View clinical trials related to MRI.
Filter by:About 20 to 30% of patients treated for cancer will have brain metastases. These brain metastases are found more frequently in patients with lung cancer, breast cancer or melanoma. The prognosis of these patients is unfavorable but prolonged survival can be obtained with the local and systemic treatments currently available. Brain MRI is the gold standard for evaluating brain metastases but has limitations in therapeutic evaluation, partially offset by PET imaging of amino acid metabolism. Our work aims to compare the performance of PET-DOPA with standard MRI for the detection of brain metastases (≥ 5mm) in lung cancer, breast cancer and melanoma; and to characterize these lesions using dynamic acquisitions obtained with a digital PET camera with high spatial resolution. Having better knowledge of the metabolic characteristics of newly discovered brain metastases, the objective of subsequent studies will be to better assess the per- or post-therapeutic efficacy of radiotherapy and the various systemic therapies available (chemotherapy, targeted therapy, immunotherapy).
Post hepatectomy liver failure (PHLF) is one of the most severe complications after liver re-section. Preoperative evaluation of liver function is complicated and imprecise. The volume and function needed for each individual patient is unknown and the methods used for evaluation are uncertain. Preoperative MRI with Gadolinium may give dynamic information regarding liver function correlating with postoperative liver failure. A retrospective analysis will be performed regarding this topic.
We prospectively collected information on consecutive patients who had been evaluated using 4D PC-MRI for aortic pathology in a tertiary hospital between April 2018 and Feb 2020. Patients were eligible for inclusion in the study if they had a clinical indication for CTA of aortic dissections.
This trial was designed to to study whether there is a difference in MRI image evaluation between NCRT and NCT, and try to build a model to predict the efficacy of neoadjuvant therapy by combining multiple imaging indexes.
Magnetic resonance imaging (MRI) is a non-invasive imaging modality used in routine clinical practice for clinical diagnosis by visualizing the anatomical structure and in vivo function of certain organs. The development of ultra-high field MRI systems with 7.0-T or higher, gives access to a new field of exploration of the human body by improving the speed of acquisition but also a better signal-to-noise ratio (SNR) and better resolution. In order to fully exploit the potential of these ultra-high field MRI scanners, various technical issues must be adressed. Indeed, the non-uniformity of the transmission field is one of them leading to non-uniform images with spatially varying contrast. Thus the pTX (parallel transmission) mode using multiple transmission channels allows spatial and temporal control over the RF waves.
MRI is a potentially powerful tool to reliably determine the intra-abdominal tumor load and relations with intra-abdominal organs. In recent years diffusion weighted MRI has proven its value as a highly sensitive technique to detect small malignant disease in a wide variety of cancers [1-3]. However, literature concerning the clinical impact of detecting peritoneal metastases with MRI is very limited. Therefore, there is a need for a large randomized multicenter trial to determine whether dedicated MRI can be used as a selection tool for CRS-HIPEC candidates in daily practice.
This is a phase 1 study to determine the feasibility and utility of using serial magnetic resonance imaging (MRI) to assess treatment response during and after radiation therapy (standard of care cancer treatment) for participants with advanced esophageal cancer, glioblastoma, prostate cancer, vulvar cancer or pediatric glioma. The research study procedures include three MRI scans (one before, one during, and one after standard of care cancer radiation therapy) for participants with advanced esophageal cancer, glioblastoma, prostate cancer, vulvar cancer or pediatric glioma. The research study procedures include: - Screening for eligibility - Three MRI scans
CLUE is a prospective study to determine structural and functional changes of brain and spinal cord, as well as the inflammatory environment in patients with neuroinflammatory and demyelination disease. Subjects will receive new magnetic resonance (MR) technics including double inversion recovery (DIR) imaging diffusion kurtosis imaging (DKI), quantitative susceptibility mapping (QSM) and resting-state functional imaging and follow up for one year.
Lung cancer is one of the leading causes of cancer-related deaths in China. Despite advances in systemic therapy and improvement nonsurvival rates for patients with advanced lung cancer, morbidity and mortality remain high. Recently, many studies reported that patients with positive driving genes such as EGFR(epidermal growth factor receptor,EGFR), ALK(anaplastic lymphoma kinase,ALK), ROS1(c-ros oncogene 1 receptor,ROS1), BRAF (V-raf murine sarcoma viral oncogene homolog B1, BRAF)and so on have clearly targeted drugs, which bring survival benefits to patients. However, about half of patients still lack a clear driving gene target, which may have improved survival due to higher response rates to radiation therapy and other chemotherapy medications. Development of noninvasive imaging biomarkers such as CT (computed tomography,CT)and MRI (magnetic resonance imaging,MRI)may not only evaluate the response to therapy ,but also could predict the efficacy of drug therapy and whether the driving gene is positive or not, through analysing the relationship between clinical related data and imaging features to find the imaging characteristics for making clinical decisions, and, consequently, contribute to an improved prognosis.
It is very significant that assessing staging in gastric cancer patients before surgery, furthermore, determining the optimize surgical strategy ,predict the the efficacy of neoadjuvant therapy for patients. For patients who are ineffective in neoadjuvant therapy, surgery will be more meaningful. It has been reported that the application of CT(computed tomography,CT) and MR(magnetic resonance,MR) in staging of gastric cancer, but not in predicting clinical response to neoadjuvant therapy for gastric cancer. Only a few studies focused on T staging using conventional MRI in gastric cancer, however , relatively new sequences in the chest deserve widely used. To develop a pre-treatment evaluation methods for TN staging in patient with gastric cancer by utilization of the new imaging methods (T2-TSE-BLADE,T2 maps, StarVIBE, iShim-DWI and high resolution CT). By analysing the relationship between TN staging and imaging features to find the imaging characteristics for TN staging, and to find the indicators of new technology and reference values for facilitate pre-treatment diagnosis of TN staging, optimize surgical strategy , predict the the efficacy of adjunctive therapy , and OS and define the range of lymph node for radiotherapy , as making personal treatment planning for gastric cancer .