View clinical trials related to MRI.
Filter by:This study aims to validate the value of tumor involvement features based on MRI in cervical cancer, facilitate the development of a more appropriate model for risk stratification, and help patients with varying risk profiles make appropriate decisions in treatment selection and follow-up plans.
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
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.
HFNO CAN BE USED AS A PREOXYGENATION TECHNIQUE BUT IS IT A SAFE TECHNIQUE IN TERMS OF GASTRIC INSUFFLATION?
In nuclear medicine PET examinations, labeled radiopharmaceuticals are possible to enter the putamen and caudate nucleus regions of the striatum in the brain by intravenous injection. The severity of Parkinson's disease is assessed and diagnosed by quantitative analysis of the defect in the image of the radiopharmaceuticals. Clinical studies often use manual selection of regions of interest (ROIs) for quantitative analysis. However, this method causes human error and low reproducibility due to subjective factors, and also considerable time consuming. Therefore, in order to solve the above problems, this research project plans to build an automated quantitative analysis system for PET/MRI images. The quantitative analysis of the PET images is performed automatically by using the putamen and caudate ROI segmented by the MRI images. This automated quantitative analysis system is expected to improve the time-consuming, low reproducibility, and subjectivity problems of traditional manual ROI selection method, and provide a useful tool for the diagnosis of early PD. In the first year, this sub-project is expected to perform MRI T1 and 18F-FDOPA PET scanning of before and after acupuncture-treated PD patients provided by sub-project 3. In the second year, the correlation analysis will be made with the results of tremor test provided by sub-project 1 and that of the 99mTc-TRODAT SPECT image quantification provided by sub-project 4.