View clinical trials related to MRI.
Filter by:Insomnia is a common sleep disorder. In recent years, the incidence of insomnia is increasing worldwide. Studies point out that insomnia plays an important role in the pathogenesis of cognitive impairment. Although sleep and cognitive scales are the main methods to detect sleep quality and cognitive changes, there are problems such as strong subjectivity and poor repetition. There is an urgent need to use non-invasive and objective detection methods to assess the potential mechanisms of cognitive impairment caused by sleep disorders. Previous studies have shown that different brain states may show different neurovascular coupling (NVC) characteristics. However, after prolonged sleep deprivation, the evoked hemodynamics response was attenuated despite an increased electroencephalogram (EEG) signal response, suggesting that sustained neural activity may reduce vascular compliance. It is suggested that sleep disorder may lead to NVC disorder. However, whether sleep disorders regulate the mechanism of cognitive impairment in the brain through NVC disorders has not been demonstrated in vivo. Currently, functional magnetic resonance imaging (fMRI) can be used to study brain function and blood flow changes non-invasively. In our previous research, we combined cerebral blood flow (CBF) with mean amplitude of low-frequency fluctuation (mALFF), mean regional homogeneity (mReHo) and degree-centrality (DC), the early warning effect of fMRI features based on neurovascular uncoupling on early cognitive impairment was confirmed, providing a basis for further selection of functional imaging indicators. In conclusion, the present study proposes the scientific hypothesis that neurovascular decoupling-based MRI features are more appropriate for exploring the neural mechanisms underlying sleep disorders-induced brain cognitive impairment. The aim of this study is to establish an early warning and monitoring system for early non-invasive diagnosis and intervention of sleep-related cognitive impairment.
This monocentric methodological study aims at optimizing advanced MR sequences for image quality (reduced artefacts, signal to noise ratio, acquisition time, stability of quantitative measurements) on a new MR unit dedicated to research in clinical and cognitive neuroscience.
Urinary bladder tumors with a frequency of 13000 new cases a year, have a heterogeneity in terms of survival according to the stage of local flooding. This is an aggressive tumor because of the potential muscular infiltration. It seems important in this case (muscular invasion), to increase the global survival. The anatomopathological analysis of the TURB (biopsy byTrans-Urethral Resection of the Bladder) is actually the gold standard for the pathology of bladder tumor. No need an imaging to discuss about the small and non muscular invasive tumor. But in most cases, the use is to perform at last an ultrasound or a CT-Scan, specially for the invasive tumor. A lot of studies show that CT SCAN. is not the best way of investigation for the bladder muscle invasion. However, as in the prostate cancer with the PIRADS Score, the MRI can be useful for the bladder, thanks to the sequence improvement to the machine. The study from Panebianco 2018, starts to talk about the MRI in the urinary bladder cancer with new radiological terms. It creates a new score called VIRADS score (as the PIRADS score already used for the prostate cancer). But it is never compared with the results of the TURB. Our study compares the results of the MRI pre operative versus the pathology results on prospective analysis. Main objective : T tumoral score in urinary bladder tumor : MRI versus pathology results. Secondary objectives : the contribution of diffusion weighted MRI in the bladder neoplasm. Type of study : interventional study, prospective, mono centric, single arm, intent-to-treat
The aim of the present study is to show that the use of 0.55T MRI combined with a "dental" coil produces images of sufficient diagnostic value to assess areas of interest in dentistry, and to compare MR images to traditional, dental-oriented radiographic images for diagnostic purposes.
Primary sclerosing cholangitis (PSC) is a chronic progressive biliary disease. Due to the heterogeneous disease course and the relatively low clinical event rate of 5% per year it is difficult to predict prognosis of individual patients. Novel imaging techniques called MRCP+ and Liver Multiscan (LMS) hold the prospect of adequate depicting and quantifying lesions of the biliary tree as well as capturing functional derailment. However, these features must be tested first. The purpose of this study is to assess the (i) ability of MRCP+ to detect change in biliary volume, (ii) reproducibility of MRCP+ and LMS, and (iii) correlation of MRCP+ with ERC findings as gold standard.
This clinical trial studies the use of 7-Tesla (7T)and 3T magnetic resonance imaging (MRI) in detecting osteoarthrosis. 7T MRI has increased detection sensitivity, including more accurate lesion delineation, higher inter-rater agreement. Diagnostic procedures such as 7T MRI may help ultimately improved diagnostic and therapies confidence to inform decision making than standard 3T MRI.
This clinical trial studies the use of 7-Tesla (7T)and 3T magnetic resonance imaging (MRI) in detecting brain diseases. 7T MRI has increased detection sensitivity, including more accurate lesion delineation, higher inter-rater agreement. Diagnostic procedures such as 7T MRI may help ultimately improved diagnostic and therapies confidence to inform decision making than standard 3T MRI.
Primary and secondary brain tumors are challenging pathologies regarding diagnosis and treatment. MRI is widely used in the imaging evaluation and surgical planning, due to its spatial resolution and ability of tissular characterization. In this study patients with suspected brain tumors, confirmed by routine MRI evaluation (T1, T2, T2*, FLAIR, T1 with contrast sequences) will undergo DWI and DTI evaluation. By analyzing collected data from MRI evaluation and patient records regarding surgical and histopathological data our aim is to investigate derived imaging biomarkers with impact in the surgical planning and rehabilitation of the patients.
Non-invasive MRI subclassification of Heptocellular Carcinoma - HepCaSt-Study
Cerebral small vessel disease (cSVD) accounts for 20% of ischemic strokes and is the most common cause of vascular cognitive impairment. Early identification of cSVD is critical for early intervention and improve clinical outcomes. Magnetic resonance imaging (MRI) may represent as a sensitive and robust tool to detect early changes in brain subtle structures and functions. The study is to investigate the comprehensive evaluation of brain structures and vascular functions by using advanced MRI technologies in early diagnosis and management of cSVD.