which can not only quantitatively analyze the heterogeneity of tumor noninvasively, but also reflect the therapeutic effect of patients by analyzing the changes of tumor microenvironment Information. This article reviews the application progress of radiomics in evaluating the efficacy of surgery, radiotherapy, chemotherapy and neoadjuvant therapy for pancreatic cancer.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of MRI in differentiating Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.028</link>
<description><![CDATA[The treatment and prognosis of hepatocellular carcinoma and cholangiocarcinoma are very different, so it is of vital significance to accurately distinguish these two tumors before treatment. New MRI techniques such as diffusion-weighted imaging, radiomics, PET-MEI and magnetic resonance elastography can evaluate the tumors more comprehensively than traditional MRI and improve the accuracy. In this article, we reviewed the progress of MRI in distinguishing hepatocellular carcinoma and intrahepatic cholangiocarcinoma.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Progress of Gd-EOB-DTPA in the diagnosis and evaluation of CRLM]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.029</link>
<description><![CDATA[Gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) plays an important role in the diagnosis of colorectal liver metastasis (CRLM). It is highly accurate in the diagnosis of early CRLM and CRLM after chemotherapy, and provides a significant reference for the adjustment of CRLM treatment plan and the evaluation of curative effect after treatment. This paper describes the application progress of Gd-EOB-DTPA enhanced MRI in CRLM diagnosis and treatment.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[The advance of magnetic resonance imaging in early acute intestinal ischemia]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.030</link>
<description><![CDATA[acute intestinal ischemia is a disease in which ischemia and hypoxia in the intestinal wall eventually result in infarction. Since the early onset symptoms are not obvious and non-specific, the mortality rate of this disease has been maintained at 50%-70%. It is very important for the survival of patients to determine the severity of ischemia in early stage and give treatment. With the continuous development of imaging technology, computer tomography (CT), ultrasound and digital subtraction angiography (DSA) have played an important role in the diagnosis of intestinal ischemia. In recent years, magnetic resonance imaging has developed rapidly. With the application of various new techniques and high resolution imaging, magnetic resonance examination is of great significance in displaying the ischemic intestinal wall and quantitatively evaluating the severity of ischemia. This article mainly reviews the progress of diffusion weighted imaging, contrast-enhanced imaging, molecular imaging, quantitative blood flow imaging and quantitative blood oxygen imaging in the evaluation of acute intestinal ischemia.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of amidine proton transfer imaging in genitourinary system disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.031</link>
<description><![CDATA[Amide proton transfer (APT) imaging is a new magnetic resonance molecular imaging technique. It is a branch of chemical exchange saturation transfer imaging, which reflects the changes of intracellular protein concentration and pH value by detecting the proton-water exchange rate of amide protons in tissues. In this paper, the applications of APT imaging in genitourinary diseases are reviewed.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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<title><![CDATA[MR diffusion weighted imaging:Application in soft tissue tumors]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.10.032</link>
<description><![CDATA[Magnetic resonance (MR) diffusion weighted imaging is a functional imaging technique that can reflect the diffusion characteristics of water molecules and detect microstructural changes in tissues, including monoexponential diffusion weighted imaging (DWI), intravoxel incoherent motion (IVIM) model, diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI), and has been used in the clinical evaluation of soft tissue tumors (STTs). This article introduces the four techniques briefly and reviews their application in the differential diagnosis, histological grading prediction, infiltration assessment, postoperative recurrence monitoring and radiotherapy efficacy evaluation or prediction of STSs.]]></description>
<pubDate>Wed,20 Oct 2021 00:00:00  GMT</pubDate>
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