20 research outputs found
Auswirkungen einer bevorstehenden CT Untersuchung auf die prÀdiagnostische Patientenangst
Bei der Anwendung bildgebender Verfahren kann es bei betroffenen Patienten zu Angstreaktionen kommen. Patienten wurden unmittelbar vor einer geplanten CT-Untersuchung mittels State-Trait Anxiety Inventory (STAI) befragt. Zudem wurden zehn Fragen zu spezifischen Ăngsten gestellt. Die statistische Analyse erfolgte mittels Studentâs t-Test, linearer Regressionsanalyse und Mann-Whitney-U-Test (p<5%). 852 Untersuchungen wurden analysiert. Frauen und Patienten vor geplanter Kontrastmittelgabe zeigten signifikant höhere STAI-Werte. Patienten mit Untersuchungen der ExtremitĂ€ten und Traumapatienten wiesen signifikant niedrigere STAI-Werte auf. Frauen zeigten signifikant gröĂere Ăngste als MĂ€nner in Bezug auf Strahlenexposition, Untersuchungsergebnisse, Kontrastmittelgabe und Klaustrophobie. Patienten mit Tumorerkrankungen zeigten signifikant gröĂere Angst bezĂŒglich der Untersuchungsergebnisse. Patientenangst ist ein PhĂ€nomen, welches auch bei der Anwendung der CT auftritt
T2 MR imaging vs. computational modeling of human articular cartilage tissue functionality
#AUGive: Reason #9 by David Faehner
Published on Nov 9, 2017 David Faehner lists the top ten reasons to give to Andrews during Giving Tuesday on November 28, 2017.https://digitalcommons.andrews.edu/auvideo/1062/thumbnail.jp
Multiparametric MRI and Computational Modelling in the Assessment of Human Articular Cartilage Properties: A Comprehensive Approach
Quantitative magnetic resonance imaging (qMRI) is a promising approach to detect early cartilage degeneration. However, there is no consensus on which cartilage component contributes to the tissueâs qMRI signal properties. T1, T1Ï, and T2â maps of cartilage samples (n=8) were generated on a clinical 3.0-T MRI system. All samples underwent histological assessment to ensure structural integrity. For cross-referencing, a discretized numerical model capturing distinct compositional and structural tissue properties, that is, fluid fraction (FF), proteoglycan (PG) and collagen (CO) content and collagen fiber orientation (CFO), was implemented. In a pixel-wise and region-specific manner (central versus peripheral region), qMRI parameter values and modelled tissue parameters were correlated and quantified in terms of Spearmanâs correlation coefficient Ïs. Significant correlations were found between modelled compositional parameters and T1 and T2â, in particular in the central region (T1: Ïsâ„0.7 [FF, CFO], Ïsâ€-0.8 [CO, PG]; T2â: Ïsâ„0.67 [FF, CFO], Ïsâ€-0.71 [CO, PG]). For T1Ï, correlations were considerably weaker and fewer (0.16â€Ïsâ€-0.15). QMRI parameters are characterized in their biophysical properties and their sensitivity and specificity profiles in a basic scientific context. Although none of these is specific towards any particular cartilage constituent, T1 and T2â reflect actual tissue compositional features more closely than T1Ï
Differentiation of human cartilage degeneration by functional MRI mappingâan ex vivo study
Towards Patient-Specific Computational Modelling of Articular Cartilage on the Basis of Advanced Multiparametric MRI Techniques
An MRI-compatible varusâvalgus loading device for whole-knee joint functionality assessment based on compartmental compression: a proof-of-concept study
Objective!#!Beyond static assessment, functional techniques are increasingly applied in magnetic resonance imaging (MRI) studies. Stress MRI techniques bring together MRI and mechanical loading to study knee joint and tissue functionality, yet prototypical axial compressive loading devices are bulky and complex to operate. This study aimed to design and validate an MRI-compatible pressure-controlled varus-valgus loading device that applies loading along the joint line.!##!Methods!#!Following the device's thorough validation, we demonstrated proof of concept by subjecting a structurally intact human cadaveric knee joint to serial imaging in unloaded and loaded configurations, i.e. to varus and valgus loading at 7.5Â kPa (=â73.5Â N), 15Â kPa (=â147.1Â N), and 22.5Â kPa (=â220.6Â N). Following clinical standard (PDw fs) and high-resolution 3D water-selective cartilage (WATSc) sequences, we performed manual segmentations and computations of morphometric cartilage measures. We used CT and radiography (to quantify joint space widths) and histology and biomechanics (to assess tissue quality) as references.!##!Results!#!We found (sub)regional decreases in cartilage volume, thickness, and mean joint space widths reflective of areal pressurization of the medial and lateral femorotibial compartments.!##!Discussion!#!Once substantiated by larger sample sizes, varus-valgus loading may provide a powerful alternative stress MRI technique