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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=202406</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[Diffusion kurtosis imaging reveals microstructural abnormalities in cerebral white matter fiber tracts in children with global developmental delay]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.002</link>
<description><![CDATA[<b>Objective</b>Diffusion kurtosis imaging (DKI) was employed to evaluate microstructural changes in the white matter fiber tracts of the brain in children with global developmental delay (GDD). <b>Materials and Methods</b>This prospective  study included 37 children with GDD in the experimental group and 32 age- and gender-matched healthy children in the control group. All participants underwent DKI sequence scanning, and diffusion tensor and kurtosis tensor parameters were obtained following post-processing. The parameters were compared between the two groups using tract-based spatial statistics (TBSS). Spearman correlation analysis was conducted between the parameter values within the fiber bundles showing significant intergroup differences and the neurodevelopmental scores of children with GDD. <b>Results</b>Compared to the control group, the mean diffusivity (MD) of the right corticospinal tract and right anterior thalamic radiation were significantly increased in the GDD group (all <i>P</i>&lt;0.05); the radial diffusivity (RD) of the bilateral anterior thalamic radiation, bilateral corticospinal tract, and right superior longitudinal fasciculus were also significantly increased (all <i>P</i>&lt;0.05). Additionally, the radial kurtosis (RK) in the GDD group was significantly decreased (all <i>P</i>&lt;0.05), including the bilateral anterior thalamic radiations, bilateral corticospinal tracts, bilateral inferior fronto-occipital fasciculi, bilateral superior longitudinal fasciculi, bilateral inferior longitudinal fasciculi, forceps minor, left uncinate fasciculus, and right cingulum. Correlation analysis revealed that the average RK values of the left inferior longitudinal fasciculus and left uncinate fasciculus were positively correlated with adaptive behavior scores (<i>r</i>=0.349, 0.486, respectively; all <i>P</i>&lt;0.05); the average RK value of the left uncinate fasciculus was positively correlated with fine motor and personal-social behavior scores (<i>r</i>=0.365, 0.590, respectively; all <i>P</i>&lt;0.05). <b>Conclusions</b>The DKI technique can detect abnormalities in the microstructure of the white matter fiber bundles in children with GDD, providing useful insights into the potential pathophysiological mechanisms of GDD. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[A study on the brain functional network of adult epilepsy comorbidity depression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.003</link>
<description><![CDATA[<b>Objective</b>To study the topology of brain functional networks in epilepsy comorbidity depression using resting-state functional magnetic resonance imaging (rs-fMRI) combined with graph theory analysis. <b>Materials and Methods</b>Fifty-five included epilepsy patients underwent rs-fMRI examination and 17 item version of Hamilton Depression Rating Scale (HAMD) assessment, and were divided into depression and non-depression groups based on HAMD scores, with 30 cases in the depression group (ED group) and 25 cases in the non-depression group (E group) finally included. Based on the brain network analysis method of rs-fMRI combined with graph theory, the brain functional connectivity network was constructed, the global and node indexes of the brain network topology were calculated, and analyze whether there are abnormalities in the topological properties of the brain networks in the ED and E groups, and whether there is a correlation between abnormal indicators and HAMD scores. <b>Results</b>The clustering coefficient (Cp) and standardized characteristic path length (lambda, λ) decreased in patients in ED group, and the difference was statistically significant (<i>P</i>&lt;0.05). At the nodal level, the brain regions with decreased centrality included the left cuneus and left supraoccipital gyrus; the brain regions with increased centrality were located in the orbital part of the right middle frontal gyrus, and the differences were all statistically significant (<i>P</i>&lt;0.05, FDR corrected). Global attribute clustering coefficients (<i>r</i>=-0.349, <i>P</i>=0.012), node clustering coefficients (NCp) of the left superior occipital gyrus (<i>r</i>=-0.382, <i>P</i>=0.006), NCp of the left cuneus (<i>r</i>=-0.477, <i>P</i>&lt;0.001), and nodal local efficiency (NLe) of the left superior occipital gyrus nodes (<i>r</i>=-0.351, <i>P</i>=0.011) were negatively correlated with HAMD scores, and NLe of the orbital node of the right middle frontal gyrus (<i>r</i>=0.409, <i>P</i>=0.003) was positively correlated with HAMD scores. <b>Conclusions</b>In this study, we found that patients with epilepsy with/without depression have small-world network properties, the abnormal changes in some global and nodal indicators of its brain functional network provide imaging evidence for a better understanding of the occurrence and development of comorbidities and depression in epilepsy. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Abnormal cortical thickness and functional connectivity of the left insula and right posterior parietal cortex in Crohn<sup><sup>,</sup></sup>s disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.004</link>
<description><![CDATA[<b>Objective</b>To investigate the alterations in brain structure and function among patients with Crohn<sup><sup>,</sup></sup>s disease (CD) and their correlation with clinical indicators. <b>Materials and Methods</b>Brain structural and resting-state functional magnetic resonance imaging data, along with clinical indicator data, were collected from 20 CD patients and 21 healthy controls. Based on the Schaefer atlas, the left and right hemispheres were divided into 100 brain regions, and the differences in cortical thickness between the two groups were examined. Functional connectivity (FC) was calculated among the brain regions showing significant structural group difference, and the differences in FC between the two groups were compared. The associations between clinical indicators [Self-rating Anxiety Scale (SAS) score, Self-rating Depression Scale (SDS) score, CD activity index and disease duration] and abnormal cortical thickness &amp; FC were measured using Pearson correlation coefficient in CD group. <b>Results</b>Compared to the healthy control group, CD patients exhibited a decrease in cortical thickness in the left insula (<i>P</i>=0.002, FDR correction) and right posterior parietal cortex (<i>P</i>=0.031, FDR correction). The FC between the left insula and right posterior parietal cortex was significantly reduced in CD group (<i>P</i>=0.025). Furthermore, there was a significant negative correlation between cortical thickness of left insula and SDS score among CD patients (<i>r</i>=-0.61, <i>P</i>=0.007). <b>Conclusions</b>The left insular and right posterior parietal cortex structure and FC are damaged in CD patients compared with normal controls. The thickness of left insular cortex is associated with the increase of depression score, which provides new clues for understanding the neural mechanism of CD. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Alterations in amplitude of low frequency fluctuation and functional connectivity of brain in primary dysmenorrhea patients under different self-states: A resting-state functional magnetic resonance imaging study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.005</link>
<description><![CDATA[<b>Objective</b>The central mechanisms of pain in patients with primary dysmenorrhea (PDM) were investigated using the amplitude of low frequency fluctuations (ALFF), fractional amplitude of low frequency fluctuations (fALFF), and functional connectivity (FC) methods. <b>Materials and Methods</b>Thirty-one patients with PDM were included, and all subjects underwent dual-phase resting-state functional magnetic resonance imaging during menstruation and periovulatory. ALFF and fALFF values were calculated, and brain regions with differences in both ALFF and fALFF values were extracted as regions of interest (ROI), and FC values of ROI versus whole-brain voxels were calculated. The paired-sample <i>t</i>-test was used to compare the ALFF, fALFF, and FC values of PDM patients in pain and pain-free states, and Pearson<sup><sup>,</sup></sup>s correlation analysis was used to explore the relationship between the ALFF and fALFF values and the clinical indicators of PDM patients. <b>Results</b>Compared with the non-painful phase, PDM patients showed significantly higher ALFF values in the left medial superior frontal gyrus and right cerebellar area Ⅱ and significantly lower ALFF values in the left insula during the painful phase (two-tailed test <i>P</i>&lt;0.05, Alphasim-corrected, cluster level&gt;176); fALFF values in the left dorsolateral superior frontal gyrus, left inferior frontal gyrus delta, and right pedunculopontine nucleus during the painful phase of PDM patients were significantly higher than in the non-painful phase, and the fALFF values in the left precuneus were significantly lower than in the non-painful phase (two-tailed test <i>P</i>&lt;0.05, Alphasim corrected, cluster level&gt;154). Subsequently, seed-point-based FC analysis showed that the left superior frontal gyrus was the brain region that differed in both ALFF and fALFF values, and its connectivity with the left cerebellar area Ⅷ was reduced in the painful phase compared to the non-painful phase (two-tailed test <i>P</i>&lt;0.05, Alphasim corrected, cluster level&gt;181); Pearson correlation analysis showed that the left insula in the painful phase of PDM patients ALFF values were negatively correlated with CMSS-t (<i>r</i>=-0.400, <i>P</i>=0.026). <b>Conclusions</b>The present study reveals abnormal alterations of ALFF and fALFF in PDM and involves multiple brain networks, providing new insights to help understand the central mechanisms of PDM. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Immediate brain network changes in AIS patients treated with electroacupuncture by observing resting-state functional magnetic resonance imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.006</link>
<description><![CDATA[<b>Objective</b>To investigate the changes of immediate sensory motor network (SMN) and default mode network (DMN) in patients with acute ischemic stroke (AIS) using resting-state functional magnetic resonance imaging (rs-fMRI) and independent component analysis (ICA). <b>Materials and Methods</b>Twenty-seven patients with AIS and 27 healthy controls (HCs) were included in the study. Each subject was assessed on relevant clinical scales and baseline data were collected, followed by immediate electroacupuncture stimulation for AIS, and relevant rs-fMRI data were collected. Then, the SMN and DMN network components were extracted using the ICA method. The functional connectivity values of patients and healthy controls were compared, as well as the changes in functional connectivity before and after acupuncture; bias correlation analysis was performed between the change values and the corresponding changes in clinical scale scores; and then the differential brain regions were used as seed points to calculate their functional connectivity (FC) with the whole brain. <b>Results</b>Before acupuncture, functional connectivity increased in the left prefrontal lobe of the AIS group comparable to the healthy control group (<i>P</i>&lt;0.001), and decreased in the left subparietal lobule (<i>Z</i>=4.38, <i>P</i>&lt;0.001) and the right posterior cingulate gyrus (<i>Z</i>=4.87, <i>P</i>&lt;0.001); the FC values of the left subparietal lobule (<i>P</i>&lt;0.001), the left posterior cingulate gyrus (<i>P</i>&lt;0.001), and the left frontal lobe (<i>P</i>&lt;0.001) increased, increased FC values in some cerebellar regions (<i>P</i>&lt;0.001). After acupuncture, the functional connectivity of the right prefrontal lobe in the AIS group significantly increased (<i>P</i>&lt;0.001) and strongly and positively correlated with the difference of (Fugl-Meyer Assessment, FMA) score (<i>r=</i>0.842, <i>P</i>&lt;0.001); the FC values of the right thalamus (<i>Z</i>=4.38, <i>P</i>&lt;0.001) and the left frontal lobe in the AIS group significantly increased (<i>P</i>&lt;0.001), and the FC values of some cerebellar regions increased. <b>Conclusions</b>AIS patients have abnormal brain activity in the limbic system (posterior cingulate gyrus, hippocampus)-thalamus-cortex (subparietal lobule-frontal lobe) neural circuit; electroacupuncture can immediately modulate the brain spontaneous activity of AIS patients, which involves the brain areas related to motor completion, and it may be a potential target brain area for electroacupuncture treatment of AIS. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Application value of structural MRI combined with computerized cognitive assessment based on VR eye-tracking technology in early diagnosis of Alzheimer<sup><sup>,</sup></sup>s disease]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.007</link>
<description><![CDATA[<b>Objective</b>To explore the clinical application value of structural MRI in conjunction with computerized cognitive assessment based on VR eye-tracking technology in early diagnosis of Alzheimer<sup><sup>,</sup></sup>s disease (AD). <b>Materials and Methods</b>Seventy-seven patients with early AD and fifty-eight cognitively unimpaired (CU) participants underwent the traditional neuropsychological scale assessment [including Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA)], a 5-minute VR eye-tracking technology-based cognitive assessment, and 3D T1-weighted MRI. The hippocampal volume (HV) was quantified using an automatic structural analysis tool. Receiver operating characteristic (ROC) curves were constructed to analyze the diagnostic effectiveness of the single index (HV) and the combined index (HV along with the total score from the VR eye-tracking technology-based cognitive assessment) for AD. <b>Results</b>(1) The area under ROC curve (AUC) of early AD diagnosed by HV was 0.629 (95% <i>CI</i>:0.542-0.711). When combining HV with the VR eye-tracking cognitive assessment, the AUC increased to 0.825 (95% <i>CI</i>: 0.751-0.885). The DeLong test results indicated a significant difference between the two methods (<i>P</i>&lt;0.001). (2) The HV in the early AD group was significantly lower than that in the CU group (<i>Z</i>=-2.565, <i>P</i>=0.010). (3) The total score of VR eye-tracking cognitive assessment was positively correlated with MMSE score and MoCA score (<i>r</i>=0.531, 0.627, <i>P</i>&lt;0.001). <b>Conclusions</b>Combining computerized cognitive assessment using VR eye-tracking technology significantly enhances the diagnostic value of hippocampal volume in the early detection of AD. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Degree centrality of brain network in immigrants at ultra-high altitudes: A resting state functional MRI study]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.008</link>
<description><![CDATA[<b>Objective</b>To explore the effects of ultra-high altitude environment on the network degree centrality in migrant populations. <b>Materials and Methods</b>Healthy individuals were recruited in ultra-high altitude (Lhasa) and high altitude (Lanzhou). Physiological indicators (arterial oxygen saturation, heart rate and breath-holding time after inhalation) and imaging dates (resting functional magnetic resonance imaging and 3D T1WI) were collected. The degree centrality (DC) of resting-state functional magnetic resonance imaging data were performed. Two-sample <i>t</i>-test was used to compare physiologic and DC values between groups. Controlling for factors that differed in demographic significance between groups. The partial correlation was analyzed between DC values of differential brain regions and physiological factors. <b>Results</b>Compared with high altitude group, the migrants in ultra-high altitude group had a decrease in their breath holding time and oxygen saturation, and an increase in heart rate (<i>P</i>&lt;0.001). The DC value of visually related brain regions, such as bilateral Calcarine gyrus, middle occipital gyrus and cuneus, and the right central posterior gyrus increased (FDR correction, <i>P</i>&lt;0.05) in ultra-high altitude group, which were negatively correlated with arterial oxygen saturation (<i>r</i>=-0.360, <i>P</i>=0.006; <i>r</i>=-0.481, <i>P</i>&lt;0.001). The DC value of bilateral insula and putamen, right middle cingulate and supplementary motor area and left cerebellum decreased (FDR correction, <i>P</i>&lt;0.05) in ultra-high altitude group. The DC value of right insula and putamen, left insula and putamen and left cerebellum were positively correlated with arterial oxygen saturation (<i>r</i>=0.518, <i>P</i>&lt;0.001; <i>r</i>=0.416, <i>P</i>=0.001; <i>r</i>=0.414, <i>P</i>=0.001). <b>Conclusions</b>The high-altitude environment may alters post inspiratory breath-holding time and heart rate, enhances functional compensatory in visual areas, and weakens the centrality of the nucleus accumbens, insula, and cerebellum in the functional brain network. These features may serve as potential imaging biomarkers of the degree centrality on functional brain networks in immigrant populations in ultra-high altitude environments. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on brain structural magnetic resonance imaging characteristics and correlation with emotion and cognition in patients with coronary heart disease and depression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.009</link>
<description><![CDATA[<b>Objective</b>To explore the MRI characteristics of brain structure in patients with coronary heart disease and depression (CHDD) and analyze their correlation with emotion and cognitive ability. <b>Materials and Methods</b>A case-control design was adopted, including 22 CHDD patients, 44 coronary heart disease without depression (CHD-nD) patients, and 30 healthy controls (HC). T1-weighted images of all subjects were processed using a MR brain structure segmentation auxiliary analysis system, and statistical analysis was performed using SPSS 26.0 software. Firstly, all data were tested for normality. For data conforming to a normal distribution, one-way ANOVA was used to compare the three groups, followed by post-hoc comparisons using the least significant difference (LSD) test. For non-normally distributed data, the Kruskal Wallis <i>H</i> nonparametric test was applied, with post-hoc comparisons performed using the Mann-Whitney <i>U</i> test and Bonferroni correction to control for errors in multiple comparisons. Additionally, correlation analysis was conducted to explore the relationship between brain structural changes and emotional and cognitive scores. <b>Results</b>(1) Compared to the HC group, the CHDD group showed significantly reduced cortical curvature in the right anterior middle frontal gyrus, inferior temporal gyrus, and lateral occipital cortex (<i>P</i>&lt;0.05), and a significant increase in cortical surface area in the left superior temporal gyrus (<i>P</i>&lt;0.05). (2) Compared to the HC group, CHD-nD patients exhibited a significant increase in the volume of the posterior corpus callosum and significant decreases in the proportion of whole brain volume in the left posterior cingulate gyrus, left operculum, right paracentral lobule, left hippocampal subiculum, left hippocampal fissure, and cortical curvature of the left entorhinal cortex (all<i> P</i>&lt;0.05). (3) Compared to the HC group, the CHDD and CHD-nD groups showed significantly reduced proportions of whole brain volume in the bilateral medial orbitofrontal cortex. They left cuneus and reduced cortical curvature in the right precentral gyrus. Additionally, volume significantly increased in the right hippocampal fissure (all <i>P</i>&lt;0.05). (4) Correlation analysis revealed that the Hamilton Depression Scale (HAMD) score was negatively correlated with the proportion of whole brain volume in the left medial orbitofrontal cortex (<i>r</i>=-0.228, <i>P</i>=0.025), right precentral gyrus (<i>r</i>=-0.239,<i> P</i>=0.019), and cortical curvature of the right lateral occipital cortex (<i>r</i>=-0.256, <i>P</i>=0.012), and positively correlated with the cortical surface area of the left superior temporal gyrus (<i>r</i>=0.254, <i>P</i>=0.013). The Montreal Cognitive Assessment (MoCA) score was positively correlated with the proportion of whole brain volume in the left medial orbitofrontal cortex (<i>r</i>=0.342, <i>P</i>=0.007). <b>Conclusions</b>Structural abnormalities in the frontal lobe (precentral gyrus anterior and precentral gyrus), temporal lobe (inferior temporal gyrus and superior temporal gyrus slope), occipital lobe (lateral occipital gyrus and cuneus), and hippocampal fissure of CHDD patients may be the neuroanatomical basis of CHDD. These brain regions are related to patients<sup><sup>,</sup></sup> emotional, and cognitive impairments. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Predictive value of cerebral blood tubule burden score for recurrent cerebrovascular events in patients with transient ischemic attack]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.010</link>
<description><![CDATA[<b>Objective</b>To investigate the predictive value of CSVD burden score for recurrent cerebrovascular events (RCVEs) in patients with transient ischemic attack (TIA). <b>Materials and Methods</b>A total of 182 patients with TIA who were treated in the Second People<sup><sup>,</sup></sup>s Hospital of Anhui Province from October 2019 to December 2022 were selected as the research objects. The overall burden score of CSVD was calculated according to MRI examination. According to the presence or absence of RCVEs within 1 month of follow-up, they were divided into RCVEs group (<i>n</i>=46) and non-RCVEs group (<i>n</i>=136). The clinical data and CSVD total burden score were compared between the two groups. Multivariate logistic regression analysis model was used to analyze the independent risk factors of RCVEs. The receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of CSVD image feature score and total burden score for RCVEs in TIA patients. <b>Results</b>There were significant differences in the number of TIA attacks, duration of symptoms, history of hypertension, total burden score and classification of CSVD between the RCVEs group and the non-RCVEs group (<i>P</i>&lt;0.05). Multivariate Logistic regression analysis showed that the number of TIA attacks, the duration of symptoms, and the total burden score of CSVD were independent risk factors for RCVEs in TIA patients (<i>P</i>&lt;0.05). The results of ROC curve analysis showed that the areas under curve (AUC) of CSVD imaging marker score and total burden score in predicting RCVEs in TIA patients were 0.771 (95% <i>CI</i>: 0.673-0.869, <i>P</i>&lt;0.001), 0.745 (95% <i>CI</i>: 0.655-0.835, <i>P</i>&lt;0.001), 0.664 (95% <i>CI</i>: 0.549-0.780, <i>P</i>=0.009), 0.845 (95% <i>CI</i>: 0.766-0.924, <i>P</i>&lt;0.001), 0.945 (95% <i>CI</i>: 0.896-0.994, <i>P</i>&lt;0.001), respectively. The AUC predicted by CVSD total burden score was the highest. When the optimal cutoff value was 2 points, the sensitivity was 86.05% and the specificity was 83.02%. <b>Conclusions</b>The CSVD total burden score has a good predictive value for RCVEs in TIA patients, which is helpful for clinical evaluation of short-term prognosis in TIA patients. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of cardiac magnetic resonance feature tracking in the evaluation of patients with pulmonary hypertension due to left heart failure]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.011</link>
<description><![CDATA[<b>Objective</b>To quantitatively evaluate the myocardial strain by cardiac magnetic resonance feature tracking (CMR-FT) and investigate the value of cardiac magnetic resonance (CMR) parameters of patients with pulmonary hypertension due to left heart failure (PH-LHF). <b>Materials and Methods</b>The clinical and CMR data of 215 patients with left heart failure (LHF) hospitalized between September 2018 and September 2020 were retrospectively analyzed, and they were divided into two groups, 129 patients with LHF and 86 patients with PH-LHF according to systolic pulmonary artery pressure (sPAP) measured by echocardiography. The baseline data and CMR parameters, including biventricular related volumetric and functional parameters, structural parameters and myocardial strain parameters were statistically analyzed. Univariate and multivariate logistic regression analysis were used to analyze the independent predictors of PH-LHF, and receiver operating characteristics (ROC) curves were plotted to evaluate the diagnostic value of CMR parameters. <b>Results</b>In patients with PH-LHF, left ventricular (LV) and right ventricular (RV) end diastolic volume index (EDVI), end systolic volume index (ESVI), right ventricular myocardial mass index (RVMMI), ventricular septal angle as well as left atrial structural parameters, including maximum of left atrial diameter (LAD<sub>max</sub>) and maximum of left atrial area (LA-a<sub>max</sub>) were higher than those in patients with LHF, while LV and RV ejection fraction (EF), right ventricular stroke volume index (RVSVI), right ventricular cardiac index (RVCI) were lower than those in patiets with LHF. LV global longitudinal strain (GLS), global circumferential strain (GCS) and the corresponding rate, RV GCS, left atrial active strain (εa), left atrial passive strain (εe), left atrial total strain (εs) were all decreased in patients with PH-LHF. Multivariate logistic regression analysis showed that RVEF, LV GCS, εa and LAD<sub>max</sub> were independent predictors of PH-LHF. ROC analysis showed that the AUC values of the clinical model, CMR model and combined model were 0.773, 0.777 and 0.828, respectively. The DeLong test showed that the diagnostic performance of the clinical model was improved after the addition of CMR parameters (0.773 vs. 0.828, <i>P</i>&lt;0.05). <b>Conclusions</b>CMR-FT can quantitatively evaluate biventricular and left atrial strain, and reflect myocardial function in patients with PH-LHF. CMR has a certain clinical value in the assessment of patients with PH-LHF. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Radiomics based on multiparametric MRI for prediction of breast cancers sensitive to neoadjuvant chemotherapy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.012</link>
<description><![CDATA[<b>Objective</b>To predict the sensitivity of breast cancer to neoadjuvant therapy (NAT) based on multiparametric magnetic resonance imaging (mpMRI) combined with clinical variables. <b>Materials and Methods</b>A total of 248 patients with pathologically confirmed breast cancer were enrolled in this study and randomly divided into a training group (173 cases) and a validation group (75 cases) in a 7∶3 ratio. All patients underwent mpMRI examination before NAT. The Miller-Payne (MP) grading system was used to assess the effectiveness of NAT, with MP grades 1-2 considered as insensitive to NAT response, and MP grades 3-5 as sensitive. Based on dynamic contrast-enhanced MRI (DCE-MRI), T2WI, and diffusion weighted imaging (DWI) sequence images to delineate tumor regions, to extract and filter imaging radiomics features. A radiomics score (Rad-score) was derived using the least absolute shrinkage and selection operator algorithm. Univariate logistic regression was ultilized to analyze clinical and pathological variables, including age, menstrual status, molecular subtype, chemotherapy regimen, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER-2), and tumor proliferative index Ki-67. Significant clinical and pathological variables, along with the Rad-score, were included in the multivariate logistic regression analysis to establish an radiomics-clinical combined model and nomogram. The predictive performance of model was assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). <b>Results</b>Univariate logistic regression analysis showed that Rad-score (<i>P</i>&lt;0.001), ER expression status (<i>P</i>=0.001), and chemotherapy regimen (<i>P</i>=0.031) were significantly associated with the sensitivity of NAT in breast cancer. The AUC of the radiomics-clinical combined model constructed by Rad-score with ER expression status and chemotherapy regimen was 0.845 (95% <i>CI</i>: 0.780-0.910) in the training cohort, and 0.820 (95% <i>CI</i>: 0.718-0.923) in the validation cohort. The nomogram in prediction of breast cancer susceptibility to NAT had a higher degree of differentiation (C index: training queue is 0.842, validation queue is 0.822), the calibration curve shows good consistency. The clinical decision curve showed that the nomogram had a high overall net benefit. <b>Conclusions</b>The integration of radiomics and clinical variables and nomogram show promise in predicting sensitivity of breast cancer to neoadjuvant therapy. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on the differential diagnostic efficacy of Kaiser score and apparent diffusion coefficient values for benign and malignant breast lesions during lactation]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.013</link>
<description><![CDATA[<b>Objective</b>To evaluate the diagnostic performance of Kaiser score and apparent diffusion coefficient (ADC) in the differential diagnosis of benign and malignant breast lesions during lactation. <b>Materials and Methods</b>This retrospective study enrolled 65 patients who underwent breast MRI in the Third Affiliated Hospital of Zhengzhou University from October 2016 to October 2023. The clinical, pathological and imaging data of 65 patients were collected. According to the pathological results, the cases were divided into malignant group (31 cases) and benign group (34 cases). One primary lesion was selected from each patient for Kaiser score and ADC value measurement. Lesions with Kaiser scores greater than 4 were reevaluated based on their ADC values, and new predictive indicator Kaiser+ were obtained. Using pathological results as the gold standard, and receiver operating characteristic (ROC) curve was used to compare the diagnostic accuracy of ADC value. Calculated the area under the curve (AUC), sensitivity, specificity, and accuracy, and compared the AUC of the three using DeLong test. <b>Results</b>The AUC of ADC value was 0.818 [95% confidence interval (<i>CI</i>): 0.709-0.927]. The AUC of Kaiser score was 0.881 (95% <i>CI</i>: 0.791-0.971). The AUC of Kaiser+ score was 0.910 (95% <i>CI</i>: 0.931-0.990). The AUC between Kaiser+ score and ADC value was statistically significant (0.910 vs. 0.818, <i>P</i>=0.011). There was no significant difference in AUC between Kaiser score and ADC value (0.881 vs. 0.818, <i>P</i>=0.141), and there was no significant difference in AUC between Kaiser+ score and Kaiser score (0.910 vs. 0.881, <i>P</i>=0.151). <b>Conclusions</b>Kaiser+ score has higher diagnostic efficiency than ADC value, which can accurately identify benign and malignant breast lesions during lactation and provide reference for clinical development of personalized treatment plans. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Clinical study on MRI features of different pathological subtypes of uterine sarcoma and their relationship with menopausal status]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.014</link>
<description><![CDATA[<b>Objective</b>To explore the association between MRI features of different pathological subtypes of uterine sarcoma and patients<sup><sup>,</sup></sup> menopausal status. <b>Materials and Methods</b>Retrospective analysis of clinical and imaging data of 68 patients with surgically and pathologically confirmed uterine sarcoma, including 17 cases of uterine leiomyosarcoma, 18 cases of endometrial stromal sarcoma, 9 cases of undifferentiated uterine sarcoma, and 24 cases of adenosarcoma; the menopausal status of the patients was summarized, including 41 (60.3%) postmenopausal and 27 (39.7%) premenopausal patients; their common MRI features were analyzed, including necrosis, hemorrhage, irregular or nodular tumor borders, and pelvic lymph node enlargement or peritoneal metastasis. By applying the <i>χ</i>²/Fisher test, an analysis is conducted on the distribution differences of MRI features across various menopausal statuses and different pathological subtypes, for multiple subgroup data with statistical significance, Bonferroni correction was applied for multiple comparisons. <b>Results</b>The differences in pelvic lymph node enlargement or peritoneal metastasis among patients with uterine sarcoma in different menopausal statuses are statistically significant (<i>P</i>&lt;0.05). However, necrosis, hemorrhage, and irregular or nodular tumor margins among patients with uterine sarcoma in different menopausal statuses do not show statistically significant differences (<i>P</i>&gt;0.05). Regardless of menopausal status, irregular or nodular tumor margins have statistical significance in differentiating various pathological types (<i>P</i>&lt;0.05), including comparisons between endometrial stromal sarcoma and adenosarcoma, and undifferentiated sarcoma and adenosarcoma in the menopausal state (<i>P</i>&lt;0.008 3, Bonferroni correction), and between endometrial stromal sarcoma and adenosarcoma in the premenopausal state (<i>P</i>&lt;0.008 3, Bonferroni correction). Necrosis, hemorrhage, pelvic lymph node enlargement, or peritoneal metastasis do not have statistical significance in differentiating among the pathological types (<i>P</i>&gt;0.05). In the menopausal group, the proportion of adenosarcoma patients experiencing pelvic lymph node enlargement or peritoneal metastasis is significantly higher than in the non-menopausal group, which is statistically significant (<i>P</i>&lt;0.05). <b>Conclusions</b>Among MRI features, changes in tumor border morphology have a certain diagnostic value for differentiating various subtypes of uterine sarcoma. Uterine adenosarcomas often present with regular, clear margins, whereas endometrial stromal sarcomas, undifferentiated sarcomas, and some leiomyosarcomas exhibit irregular or nodular tumor margins. Patients with adenosarcoma who have not yet reached menopause are more likely to exhibit lymph node or peritoneal metastasis compared to postmenopausal patients. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Preoperative prediction of FIGO stage of epithelial ovarian cancer based on T2-weighted MRI peritumoral and intratumoral radiomics models]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.015</link>
<description><![CDATA[<b>Objective</b>To investigate the accuracy and value of peritumoral and intratumoral radiomics models based on T2-weighted MRI in predicting the International Federation of Gynecology and Obstetrics (FIGO) stage of epithelial ovarian cancer (EOC). <b>Materials and Methods</b>A total of 189 EOC patients from Suzhou Municipal Hospital (Center I) and the First Affiliated Hospital of Soochow University (Center Ⅱ) were retrospectively collected, including 87 patients with FIGO stage I/Ⅱ and 102 patients with FIGO stage Ⅲ/Ⅳ. The data from Center I were used for model training, while the data from Center Ⅱ were used as an external validation set. The region of interest (ROI) was drawn based on the tumor boundary and extended outwardly by 2 mm, 4 mm, 6 mm, 8 mm, and 10 mm to obtain multiple peritumoral information. A total of 1223 radiomics features were extracted from both intra- and peritumoral regions. Univariate analysis, correlation analysis, minimum redundancy maximum relevance, and least absolute shrinkage and selection operator (LASSO) algorithm were employed for feature selection. The performance of peritumoral radiomics models with different peritumoral extension ranges was compared in the training set to determine the optimal extension for constructing the peritumoral model. Subsequently, both intratumoral and clinical models were developed. The combined model was constructed based on intratumoral, peritumoral, and clinical features using a nomogram. Each individual model was subsequently applied to the external validation set, and their diagnostic performance was assessed through receiver operating characteristic (ROC) analysis. The DeLong test was employed to compare the differences in diagnostic efficacy between these models. <b>Results</b>The peritumoral radiomics model demonstrated superior performance within an extended range of 2 mm, exhibiting an area under the ROC curve (AUC) of 0.840 in the training set. In the external validation set, the combined model exhibited optimal diagnostic performance, showcasing exceptional accuracy (74.2%), specificity (80.8%), and AUC (0.837). According to the DeLong test, the combined model significantly outperformed the peritumoral model (<i>P</i>=0.047). <b>Conclusions</b>The T2-weighted MRI-based peritumoral and intratumoral radiomics method demonstrated promising potential in effectively predicting the FIGO stage of EOC. Notably, the model combining peritumoral, intratumoral radiomics, and clinical information exhibits superior performance. This advanced model is anticipated to assist clinicians in accurately assessing patient conditions and devising personalized treatment plans. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Magnetic resonance diffusion tensor imaging evaluation of electroacupuncture and stem cell therapy for acute peripheral nerve injury in rats]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.016</link>
<description><![CDATA[<b>Objective</b>To evaluate the therapeutic effect of electroacupuncture and stem cell transplantation on acute peripheral nerve injury by magnetic resonance diffusion tensor imaging (DTI). <b>Materials and Methods</b>A total of 48 adult SD rats with successful modeling were randomly divided into an electroacupuncture (EA) group, a stem cell group and a control group, 16 rats in each group. The rats in the EA group were treated with EA at Huantiao (GB 30) and Zusanli (ST 36). Rats in the stem cell group were microinjected with 3μL saline suspension containing about 5×10<sup>5</sup> bone marrow mesenchymal stem cells under the epineurium at the injury site. The control group was microinjected with the same volume of saline. Multi-parametric magnetic resonance imaging [DTI and T2-weighted fat saturation (T2WI-FS)], histological evaluation and immunohistochemical analysis were used to monitor the changes of nerve structure (including nerve diameter, myelin sheath thickness and morphological changes, axonal continuity recovery). Somatic functional index (SFI) and gait trajectory analysis were used to evaluate the motor function of sciatic nerve. The differences of T2 value, DTI parameters [fractional anisotropy (FA), radial diffusivity (RD)] and SFI values among different experimental groups were analyzed by repeated measures one-way ANOVA. Bonferroni test was used to correct the threshold results of multiple testing at different time points. <b>Results</b>At the first week after acute peripheral nerve injury, the FA value of all groups decreased significantly, and then gradually increased, and returned to the normal level at the fourth week. The mean value of RD increased significantly within 1 week after surgery, then gradually decreased, and returned to the normal level at the 4th week. The recovery of rats in the EA group and the stem cell group was better than that in the control group at different time points (2-4 weeks) after operation, and the recovery in the EA group was the most significant (<i>P</i>&lt;0.001). T2WI-FS showed that at 1, 2, and 4 weeks after operation, the EA group and the stem cell group had significant differences in the speed of nerve edema regression compared with the control group (<i>P</i>&lt;0.001). The nerve diameter and T2 value increased significantly in the first week after operation, then gradually decreased, and returned to the normal level in the fourth week. Toluidine blue staining and SPRR1A axonal staining indicated that the nerve fiber continuity in the EA group recovered most rapidly, followed by the stem cell group. <b>Conclusions</b>The therapeutic effect of electroacupuncture on acute peripheral nerve injury is similar to that of stem cell transplantation, and it has great advantages in reducing edema and inflammatory response. DTI parameters FA and RD values are imaging markers of myelin integrity. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Effect on image quality of ultra-high b-values diffusion weighted imaging in patients with rectal cancer by using different bowel preparation methods]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.017</link>
<description><![CDATA[<b>Objective</b>To investigate the effect of image quality of ultra-high b-values diffusion weighted imaging (DWI) with b=2000 s/mm<sup>2</sup> (DWI<sub>b2000</sub>) and routine DWI with b=1000 s/mm<sup>2</sup> (DWI<sub>b1000</sub>) by different bowel preparation (drinking folium sennae soup or dietary restrictions) in patients with rectal cancer (RC). <b>Materials and Methods</b>The DWI (DWI<sub>b1000</sub> and DWI<sub>b2000</sub>) image quality and related factors were analyzed in 203 patients with RC between the bowel preparation group with folium sennae soup and the dietary restrictions groups. The bowel preparation metrics (rectal dilatation, rectal contents, amount of gas in rectum and amount of gas around the tumor) and magnetic susceptibility artifacts (overall artifacts and artifacts of the tumor area) were independently assessed in the DWI<sub>b1000</sub> and DWI<sub>b2000 </sub>by two radiologists. Between-group comparisons of bowel preparation metrics and DWI artifacts were calculated using Mann-Whitney <i>U</i> test or <i>t</i>-test. Subsequently, DWI<sub>b2000</sub> artifact scores of less than or equal to 3 score in the tumor area was defined as clinical relevant artifacts. Univariate and multivariable logistic regression was used to assess related factors (bowel preparation methods, age, gender, tumor location, tumor circumferential percentage and thickness of posterior rectal mesentery) for DWI<sub>b2000</sub> clinical relevant artifacts. <b>Results</b>Inter-reader agreement was good [intra-class correlation coefficient (ICC) &gt;0.70]. The rectal contents, amount of gas in rectum and amount of gas around the tumor in the bowel preparation group with folium sennae soup were higher than those of the dietary restriction groups (<i>P</i>&lt;0.05), respectively. The degree of overall artifacts and artifacts of the tumor area (DWI<sub>b1000</sub> and DWI<sub>b2000</sub>) in the bowel preparation group with drinking folium sennae soup were significantly higher than those of the dietary restriction groups (<i>P</i>&lt;0.05), respectively. In the same bowel preparation group, the degree of overall artifacts and artifacts of tumor area in DWI<sub>b2000</sub> were significantly higher than those of DWI<sub>b1000</sub> (<i>P</i>&lt;0.01), respectively. Multivariable logistic regression analysis demonstrated that the bowel preparation method was an independent related factor for DWI<sub>b2000 </sub>clinical relevant artifacts in tumor area (OR=3.463, 95% <i>CI</i>: 1.738-6.901, <i>P</i>&lt;0.001). <b>Conclusions</b>Compared with the dietary restriction group, patients with bowel preparation by drinking folium sennae soup can obtain good bowel preparation quality, reduce the DWI artifacts and improve the image quality of DWI<sub>b1000</sub> and DWI<sub>b2000</sub>. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Uncommon imaging features in patients with autoimmune pancreatitis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.018</link>
<description><![CDATA[Autoimmune pancreatitis (AIP) is a special type of inflammation of the pancreas, its common imaging features have been well known by radiologists and have served as the indispensable evidence for establishing the diagnosis of AIP. Whereas we have also found that in addition to the common imaging features in clinical practice, AIP sometimes presents with uncommon imaging features such as the pancreatic duct dilation, pancreatic cystic lesions, involvement of peripancreatic blood vessels, pancreatic calcification and pancreatic duct stones, marked pancreatic parenchymal atrophy within one year following steroids treatment, concurrent malignant tumors, and so on. In order to deepen comprehensive recognition for the imaging manifestations of AIP, this article introduced the uncommon CT and MRI findings of AIP. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in the application of susceptibility weighted imaging in brain gliomas]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.020</link>
<description><![CDATA[Gliomas are the most common malignant tumors of the central nervous system. Their differential diagnosis, preoperative pathological grading, genetic typing, preoperative planning, and postoperative efficacy evaluation are of great significance for the implementation of personalized treatment. Susceptibility weighted imaging (SWI) is a technology that uses the differences in magnetic susceptibility between different tissues to create images, which can clearly show draining veins and hemorrhagic products within gliomas. This review introduces the basic technical principles of SWI, as well as its applications and research progress in the diagnosis, treatment, and radiomics of gliomas, providing more reference points for the diagnosis, treatment, and prognosis assessment of gliomas. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Progress in multimodal MRI research on acupuncture at Siguan point for the treatment of mild cognitive impairment]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.021</link>
<description><![CDATA[Mild cognitive impairment (MCI) is the early stage of Alzheimer<sup><sup>,</sup></sup>s disease (AD), characterized by decreased learning and memory abilities, with no impact on daily life. Acupuncture at Siguan point has a definite therapeutic effect on MCI and is widely used in clinical practice; acupuncture can improve cognitive function, but the principle of action is complex. Multimodal MRI provides visual support for the study of brain effects and efficacy assessment of acupuncture at the Siguan point in the treatment of MCI due to its advantages of precise localization and real-time observation of abnormal brain regions.In this article, structural MRI (sMRI), diffusion tensor imaging (DTI), blood oxygen level dependent functional magnetic resonance imaging (BOLD-fMRI), magnetic resonance spectroscopy (MRS), and arterial spin labeling (ASL) were introduced to review the literature on cerebral structure, function, metabolism and blood perfusion of MCI treated by acupuncture at Siguan point. The intracerebral changes of MCI were discussed from multiple perspectives and the mechanism of acupuncture treatment was analyzed, it provides new ideas for the follow-up research of MCI. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of multimodal MRI technology in multiple sclerosis complicated with depression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.022</link>
<description><![CDATA[Depression is one of the most common mental disorders in patients with multiple sclerosis, which seriously affects the quality of life and prognosis of patients. Influenced by many pathogenic factors, its pathophysiological mechanism is not clear. With the development of neuroimaging, structural MRI and functional MRI are widely used in the study of mental disorders. This review describes the imaging research progress of multimodal MRI in multiple sclerosis with depression, and provides objective imaging evidence for the pathophysiological mechanism of multiple sclerosis with depression. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in resting-state fMRI studies of depression in children and adolescents]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.023</link>
<description><![CDATA[Childhood and adolescent depression is a serious mental health problem that affects the way children and adolescents thinks, feels, and behaves, and can lead to emotional, functional, and physical problems. The etiology and pathophysiologic mechanisms of depression are unknown, and currently, MRI is one of the main methods to study its etiology and pathophysiologic mechanisms. Functional MRI (fMRI) reflects real-time changes in brain function and can be used to explore the functional activity of relevant brain regions in children and adolescents with depression. Resting-state fMRI (rs-fMRI) is currently a popular research technique for studying neuroimaging, which provides imaging support for exploring the functional alterations of abnormal brain regions in children and adolescents with depression. In this paper, we briefly summarize the results and potential shortcomings of rs-fMRI studies of adolescent depression in recent years, aiming to provide directions for future research. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Dynamic functional connectivity in autism spectrum disorders: applications and research advances]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.024</link>
<description><![CDATA[Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder resulting from impaired information flow in human brain systems, highly heritable and associated with impaired dynamic functional connectivity (DFC). Individuals with ASD are one of the more far-reaching child psychiatric disorders, and the families of diagnosed children are faced with multiple stressors and challenges from financial, emotional, and social perspectives. Previous research on ASD has been based on resting-state functional connectivity (SFC),  but SFC has largely failed to take into account the presence and potential of temporal variability to impact brain function. In recent years, DFC has been widely used in ASD studies because it can accurately capture the fluctuations of functional connectivity  (FC) over time and reveal the transitions between different FC states. In this paper, we review some common and newer methods of DFC, such as the sliding-window (SW) , the hidden Markov model (HMM), and the leading eigenvector dynamics analysis (LEiDA), as well as the applications and recent research progress of these methods in ASD, and summarize and compare the advantages and shortcomings of these methods. This review expects to provide a new way for early diagnosis and personalized treatment of ASD by summarizing the DFC methods and their applications. By analyzing DFC patterns, researchers are able to identify specific connective features associated with ASD, and are expected to develop DFC-based biomarkers to improve the diagnostic accuracy and reliability of ASD. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress in PET/MR for diagnosis of Alzheimer<sup><sup>,</sup></sup>s disease within ATN framework]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.025</link>
<description><![CDATA[Alzheimer<sup><sup>,</sup></sup>s disease (AD), a leading cause of dementia, emphasizes the critical importance of early diagnosis for timely intervention and disease progression mitigation. In 2018, the National Institute of Aging and Alzheimer<sup><sup>,</sup></sup>s Association (NIA-AA) introduced the ATN (amyloid/tau/neurodegeneration) diagnostic criteria for AD, which has garnered extensive clinical acceptance and utilization. This article offers a comprehensive review of the applications of positron emission tomography (PET), magnetic resonance imaging (MRI), and integrated positron emission tomography-magnetic resonance imaging (PET/MR) in the ATN diagnostic framework, and explores the profound advantages of multi-probe, multi-modal PET/MR in diagnosis. The objective is to provide researchers with novel perspectives and references for further investigation, drive the clinical application of PET/MR for AD patients, and furnish clinicians with crucial imaging evidence to support their practice ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress on the glymphatic system of patients with central nervous system diseases based on diffusion tensor image analysis along the perivascular space]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.026</link>
<description><![CDATA[The glymphatic system (GS) is an emerging perspective in exploring the physiological and pathological mechanisms of central nervous system diseases in recent years. Research has confirmed that the diffusion tensor image analysis along the perivascular space (DTI-ALPS) method can effectively evaluate the functional changes of the GS in patients with central nervous system diseases, especially in degenerative central nervous system diseases, such as epilepsy, Parkinson<sup><sup>,</sup></sup>s disease, and dementia. This article reviews the current research status of applying DTI-ALPS technology to evaluate GS function in patients with central nervous system diseases, aiming to provide new directions for neuroimaging research. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Progress in MRI in peritumoral brain zone of brain tumors]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.027</link>
<description><![CDATA[Tumors are not single-growing tissues, and the specific tumor microenvironment surrounding them is closely related to their development. Peritumor brain area refers to the adjacent brain area around the primary tumor lesion, and radiologically it usually includes peritumor brain parenchyma and peritumor edema area. Fully understanding and mining the potential radiological information of tumor and peritumoral brain area will benefit the scientific research and clinical diagnosis and treatment of tumor. In this article, we elucidate the definition and formation mechanism of the peritumor brain zone, and review the progress of magnetic resonance imaging-based techniques, including diffusion imaging, perfusion imaging, magnetic resonance spectroscopy, amide proton transfer-weighted imaging, and radiomics, in the application of the peritumor brain zone to intracranial tumors. The aim of this review is to provide new ideas for differential diagnosis, genomolecular typing, exploration of intraoperative resection range, prognosis prediction and monitoring of therapeutic efficacy of intracranial tumors. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of MRI radiomics in pituitary neuroendocrine tumors]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.028</link>
<description><![CDATA[Pituitary neuroendocrine tumors (PitNETs) are the most common tumors in the sella region. MRI, as the gold standard for the evaluation of pituitary neuroendocrine tumors, has made great contributions to the macroscopic evaluation of pituitary neuroendocrine tumors. In recent years, the continuous development of radiomics has provided new possibilities for the microscopic evaluation of tumors, and has shown good efficacy in the accurate/differential diagnosis, preoperative evaluation and prognosis prediction of pituitary neuroendocrine tumors. In this paper, the current research status of MRI radiomics in pituitary neuroendocrine tumors in recent years was reviewed, in order to provide reliable imaging basis for the formulation of clinical diagnosis and treatment protocols and comprehensive evaluation of tumors, and to guide future clinical practice and research direction. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[The principle of oscillating gradient spin echo in diffusion magnetic resonance imaging and its application in gliomas]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.029</link>
<description><![CDATA[Gliomas are the most common primary central nervous system tumors in adults with high mortality rate and strong invasiveness. The tumor grading and genetic phenotype heterogeneity of gliomas will affect the formulation of treatment plans and prognosis inference. Post-treatment efficacy evaluation and early diagnosis of tumor recurrence can help improve patient survival. Diffusion magnetic resonance imaging based on oscillatory gradient spin echo (OGSE) is a novel diffusion MRI technique that has broad application prospects in the imaging diagnosis of gliomas by detecting microstructure features, such as cell diameter, cell density, intracellular and extracellular volume fraction. This paper reviewed the technical principles of OGSE imaging, research progress in classification, prediction of molecular type, response evaluation and differential diagnosis of brain glioma and limitations of OGSE imaging applications, providing a new perspective for preoperative diagnosis and postoperative evaluation of glioblastoma. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of magnetic resonance diffusion tensor imaging in glioma grading and genotype prediction]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.030</link>
<description><![CDATA[Glioma is the most common intracranial primary malignant tumor, and the treatment and prognosis of different grades and genotypes of glioma are obviously different. Diffusion tensor imaging (DTI) can reflect the pathological changes of the brain microstructure, especially the white matter tracts. Many scholars have studied the diagnostic value of DTI for glioma grading and genotyping. This article mainly reviews the research progress of quantitative metrics and radiomics model based on DTI which has been used to predict glioma grade and genotype, in order to provide imaging help for individualized diagnosis and treatment plans and prognosis prediction of glioma patients. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of magnetic resonance imaging in tinnitus]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.031</link>
<description><![CDATA[As one of the most common symptoms in otolaryngology, tinnitus seriously affects the quality of life of millions of people. The mechanism of tinnitus is very complex, and there is currently a lack of standardized and individualized treatment. Magnetic resonance imaging can further explore the pathogenesis of tinnitus from different perspectives such as microstructure and function, which is of great value for studying the pathogenesis and providing new treatment options. This article reviews the application value and latest research progress of magnetic resonance imaging in tinnitus, aiming to provide help for further research on the related mechanisms of tinnitus. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of functional magnetic resonance imaging and artificial intelligence in evaluating the staging of nasopharyngeal carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.032</link>
<description><![CDATA[Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumors of the head and neck, and accurate staging is helpful to guide the implementation of individualized treatment plan. At present, NPC staging mainly depends on magnetic resonance imaging (MRI), while conventional MRI can only be staged according to the morphological changes of tumor, which is highly subjective. Dynamic contrast-enhanced MRI, diffusion-weighted imaging, intravoxel incoherent motion imaging, diffusion kurtosis imaging and other MRI functional imaging technologies make the staging evaluation of NPC more objective through quantitative measurement, but at present, these technologies and their parameter values have not yet formed a unified standard for the staging evaluation of NPC. Artificial intelligence excavates more information from images and has a good application prospect in the future. We reviewed the value of these techniques in evaluating NPC staging in this paper, in order to provide a reliable basis for clinical diagnosis and treatment, and provide a reference direction for future research. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of MRI radiomics in the efficacy evaluation and prognosis of neoadjuvant therapy for breast cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.033</link>
<description><![CDATA[The incidence of breast cancer has jumped to the top of the global neoplastic lesions,and the incidence is still on the rise. Neoadjuvant therapy (NAT) has been widely used as the first-line treatment for patients with locally advanced breast cancer. Magnetic resonance imaging (MRI), with its good soft tissue and spatial resolution, is increasingly important in assessing lesion extent, early diagnosis, efficacy prediction, and prognostic assessment. MRI-based radiomics can analyze internal texture features that cannot be distinguished by the naked eye, which has great advantages in assessing tumor heterogeneity. Studies have demonstrated the advantages and disadvantages of MRI assessment at different time points of the NAT course in breast cancer, with multi-temporal assessment being more advantageous than single-temporal. The aim of this review is to investigate the current research status, controversies and application prospects of longitudinal temporal MRI images for evaluating neoadjuvant efficacy with the support of imaging histology, as well as the unique advantages of MRI imaging histology for predicting the long-term prognosis of neoadjuvant therapy in breast cancer patients. This study suggests the superiority of the multiseries longitudinal imaging histology model to evaluate tumor response, and provides ideas for more analysis methods of imaging histology in the future. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Advances in application of four dimensional flow MRI in liver diseases]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.034</link>
<description><![CDATA[Liver blood flow is affected by its complex vascular anatomy, slow blood flow velocity, and human respiratory movement, which is difficult to evaluate liver blood flow by ultrasound, CT, and two dimensional phase contrast MRI (2D PC MRI). Four dimensional flow MRI (4D Flow MRI) can not only visualize the complex blood flow distribution of the liver, but also quantify hemodynamic abnormalities, which is an important imaging tool for evaluating liver hemodynamics. This article mainly introduces the technical principle of 4D Flow MRI and its current application in liver diseases, in order to provide a more comprehensive imaging basis for clinical understanding of the disease progression and efficacy evaluation of related diseases, and provide reference for future research direction. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research progress of CT and MRI with radiomics to predict microsatellite instability in colorectal cancer]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.035</link>
<description><![CDATA[Colorectal cancer is a common malignant tumor of the digestive tract with high mortality, and its pathogenesis is closely related to the genetic changes of tumor cells. Microsatellite instability (MSI) is a common genetic change that causes colorectal development and plays a crucial role in the development and progression of tumors and in the treatment and prognosis of patients. In recent years, medical imaging methods with the advantages of non-invasiveness and individualization have begun to make initial progress in evaluating high MSI (MSI-H) status in colorectal cancer. With the continuous optimization of software technology and the rise of artificial intelligence, computed tomography (CT) and MRI with radiomics methods have become increasingly important in the preoperative prediction, treatment, efficacy monitoring, and prognosis assessment of MSI-H status in colorectal cancer. This review aims to summarize the advantages and prospects of CT and MRI techniques and radiomics methods in predicting the MSI-H status of colorectal cancer, to provide more accurate and non-invasive MSI prediction methods for clinical practice, and provide new ideas for the selection of treatment measures for colorectal cancer patients. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Research Progress of ultra-high-field magnetic resonance imaging in musculoskeletal system]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.036</link>
<description><![CDATA[Ultra-high-field MR (UHF-MR) has been a hot spot in clinical research for disease diagnosis and fine structure display. However, due to its inherent characteristics, the research of 7 T UHF-MR is mainly focused on the central nervous system and some musculoskeletal diseases. The advent of 5 T UHF-MR seems to bring new possibilities for ultra-high-field imaging of musculoskeletal and systemic systems. This paper focuses on reviewing the impact of the inherent physical properties of UHF-MR on the diagnosis of musculoskeletal system diseases, as well as the clinical research advancements of UHF-MR in musculoskeletal diseases. The aim is to enhance physicians<sup><sup>,</sup></sup> understanding of UHF-MR, broaden researchers<sup><sup>,</sup></sup> perspectives, further promote the development of novel contrast agents, the application of multimodal imaging techniques, and the integration of artificial intelligence-assisted diagnosis, thereby facilitating the clinical translation and application of UHF-MR in musculoskeletal system diseases. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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<title><![CDATA[Principles and clinical advances of magnetic resonance spin lock imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.06.037</link>
<description><![CDATA[Magnetic resonance spin-locked imaging (T1ρ imaging) can detect changes in tissue metabolism and biochemical information at the molecular level, the T1ρ value is more sensitive than the T1 and T2 values to reflect the low-frequency movement between water molecules and macromolecules. In recent years, researchers have continuously improved this sequence and gradually applied it to a variety of diseases including osteoarthritis, intervertebral disc degeneration, cardiomyopathy, liver fibrosis, renal fibrosis, Alzheimer<sup><sup>,</sup></sup>s disease, multiple sclerosis, and brain gliomas. This article will review the principles of T1ρ imaging, factors influencing T1ρ values, and the current research status of clinical applications of T1ρ imaging, aiming to promote the continuous maturity of T1ρ technology and assist in guiding clinical diagnosis and treatment. ]]></description>
<pubDate>Thu,20 Jun 2024 00:00:00  GMT</pubDate>
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