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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=202210</link>
<language>zh-cn</language>
<copyright>An RSS feed for Chinese Journal of Magnetic Resonance Imaging</copyright>
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<title><![CDATA[Opportunities and challenges of magnetic resonance imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.001</link>
<description><![CDATA[MRI is a multi-sequence and multi-parameter imaging technology, which plays an irreplaceable role in early diagnosis, treatment decision, efficacy assessment, and condition monitoring of diseases. Since the 18th National Congress, with the improvement of MR equipment and technology, the research of MRI has entered a period of comprehensive prosperity, especially the rise of domestic equipment, MRI achieved dissemination and begun to be in line with international standards. This paper reviews the development and research trend of MRI in China in the past decade from three aspects: MRI equipment, clinical application and future.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of pediatric magnetic resonance imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.002</link>
<description><![CDATA[The "Health China 2030" outlines is focusing on the whole population and the whole life cycle for building a healthy China, strengthening health services for key populations and improving maternal and child health. MRI is a non-invasive, non-ionizing radiation imaging method with good soft tissue contrast, is playing an irreplaceable role in the diagnosis of pediatric diseases. With the improvement of equipment, technological development and innovative research of radiologists, pediatric MRI in China has entered a high-speed development stage in the past ten years. MRI has achieved excellent results in fetal MRI, pediatric central nervous system MRI, pediatric chest MRI, pediatric abdominal MRI, pediatric musculoskeletal MRI and artificial intelligence (AI), providing reference information and playing an important value for the diagnosis and treatment of pediatric diseases and prognosis assessment. The future of pediatric MRI: (1) To further optimize the sequence of pediatric MRI examination, reduce the scanning time and improve the compliance of pediatric MRI examination, and develop pediatric-specific MRI, pediatric-specific receiving coilto achieve safe and high-contrast silent scanning for infants and children; (2) To establish the MRI database and related standard values or intervals for normal children in China as soon as possible; (3) To carry out multi-center collaborative research and jointly compile the Expert Consensus Series on MRI for Pediatric Disease Spectrum in China actively; (4) To conduct MRI research in key areas such as birth defects, fetus and placenta, pediatric brain science, pediatric tumor, and genetic metabolism; (5) To actively engaged in research and clinical promotion of pediatric MRI AI. The purpose of this review is to summarize the achievements of pediatric MRI in China in the past ten years, analyze the current situation, identify gaps, and propose future directions to promote high-quality development of pediatric imageology in China.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of musculoskeletal imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.003</link>
<description><![CDATA[Since the 18th National Congress of the Communist Party of China, musculoskeletal imaging has ushered in rapid development. Relying on the promotion of national policies, the popularization of national fitness, the improvement of people<sup><sup>,</sup></sup>s health awareness, the help of the Musculoskeletal Group of Chinese Society of Radiology the development of professional courses and lectures, and the continuous emergence of scientific research results, musculoskeletal imaging has received more and more attention. The influence of the discipline is continuously improved, and the professional ability of radiologists is continually improved. With the update of MRI hardware facilities, the development of accessories, and the development and application of related technologies, the clinical value and application scope of musculoskeletal imaging have continued to increase, benefiting more and more patients. Musculoskeletal imaging plays an irreplaceable role in the identification, diagnosis, differential diagnosis and quantitative analysis of various musculoskeletal diseases. It provides valuable information for clinical diagnosis and treatment, assists clinical decision-making, and is an indispensable inspection method for accurate medical treatment. Nevertheless, musculoskeletal imaging still has great potential for improvement in many aspects, such as postoperative efficacy evaluation, artificial intelligence (AI)-aided diagnosis, early disease screening, etc. The past ten years have been an important stage in the development of musculoskeletal imaging. The increase in the penetration rate of MRI equipment, the development of different diagnostic techniques, and the emergence of AI-enabled intelligent medical care have all provided opportunities for the development of musculoskeletal imaging. It is believed that shortly, musculoskeletal imaging will be able to break new ground, forge ahead, continue to improve and make more outstanding contributions to the national health strategy and the people<sup><sup>,</sup></sup>s health.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of functional magnetic resonance imaging for human brain research: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.004</link>
<description><![CDATA[Due to the advantages of non-invasiveness, balanced spatial and temporal resolution, high repeatability, and whole-brain imaging, functional magnetic resonance imaging (fMRI) technology provides a promising tool for the exploration of the neurobiological mechanisms of brain cognition, brain development, and brain aging, and also exhibits great clinical value for the investigation of the pathology and clinical assessment of brain disorders. In the last decade, the Chinese government has funded a large number of research projects on fMRI brain imaging and has achieved a series of original achievements and breakthroughs in neuroscience, neuroimaging, psychiatry, and other disciplines. Future research directions worthy of attention include quality control and harmonization of multi-center imaging big data, the acquisition of high-spatial-temporal resolution data using high-field-strength scanners, the implementation of clinical applications such as diagnosis and treatment evaluation, and the industrialization of brain science. We reviewed the achievements made by domestic scholars in the field of fMRI in the past decade, including the computational analysis method and software platform for fMRI brain images, the application of fMRI brain images in brain cognition, brain development, brain aging, and brain disorders, and the outlook on the important directions of fMRI in the future in this paper. The purpose of this review is to sort out and comment on the important scientific research achievements in the field of fMRI research in China, and to provide a reference for researchers in this field.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of diffusion spectrum magnetic resonance imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.005</link>
<description><![CDATA[Diffusion spectrum imaging (DSI) is an emerging advanced diffusion magnetic resonance imaging (dMRI) technology in recent years. Technologically, DSI is reconstructed model-freely, which applies the probability density function (PDF) to acquire diffusion signals in the entire q-space of water molecules within the voxels of human tissues, and uses high angular resolution to accurately detect the information of intricate crossing fibers within the tissues in vivo. DSI fiber tracking is currently the most reliable technique for tracking brain white matter fiber bundles. Conventional dMRI technology can only reflect part of the pathophysiological information of a certain disease. DSI technology can integrate multiple diffusion models into one model and ultimately obtain more comprehensive pathophysiological information of a certain disease. To date, the clinical application of DSI technology has been extended from brain diseases to body diseases initially and show good promise in the diagnosis and evaluation of diseases. However, the DSI technology has certain requirement of hardware of MRI unit. There are still some challenges on the genuinity and quantification of tractography derived from DSI. The optimized selection and combination of advanced diffusion models in certain disease remain to be determine through extended clinical application of DIS in the future. The postprocess technique of DSI is still necessary to be automatized and produced for promoting its wide clinical application in the diagnosis and therapy of different diseases. Herein, the achievements of Chinese scholars in the research of central nervous system diseases and body diseases by using DSI technology in the past decade were reviewed and the current challenges and future direction of DSI were summarized. The purpose is aimed to provide reference for better development of DSI technology and promote its extensive application in clinic.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of non-contrast-enhanced magnetic resonance imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.006</link>
<description><![CDATA[Over the past decade, with the development of magnetic resonance software and hardware, non-contrast-enhanced magnetic resonance imaging sequences have also been continuously developed and refined. Due to the advantages of non-invasiveness, non-radiation, and no need to inject contrast agents, this technology has gained widespread attention and promotion. The combination with the MRI acceleration technology further shortens the scan time and relieves the suffering of intolerant patients. Non-contrast-enhanced magnetic resonance imaging has become a common method for evaluating vascular problems today. This paper reviews the basic principles, advantages and disadvantages, clinical applications and latest progress of non-contrast-enhanced magnetic resonance imaging sequences from the two entry points of bright blood technology and black blood technology.Based on the current shortcomings, the simultaneous reconstruction of multiple contrast images in a single scan and the combination of 3D black blood sequence with electrocardiogram gating and respiratory gating will be a major research direction in the future. Multi site and even whole body non-contrast-enhanced magnetic resonance angiography combined scanning will also become a trend.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of cerebrovascular imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.007</link>
<description><![CDATA[Cerebrovascular disease is a critical health problem in China due to its high incidence, long duration, and high morbidity and mortality. With the rapid iteration of medical equipment and imaging techniques, radiology has played an important role in the precise diagnosis, treatment, risk stratification, and prognosis assessment of cerebrovascular disease. It has already played an indispensable role in clinical work of cerebrovascular disease. In recent years, early detection and treatment of cerebrovascular diseases have gradually become the health consensus of the whole society, and cerebrovascular imaging technology is moving towards a more standardized, optimized, and convenient direction for strategy configuration. Meanwhile, the introduction of advanced data processing technology of cerebrovascular disease provides more information about the structure and function of cerebrovascular disease and improves the comprehensive evaluation of cerebrovascular disease. In the past decade, in the face of the wave of continuous innovation of new technologies, China<sup><sup>,</sup></sup>s neuroradiologists have been promoting the diagnosis, treatment, prevention, and scientific research of cerebrovascular diseases towards a more precise and scientific direction. Further research on cerebrovascular imaging based on clinical scientific issues will further enhance China radiology<sup><sup>,</sup></sup>s influence in the world.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of pulmonary magnetic resonance imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.008</link>
<description><![CDATA[The lung MRI technology has been a great challenge in medical treatment for a long time. In the past 10 years, thanks to the rapid development of technology, MRI has great potential in the application of structural and functional imaging assessment of pulmonary diseases. Fast 4D acquisition with free breath, microstructure functional imaging and AI based on the clinical management strategy would be the potential research. In this review, we focus on the currently available MR functional imaging, quantitative imaging, new technologies independently developed in China and the application of artificial intelligence for pulmonary MRI, comparing with the international research, to find out the potential research in the future, in order to provide reference for the research and continuous innovation of lung MRI technology in China.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of cardiovascular magnetic resonance imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.009</link>
<description><![CDATA[In the past decade, cardiovascular magnetic resonance (CMR) imaging, as a gold standard for noninvasive assessment of cardiac structure and function, has played an important role in the clinical diagnosis and treatment of cardiovascular diseases in China. With the advent of new techniques such astissue characterization imaging, feature tracking technology, diffusion-weighted imaging, radiomics and artificial intelligence, CMR provides new opportunities for precise diagnosis and treatment of cardiovascular system diseases. Several domestic hospitals have used CMR to accurately evaluate ischemic heart disease, non-ischemic heart disease, macrovascular disease, etc., and have obtained a series of research results. We believe that CMR will achieve greater research results in tissue characterization imaging, radiomics and artificial intelligence, molecular imagingas well as early diagnosis, risk stratification, and prognostic evaluation of the disease in the future. We summarized the clinical and scientific research progress in the field of CMR in China in the past ten years, and looks forward to the future development direction in this paper, in order to provide relevant reference for the research of CMR technology and clinical research.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Opportunities and challenges of liver cancer imaging: Achievements and prospects over the past decade in China]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.010</link>
<description><![CDATA[Primary liver cancer is a prevalent and lethal malignancy in China, constituting a major public health problem. Noninvasive imaging techniques play an important role throughout the entire clinical workflow of liver cancer. Remarkable achievements have been made by Chinese scholars in liver cancer imaging research over the past decade. The rapid advancements in artificial intelligence (AI), ultra-high magnetic field and hyperpolarized MRI, spectral CT provide reliable technical support for screening, diagnosis, and treatment decision-making of liver cancer patients. Furthermore, the fusion of multi-omics techniques (radiomics, genomics, and proteomics) further reveals the correlations between key clinical, radiological, pathological, and molecular alterations in liver cancer. This paper summarizes major achievements by Chinese scholars in liver cancer imaging over the last ten years, primarily focusing on MRI-based Liver Imaging Reporting and Data System (LI-RADS) modification, hepatobiliary contrast agent application, advancements in diffusion-MRI, functional MRI and CT technologies, and radiomics and AI. We also reflect on limitations of existing works in this field.In the future, it is necessary to carry out targeted research design according to the characteristics of domestic patients and population features, establish multi-center study cohort covering a wide range of populations and strong representation, and build homogeneous and high-quality national imagedatabaseof liver cancer. Furthermore, we should pay attention to the development and application of new imaging technology, scholars can use AI combined with radiomics, genomics and proteomics to in-depth study the pathological characteristics, gene phenotype and prognosis of liver cancer, deeply participate in the whole process of clinical management of liver cancer patients, provide technical support for precision medicine, and help achieve the strategic goal of national health.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Comparative analysis of white matter fiber changes of chronic stable schizophrenia treated with risperidone and clozapine]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.011</link>
<description><![CDATA[ObjectiveTo compare the characteristic differences of white matter fiber between patients with chronic stable schizophrenia treated with risperidone and clozapine.Materials and MethodsMagnetic resonance diffusion tensor imaging (DTI) data were collected from 27 never-treated chronic schizophrenia patients with more than 5 years illness duration, 20 patients with risperidone monotherapy, 17 patients with clozapine monotherapy for more than 5 years, and 24 healthy controls in West China Hospital of Sichuan University from January 2010 to August 2018. FSL software was used to extract the anisotropy fraction (FA) and mean diffusivity (MD) values of the four groups. Covariance analysis was used for FA and MD values between the four groups. FDR was used for multiple comparison correction. FA and MD were correlated with clinical symptom scores, drug dose, and illness duration.ResultsCompared with healthy control group, the never-treated group and clozapine-treated group showed decreased FA and increased MD value (<italic>P</italic>＜0.05), the risperidone-treated group showed decreased FA values of 17 fiber tracts (<italic>P</italic>＜0.05) except left uncinate tracts and double arcuate tracts (<italic>P</italic>＞0.05), while MD values had no significant difference (<italic>P</italic>＞0.05). Compared with the never-treated group, the risperidone-treated group showed significantly increased FA values of the other 18 fasciculus (<italic>P</italic>＜0.05) except the left arcuate fasciculus and right superior longitudinal fasciculus (<italic>P</italic>＞0.05), and decreased MD values involving bilateral corticospinal tract, bilateral cingulate cingulate pathway, bilateral inferior fronto-occipital tract, left anterior thalamic radiation, left cingulate cingulate pathway, left inferior longitudinal tract, left superior longitudinal tract, right uncinate tract, the splenium and the genu of the corpus callosum (<italic>P</italic>＜0.05). There were no significant differences in FA and MD between the clozapine-treated group and never-treated group (<italic>P</italic>＞0.05). Compared with the clozapine-treated group, the risperidone-treated group showed significantly increased FA values involving bilateral anterior thalamic radiation, bilateral inferior fronto-occipital fasciculus, bilateral inferior longitudinal fasciculus, left corticospinal tract, left uncinate fasciculus, right arcuate fasciculus, right cingulum-hippocampus pathway, the splenium and the genu of the corpus callosum, and significantly decreased MD values involving bilateral inferior frontal-occipital tract, bilateral uncinate fasciculus, left inferior longitudinal fasciculus and right cingulum-hippocampus pathway (<italic>P</italic>＜0.05). The severity of symptoms in the patients with chronic schizophrenia was negatively correlated with the FA value and positively correlated with the MD value (<italic>P</italic>＜0.05).ConclusionsPatients with chronic schizophrenia with clozapine monotherapy showed more severe and extensive white matter microstructure defects than patients with risperidone monotherapy, suggesting that different antipsychotics had different effects in white matter characteristics.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on topology properties of white matter structure network in patients with amyotrophic lateral sclerosis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.012</link>
<description><![CDATA[ObjectiveTo investigate the relationship between the integrity of brain structural network and motor and cognitive function in patients with amyotrophic lateral sclerosis (ALS).Materials and MethodsTwenty-five ALS patients (ALS group) and twenty-six healthy subjects (healthy control group) matched in gender and age were prospectively collected pertaining to clinical data, neuropsychological scales and magnetic resonance diffusion tensor imaging (DTI) data. The whole brain structure network was constructed, and based on the graph theory, the differences between the ALS group and the healthy control group were compared. Pearson correlation analysis was further used to observe the changes of the structure network parameters and the correlation between the cognitive and motor function test scales.ResultsThe local efficiency of white matter structure network in patients with ALS increased, and the Characteristic path length increased significantly (<italic>P</italic>＜0.05). The node efficiency of frontal lobe, anterior cingulate gyrus, thalamus and other brain regions increased (<italic>P</italic>＜0.05), the betweenness centrality of right anterior central gyrus, left wedge lobe and left posterior central gyrus decreased (<italic>P</italic>＜0.05), but the betweenness centrality of left superior frontal gyrus and left inferior frontal gyrus increased (<italic>P</italic>＜0.05). There was a negative correlation between the betweenness centrality of the left inferior frontal gyrus pars operculariscan and the ALSFAR-R score (<italic>r</italic>=-0.514, <italic>P</italic>=0.012).ConclusionsThe abnormal changes of the structure network of motor brain and extramotor brain in ALS patients may provide imaging basis for the diagnosis and prognosis evaluation of brain injury.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[High-resolution MRI feature of transient ischemic attack patients and its correlation with ABCD3 score]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.013</link>
<description><![CDATA[ObjectiveTo investigate the differences in plaque characteristics between different ABCD3 scores and the correlation between ABCD3 scores and plaque characteristics in patients with transient ischemic attack (TIA) based on high-resolution MRI (HR-MRI).Materials and MethodsSeventy-two patients underwent HR-MRI with TIA were retrospectively analyzed, which were divided into a low-intermediate risk group (ABCD3 score＜6) and a high-risk group (ABCD3 score≥6). Two experienced radiologists independently identified plaque characteristics. Vascular area and lumen area, stenosis rate, normalized wall index (NWI), and remodeling index (RI) of the plaque or reference lumen were measured and calculated. Plaque enhancement was quantified according to the enhancement ratio (ER) after contrast: grade 0 (ER<sub>plaque</sub>≤ER<sub>reference vessel wall</sub>), grade 1 (ER<sub>reference vessel wall</sub>＜ER<sub>plaque</sub>＜ER<sub>pituitary infundibulum</sub>) and grade 2 (ER<sub>plaque</sub>≥ER<sub>pituitary infundibulum</sub>). Differences of clinical and plaque characteristics between groups were compared using <italic>t</italic>-test, Mann-Whitney <italic>U</italic> test, or chi-square test. Correlations between plaque characteristics and ABCD3 scores were analyzed by Spearman rank correlation or Pearson correlation.ResultsSeventy-two patients underwent HR-MRI with TIA were retrospectively analyzed, the NWI and RI in the high-risk group (<italic>n</italic>=39, 54.17%) were significantly higher than those in the low-to-intermediate-risk group (<italic>n</italic>=33, 45.83%) [0.86 (0.76, 0.92) vs. 0.62 (0.49, 0.75); 1.25 (1.05, 1.33) vs. 1.00 (0.81, 1.11); <italic>P</italic>＜0.05]. The proportion of intraplaque hemorrhage (IPH) and grade 2 enhancement was significantly higher in the high-risk group than in the low-to-intermediate-risk group [74.4% vs. 33.3%; 56.4% vs. 6.1%; <italic>P</italic>＜0.05]. The NWI (<italic>r</italic>=0.661, <italic>P</italic>＜0.01), IPH (<italic>r</italic>=0.388, <italic>P</italic>＜0.01), and plaque enhancement (<italic>r</italic>=0.467, <italic>P</italic>＜0.01) were positively correlated with the ABCD3 score.ConclusionsThis study revealed different morphological characteristics of intracranial atherosclerotic plaques in patients with low-to-medium-risk and high-risk TIA. NWI, IPH and grade 2 enhancement are potential indicators to identify high-risk TIA patients. Probing these features with HR-MRI may provide insights into the early intervention of patients with TIA.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Differential diagnosis of atypical teratoid/rhabdoid tumor from medulloblastoma based on apparent diffusion coefficient and contrast-enhanced T1 weighted imaging histogram analysis]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.014</link>
<description><![CDATA[ObjectiveTo explore the value of histogram analysis based on apparent diffusion coefficient (ADC) and contrast-enhanced T1 weighted imaging (CE-T1WI) in differentiating atypical teratoid/rhabdoid tumor (AT/RT) from medulloblastoma (MB).Materials and MethodsA retrospective study includes 15 cases of AT/RT and 20 cases of MB confirmed by surgical histopathology and performed MRI examination from November 2013 to May 2021 in the First Affiliated Hospital of Zhengzhou University. Gender, age, location, maximum diameter, intra-tumoral cystic degeneration, intra-tumoral hemorrhage, obvious parenchymal enhancement and minimum ADC value of the two groups were recorded. MaZda software was used to delineate the region of interest (ROI) on the maximum tumor layer of ADC and CE-T1WI, and perform the gray histogram analysis. Nine histogram parameters were acquired. Independent sample <italic>t</italic>-test or Mann-Whitney <italic>U</italic> test was used to compare measurement data between the two groups, and Fisher<sup><sup>,</sup></sup>s exact test was used to compare categorical data. A comprehensive model was established by screening histogram parameters with difference through logistic regression analysis. By drawing receiver operating characteristic (ROC) curve and calculating area under the curve (AUC), the differential diagnosis efficiencies of each parameter and the comprehensive model were evaluated.ResultsIn ADC, skewness and Pere.01%, Pere.10% had statistically significant differences (<italic>P</italic>＜0.05), and AUC were 0.701, 0.778 and 0.642, respectively. In CE-T1WI, variance is statistically significant (<italic>P</italic>＜0.05), and AUC was 0.743. The comprehensive model established by logistic regression analysis showed AUC of 0.854, sensitivity of 68.8% and specificity of 88.9%.ConclusionsThe quantitative parameters obtained based on ADC and CE-T1WI histogram analysis of tumor maximum layer have certain value in preoperative differential diagnosis of AT/RT and MB, and provide a reference for the selection of clinical treatment.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Measurement of the diameter of retrobulbar optic nerve sheath in Chinese healthy adults by MRI and its related factors]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.015</link>
<description><![CDATA[ObjectiveTo evaluate the normal values of retrobulbar optic nerve sheath diameter (ONSD) in Chinese adults measured by MRI and analyze the potential factors affecting it.Materials and MethodsThe materials of healthy adults who underwent brain MRI examination for health screening between July 2017 and November 2020 were retrospective analyzed. The ONSD and eyeball transverse diameter (ETD) of each eye were measured at 3 mm behind the eye. Linear regression was used to determine the relationship between ONSD and the variables such as age, sex, height, weight, body mass index (BMI), mean arterial blood pressure (MABP), and ETD.ResultsA total of 413 subjects were included in the study. There were 227 males and 186 females, aged (42±12) years. The mean ONSD of 413 subjects was [4.76 (95% <italic>CI</italic>: 4.72-4.80)] mm. Upon simple linear regression analysis, we observed that the mean ONSD did vary with sex (<italic>P</italic>=0.002) and ETD (<italic>P</italic>=0.002). Further multiple linear regression analysis also showed that sex (<italic>P</italic>＜0.001) and ETD (<italic>P</italic>=0.001) were associated with ONSD. The mean ONSD for males was (4.86±0.42) mm compared with (4.63±0.40) mm for females, which meant a significant difference between the two groups (<italic>P</italic>＜0.001). We further assessed a normative value for the ONSD/ETD ratio, the mean value of which was 0.22 (95% <italic>CI</italic>: 0.21-0.22) mm.ConclusionsThis study established the range of MRI-based ONSD in healthy Chinese adults. Sex and ETD were the influencing factors of ONSD measurement. The difference in the ONSD value by sex suggest that separate normal reference ranges are need for men and women.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Diagnostic value of machine learning based on multi-parameters of MRI radiomics to predict cervical lymph node status of papillary thyroid carcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.016</link>
<description><![CDATA[ObjectiveTo explore the diagnostic value of machine learning based on multi-parameters of MRI radiomics to predict cervical lymph node status in patients with papillary thyroid carcinoma (PTC).Materials and MethodsThe imaging and clinical data of 182 patients with PTC diagnosed by operation and pathology were retrospectively analyzed, according to the result of surgical pathology, the patients were divided into lymph node metastasis group (91 cases) and no lymph node metastasis group (91 cases). Radiomics analysis was performed on multi-parameters of MRI [T1WI, T2WI, fat-saturated T2WI, enhanced T1WI, fat-saturated and enhanced T1WI, diffusion weighted imaging (DWI)] to acquire texture features and histogram features. Based on the above features, a support vector machine (SVM) model was constructed to classify cervical metastatic and non-metastatic lymph nodes.ResultsThe diagnostic performance of machine learning models which were based multi-parameters of MRI radiomics was superior,with a classification accuracy of 79.61%, a sensitivity of 75.00%, a specificity of 83.00%, and an area under curve (AUC) value of 0.911.ConclusionsThe machine learning method based on multi-parameters of MRI radiomics can effectively predict cervical lymph node status in patients with PTC.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Application value of cardiac cine with compressed sensing real-time imaging and retrospective fully automated non-rigid motion correction for assessment of right ventricular function and strain in patients with pulmonary arterial hypertension]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.017</link>
<description><![CDATA[ObjectiveTo evaluate the feasibility and accuracy of free-breathing cardiac cine MR imaging (cine-MoCo) combined with compressed sensing, highly accelerated real-time acquisition, and retrospective fully automated non-rigid motion correction for right ventricular (RV) function and strain analysis in patients with pulmonary arterial hypertension (PAH).Materials and MethodsSuspected or confirmed PAH patients clinically scheduled for CMR assessment were enrolled in Department of Radiology of Peking Union Medical College Hospital of Chinese Academy of Medical Sciences from January 2020 to April 2021. All enrolled patients received the standard cine imaging with 2D segmented acquisition and retrospective ECG gating (cine-SegBH) and cine-MoCo. Image quality (IQ) was evaluated using a qualitative 5-point Likert scale and the European CMR registry standardized criteria, and edge sharpness was measured. RV function and strain were measured and compared.ResultsForty patients were enrolled in this study. The mean scan times of cine-SegBH and cine-MoCo were (143±42) s and (115±24) s, respectively (<italic>P</italic>＜0.05). The general subjective IQ scores of cine-MoCo and cine-SegBH were (4.4±0.7) and (4.1±0.8), respectively (<italic>P</italic>＜0.05), and the standardized criteria IQ scores of cine-MoCo and cine-SegBH based on the European CMR registry standardized criteria were (0.125±0.404) and (0.425±0.844), respectively (<italic>P</italic>＜0.05). There was no significant difference by edge sharpness measurement between cine-SegBH and cine-MoCo [(0.064±0.133) vs. (0.065±0.139), <italic>P</italic>＞0.05]. There were no significant differences in the assessment of RV functional parameters between cine-SegBH and cine-MoCo, including RV ejection fraction (RVEF), RV end-diastolic volume (RVEDV), RV end-systolic volume (RVESV), RV stroke volumes (RVSV), and RV mass (RVM), additionally, all RV functional parameters showed strong correlations (<italic>r</italic>=0.966-0.992) between the two cine techniques. RV myocardial strain including global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) derived from cine-MoCo were significantly lower than those by cine-SegBH (all <italic>P</italic>＜0.05). GCS and GRS showed strong correlations (<italic>r</italic>=0.895 for GCS; <italic>r</italic>=0.908 for GRS), but GLS showed a weak correlation (<italic>r</italic>=0.564) between the two cine techniques. Subgroup analysis showed that GLS, GCS, and GRS measured with cine-MoCo were significantly underestimated in patients with mild PAH (WHO function class Ⅰ-Ⅱ, Group 1) but no significant differences in patients with severe PAH (WHO function class Ⅲ-Ⅳ, Group 2) when compared with those measured with cine-SegBH. All parameters for both techniques showed good intra-observer and inter-observer agreement.ConclusionsCompared with cine-SegBH, cine-MoCo can shorten image acquisition time, obtain equivalent or even better IQ, and achieve precise quantitative analytic results for RV function in patients with PAH, and obtain accurate strain evaluation in patients with severe PAH.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[The value of monoexponentia, fractional order calculus models and <sup>18</sup>F-FDG PET imaging in evaluating the proliferation status of lung adenocarcinoma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.018</link>
<description><![CDATA[ObjectiveTo explore the value of monoexponential, fractional order calculus (FROC) models based on diffusion weighted imaging (DWI) and <sup>18</sup>F-fluorodeoxyglucose-positron emission tomography (<sup>18</sup>F-FDG PET) in assessing the proliferation status of lung adenocarcinoma.Materials and MethodsA total of 64 patients with lung adenocarcinoma confirmed by pathology in our hospital were included. The expression of Ki-67 in lung cancer tissues was detected by immunohistochemistry and divided into the high Ki-67 group (＞25%) and the low Ki-67 group (≤25%). Before treatment, all patients underwent a dedicated thoracic <sup>18</sup>F-FDG PET/MR examination. The DWI was scanned with 10 b-values (0-1000 s/mm<sup>2</sup>). The apparent diffusion coefficient (ADC), a microstructural quantity (μ), diffusion coefficient (D), fractional order parameter (β) and maximum standardized uptake value (SUV<sub>max</sub>) were compared between the two groups. The independent predictors of Ki-67 proliferative status were analyzed by multivariate logistic regression, receiver operating characteristic (ROC) curve was used to evaluate the discriminant performance, and the correlation between each parameter and Ki-67 was analyzed.ResultsThe ADC, D, and β values in the low Ki-67 group were significantly higher than in the high Ki-67 group (<italic>P</italic>＜0.05), and the μ and SUV<sub>max</sub> values in the high Ki-67 group were significantly higher than in the low Ki-67 group (<italic>P</italic>＜0.05). The area under the curve (AUC) of parameters D and SUV<sub>max</sub> were 0.873 and 0.727, respectively, and multivariate logistic regression showed that parameters D (OR: 0.421, 95% <italic>CI</italic>: 0.245-0.723, <italic>P</italic>=0.002) and SUV<sub>max </sub>(OR: 1.022, 95% <italic>CI</italic>: 1.002-1.042, <italic>P</italic>=0.031) were independent risk factors for high Ki-67 expression. ADC and D values were negatively correlated with Ki-67 (<italic>r</italic>=-0.361, <italic>r</italic>=-0.420), and μ and SUV<sub>max</sub> values were positively correlated with Ki-67 (<italic>r</italic>=0.369, <italic>r</italic>=0.527).ConclusionsMonoexponential, FROC models and <sup>18</sup>F-FDG PET are effective methods to evaluate the proliferation status of lung adenocarcinoma, and the D value of FROC model shows the highest diagnostic performance. FROC model provides a new perspective for exploring the information of tumor tissue microenvironment, and has great potential in non-invasive evaluation of lung adenocarcinoma proliferation, and its clinical application has broad prospects.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Feasibility study of cardiac magnetic resonance four-dimensional flow imaging in evaluating left ventricular diastolic function in patients with hypertrophic cardiomyopathy]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.019</link>
<description><![CDATA[ObjectiveCardiac magnetic resonance four-dimensional flow (CMR 4D Flow) was used to measure left ventricular blood flow in patients with hypertrophic cardiomyopathy (HCM) with impaired diastolic function relaxation and to explore the feasibility of using left ventricular hemodynamic characteristics to evaluate diastolic function.Materials and MethodsA total of 45 HCM patients and 31 healthy controls were retrospectively collected. All subjects in both groups underwent a 3.0 T magnetic resonance steady-state free entry sequence and CMR 4D Flow sequence scan. The CVI42 post-processing software was used to measure the basic functional parameters of the left ventricle and the average blood flow velocity (cm/s) at the mitral valve level in the early (left ventricular aspiration) and late (left active atrial contraction) levels of the left ventricular inflow and outflow tract in the two groups. The independent samples <italic>t</italic>-test or Mann-Whitney <italic>U</italic> test were used to compare the clinical data and imaging parameters of the two groups; and Spearman correlation analysis was performed on the average blood flow velocity in early diastole, left ventricular myocardial mass, and peak diastolic thickness of the left ventricular wall.ResultsThe left ventricular mass (LV<sub>mass</sub>) and the global peak wall thickness (GPWT) in the HCM group were significantly higher than those in the healthy control group [LV<sub>mass</sub>: (163.70±52.18) vs. (87.27±21.01), unit: g; GPWT: (19.64±3.85) vs. (9.99±2.00), unit: mm; HCM group vs. healthy control group, <italic>P</italic>＜0.001]; for the average diastolic blood flow velocity at the level of the mitral valve, the average blood flow velocity in the early diastole of the HCM group was lower than that of the healthy control group [29.70 (17.90) vs. 50.50 (16.90), unit: cm/s; HCM group vs. healthy control group, <italic>P</italic>＜0.001]; the mean blood flow velocity in late diastole between HCM patients and the control group was not statistically different; the E/A value of the HCM group was significantly lower than that of the healthy control group [(1.26±0.70) vs. (1.80±0.85), HCM group vs. healthy control group, <italic>P</italic>=0.003].ConclusionsThe use of CMR 4D Flow can visualize the blood flow in the left ventricle, accurately distinguish the intraventricular blood flow trajectory of the heart in the early and late diastole. In addition, the decrease of mean flow velocity in the early diastolic stage of mitral valve level (E peak) and E/A value is helpful for quantitative evaluation of left ventricular diastolic dysfunction in patients with hypertrophic cardiomyopathy, and provides a reference for patients to formulate individualized treatment plans.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of preoperative prediction of Ki-67 expression in breast cancer based on DCE-MRI intratumoral combined with peritumoral radiomics model]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.020</link>
<description><![CDATA[ObjectiveTo explore the value of preoperative prediction of Ki-67 expression status in breast cancer based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and intratumoral combined peritumoral 3D radiomics model.Materials and MethodsThe data of 312 patients diagnosed with breast cancer in the Affiliated Tumors Hospital of Xinjiang Medical University from January 2019 to January 2022 were retrospectively collected and randomly divided them into training groups (<italic>n</italic>=250) and validation groups (<italic>n</italic>=62) according to the ratio of 8∶2. Firstly, doctors adopted 3D Slicer software to extract 3D imaging radiomics features from the 5 mm region in and around stage 2 of DCE-MRI images. Secondly, features were standardized with <italic>Z</italic>-score, and intra-class correlation coefficient (ICC), Spearman correlation coefficient and least absolute shrinkage and selection operator (LASSO) were used to screen the optimal radiomics features. Thirdly, model<sub>intra</sub>, model<sub>peri</sub>, model<sub>intra+peri</sub> were established by support vector machine (SVM) algorithms to predict the expression status of Ki-67 in breast cancer and were verified by the validation groups. Fourthly, the performance models were assessed by the receiver operating characteristic (ROC) curve and area under the curve (AUC).ResultsThe features of intratumor, peritumor, intratumor+peritumor were extracted 1906, 1906 and 3812 samples respectively, 322, 413 and 762 features were excluded by ICC, and 624, 732 and 1604 were eliminated by Spearman, after that 8, 19 and 16 features were selected by LASSO from the rest of 960, 761 and 1446 features. With comprehensive analysis, the model<sub>intra+peri</sub> showed the best prognostic efficacy, with AUC of 0.949 and 0.862 in the training and validation groups respectively. The calibration curve nearly showed the best value of 45%, Hosmer-Lemeshow goodness-of-fit test suggested that the curve of the model fitted the data with high efficiency (<italic>P</italic>=0.082), decision curve analysis showed better results than other models and benefits in the clinic application.ConclusionsThe predicting model of Ki-67 was creatively established by DCE-MRI and intratumoral combined peritumoral 3D radiomics model, the research provides accurate personal treatment in the breast cancer.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Study on application value of proton density weighted imaging accelerated with artificial intelligence‐compressed sensing in assessing cartilage injury in osteoarthritis of the knee]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.021</link>
<description><![CDATA[ObjectiveTo explore the value of proton density weighted imaging (PDWI) accelerated with artificial intelligence-compressed sensing (ACS) for semiquantitatively assessing cartilage of the knee in osteoarthritis.Materials and MethodsSeventy-four subjects were scanned with 3 T MRI scanner, undergoing three-plane PDWI accelerated with parallel imaging (PI), compressed sensing (CS) and ACS, respectively. The subjective image quality evaluation was performed by two radiologists using a 4‐point scale. The cartilage was divided into 14 regions. The two readers mentioned above graded cartilage abnormalities using an 8-point scale. In 15 of the subjects, the cartilages in 3 regions were graded twice at least a month apart. The Friedman test was used to analyze the differences of subjective image quality scores among PI, CS and ACS. Intra‐class correlation coefficient (ICC) was applied to assess consistency in grading cartilage abnormalities of CS‐PI and ACS‐PI. The specificity and sensitivity of CS and ACS in grading total articular cartilage injury were calculated. Cohen<sup><sup>,</sup></sup>s Kappa was used to analyze intra‐reader agreement.ResultsThree‐plane PDWI accelerated with, PI, CS, ACS were acquired in 428 s, 375 s and 155 s, respectively. The subjective scores of the three-plane images were not different among the three groups (<italic>P</italic>=0.607, 0.174, 0.529, respectively). The agreement grading cartilage abnormalities in 14 regions of CS-PI, ACS‐PI were excellent (ICC ranging 0.969-0.995 and 0.951-0.987, respectively). Removing the regions with negative diagnosis in the three groups, the agreement in grading cartilage abnormalities of CS-PI, ACS-PI were still excellent (ICC ranging 0.868-0.939 and 0.842-0.948, respectively). The specificity of CS and ACS was 99.6% and 98.2%, respectively. The range of sensitivity of CS and ACS in grade 1-6 was 42.3%-100.0% and 17.3%-87.9%, respectively. Grading cartilage abnormalities showed perfect agreement (<italic>κ</italic>≥0.803) in 3 regions of 15 subjects for PI, CS and ACS.ConclusionsACS greatly accelerates multi‐plane MRI PDWI sequences while ensuring image quality, and achieve comparable diagnostic performance with sequences accelerated with parallel imaging in semi‐quantitative evaluation of multi‐region cartilage injury in knee osteoarthritis.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Comparative study on resting functional connection of amygdala between recurrent and first-episode depression]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.022</link>
<description><![CDATA[ObjectiveTo explore the functional connectivity (FC) alterations in RDE by comparing the resting-state FC differences in amygdala in recurrent depressive episodes (RDE) and first depressive episode (FDE) characteristics.Materials and MethodsTwenty-one patients with RDE, patients with FDE, and healthy controls (HCs) were included, and resting-state brain function MRI data were collected from the 3 groups of subjects, and clinical depression, anxiety, and redundancy scales were completed. One-way ANOVA was used to compare the differences between bilateral amygdala and whole brain FC in the 3 groups, and the results were corrected for Gaussian random fields. Time series means (FC values) of the brain regions with differences in FC between the 3 groups were extracted and the results were Bonferroni corrected (<italic>P</italic>＜0.016) for post hoc two-by-two comparisons of FC values. Finally, Pearson correlation analysis was performed between FC values and clinical scale scores for the statistically different brain regions among the 3 groups.Results(1) Compared with the FDE group, the FC of the left amygdala with the left and right anterior cingulate gyrus/left orbital part of the superior frontal gyrus was increased in the RDE group, and the FC of the right amygdala with the right precentral gyrus/right precuneus and right supplementary motor area/right middle cingulate gyrus was increased in the RDE group. Compared with the HC group, the FC of the left amygdala with the left and right anterior cingulate gyrus/left orbital part of the superior frontal gyrus was increased in the RDE group. (2) The FC values of the left amygdala and the left and right anterior cingulate/left orbital part of the superior frontal gyrus in the RDE group were positively correlated with the Rumination Response Scale (RRS) scores (<italic>r</italic>=0.460, <italic>P</italic>=0.033).ConclusionsThere were differences in FC between RDE and FDE in the amygdala and limbic circuits, reward circuit, somatosensory-motor areas and default mode network, and a more extensive FC alteration feature was present in RDE, which may be the reason why the neuropathological mechanism of RDE is more complex.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Quantitative analysis of early changes in the myelin structure of rats with ischemic stroke using MRI signal intensity ratio and diffusion tensor imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.023</link>
<description><![CDATA[ObjectiveTo explore the early diagnostic value of signal intensity ratio (SIR) and diffusion tensor imaging (DTI) in myelin structural changes in the white matter of ischemic stroke rats.Materials and MethodsEighteen Sprague Dawley rats were divided into three groups, Groups A, B, and C, with six rats in each group. Middle cerebral artery occlusion (MCAO) sham operation without ligation was performed in group A, the 24 hours after MCAO operation in group B, and the 72 hours after MCAO operation in group C. After obtaining T1WI, T2WI, and DTI scans under the same conditions, post-processing to get the SIR, fractional anisotropy (FA), apparent diffusion coefficient (ADC), radial diffusivity (D<sub>⊥</sub>) imaging. The corpus callosum and external capsule regions were outlined to calculate the SIR value, FA value, ADC value, and D<sub>⊥</sub> value, and a one-way analysis of variance was performed among the three groups. At the end of scanning, the samples were obtained for luxol fast blue (LFB) -tar purple pathological staining, and the mean grayscale value (MGSV) was measured. One-way analysis of variance between the three groups was performed. Pairwise correlation analysis was performed between the statistically significant imaging data and the MGSV.ResultsCompared with group A, group B had decreased SIR (<italic>P</italic>=0.044), fractional anisotropy (FA; <italic>P</italic>=0.001), apparent diffusion coefficient (ADC; <italic>P</italic>=0.001) and radial diffusion coefficient (D<sub>⊥</sub>; <italic>P</italic>=0.001) values in the external capsule region. Group C had decreased SIR (<italic>P</italic>＜0.001) and FA (<italic>P</italic>=0.002) in the external capsule region. SIR (<italic>P</italic>=0.031) and FA (<italic>P</italic>=0.015) in the corpus callosum were decreased. LFB-tar purple poorly stained the areas of the myelin sheath that were damaged due to stroke, and the mean grayscale value (MGSV) decreased (<italic>P</italic>＜0.05). In the external capsule region, MGSV was negatively correlated with SIR (<italic>P</italic>＜0.0001), FA (<italic>P</italic>≤0.0001), ADC (<italic>P</italic>=0.0127), and D<sub>⊥</sub> (<italic>P</italic>=0.0180). In the corpus callosum region, MGSV was negatively correlated with SIR (<italic>P</italic>=0.0018).ConclusionsA combination of SIR and DTI can be used as a noninvasive imaging method to evaluate the different stages of myelin injury in ischemic stroke. This has been proven effective in rat models and provides a helpful imaging basis for clinical diagnosis and treatment.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Proton exchange rate quantification-based lesion detection in ischemic stroke using chemical exchange saturation transfer imaging]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.024</link>
<description><![CDATA[ObjectiveTo evaluate the value of chemical exchange saturation transfer (CEST) MRI proton exchange rate in the detection of focal area of ischemic stroke by quantitative analysis.Materials and MethodsThe rat middle cerebral artery occlusion model was prepared by the suture method, and scanned on a Bruker 7 T animal MR scanner to obtain stroke rat images with different MRI modalities. The saturation pulse intensities were respectively 0.7, 1, and 2 μT to collect CEST images three times. In terms of post-processing, the linear relationship between the saturation pulse amplitude <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M16"><msub><mrow><mi>ω</mi></mrow><mrow><mn mathvariant="normal">1</mn></mrow></msub></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3C1AE9B1-CFE3-457f-9B90-B33C08297D7B-M016.png"><?fx-imagestate width="3.13266683" height="3.21733332"?></graphic><graphic specific-use="small" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3C1AE9B1-CFE3-457f-9B90-B33C08297D7B-M016c.png"><?fx-imagestate width="3.13266683" height="3.21733332"?></graphic></alternatives></inline-formula>, the exchange rate <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M17"><msub><mrow><mi>k</mi></mrow><mrow><mi>e</mi><mi>x</mi></mrow></msub></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3C1AE9B1-CFE3-457f-9B90-B33C08297D7B-M017.png"><?fx-imagestate width="3.04800010" height="3.21733332"?></graphic><graphic specific-use="small" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3C1AE9B1-CFE3-457f-9B90-B33C08297D7B-M017c.png"><?fx-imagestate width="3.04800010" height="3.21733332"?></graphic></alternatives></inline-formula> and the CEST signal was established based on the Bloch-McConnell equation, so as to pass the CEST under different <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M18"><msub><mrow><mi>B</mi></mrow><mrow><mn mathvariant="normal">1</mn></mrow></msub></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3C1AE9B1-CFE3-457f-9B90-B33C08297D7B-M018.png"><?fx-imagestate width="3.04800010" height="3.21733332"?></graphic><graphic specific-use="small" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3C1AE9B1-CFE3-457f-9B90-B33C08297D7B-M018c.png"><?fx-imagestate width="3.04800010" height="3.21733332"?></graphic></alternatives></inline-formula>. Signals were exchanged for rate quantification. According to this method, the CEST images were calculated pixel by pixel to obtain the corresponding exchange rate imaging. The independent sample <italic>t</italic>-test was used to compare the exchange rates of detected lesions and normal tissues between groups, and the contrast-to-noise ratio (CNR) was used to compare the exchange rates between groups. The CNR metric to quantify the contrast between exchange rate imaging and raw CEST imaging.ResultsRelative to the contralateral normal tissue, exchange rate imaging showed markedly low signal in the lesion area. Compared with transverse relaxation-weighted imaging (T2W) and diffusion-weighted imaging (DWI), for the short term after reperfusion, exchange rate imaging showed stronger contrast in the lesion area. The <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M19"><msub><mrow><mi>k</mi></mrow><mrow><mi>e</mi><mi>x</mi></mrow></msub></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3C1AE9B1-CFE3-457f-9B90-B33C08297D7B-M017.png"><?fx-imagestate width="3.04800010" height="3.21733332"?></graphic><graphic specific-use="small" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/3C1AE9B1-CFE3-457f-9B90-B33C08297D7B-M017c.png"><?fx-imagestate width="3.04800010" height="3.21733332"?></graphic></alternatives></inline-formula> value in the lesion area detected by exchange rate imaging was statistically significant compared with the rest of the normal tissues (<italic>P</italic>＜0.01). With a total of 6 groups of rat comparison experiments, all the exchange rate images showed higher CNR values compared to the original CEST images.ConclusionsProton exchange rate imaging can detect acidic lesions in tissues after ischemic stroke, and has potential as an endogenous quantitative imaging biomarker.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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<title><![CDATA[Value of MUSE technique in improving diffusion tensor imaging quality of glioma]]></title>
<link>http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2022.10.025</link>
<description><![CDATA[ObjectiveTo investigate the application of multiplexed sensitivity encoding diffusion tensor imaging (MUSE DTI) in improving the image quality of the peripheral area of intracranial gliomas and displaying the peritumoral white matter fiber bundles.Materials and MethodsTwenty-one patients with glioma confirmed by surgical pathology in our hospital from 2021 January to June were prospectively enrolled. MUSE DTI sequence and conventional single shot echo planner imaging diffusion tensor imaging (SS-EPI DTI) sequence imaging were scanned respectively, and the whole-brain white matter fiber tract reconstruction was proceeded on the DTI images of the two groups. The image quality of glioma peripheral area scanned by MUSE DTI and SS-EPI DTI was double-blind evaluated by two senior radiologists. The evaluation includes image definition, distortion degree and magnetic susceptibility artifact, whether the reconstructed white matter fiber was consistent with the structural images. Then, the signal to noise ratio (SNR) and fiber density index (FDi) of the surrounding area of the tumor were measured quantitatively. The comprehensive quality score of the two groups of images was analyzed by Mann Whitney<italic> U</italic> test. The SNR and FDi of glioma peripheral areas in the two groups were analyzed by paired <italic>t</italic>-test (when <italic>P</italic>＜0.05, it was considered statistically significant).ResultsThe image quality score of MUSE DTI and SS-EPI DTI were 4 (4, 5), 3 (2, 3) [<italic>M</italic> (<italic>P</italic>25, <italic>P</italic>75), <italic>Z</italic>=0.87, <italic>P</italic>＜0.01]. The SNR of the peritumoral area was 65.43±32.91 and 23.41±21.21 (<italic>P</italic>＜0.01). The FDi values were 0.83±0.87, 0.68±0.71 (<italic>P</italic>＜0.05). The comprehensive quality scores of the two groups of images, SNR and FDi values of the surrounding areas of the tumor had statistically differences.ConclusionsMUSE DTI can enhance the image quality of the area around glioma, improve the visualization accuracy of white matter fiber bundles around the tumor, and provide accurate imaging evidence for clinical diagnosis and treatment.]]></description>
<pubDate>Thu,20 Oct 2022 00:00:00  GMT</pubDate>
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