Magnetic resonance insights最新文献

{"title":"The Interface Between Iron Metabolism and Gene-Based Iron Contrast for MRI.","authors":"Donna E Goldhawk,&nbsp;Neil Gelman,&nbsp;Anindita Sengupta,&nbsp;Frank S Prato","doi":"10.4137/MRI.S23555","DOIUrl":"https://doi.org/10.4137/MRI.S23555","url":null,"abstract":"<p><p>Using a gene-based approach to track cellular and molecular activity with magnetic resonance imaging (MRI) has many advantages. The strong correlation between transverse relaxation rates and total cellular iron content provides a basis for developing sensitive and quantitative detection of MRI reporter gene expression. In addition to biophysical concepts, general features of mammalian iron regulation add valuable context for interpreting molecular MRI predicated on gene-based iron labeling. With particular reference to the potential of magnetotactic bacterial gene expression as a magnetic resonance (MR) contrast agent for mammalian cell tracking, studies in different cell culture models highlight the influence of intrinsic iron regulation on the MRI signal. The interplay between dynamic regulation of mammalian iron metabolism and expression systems designed to sequester iron biominerals for MRI is presented from the perspective of their potential influence on MR image interpretation. </p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":" ","pages":"9-14"},"PeriodicalIF":0.0,"publicationDate":"2015-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4597585/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34101856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to \"Safety and Efficacy of Gadobutrol for Contrast-enhanced Magnetic Resonance Imaging of the Central Nervous System: Results from a Multicenter, Double-blind, Randomized, Comparator Study\".","authors":"Juan E Gutierrez,&nbsp;Martin Rosenberg,&nbsp;Jörg Seemann,&nbsp;Josy Breuer,&nbsp;Daniel Haverstock,&nbsp;Jacob Agris,&nbsp;Thomas Balzer,&nbsp;Nicoletta Anzalone","doi":"10.4137/MRI.S30060","DOIUrl":"https://doi.org/10.4137/MRI.S30060","url":null,"abstract":"The authors of Gutierrez JE, Rosenberg M, Seemann J, et al. Safety and Efficacy of Gadobutrol for Contrast-enhanced Magnetic Resonance Imaging of the Central Nervous System: Results from a Multicenter, Double-blind, Randomized, Comparator Study. Magnetic Resonance Insights. 2015;8:1–10. doi:10.4137/MRI.S19794 wish to advise that there was an error in the text on page 6 of the paper, in the sentences describing Figure 5. This text should have read as follows: Figure 5 shows a patient with brain metastasis from lung cancer. The gadobutrol-enhanced T1w image (a) shows a small foci of increased signal intensity near the gray-white Journal name: Magnetic Resonance Insights","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":"8 ","pages":"23"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/MRI.S30060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33928056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accuracies and Contrasts of Models of the Diffusion-Weighted-Dependent Attenuation of the MRI Signal at Intermediate b-values.","authors":"Renaud Nicolas,&nbsp;Igor Sibon,&nbsp;Bassem Hiba","doi":"10.4137/MRI.S25301","DOIUrl":"https://doi.org/10.4137/MRI.S25301","url":null,"abstract":"<p><p>The diffusion-weighted-dependent attenuation of the MRI signal E(b) is extremely sensitive to microstructural features. The aim of this study was to determine which mathematical model of the E(b) signal most accurately describes it in the brain. The models compared were the monoexponential model, the stretched exponential model, the truncated cumulant expansion (TCE) model, the biexponential model, and the triexponential model. Acquisition was performed with nine b-values up to 2500 s/mm(2) in 12 healthy volunteers. The goodness-of-fit was studied with F-tests and with the Akaike information criterion. Tissue contrasts were differentiated with a multiple comparison corrected nonparametric analysis of variance. F-test showed that the TCE model was better than the biexponential model in gray and white matter. Corrected Akaike information criterion showed that the TCE model has the best accuracy and produced the most reliable contrasts in white matter among all models studied. In conclusion, the TCE model was found to be the best model to infer the microstructural properties of brain tissue. </p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":"8 ","pages":"11-21"},"PeriodicalIF":0.0,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/MRI.S25301","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33413457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation of Carotid Intraplaque Hemorrhage and Stroke Using 1.5 T and 3 T MRI.","authors":"Gerald S Treiman,&nbsp;J Scott McNally,&nbsp;Seong-Eun Kim,&nbsp;Dennis L Parker","doi":"10.4137/MRI.S23560","DOIUrl":"https://doi.org/10.4137/MRI.S23560","url":null,"abstract":"<p><p>Carotid therosclerotic disease causes approximately 25% of the nearly 690,000 ischemic strokes each year in the United States. Current risk stratification based on percent stenosis does not provide specific information on the actual risk of stroke for most individuals. Prospective randomized studies have found only 10 to 12% of asymptomatic patients will have a symptomatic stroke within 5 years. Measurements of percent stenosis do not determine plaque stability or composition. Reports have concluded that cerebral ischemic events associated with carotid plaque are intimately associated with plaque instability. Analysis of retrospective studies has found that plaque composition is important in risk stratification. Only MRI has the ability to identify and measure the detailed components and morphology of carotid plaque and provides more detailed information than other currently available techniques. MRI can accurately detect carotid hemorrhage, and MRI identified carotid hemorrhage correlates with acute stroke. </p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2015-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/MRI.S23560","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33370955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Safety and Efficacy of Gadobutrol for Contrast-enhanced Magnetic Resonance Imaging of the Central Nervous System: Results from a Multicenter, Double-blind, Randomized, Comparator Study.","authors":"Juan E Gutierrez,&nbsp;Martin Rosenberg,&nbsp;Jörg Seemann,&nbsp;Josy Breuer,&nbsp;Daniel Haverstock,&nbsp;Jacob Agris,&nbsp;Thomas Balzer,&nbsp;Nicoletta Anzalone","doi":"10.4137/MRI.S19794","DOIUrl":"https://doi.org/10.4137/MRI.S19794","url":null,"abstract":"<p><strong>Purpose: </strong>Contrast-enhanced magnetic resonance imaging (MRI) of the central nervous system (CNS) with gadolinium-based contrast agents (GBCAs) is standard of care for CNS imaging and diagnosis because of the visualization of lesions that cause blood-brain barrier breakdown. Gadobutrol is a macrocyclic GBCA with high concentration and high relaxivity. The objective of this study was to compare the safety and efficacy of gadobutrol 1.0 M vs unenhanced imaging and vs the approved macrocyclic agent gadoteridol 0.5 M at a dose of 0.1 mmol/kg bodyweight.</p><p><strong>Materials and methods: </strong>Prospective, multicenter, double-blind, crossover trial in patients who underwent unenhanced MRI followed by enhanced imaging with gadobutrol or gadoteridol. Three blinded readers assessed the magnetic resonance images. The primary efficacy variables included number of lesions detected, degree of lesion contrast-enhancement, lesion border delineation, and lesion internal morphology.</p><p><strong>Results: </strong>Of the 402 treated patients, 390 patients received study drugs. Lesion contrast-enhancement, lesion border delineation, and lesion internal morphology were superior for combined unenhanced/gadobutrol-enhanced imaging vs unenhanced imaging (P < 0.0001 for all). Compared with gadoteridol, gadobutrol was non-inferior for all primary variables and superior for lesion contrast-enhancement, as well as sensitivity and accuracy for detection of malignant disease. The percentage of patients with at least one drug-related adverse event was similar for gadobutrol (10.0%) and gadoteridol (9.7%).</p><p><strong>Conclusion: </strong>Gadobutrol is an effective and well-tolerated macrocyclic contrast agent for MRI of the CNS. Gadobutrol demonstrates greater contrast-enhancement and improved sensitivity and accuracy for detection of malignant disease than gadoteridol, likely because of its higher relaxivity.</p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":"8 ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2015-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/MRI.S19794","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33134141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Iron Oxide as an MRI Contrast Agent for Cell Tracking.","authors":"Daniel J Korchinski,&nbsp;May Taha,&nbsp;Runze Yang,&nbsp;Nabeela Nathoo,&nbsp;Jeff F Dunn","doi":"10.4137/MRI.S23557","DOIUrl":"https://doi.org/10.4137/MRI.S23557","url":null,"abstract":"<p><p>Iron oxide contrast agents have been combined with magnetic resonance imaging for cell tracking. In this review, we discuss coating properties and provide an overview of ex vivo and in vivo labeling of different cell types, including stem cells, red blood cells, and monocytes/macrophages. Furthermore, we provide examples of applications of cell tracking with iron contrast agents in stroke, multiple sclerosis, cancer, arteriovenous malformations, and aortic and cerebral aneurysms. Attempts at quantifying iron oxide concentrations and other vascular properties are examined. We advise on designing studies using iron contrast agents including methods for validation. </p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":"8 Suppl 1","pages":"15-29"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/MRI.S23557","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10486629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of Fat Metabolism during Antiobesity Interventions by Magnetic Resonance Imaging and Spectroscopy.","authors":"Arunima Pola, Suresh Anand Sadananthan, Venkatesh Gopalan, Min-Li Sandra Tan, Terry Yew Keong, Zhihong Zhou, Seigo Ishino, Yoshihide Nakano, Masanori Watanabe, Takashi Horiguchi, Tomoyuki Nishimoto, Bin Zhu, S Sendhil Velan","doi":"10.4137/MRI.S19362","DOIUrl":"10.4137/MRI.S19362","url":null,"abstract":"<p><p>The focus of current treatments for obesity is to reduce the body weight or visceral fat, which requires longer duration to show effect. In this study, we investigated the short-term changes in fat metabolism in liver, abdomen, and skeletal muscle during antiobesity interventions including Sibutra mine treatment and diet restriction in obese rats using magnetic resonance imaging, magnetic resonance spectroscopy, and blood chemistry. Sibutramine is an antiobesity drug that results in weight loss by increasing satiety and energy expenditure. The Sibutramine-treated rats showed reduction of liver fat and intramyocellular lipids on day 3. The triglycerides (TG) decreased on day 1 and 3 compared to baseline (day 0). The early response/nonresponse in different fat depots will permit optimization of treatment for better clinical outcome rather than staying with a drug for longer periods. </p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":"7 ","pages":"33-40"},"PeriodicalIF":0.0,"publicationDate":"2014-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251539/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32962754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Damage to the optic chiasm in myelin oligodendrocyte glycoprotein-experimental autoimmune encephalomyelitis mice.","authors":"Sheryl L Herrera,&nbsp;Vanessa L Palmer,&nbsp;Heather Whittaker,&nbsp;Blair Cardigan Smith,&nbsp;Annie Kim,&nbsp;Angela E Schellenberg,&nbsp;Jonathan D Thiessen,&nbsp;Richard Buist,&nbsp;Marc R Del Bigio,&nbsp;Melanie Martin","doi":"10.4137/MRI.S19750","DOIUrl":"https://doi.org/10.4137/MRI.S19750","url":null,"abstract":"<p><p>Optic chiasm lesions in myelin oligodendrocyte glycoprotein (MOG)-experimental autoimmune encephalomyelitis (EAE) mice were characterized using magnetic resonance imaging (MRI) and validated using electron microscopy (EM). MR images were collected from 3 days after induction to remission, approximately 20 days after induction. Hematoxylin and eosin, solochrome cyanin-stained sections, and EM images were obtained from the optic chiasms of some mice approximately 4 days after disease onset when their scores were thought to be the highest. T2-weighted imaging and apparent diffusion coefficient map hyperintensities corresponded to abnormalities in the optic chiasms of EAE mice. Mixed inflammation was concentrated at the lateral surface. Degeneration of oligodendrocytes, myelin, and early axonal damage were also apparent. A marked increase in chiasm thickness was observed. T2-weighted and diffusion-weighted MRI can detect abnormalities in the optic chiasms of MOG-EAE mice. MRI is an important method in the study of this model toward understanding optic neuritis. </p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":"7 ","pages":"23-31"},"PeriodicalIF":0.0,"publicationDate":"2014-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/MRI.S19750","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32916424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In vivo monitoring of natural killer cell trafficking during tumor immunotherapy.","authors":"Naomi S Sta Maria,&nbsp;Samuel R Barnes,&nbsp;Russell E Jacobs","doi":"10.4137/MRI.S13145","DOIUrl":"https://doi.org/10.4137/MRI.S13145","url":null,"abstract":"<p><p>Natural killer (NK) cells are a crucial part of the innate immune system and play critical roles in host anti-viral, anti-microbial, and antitumor responses. The elucidation of NK cell biology and their therapeutic use are actively being pursued with 200 clinical trials currently underway. In this review, we outline the role of NK cells in cancer immunotherapies and summarize current noninvasive imaging technologies used to track NK cells in vivo to investigate mechanisms of action, develop new therapies, and evaluate efficacy of adoptive transfer. </p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":"7 ","pages":"15-21"},"PeriodicalIF":0.0,"publicationDate":"2014-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/MRI.S13145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32578639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MRS-based Metabolomics in Cancer Research.","authors":"Tedros Bezabeh,&nbsp;Omkar B Ijare,&nbsp;Alexander E Nikulin,&nbsp;Rajmund L Somorjai,&nbsp;Ian Cp Smith","doi":"10.4137/MRI.S13755","DOIUrl":"https://doi.org/10.4137/MRI.S13755","url":null,"abstract":"<p><p>Metabolomics is a relatively new technique that is gaining importance very rapidly. MRS-based metabolomics, in particular, is becoming a useful tool in the study of body fluids, tissue biopsies and whole organisms. Advances in analytical techniques and data analysis methods have opened a new opportunity for such technology to contribute in the field of diagnostics. In the MRS approach to the diagnosis of disease, it is important that the analysis utilizes all the essential information in the spectra, is robust, and is non-subjective. Although some of the data analytic methods widely used in chemical and biological sciences are sketched, a more extensive discussion is given of a 5-stage Statistical Classification Strategy. This proposes powerful feature selection methods, based on, for example, genetic algorithms and novel projection techniques. The applications of MRS-based metabolomics in breast cancer, prostate cancer, colorectal cancer, pancreatic cancer, hepatobiliary cancers, gastric cancer, and brain cancer have been reviewed. While the majority of these applications relate to body fluids and tissue biopsies, some in vivo applications have also been included. It should be emphasized that the number of subjects studied must be sufficiently large to ensure a robust diagnostic classification. Before MRS-based metabolomics can become a widely used clinical tool, however, certain challenges need to be overcome. These include manufacturing user-friendly commercial instruments with all the essential features, and educating physicians and medical technologists in the acquisition, analysis, and interpretation of metabolomics data. </p>","PeriodicalId":74096,"journal":{"name":"Magnetic resonance insights","volume":"7 ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2014-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/MRI.S13755","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32578638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}