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Magnetic Resonance Imaging clinical trials

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NCT ID: NCT05003206 Recruiting - Parkinson's Disease Clinical Trials

Predictive Value of Multimodal MRI in Parkinson's Disease

Start date: June 19, 2021
Phase: N/A
Study type: Interventional

Deep brain stimulation (DBS) is recognized as the most safe and effective neurosurgical method for the treatment of advanced Parkinson's disease. However, the mechanism of relieving motor and non-motor symptoms of Parkinson's disease has not been fully clarified, and the prognosis is significantly different. This study is based on multimodal MRI technique to clarify the mechanism of DBS in relieving motor and non-motor symptoms of Parkinson's disease, and to explore imaging indicators that can predict prognosis, so as to guide the individual and accurate treatment of Parkinson's disease (PD).

NCT ID: NCT04996992 Not yet recruiting - Parkinson Disease Clinical Trials

MRgFUS Pallidothalamic Tractotomy for Therapy-Resistant Parkinson's Disease

Start date: August 15, 2021
Phase:
Study type: Observational

To investigate the neural mechanism of Magnetic resonance-guided focused ultrasound (MRgFUS) Pallidothalamic Tractotomy in Parkinson's disease through multi-model MRI, and identify imaging biomarkers for triaging candidates and predicting the clinical outcomes. Parkinson's disease (PD) is the second most progressive neurodegenerative disease with many motor and non-motor symptoms, which brings heavy burden to the family and the society. MRgFUS pallidothalamic tractotomy allows to address all symptoms of PD without skull opening and with very limited tissue ablation, but with varying effectiveness. The unknown pathogenesis of PD has greatly contributed to this variance. Therefore, in order to optimize the clinical application of MRgFUS pallidothalamic tractotomy, it is important to reveal the pathogenesis of Parkinson's disease by using multiple modality MRI methods, and identify imaging biomarkers to triage suitable candidates and predict clinical outcomes.

NCT ID: NCT04996615 Recruiting - Breast Cancer Clinical Trials

Artificial Intelligence Analysis for Magnetic Resonance Imaging in Screening Breast Cancer in High-risk Women

Start date: September 1, 2021
Phase:
Study type: Observational

Use Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI. Build an abbreviated protocal, and investigate whether an abbreviated protocol was suitable for breast magnetic resonance imaging screening for breast cancer in high-risk Chinese women, which can shorten the examination time and avoid enhanced imaging while ensuring the accuracy of the diagnosis.

NCT ID: NCT04993196 Recruiting - Clinical trials for Magnetic Resonance Imaging

Quantitative T1rho Magnetic Resonance Imaging in Healthy Subjects

Start date: August 1, 2021
Phase: N/A
Study type: Interventional

T1rho imaging is a new MRI technique that has strong potential in neuroimaging. This technique does not require exogenous contrast agents and has high spatial resolution. In this study we aim to characterise the normal appearance of T1rho in the brain parenchyma in healthy participants. T1rho values will be measured in normal brain structures.

NCT ID: NCT04988516 Recruiting - Anxiety Clinical Trials

Virtual Reality Distraction for Anxiety (VR-IMAGINE)

Start date: May 27, 2022
Phase: N/A
Study type: Interventional

Background: Magnetic resonance imaging (MRI) has been known for almost forty years to generate fear and anxiety. Children may become restless during scanning, which results in movement artifacts requiring the MRI to be repeated with sedation. Very few studies seemed to have looked at the effect of virtual reality (VR) on anxiety in children scheduled for an MRI and how to identify which children are more responsive. Objective: The aims of this study are three-fold: 1- to develop an algorithm of predictability based on biofeedback; 2- to address feasibility and acceptability of a pre-procedural immersive VR (IVR) game preparation for anxiety management during MRIs and 3- to examine the efficacy of IVR game preparation compared to usual care for the management of procedural anxiety during MRIs. Methods: This study will first consist of a field test phase with 10 participants, aged 7 to 17 years old, to develop a predictive algorithm for biofeedback solution and to address the feasibility and acceptability of the research. Following the field test, a RCT will be completed using a parallel design with two groups: 1) experimental group (pre-procedural IVR game preparation), 2) usual care group (standard care as per radiology department's protocol) in an equal ratio of 49 participants per group for a total of 98 participants. Recruitment will be done at CIUSSS de l'Est de l'Île de Montréal, Quebec, Canada. The experimental group will receive a pre-procedural IVR game preparation (IMAGINE) that offers an immersive simulation of the MRI. Participants will complete a questionnaire to assess the acceptability, feasibility and incidence of side effects related to the intervention and the biofeedback device. Data collected will include socio-demographic, clinical characteristics and measures of procedure related-anxiety with the French-Canadian version of the State-Trait Anxiety Inventory for Children (STAIC-F) and the Child Fear Scale (CFS, 0-4). Physiological signs will be noted and include heart rate, skin conductance, hand temperature and muscle tension. Measures of healthcare professionals, parents, and participants' level of satisfaction will also be collected. Analyses will be carried out according to the intention-to-treat principle, with a significance level (α) of 0.05. Conclusions: Our study provides an alternative method for anxiety management to better prepare patients for an awake MRI. The biofeedback will help predict which children are more responsive to this type of intervention. This study will guide future medical practice by providing evidence-based knowledge on a non-pharmacological therapeutic modality for anxiety management in children scheduled for an MRI.

NCT ID: NCT04979650 Enrolling by invitation - Clinical trials for Multiple Sclerosis, Relapsing-Remitting

Corticosteroid Effects on Asymptomatic Gadolinium-enhancing Lesions in Multiple Sclerosis

Start date: May 22, 2021
Phase: Phase 2
Study type: Interventional

to determine the rate of asymptomatic gadolinium-enhancing lesions conversion to the non-enhancing black hole (neBHs) with or without corticosteroid pulse therapy in patients with RRMS, and to analyze if treatment of asymptomatic gadolinium enhancement lesions has any effect on the expanded disability status scale. The study is performed in the MS clinic of Bu Ali Sina Hospital in Sari and Mazandaran University of Medical Sciences. 104 recurrent MS patients are admitted based on the admission criteria. They are divided into two groups of intervention and control based on a simple randomization block. The intervention group received 1 gram of methylprednisolone in 500 ccs of normal saline for 5 days and the control group received only 500 ccs of serum. After 6 months, a new MRI is taken from the patients and the possibility of asymptomatic active plaque conversion with or without intervention is compared in the two groups, as well as the amount of EDSS in the two groups. They do not know whether the patient is in the control group or the intervention.

NCT ID: NCT04973774 Recruiting - Clinical trials for Magnetic Resonance Imaging

A Multi-center Prospective Study of Branch Atheromatous Disease in China

Start date: June 1, 2021
Phase:
Study type: Observational [Patient Registry]

Branch atheromatous disease (BAD), is regarded as one of the important etiologies for acute isolated subcortical infarction, especially in Asian population. However, due to the fact that the existing imaging techniques cannot depict small vessel changes, the clinical diagnosis, therapy and research of BAD are facing challenges. We have started a multi-center prospective observational study of BAD in China, aiming at establishing a large-sample clinical-radiological cohort of BAD, analyzing predictors for functional outcome, and exploring the efficacy of tirofiban on BAD. A standardized Case Report Form (and eCRF on website) is used to collect baseline and follow-up information on epidemiological, clinical, radiological(MRI, SWI, MRA, HRMRI,3TVWI)and blood test. The primary outcome was mRS on 90 days with blind evaluation.

NCT ID: NCT04966182 Recruiting - Clinical trials for Magnetic Resonance Imaging

Application CT and MRI in Cerebral Venous Sinus Thrombosis

Start date: January 1, 2015
Phase:
Study type: Observational

Cerebral venous thrombosis (CVT) is a rare disease, and with poor prognosis. Computed tomography (CT) andmagnetic resonance imaging (MRI) are the most commonly used image modalities for patients with non-specific neurologic symptoms. We are going to assess the accuracy of CT and MRI in the differential diagnosis of CVT and cerebral venous sinus thrombosis (CVST).

NCT ID: NCT04945499 Recruiting - Clinical trials for Magnetic Resonance Imaging

The Application of Glucose CEST MR Imaging in Brain Tumor

Start date: June 1, 2019
Phase: Early Phase 1
Study type: Interventional

Recently, natural D-glucose was suggested as a potential biodegradable contrast agent. The feasibility of using D-glucose for dynamic perfusion imaging was explored to detect malignant brain tumors based on blood brain barrier breakdown. Our study try to evaluate the feasibility of dynamic glucose enhanced(DGE) magnetic resonance imaging(MRI)in brain tumor, which based on D-glucose weighted chemical exchange saturation transfer (gluceoCEST).

NCT ID: NCT04913896 Not yet recruiting - Gastric Cancer Clinical Trials

CT and MRI in Prediction of Response in Patients With Gastric Cancer Following Neoadjuvant Chemotherapy and/or Immunotherapy

Start date: June 1, 2021
Phase:
Study type: Observational [Patient Registry]

This is a prospective and observational clinical study for seeking out a better way to predict the pathologic complete response (pCR) in patients with advanced gastric cancer (AGC) based on the post-neoadjuvant treatment Magnetic Resonance Imaging (MRI) and CT data. This study will help the surgeons to better formulate treatment regimens for gastric cancer in the clinical practice.