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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=202306</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[Expert consensus on the clinical application of large bore MRI in fetal disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.001</link>
<description><![CDATA[MRI is an advanced technique for noninvasive functional assessment of the fetus, and has resulted in a relatively well-established clinical examination protocol that can provide anatomical and functional information of normal fetus and disease. At present, high-performance large pore MRI is a new trend in the development of clinical MR, which is able to provide "first-class" unprecedented spacious space and comfortable experience for the tested subjects and benefit special populations such as pregnant women, thus it has good research potential and clinical application prospects. This review regulates the selection, safety, applicability, scanning protocol and diagnostic report writing, and imaging quality control of fetal macropore MRI, aiming to unify the promotion of macropore MRI technology and promote its optimization, validation, and summary. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Interhemispheric structural connectivity abnormalities in Alzheimer<sup><sup>,</sup></sup>s disease and mild cognitive impairment: A DTI-based study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.002</link>
<description><![CDATA[<b>Objective</b>To explore the structural connectivity changes through the corpus callosum in the interhemispheric homologous brain regions of Alzheimer<sup><sup>,</sup></sup>s disease (AD) and mild cognitive impairment (MCI) and the relation with clinical cognitive function and activities of daily living. <b>Materials and Methods</b>MR diffusion tensor imaging data of 23 AD patients (AD group), 47 MCI patients (MCI group) and 37 healthy controls (HC group) were collected. Using the high-resolution transcallosal tract template, the fractional anisotropy (FA) and mean diffusivity (MD) of 32 transcallosal tracts connecting the interhemispheric homologous brain areas (including prefrontal lobe, sensory motor area, parietal lobe, temporal lobe and occipital lobe) among the three groups were calculated and compared. In the AD and MCI groups, water diffusion index values (FA and MD) of transcallosal tracts to the different homologous brain regions were further correlated with the basic scale of Montreal Cognitive Assessment (MoCA_B) and the scale of Activities of Daily Living Scale (ADL). <b>Results</b>Compared with HC, the mean MD values of all transcallosal nerve fiber bundles in the AD group had significantly increased (<i>P</i>＜0.05, FDR correction), and most transcallosal nerve fiber tracts of AD group (excluding the tracts to the orbital frontal, inferior frontal orbital, and ventral premotor areas) had significantly lower FA values (<i>P</i>＜0.05, FDR correction); The mean FA values and MD values of all transcallosal nerve fiber tracts to the interhemispheric homologous brain areas in the MCI group were not significantly different from the HC group. The mean FA values and MD values of some transcallosal tracts (excluding the tracts to the prefrontal and sensorimotor areas) in the AD group were significant different from the MCI group (<i>P</i>＜0.05, FDR correction). The mean FA values and MD values of all transcallosal nerve fiber bundles were not significantly correlated with the MoCA_B scores, but the mean FA values and MD values of multiple fiber bundles (including tracts to the dorsolateral prefrontal lobe, sensorimotor area, parietal lobe, occipital lobe and temporal lobe) were significantly correlated with the ADL scores (<i>P</i>＜0.05, FDR correction). <b>Conclusions</b>This study suggests that AD had more severe and extensive damage in the interhemispheric structural connectivity than MCI, and in AD, the degeneration of interhemispheric structural connectivity in the callosal fibers is more associated with a decline in activities of daily living. The severity of the transcallosal nerve fiber bundles damage may be used as an important reference index to assess the ability of live activities in AD. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[MVPA method study for distinguishing the cognitive level of healthy elderly people based on resting-state fMRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.003</link>
<description><![CDATA[<b>Objective</b>To construct brain network based on resting-state functional magnetic resonance imaging (fMRI) data and establish multivariate pattern analysis (MVPA) to effectively distinguish the cognitive level of healthy elderly people. <b>Materials and Methods</b>Using a publicly available dataset of 55 healthy elderly individuals with excellent cognitive abilities (cognitive excellent group) and 43 individuals with poor cognitive abilities (cognitive poor group), based on the resting-state fMRI data of all participants, an MVPA method was established to distinguish the cognitive level of healthy elderly people. Among them, Gaussian Copula mutual information (GCMI) was used for brain network construction and feature selection, and support vector machine (SVM) was used to complete classification. Then the existing MVPA method was used to distinguish the cognitive level of healthy elderly people as a comparison. Finally, the differences of consistency functional connection between the groups were analyzed through independent-samples <inline-formula><alternatives><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mi>t</mml:mi></mml:math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3BDB4A6D-D274-462e-98CB-A1C8736535FF-M002.png"><?fx-imagestate width="0.93133330" height="2.28600001"?></graphic><graphic specific-use="small" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3BDB4A6D-D274-462e-98CB-A1C8736535FF-M002c.png"><?fx-imagestate width="0.93133330" height="2.28600001"?></graphic></alternatives></inline-formula>-test. <b>Results</b>The MVPA method established in this article effectively distinguishes the cognitive level of healthy elderly people, with a classification accuracy of 77.22%, the sensitivity, specificity and AUC were 81.82%, 72.09% and 0.77 respectively. In addition, the consistency functional connection strength of the cognitive poor group was significantly reduced compared to the cognitive excellent group, and the differences between groups were generally statistically significant (<inline-formula><alternatives><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mi>P</mml:mi></mml:math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3BDB4A6D-D274-462e-98CB-A1C8736535FF-M003.png"><?fx-imagestate width="1.94733346" height="2.28600001"?></graphic><graphic specific-use="small" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3BDB4A6D-D274-462e-98CB-A1C8736535FF-M003c.png"><?fx-imagestate width="1.94733346" height="2.28600001"?></graphic></alternatives></inline-formula>＜<inline-formula><alternatives><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mn mathvariant="normal">0.05</mml:mn></mml:math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3BDB4A6D-D274-462e-98CB-A1C8736535FF-M004.png"><?fx-imagestate width="5.58799982" height="2.28600001"?></graphic><graphic specific-use="small" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3BDB4A6D-D274-462e-98CB-A1C8736535FF-M004c.png"><?fx-imagestate width="5.58799982" height="2.28600001"?></graphic></alternatives></inline-formula>). <b>Conclusions</b>Using GCMI, which is sensitive to nonlinear, to construct brain networks and filter features, combined with SVM can effectively distinguish cognitive level of healthy elderly people. Through the analysis of consistency functional connection, we found that the weakening of its strength may lead to the reduction of cognitive level. The consistency functional connection differences with statistically significant has important value in assisting clinical diagnosis. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Bibliometric analysis in neuroimaging of epilepsy research]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.004</link>
<description><![CDATA[<b>Objective</b>To understand the trends and hotspots in the field of neuroimaging on epilepsy by bibliometric analysis. <b>Materials and Methods</b>Web of Science (WOS) Core Databases were used to search the literatures in neuroimaging of epilepsy between 1900 and 2021. The top 50 articles with highest yearly citation counts were regarded as most highly cited articles. Collaboration analyses in keywords were carried out in neuroimaging on epilepsy between 2012 to 2021. <b>Results</b>The number of yearly citations of the 50 most cited articles in the field of neuroimaging on epilepsy ranged from 47.33 to 11.67. These top cited articles were published between 1900 and 2021. The most productive year was 2010 (8 articles). The top journals was Brain. The top cited articles were from ten countries. The top country was America. For different study purpose, these studies were divided into three aspects: mechanism studies, prognosis studies and diagnosis studies. Temporal lobe epilepsy (TLE) was the most common type. Most studies use single modality. Case control study design was easily found. The hot topics in neuroimaging of epilepsy was the application of MRI in TLE and childhood epilepsy. <b>Conclusions</b>Study using MRI with multi-modality involving mechanism, diagnosis and prognosis of TLE and childhood epilepsy may be the future research hotspot in the field of neuroimaging on epilepsy. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[MR imaging evaluation of heavy-ion therapy for hepatocellular carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.005</link>
<description><![CDATA[<b>Objective</b>To explore the value of MRI in the efficacy evaluation of heavy-ion radiotherapy (HIT) for hepatocellular carcinoma (HCC). <b>Materials and Methods</b>A retrospective analysis of 25 cases of HCC examed by MRI, compare the axial area, volume and maximum diameter, apparent diffusion coefficient (ADC), T1WI signal enhancement rate ratio (SER) of the HCC before treatment with the data which after 3-6 months treatment. To evaluate the correlation between the imaging changes and the alpha-fetal protein (AFP) changes. Wilcoxon rank-sum test was used to compare changes in AFP, morphological parameters (maximum length, area and volume) and MRI parameters (ADC and SER); Spearman correlation was used to analyze the correlation between the SER of arterial phase (A phase), hepatic portal venous phase (H phase) and venous phase (V phase) and tumor morphology, ADC and tumor marker AFP. <b>Results</b>The results showed that after HIT, HCC morphology, AFP decreased, and ADC value was significantly increased (<i>P</i>＜0.05). Correlation analysis showed that SER of A phase was slightly positively correlated with tumor morphology, and the correlation coefficient with the maximum length and volume of tumor was <i>r</i>=0.29 and <i>r</i>=0.27 (<i>P</i>＜0.05), respectively, SER of H phase was also slightly positively correlated with tumor morphology, and the correlation coefficients with area and volume were <i>r</i>=0.28 and <i>r</i>=0.31, respectively (<i>P</i>＜0.05), ADC value was negatively correlated with AFP value of tumor marker, and the correlation coefficient was <i>r</i>=-0.40 (<i>P</i>＜0.05). The correlation between AFP and tumor size and SER showed that AFP was positively correlated with tumor diameter and volume, <i>r</i>=0.69 and 0.64, respectively (<i>P</i>＜0.05). At the same time, AFP was positively correlated with the enhancement rate of A phase, <i>r</i>=0.59 (<i>P</i>＜0.05), but not with the enhancement rate of H phase and phase V (<i>P</i>＞0.05). <b>Conclusions</b>HCC changes significantly before and after HIT, and has a good correlation with AFP, with the decrease of AFP, HCC tumor size and SER are decreased which compared with before treatment, while the ADC value is higher than before treatment. MRI can evaluate the efficacy of HIT in HCC effectively. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Brain regional homogeneity alterations in multi-frequency bands in primary dysmenorrhea: A resting-state functional magnetic resonance imaging study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.006</link>
<description><![CDATA[<b>Objective</b>To investigate whether the spontaneous regional neural activity abnormalities in patients with primary dysmenorrhea (PDM) are associated with specific frequency bands using a multifrequency bands regional homogeneity (ReHo) method and to explore whether the alteration of ReHo values is associated with clinical measures. <b>Materials and Methods</b>Thirty-two PDM patients and thirty-six healthy controls (HC) were enrolled in this study and underwent resting-state functional magnetic resonance imaging. The ReHo analyses in conventional frequency band (0.010-0.080 Hz), slow-4 (0.027-0.073 Hz) band and slow-5 (0.010-0.027 Hz) band were conducted. Two-sample <i>t</i> test was used to compare the ReHo values between the two groups, and Pearson correlation analysis was used to explore the relationship between the ReHo values of PDM patients and clinical measures. <b>Results</b>Compared with HC (FEW corrected, voxel <i>P</i>＜0.001, cluster <i>P</i>＜0.05, two tailed), PDM patients showed increased ReHo values in the right parahippocampus gyrus, temporal pole superior temporal gyrus, basal nucleus and anterior cingutate, and decreased ReHo values in the left middle temporal gyrus, inferior temporal gyrus and insula both in conventional frequency band and slow-4 band, while PDM patients showed increased ReHo values in the right middle frontal gyrus and decreased ReHo values in the left cerebellum 8 region compared with HC in slow-5 band. Correlation analysis showed that COX1 was positively correlated with ReHo values in the left middle temporal gyrus in conventional frequency band in PDM patients. <b>Conclusions</b>The present study revealed frequency-specific ReHo alterations in PDM, among which, the changes in activity in brain regions associated with pain afference, emotion and memory found in the conventional band were roughly consistent with slow-4 band, while slow-5 band may provide additional findings, providing new insights into the neurobiological mechanisms of PDM. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of radiomics stacking ensemble learning model based on T2WI and CE-T1WI in predicting the efficacy of HIFU ablation of uterine fibroid]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.007</link>
<description><![CDATA[<b>Objective</b>To explore the value of the radiomics ensemble stacking model based on the combined sequences of T2WI and contrast enhancement T1WI (CE-T1WI) in predicting the efficacy of high intensity focused ultrasound (HIFU) ablation of uterine fibroids before surgery. <b>Materials and Methods</b>A total of 300 patients with uterine fibroids diagnosed clinically and treated with HIFU were retrospectively analyzed. Two physicians grouped patients into a full ablation group (nonperfusion volume ratio≥80%) and an incomplete ablation group (nonperfusion volume ratio＜80%), and used Kappa test to analyze the consistency of their grouping results. Then, all patients were randomly divided into a training set (<i>n</i>=240) and a test set (<i>n</i>=60) in the ratio of 8:2. ITK-SNAP software was used to delineate the region of interest of uterine fibroids on T2WI and CE-T1WI and extract the radiomics features. Two-sample t test and the least absolute shrinkage and selection operator were used for feature screening, and the retained features of the two sequences were used for subsequent model construction. The support vector machine, random forest, extreme gradient boosting and light gradient boosting machine were used as the basic learner to constructed base models (A, B, C, D) respectively, and the ensemble stacking model was constructed by Logistic regression as the meta-learner, and five-fold cross validation was conducted. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model. maging data of the patients were analyzed by independent sample <i>t</i>-test or Wilcoxon rank sum test (including myoma volume, myoma type, T2WI signal strength, T2WI signal uniformity, CE-T1WI signal strength, CE-T1WI signal uniformity). <b>Results</b>There were 172 patients in the full ablation group and 128 patients in the incomplete ablation group, and the Kappa value was 0.939 (<i>P</i>＜0.001) after performing the Kappa test on the results of the patient grouping of the two physicians. After feature screening, 14 and 5 features were retained on T2WI and CE-T1WI, respectively. The average AUC of five-fold cross-validation of the four base models A, B, C and D on the test set were 0.832, 0.863, 0.861 and 0.880, respectively. The average AUC value of the ensemble stacking model constructed using 5 algorithms has been increased to 0.924. Statistical analysis demonstrated that there were statistically significant differences in fibroid volume, fibroid type, T2WI signal homogeneity and CE-T1WI signal intensity in the training set (<i>P</i>＜0.05), and statistically significant differences in fibroid type in the test set (<i>P</i>＜0.05). <b>Conclusions</b>The radiomics ensemble stacking model based on the combined sequences of T2WI and CE-T1WI can effectively predict the efficacy of HIFU ablation of uterine fibroids before surgery. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[MRI features of sacroiliac joint bone marrow fat-saturated T2WI high signal in osteitis condensans ilii]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.008</link>
<description><![CDATA[<b>Objective</b>To explore the features and rules of sacroiliac joint bone marrow fat-saturated T2WI (T2WI-FS) high signal in osteitis condensans ilii (OCI) and axial spondyloarthritis (ax-SpA). <b>Materials and Methods</b>Twenty-three female patients diagnosed with OCI and thirty-four female patients diagnosed with ax-SpA between January 2017 and December 2021 were retrospectively enrolled. The incidence and imaging features of sacroiliac joint bone marrow T2WI-FS high signal were assessed, with a particular focus on the characteristics such as location, range, shape, and signal intensity. <b>Results</b>Compared with the ax-SpA group, the overall incidence of high T2WI-FS signal in the sacroiliac joint was lower in the OCI group [56.5% (13/23) vs. 85.3% (29/34); <i>χ</i><sup>2</sup>=5.857, <i>P</i>=0.016]. The incidence of high T2WI-FS signal in the bilateral sacroiliac joint was also lower [26.1% (6/23) vs. 55.9% (19/34); <i>χ</i><sup>2</sup>=4.946,<i> P</i>=0.026]. However, there was no significant difference in the incidence of high T2WI-FS signal in unilateral sacroiliac joint [30.4% (7/23) vs. 29.4% (10/34); <i>χ</i><sup>2</sup>=0.007, <i>P</i>=0.934]. There were no significant differences between the OCI group and the ax-SpA group in terms of the side, upper/lower part, quadrant and medial margin of high signal distribution in the sacroiliac joint (<i>P</i>＞0.05). In terms of morphology, the OCI group mainly exhibited a ribbon-like shape, while the ax-SpA group mainly showed a flaky morphology, and the difference was statistically significant (<i>P</i>＜0.001). The high signal range and signal intensity of sacroiliac joint T2WI-FS were also statistically significant between the OCI group and the ax-SpA group (<i>P</i>＜0.001). However, there were no significant differences in the high signal range and intensity of T2WI-FS between the sacral and iliac sides, superior and inferior parts, and among quadrants in the OCI group (<i>P</i>＞0.05). <b>Conclusions</b>Sacroiliac joint bone marrow T2WI-FS high signal can be seen in OCI, which is usually presented as a small ribbon adjacent to the sclerotic margin with slightly high signal, and contributes to the differential diagnosis of bone marrow edema associated with ax-SpA. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[MRS combined with subtraction technique in the prediction of high grade glioma radiomics grading]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.009</link>
<description><![CDATA[<b>Objective</b>Magnetic resonance spectroscopy (MRS) and subtraction techniques were introduced in the conventional imaging omics analysis to identify high-grade glioma grade. <b>Materials and Methods</b>The imaging data of 60 patients with pathologically confirmed high-grade glioma (25 patients with grade Ⅲ and 35 patients with grade Ⅳ) were retrospectively collected, and radiomic features such as shape and texture features were extracted based on contrast-enhanced T1-weighted imaging (CE-T1WI) images and subtracted images, and feature screening was performed using <i>t</i>-test and least absolute shrinkage and selection operator cross-validation, combined with the peak ratios of three metabolites of MRS, and a random forest algorithm was used to construct a high-grade glioma grading discrimination model and evaluate the model performance. <b>Results</b>The area under the curve (AUC) of the model constructed based on CE-T1WI images was 0.78 in the test set; the AUC of the model constructed based on subtracted images was 0.81 in the test set; the AUC of the model constructed based on metabolite peak ratios from MRS was 0.80 in the test set; and the AUC of the model constructed based on CE-T1WI images and three metabolite peak ratios from MRS was 0.95 in the test set. <b>Conclusions</b>Radiomics based on CE-T1WI images, subtraction images and MRS have good performance in identifying both grade Ⅲ and grade Ⅳ gliomas, with the subtraction model performing best in the single sequence model and the CE-T1WI combined with MRS model performing best in the combined sequence model. Multimodal radiomic analysis can provide a useful clinical aid for identifying grade Ⅲ and Ⅳ gliomas. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[The visualization of trigeminal nerve and its adjacent vessels using ultra-high field 7 T MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.010</link>
<description><![CDATA[<b>Objective</b>To explore the visualization of trigeminal nerve and its adjacent vessels using 7 T MRI three dimensional sequences. <b>Materials and Methods</b>Prospective collection of 24 patients (48 trigeminal nerves in all) from May 2022 to January 2023, who underwent 7 T ultra-high-field cranial MRI. All patients were scanned with three dimensional time of flight magnetic resonance angiography (3D TOF MRA) sequence , three dimensional T1-weighted magnetization prepared 2 rapid gradient echo (3D T1-MP2RAGE) sequence and three dimensional T1-weighted magnetization prepared rapid gradient echo (3D T1-MPRAGE) sequence. The original image data was assigned a score independently by two radiologists. The relationship of trigeminal nerve and its adjacent vessels with 3D T1-MPRAGE images and images acquired at the second inversion time of 3D T1-MP2RAGE (3D T1-MP2RAGE GRE<sub>TI2</sub>) were analyzed. Signal to noise ratio (SNR) of 3D T1-MPRAGE images and 3D T1-MP2RAGE GRE<sub>TI2 </sub>images were compared. Kappa-test was used to compare the consistency of the scores. <i>χ</i><sup>2</sup> test was used to compare the relationship results of trigeminal nerve and its adjacent vessels between 3D T1-MPRAGE images and 3D T1-MP2RAGE GRE<sub>TI2 </sub>images. A Paired <i>t</i>-test was used to compare SNR between 3D T1-MPRAGE images and 3D T1-MP2RAGE GRE<sub>TI2 </sub>images. <b>Results</b>The Kappa values of the three groups of images were 0.846, 1.000 and 0.846, with good consistency. There was no difference between the two groups of sequences in displaying the relationship of trigeminal nerve and its adjacent vessels (<i>χ</i><sup>2</sup>=0.174, <i>P</i>＞0.05). SNR of 3D T1-MP2RAGE GRE<sub>TI2</sub> sequence was higher than that of 3D T1-MPRAGE, (62.12±33.94) and (35.52±15.32) respectively. The difference was statistically significant (<i>P</i>＜0.001). <b>Conclusions</b>In 7 T ultra-high-field magnetic resonance brain imaging, 3D T1-MP2RAGE GRE<sub>TI2</sub> images are better than 3D T1-MPRAGE images in displaying trigeminal nerve and its adjacent vessels, which have better SNR, and the adjacent vessels are easy to be observed for their bright signals. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[The Value of compressed sensing 3D MRI sagittal T2 weighted imaging-spectral attenuated in-version recovery to display the anterior talofibular ligament]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.011</link>
<description><![CDATA[<b>Objective</b>To investigate the feasibility of using compressed sensing (CS) technology for three-dimensional MRI T2 weighted imaging-spectral attenuated in-version recovery (T2WI-SPAIR) sequence to visualize the anterior talofibular ligament (ATFL) and compare the effects of different acceleration factors on imaging. <b>Materials and Methods</b>Forty volunteers underwent ankle scans on 3.0 T MR, including transverse, coronal and sagittal fat saturation proton density-weighted imaging (fsPDWI) sequences scan of conventional ankle and sagittal T2WI-SPAIR sequence scan of the CS-3D ankle joint, CS-4, CS-6 and CS-8 were set according to different acceleration factors (the compression times were 4 times, 6 times and 8 times respectively) of CS technique. Four sets of conventional, CS-4, CS-6, and CS-8 images were obtained for each volunteer. The image quality was assessed via the subjective and objective analysis to evaluate the display effect of the ATFL. <b>Results</b>The subjective evaluation of image quality by two senior diagnostic radiologist showed a high consistency (<i>k</i>=0.913, <i>P</i>＜0.001). Wilcoxon-signed rank sum test was performed by two diagnosticians on subjective scores of images in the CS group and the conventional group, and the results showed: there was no significant difference in image quality scores between groups CS-4 and CS-6 and the conventional group (<i>Z</i>=1.417, 1.414, <i>P</i>=0.155, 0.157), while there was significant difference between group CS-8 and the conventional group (<i>Z</i>=3.771, <i>P</i>＜0.001). In the objective evaluation, CS-4 group had the highest signal-to-noise ratio (SNR) in the four groups (<i>P</i>＜0.05), while CS-8 group had the lowest SNR in the four groups (<i>P</i>＜0.05), there was no significant difference in the contrast-to-noise ratio (CNR) between CS-6 group and conventional group (<i>P</i>=0.950). The scanning time of CS-4 group, CS-6 group and CS-8 group was about 16%, 43% and 58% shorter than that of conventional group, respectively. <b>Conclusions</b>CS technology combined with 3D MRI can be used for ankle joint examination with 3.0 T MRI, which can not only guarantee the image quality, but also effectively reduce the scanning time, display the anatomical structure in multiple aspects, improve the examination experience of patients, and further optimize the MRI scanning scheme of ankle joint. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Pathological nipple discharge: A comparative study of galactography and MRI]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.012</link>
<description><![CDATA[<b>Objective</b>To compare the diagnostic value of galactography (GL) and MRI in patients with pathological nipple discharge (PND) and differential for benign and malignant lesions. <b>Materials and Methods</b>Forty-eight breasts with nipple discharge in 45 cases were analyzed retrospectively. The discharge was bloody in 25 cases, yellow or yellowish in 10 cases, serous in 7 cases, watery in 4 cases, brown in 2 cases. GL and MRI were performed in all cases, and pathological findings were used as the gold standard. When breast cancer, ductal papilloma and atypical hyperplasia, Breast Imaging Reporting and Data System (BI-RADS) 4-5, BI-RADS 5 were selected as positive findings, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of the two diagnostic techniques for PND were compared. <b>Results</b>There were 48 breast lesions in 45 cases. The pathological results showed that there were 7 cases of malignant lesions, all of which were unilateral, including 2 cases of invasive ductal carcinoma, 5 cases of ductal carcinoma in situ with microinvasion and 41 cases of benign lesions. GL for the accury diagnosis of PND (breast cancer, ductal papilloma, dysplasia), sensitivity, specificity, positive predictive value, negative predictive value was 97.05%, 28.57%, 76.74%, 80.00% and 77.08%; MRI were 91.17%, 50.00%, 81.57%, 70.00% and 79.16%. When BI-RADS category 4-5 was designated as a positive finding, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of GL diagnosis were 100.00%, 12.19%, 16.27%, 100.00%, 25.00%; MRI was 100.00%, 24.39%, 18.42%, 100.00%, 35.41%. When BI-RADS category 5 was designated as a positive finding, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of GL diagnosis were 42.85%, 97.56%, 75.00%, 90.90%, 89.58%; MRI was 85.71%, 95.12%, 75.00%, 97.50%, 93.75%. The <i>χ</i><sup>2</sup> test was used for the comparison of rates between populations, and the difference between the two was not statistically significant (<i>P</i>＞0.05). However, the sensitivity of MRI for breast cancer (85.71%) was significantly higher than that of GL (42.85%), and its accuracy was 93.75% and 89.58%. <b>Conclusions</b>GL and MRI have high accuracy in the diagnosis of PND, and MRI is better than GL in the evaluation of breast cancer. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in multimodal MRI research on chemotherapy-related cognitive impairment]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.014</link>
<description><![CDATA[Chemotherapy-related cognitive impairment (CRCI) refers to the brain cognitive dysfunction caused by non-central nervous system tumor chemotherapy, which seriously affects the quality of life of patients. With the booming development of MRI technology, structural and functional MRI has become an effective method to explore the neural mechanisms of CRCI and has made continuous progress. Radiomics and artificial intelligence (AI) have also gradually developed and improved in the analysis of CRCI brain imaging data, yielding significant achievements. This paper reviews the research progress in the multimodal MRI field of CRCI and explores its clinical value. The aim is to provide a new perspective and new strategies for interpreting the detailed neuropathological mechanisms of CRCI using MRI. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[The clinical research progress of gamma-aminobutynic acid quantification based on MEGA-PRESS in neurological diseases]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.015</link>
<description><![CDATA[Neurological diseases are the important cause of disability and death worldwide, mainly including Alzheimer<sup><sup>,</sup></sup>s disease, Parkinson<sup><sup>,</sup></sup>s disease, amyotrophic lateral sclerosis, multiple sclerosis and migraine. Numerous studies have demonstrated the occurrence of neurological diseases is closely related to the disruption of the gamma-aminobutynic acid (GABA) system. Proton magnetic resonance spectroscopy is an imaging technique for the non-invasive detection of metabolites in vivo, the emerging Meshcher-Garwood point resolved spectroscopy (MEGA-PRESS) sequence achieves quantification of GABA levels in the brain using J-difference spectrum editing technology, providing clinicians with enriched imaging data for the diagnosis, treatment and prognostic management of diseases. This paper reviewed the principle of the MEGA-PRESS sequence and its research on GABA quantification in neurological diseases, in order to evaluate the clinical significance of GABA quantification in early detection and diagnosis of neurological diseases with this technique. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of amide proton transfer 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.1674-8034.2023.06.016</link>
<description><![CDATA[Amide proton transfer (APT) imaging technology is a new and original MRI technology developed in recent years on the basis of chemical exchange saturation transfer (CEST) imaging, which is based on the non-invasive detection and evaluation of protein concentration and pH at the cellular and molecular level, indirectly reflects the metabolic changes and physiological and pathological information in living cells. Parkinson<sup><sup>,</sup></sup>s disease (PD) is the second most common neurodegenerative disease, which has not been eradicated yet, patients take drugs to control symptoms and maintain daily life. Early detection and diagnosis of PD is the key to treatment, and patients benefit greatly. APT imaging technology can evaluate the protein metabolism status of various brain regions in patients with PD and help to realize the early diagnosis of PD. This article reviews the basic principles of APT MRI technology, research progress in PD, and challenges faced in its application, aiming to better understand the APT imaging technology and provide reference for future research. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Progress in the study of brain structural network in patients with autism spectrum disorder based on diffusion tensor imaging and graph theory]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.017</link>
<description><![CDATA[Autism spectrum disorder (ASD) is a category of neurodevelopmental disorder characterized by social and emotional interaction disorders as well as narrow interests and stereotyped behaviors, the underlying pathogenesis of which remains unclear. At present, the clinical diagnosis is mainly based on the observation of their behavior and symptoms, which has somewhat subjectivity, and it<sup><sup>,</sup></sup>s difficult to diagnose the early atypical patients. Previous studies show that abnormalities in the brain structural network may be one of the pathogenesis of ASD, which can be quantitatively evaluated by diffusion tensor imaging (DTI) technology and graph theory analysis. In this paper, we mainly summarize the latest research progress on the brain structural network in ASD based on DTI and graph theory analysis. Studies have found abnormal changes of brain structure network in ASD, which includes global properties, nodal properties, rich-club organization, and lateralization, and these changes are closely related to growth and development and clinical symptoms. These findings provide a reference for further understanding the neuropathological mechanism of ASD and searching for the neuroimaging markers for early diagnosis. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of brain function magnetic resonance imaging in patients with pain-depression comorbidity]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.018</link>
<description><![CDATA[Pain and depression are both common clinical diseases that often accompany each other. Moreover, the prognosis of patients with comorbid pain and depression is worse and the treatment cost is higher than that of patients with a single disease, seriously affecting the quality of life of patients. At present, the pathogenesis of pain-depression comorbidity is still unclear. Functional magnetic resonance imaging (fMRI) is a non-radiation, non-invasive functional imaging technique, which has been widely used in cognitive neuroscience and neuropsychiatry research by detecting the oxygen saturation level of brain tissue to reflect the activation degree of neurons. Based on the review of fMRI research on pain-depression comorbidity in recent years, this study found that neuroplastic changes and inflammatory factor theory may be an important cause of pain-depression comorbidity, and pain-depression comorbidity leads to the parietal cortex, amygdala, anterior cingulate cortex and other brain regions, as well as their neural circuits and abnormal functional connections may be the neuroimaging basis of the comorbidity of the two. This article reviews the research progress of fMRI in pain-depression comorbidity, provides a reference direction for future research, and provides an objective imaging basis for further revealing the central mechanism of pain-depression comorbidity. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Application progress of functional magnetic resonance imaging in the treatment of sleep disorder with traditional Chinese and western medicine]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.019</link>
<description><![CDATA[Sleep disorder (SD) is a condition characterized by difficulties in falling asleep or maintaining sleep due to various causes, and is one of the most prevalent diseases in the world, causing a serious burden to both individuals and society. The current SD treatment methods are diverse and have clear effects, and elucidating the central mechanisms of various therapies in both traditional Chinese medicine (TCM) and western medicine (WM) for SD is of great significance for the SD treatment strategy development and patient management. Functional magnetic resonance imaging (fMRI), which can indirectly reflect the activity of neurons in the brain, is an important tool for the study of SD. Considering that the central mechanisms of various therapies in TCM and WM for SD are not the same, the author reviews the latest progress of fMRI applications in the central mechanisms of TCM and WM different therapies to improve sleep for SD. The shortcomings of current research are discussed and future research directions are prospected, aiming to provide references for further exploration of deeper neural mechanisms in the therapy of SD. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress on the application of 4D-ASL in cerebrovascular disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.020</link>
<description><![CDATA[Four dimensional arterial spin labeling (4D-ASL) can achieve whole-brain perfusion imaging, selective single-vessel or whole-body cerebral vascular dynamic imaging in a non-invasive way without exogenous contrast agent, and achieve similar digital subtraction angiography effect, providing the hemodynamics and collateral circulation of cerebrovascular disease (CVD), benefiting patients with gadolinium contrast allergy and renal insufficiency, especially for children and patients with long-term follow-up. 4D-ASL has high temporal and spatial resolution, and has broad application prospects in CVD, which is helpful to analyze the characteristics of disease, such as the display of collateral circulation in arterial stenosis and occlusive disease and moyamoya disease; the measurement of aneurysm body; shunt location of arteriovenous fistula, identification of feeding artery and Borden classification; characteristics and auxiliary treatment of arteriovenous malformations. 4D-ASL is gradually becoming the next generation of non-invasive angiography technology. However, there are few research reports on 4D-ASL, and scholars lack understanding of 4D-ASL. Therefore, this article provides an overview of the imaging principles of 4D-ASL and its application value in CVD, in order to prospect the development and research direction of 4D-ASL. For scholars interested in this technology to reference and further research based on it, accelerating 4D-ASL to become a routine method for CVD vascular imaging examination. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in imaging research of vertebral artery hypoplasia and its relationship with posterior circulation ischemic stroke]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.021</link>
<description><![CDATA[Vertebral artery hypoplasia is a congenital vascular variation of the posterior cerebral circulation system, but more and more studies have found that it may be a risk factor for posterior circulation ischemic stroke. Most previous studies investigate the relationship between vertebral artery hypoplasia and posterior circulation stroke based on the traditional lumen imaging technology. But they ignore the necessity of differentiating vertebral artery hypoplasia from atherosclerosis in stroke. High-resolution vessel wall imaging has great advantages in showing the structural changes of vessel wall and revealing the relationship. This article reviews the diagnosis and incidence of vertebral artery hypoplasia, imaging evaluation methods, and its relationship with posterior circulation ischemic stroke, in order to improve clinical attention and further understanding of vertebral artery hypoplasia and reduce the occurrence of related adverse events. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of deep learning and radiomics in meningioma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.022</link>
<description><![CDATA[Meningioma is one of the most common primary central nervous system tumours, treatment modalities vary between different grades and subtypes of meningioma, so early diagnosis, grading, and typing of meningiomas are critical to the development of a comprehensive and individualized treatment plan. Radiomics and deep learning (DL) are now popular research methods, and are well established for the classification and differential diagnosis of meningiomas. Both have the characteristics of fast and accurate, fully automated learning, non-invasive and objective, which can provide more accurate diagnosis, treatment and prognosis prediction of the disease. In this paper, we will summarise and analyse the research progress of imaging histology and DL in meningioma in terms of preoperative grading and staging, differential diagnosis, prognosis of recurrence and prediction of genetic phenotype, and summarise the achievements and limitations of existing studies as well as future improvement measures and development directions, to promote the application of imaging omics and DL in the diagnosis and treatment of meningioma. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of MRI radiomics in lung cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.023</link>
<description><![CDATA[The mortality rate of lung cancer ranks first among malignant tumors. Early accurate diagnosis and clinical intervention of lung cancer are significant to improve the survival rate of patients. Traditional imaging techniques such as CT, MRI and positron emission tomography/computed tomography (PET/CT) provide limited information in the clinical evaluation of lung cancer. However, radiomics can transform image data into feature space data to provide more comprehensive and in-depth information, which has become an emerging field of lung cancer research. This article aims to summarize the concept of radiomics and to review the research progress of radiomics in the diagnosis, differential diagnosis, pathological subtype classification, gene mutation status prediction, lymph node metastasis prediction, non-surgical treatment efficacy evaluation of lung cancer, in order to provide new imaging references for the diagnosis and treatment of lung cancer. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progresses of cardiac magnetic resonance in 2022]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.024</link>
<description><![CDATA[Cardiac magnetic resonance (CMR) offers the advantages of multi-parameter and multi-sequence imaging. It has achieved "one-stop" examination on cardiac morphology, function, histology, perfusion, blood flow and the like, thus being regarded as an indispensable noninvasive imaging test for diagnosis and treatment of multiple cardiovascular diseases. In this review, we will briefly review the progress of CMR technology such as T1 mapping and feature tracking in 2022. We will then focus on the clinical application in diagnosis and differentiation, treatment and prognosis of various cardiovascular disease including ischemic heart disease, non-ischemic cardiomyopathy, heart failure and so on. We hope that this article can provide domestic professionals with assistance in clinical application and scientific research. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Application of generative adversarial networks in cardiac magnetic resonance]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.025</link>
<description><![CDATA[Cardiac magnetic resonance (CMR) is an important examination method for evaluating cardiovascular structure and function. Deep learning has been widely used in CMR image processing. Generative adversarial network (GAN), as a new type of network in deep learning, uses the adversarial game between the generator responsible for image generation and the discriminator responsible for judging the authenticity of images to create image processing models with powerful generation and generalization capabilities. We summarized the main applications of GAN in CMR image segmentation and synthesis, image reconstruction, super-resolution reconstruction, and virtual native enhancement in this paper. Combined with the current clinical application requirements of CMR, we analyzed the challenges and future prospects faced by GAN models in order to improve their practical application value as soon as possible. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress on the application of magnetic resonance T2 mapping technology in heart disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.026</link>
<description><![CDATA[Cardiac magnetic resonance (CMR) imaging has developed into an important non-invasive imaging method because of its non-invasive, radiation-free, multi-parameter, arbitrary angle imaging, and ability to characterize myocardial activity. Based on T2WI, T2 mapping has the advantage of accurately characterizing myocardial edema, quickly and high-quality acquisition of myocardial T2 images in various disease states, and quantitative evaluation and analysis, which makes up for the shortcomings of traditional MRI subjective evaluation and makes the diagnosis tend to be objective and accurate Change. T2 mapping values vary depending on the concentration of water in the myocardium, so T2 mapping can be used to diagnose infiltrative cardiomyopathy and myocardial injury characterized by edema, necrosis, or bleeding formation, as well as to diagnose heart transplant rejection. This article will summarize the principle of T2 mapping technology and its clinical application in heart disease. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of multiparametric MRI radiomics in breast cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.027</link>
<description><![CDATA[The incidence of breast cancer is the first among female malignant tumors. Breast magnetic resonance imaging (MRI) is used in the early diagnosis of breast cancer, formulation of preoperative guiding operation plan and evaluation of curative effect because of its advantages of multi-parameter, multi-sequence, multi-direction, high sensitivity and no radiation. Radiomics is a research hotspot in recent years. By converting digital medical images into mineable data, many hidden quantitative information can be extracted from morphological and functional images, in order to reflect the potential pathological and physiological characteristics of tissues to assist precision medicine. The current researches on radiomics in breast has basically covered the entire diagnosis and treatment process of breast diseases. However, there are still many problems to be solved in the process of translating radiomics into clinical practice. We will briefly describe the relationship between radiomics and artificial intelligence, and summarize the use of multiparametric MRI radiomics in differentiating benign and malignant breast lesions, predicting breast cancer molecular subtypes, lymph node status, the efficacy of neoadjuvant chemotherapy, the prognosis and disease-free survival based on published literature, discussing the limitations and challenges of current researches, in order to provide reference for improving the next research. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Progress of MRI and Radiomics in predicting the response to neoadjuvant therapy for breast cancer in different molecular subtypes]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.028</link>
<description><![CDATA[Neoadjuvant therapy (NAT) is an important part of comprehensive treatment in breast cancer. Magnetic resonance imaging (MRI) is a major method in predicting the response to NAT, but still has certain limitations and some differences in the accuracy of efficacy evaluation of different molecular subtypes of breast cancer. Existing researches show that the radiomics model based on MRI can improve prediction performance. Aiming at different molecular subtypes of breast cancer, the establishment of image omics and deep learning models combined with multi-parameter MRI can further improve the prediction efficiency and accurately guide clinical decision-making. In this paper, the value of MRI in evaluating NAT efficacy of different molecular subtypes of breast cancer, the predictive efficacy of combined imagomics and deep learning models, as well as the problems and challenges faced were reviewed, aiming to provide references for further research and clinical practice. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[MRI features and research progress of proliferative hepatocellular carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.029</link>
<description><![CDATA[Pathological subtypes of hepatocellular carcinoma are closely related to specific gene mutations and carcinogenic pathways. Studies have proposed an aggressive subtype: proliferative hepatocellular carcinoma, which usually has poor cell differentiation, high alpha-fetoprotein level and frequent microvascular invasion. Compared with non-proliferative hepatocellular carcinoma, this subtype has a high recurrence rate and a poor prognosis. MRI can noninvasively predict proliferative hepatocellular carcinoma. This paper reviews the MRI characteristics of proliferative hepatocellular carcinoma and the research progress of MRI based imaging omics and deep learning in the diagnosis of proliferative hepatocellular carcinoma, and discuss the challenges to provide theoretical basis for radiologists to identify proliferative hepatocellular carcinoma and to realize the early diagnosis and prognosis evaluation of proliferative hepatocellular carcinoma in clinical application. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in multiparametric magnetic resonance imaging radiomics in the management of prostate cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.030</link>
<description><![CDATA[Prostate cancer (PCa) is one of the more common malignancies in men and the ability to diagnose it early is key to its prognosis. Multi-parametric magnetic resonance imaging (mpMRI) is a major tool for detecting PCa detection and predicting risk stratification, including screening, improving diagnostic accuracy, risk stratification, guiding treatment and post-treatment assessment. The development of radiomics has provided a new way of thinking to the various current traditional examination modalities, through automated methods to extract quantitative imaging features and analysis of huge data volumes to provide information for clinical diagnosis and decision-making for PCa patients. The application of mpMRI radiomics in PCa not only enables automated localization of the disease, but also provides a non-invasive solution to evaluate PCa from tumor biology to genetic level. Clinical value of mpMRI based radiomics correlation studies for non-invasive diagnosis, aggressiveness assessment, progression detection, genomic analysis and targeted drug efficacy in PCa. This article reviews the progress of mpMRI radiomics in the diagnosis, treatment and prediction of risk, aggressiveness and prognosis of PCa. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of radiomics based on multi-parameter MRI in lymphatic space invasion of endometrial cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.031</link>
<description><![CDATA[Among the numerous factors that affect the prognosis of endometrial cancer (EC), lymphatic vascular space invasion (LVSI) is an important independent risk factor, and current conventional imaging methods cannot accurately diagnose it before surgery. In recent years, the radioomics of multi-parameter magnetic resonance imaging (mpMRI) has shown great potential for diagnosing LVSI in EC, making it possible to accurately diagnose LVSI before surgery. This review summarizes and compares the latest research progress of mpMRI radiomics in EC LVSI, and innovatively proposed combining the radiomics of mpMRI with the tumor marker HE4 (human epididymis protein 4) to construct the radiomics model, aiming to improve the detection rate of LVSI and make more accurate judgments of patient progression, thereby assisting clinical treatment of patients with more precise treatment and improving their prognosis. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Radiomics predicts the heterogeneity and prognosis of high-grade serous ovarian cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.032</link>
<description><![CDATA[Ovarian cancer represents the most lethal gynecological malignancy. Although treatment options for ovarian cancer has been matured, patient survival and prognosis have only improved slightly in the recent years. Many studies have hypothesized that this is because tumor heterogeneity determines the different patient response to treatment and prognosis. Actually, CT and MRI images contain a large amount of tumor heterogeneity information that is difficult to identify with the naked eye, which can reflect the prognosis of tumors. Therefore, some scholars have proposed that radiomics be used to extract quantitative features to assess tumor heterogeneity and then analyze and model according to specific clinical problems. This article reviews the application of radiomics in the preoperative prediction of high-grade serous ovarian cancer heterogeneity and survival, lymph node or peritoneal metastasis, postoperative tumor residual, postoperative response to chemotherapy and platinum resistance. It found that the lack of standardization, poor reproducibility and few prospective samples in current studies. In addition, the association between radiomics and high-grade serous ovarian cancer heterogeneity and prognosis-related genomics has good research prospects. It is hoped that it can provide more new directions for future research. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Application interpretation and research progress of ADNEX MR scoring system for ovarian tumors]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.033</link>
<description><![CDATA[Early diagnosis of ovarian tumors is essential. Ultrasonography is the imaging method of choice, with high sensitivity (Sens) and specificity (Spec), but 20% of tumors cannot identify benign or malignant. MRI has been adopted as a non-surgical criterion for the diagnosis of benign and malignant ovarian tumors. The Assessment of Different NEoplasias in the AdneXa (ADNEX) MR scoring system can better risk assessment and stratification of tumors, which is of great significance for early and accurate detection of tumors, determination of tumor subtypes, determination of treatment modalities, and improvement of survival rates. In view of this, this article will describe the scanning technology, scoring rules and clinical corresponding treatment methods of ADNEX MR scoring system, and review its application status and related research progress, so that clinicians can better understand and apply it. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of MRI on brain in patients with cervical spondylotic myelopathy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.034</link>
<description><![CDATA[Cervical spondylotic myelopathy (CSM) is a common degenerative disease with severe neurological impairment. CSM has received widespread clinical attention. Previous studies have shown that CSM not only causes injury to the spinal cord itself, but also causes remodeling changes in the distal brain center, which may be related to the symptoms and prognosis of patients. In order to further understand the potential neuropathological mechanism of CSM, the paper reviews the current research status and progress of brain imaging in patients with CSM from the perspective of multi-parameter MRI (voxel-based morphology, diffusion tensor imaging, functional magnetic resonance imaging, magnetic resonance spectroscopy, etc), which may be of great significance for guiding clinical treatment and improving long-term rehabilitation efficacy. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of osteoarthritis of the knee using MRI: based on deep learning]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.035</link>
<description><![CDATA[Currently, the prevalence rate of knee osteoarthritis (KOA) is increasing year by year, and the evaluation of KOA is mainly conducted by MRI. However, the structure of the knee joint itself is complex. At present, clinical experts rely on their experience to diagnose and distinguish knee joint MRI images, which not only has low efficiency but may also result in low accuracy due to the difficulty of identifying tiny lesions with the naked eye. In recent years, deep learning has developed rapidly and has made significant achievements in the field of computer vision, such as image segmentation and synthesis. People have begun to use deep learning methods to process complex medical images such as MRI, CT, and X-ray images, thus improving the accuracy and efficiency of clinical diagnosis and treatment. Nowadays, many relevant studies have introduced deep learning to assist in the diagnosis of KOA by processing knee joint MRI images. We summarized and organized these studies, summarized the research progress of deep learning in KOA MRI image segmentation, reconstruction, synthesis, and analyzed the limitations of existing studies in this paper, in order to provide new ideas for the diagnosis and treatment of KOA in the future. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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<title><![CDATA[Principle and application progress of magnetic resonance reporter gene imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.06.036</link>
<description><![CDATA[With the development of magnetic resonance imaging methods and the development of new sequences, magnetic resonance imaging has become increasingly widely used early diagnosis of diseases, cell tracing, and gene analysis. Magnetic resonance reporter gene imaging, as an important branch of magnetic resonance imaging, has also received great attention. There are various types of magnetic resonance imaging reporter genes, and their application fields vary due to their different imaging principles. Familiarity with the imaging principles and advantages and disadvantages of magnetic resonance imaging reporter genes is a prerequisite for their application. This article will introduce the application of reporter genes from the imaging principles, research frontiers, and future development of magnetic resonance reporter genes. We hope to improve the efficiency and safety of magnetic resonance molecular imaging and promote the development of magnetic resonance imaging technology. ]]></description>
<pubDate>Tue,20 Jun 2023 00:00:00  GMT</pubDate>
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