RöFo : Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin
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Recent magnetic resonance elastography (MRE) studies have reported the potential of this noninvasive method for diagnosing hepatic fibrosis based on the elastic properties of liver tissue. However, in many cases biological tissue responds to mechanical vibrations as a combined solid-liquid body causing MRE-derived elastic parameters to become functions of the applied vibration frequency. Therefore a multi-frequency MRE study of liver was performed and the potential of the method for separating healthy from fibrotic liver was investigated. The aim of this study was the increase of the accuracy of liver elastography by analyzing multi-frequency MRE examinations using the springpot model. ⋯ Using the springpot model, multi-frequency MRE is sensitive to interindividual differences in the hepatic viscoelastic properties of healthy volunteers. The obtained accuracy of the technique in separating healthy from fibrotic livers opens the possibility of applying multi-frequency MRE as a noninvasive method for diagnosing liver fibrosis in the future.
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Magnetic resonance imaging (MRI) has become a valuable tool for diagnosing and monitoring multiple sclerosis (MS). The high sensitivity for the detection of hyperintense lesions in T 2-weighted scans contributes substantially to diagnosis. The initial lesion number or lesion volume stands for an increased probability of further accumulation of lesion burden, an earlier conversion to clinically definite MS and progression of disability in the next 5 - 15 years. This diagnostic and prognostic information gained from MRI early in the disease course lead in 2001 to a revision of the diagnostic criteria. ⋯ This review provides an updated proposal for the approach and management of cranial and spinal MR scans in patients with MS. We describe the influence of variables which cannot be standardized (scanner, field strength, manufacturer and software) and outline potential pitfalls of clinical MR imaging in MS resulting from a non-standardized approach. This updated proposal for slice positioning, sequences and documentation is a result of a consensus process targeting systematic and standardized use in clinical MR evaluations of MS.
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Comparative Study
Intraindividual comparison of image quality in MR urography at 1.5 and 3 tesla in an animal model.
Experimental evaluation of image quality of the upper urinary tract in MR urography (MRU) at 1.5 and 3 Tesla in a porcine model. ⋯ In an experimental setup, MR urography at 3 Tesla allowed for significantly higher image quality and SNR compared to 1.5 Tesla, particularly for the visualization of the pelvicaliceal system.
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Intracranial hypertension can change the morphology of anatomical structures that are critical in the evaluation of pseudotumor syndromes. The purpose of our study was to establish the normal range of such markers of intracranial hypertension and to consider a dependency on sex, age and body-mass index (BMI). ⋯ The presented typical values and their deviations serve as a basis for the evaluation of pathologies in patients suspected of having pseudotumor syndrome.
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In the case of major trauma, immediate recognition and treatment of life-threatening conditions are essential. An increasing number of European trauma centers use MSCT during the primary trauma survey due to its high diagnostic precision and speed. However, there is currently little empirical data about failures in this process to practice quality assurance. The aim of this study was to evaluate this process under operating resuscitation conditions and to identify failure modes that caused delays in completion. ⋯ Under "front line" conditions every fifth CCT and every fourth TCT study was completed with a median delay of 5 min. An independent process analysis revealed that unpreventable delays were due to uncooperative patients or system failure. Preventable delays were due to errors such as short intravenous lines or deviation from trauma room algorithms. Preventable delays could be avoided by addressing human and technical aspects such as revising checklists and functional architecture of the trauma bay. The failure mode and effect analysis (FMEA) method would assure quality in this process.