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At least 127 records · Page 7Linked to original sources

Three-dimensional volumetric display of CT data: effect of scan parameters upon image quality.

Of the many steps involved in producing high quality three-dimensional (3D) images of CT data, the data acquisition step is of greatest consequence. The principle of "garbage in, garbage out" applies to 3D imaging--bad scanning technique produces equally bad 3D images. We present a formal study of the effect of two basic scanning parameters, slice thickness and slice spacing, on image quality. Three standard test objects were studied using variable CT scanning parameters. The objects chosen were a bone phantom, a cadaver femur with a simulated 5 mm fracture gap, and a cadaver femur with a simulated 1 mm fracture gap. Each object was scanned at three collimations: 8, 4, and 2 mm. For each collimation, four sets of scans were performed using four slice intervals: 8, 4, 3, and 2 mm. The bone phantom was scanned in two positions: oriented perpendicular to the scanning plane and oriented 45 degrees from the scanning plane. Three-dimensional images of the resulting 48 sets of data were produced using volumetric rendering. Blind review of the resultant 48 data sets was performed by three reviewers rating five factors for each image. The images resulting from scans with thin collimation and small table increments proved to rate the highest in all areas. The data obtained using 2 mm slice intervals proved to rate the highest in perceived image quality. Three millimeter slice spacing with 4 mm collimation, which clinically provides a good compromise between image quality and acquisition time and dose, also produced good perceived image quality. The studies with 8 mm slice intervals provided the least detail and introduced the worst inaccuracies and artifacts and were not suitable for clinical use. Statistical analysis demonstrated that slice interval (i.e., table incrementation) was of primary importance and slice collimation was of secondary, although significant, importance in determining perceived 3D image quality.

Data Display↗

Tutorials in clinical research: part III. Selecting a research approach to best answer a clinical question.

OBJECTIVE: This is the third in a series of sequential "Tutorials in Clinical Research." The objectives of this specific report are to enable the reader to rapidly dissect a clinical question or article to efficiently determine what critical mass of information is required to answer the question and what study design is likely to produce the answer. STUDY DESIGN: Tutorial. METHODS: The authors met weekly for 3 months exploring clinical problems and systematically recording the logic and procedural pathways from multiple clinical questions to the selection of proper research approaches. The basic elements required to understand the processes of selection were catalogued and field tested, and a report was produced to define and explain these elements. RESULTS: Fundamental to a research approach is the assembly of subjects and the allocation of exposures. An algorithm leading to the selection of an approach is presented. The report is organized into three parts. The tables serve as a rapid reference section. The initial two-part narrative explains the process of approach selection. The examples section illustrates the application of the selection algorithm. CONCLUSIONS: Selecting the proper research approach has six steps: the question, logic and ethics,identification of variables, data display considerations, original data source considerations, and selection of prototypical approaches for assembly of subjects. Field tests of this approach consistently demonstrated its utility.

Algorithms↗

A feedback model for applied research on tobacco control.

Although the health communication program feedback cycle is frequently referenced, the steps for moving between or within the sections of the model in a public health environment are rarely described. We detail the process by which the Texas Tobacco Research Consortium implemented the stage of "assessing effectiveness and making refinement" and expanded it to include a program assessment feedback model. Tools were developed to move the consortium through five stages of the expanded program assessment feedback model: 1) formulate research questions using logic models to identify key evaluation items, 2) format data displays from multiple data sources to address research questions, 3) use a facilitated group process to present and review research findings, 4) prepare group recommendations, and 5) involve local partners to translate recommendations into practice. The process allowed us to sift through a large volume of information and prepare data-based program recommendations. A Web-based reporting system provided timely access to community-based program activity data and process indicators that, when linked to logic models, provided actionable items for program improvement. Partnerships among researchers and state and local practitioners created the conditions for implementing the recommendations. Program changes included revisions to program materials, target audiences, and evaluation instruments for a community-based tobacco-cessation campaign. The systematic approach allowed translation of research into practice and should be applicable to other areas of population-based health promotion.

Health Education↗

[An example of applied data processing in medicine: medical management in a dialysis center].

An application of computers to haemodialysis units is presented. In fact these centers are characterised by an enormous amount of data which should benefit from computerization, and therefore in the haemodialysis unit of the Cantonal Hospital, Fribourg, a program has been developed to handle medical data. This program, as far as we know the only one of its kind in Switzerland, has already been in use for the last 9 months. Swiftly, surely and simply it allows storage and retrieval of all the administrative and medical data of each patient. Facility of data retrieval, graphic data display and automatic data evaluation has been found to improve clinical management of patients. It also considerably facilitates scientific work. Once the adaptation period is over it permits definite time savings. We are convinced that, after the necessary period of introduction, computers can be of considerable help in medical care.

Computers↗

Graphical display of categorical data.

Categorical data are usually displayed in medical publications with pie graphs and bar graphs. We here consider some of the problems that occur in displaying the rank, magnitude, width, and spacing of categorical data. A solution to some of these problems is offered by the dot chart, which has been used in other scientific literature, but not in medical publications. The dot chart can be a preferred alternative to pie graphs and offers a useful alternative to bar graphs. Dot charts can also be helpful in displaying categorical data for two groups.

Data Display↗

Describing data: statistical and graphical methods.

An important step in any analysis is to describe the data by using descriptive and graphic methods. The author provides an approach to the most commonly used numeric and graphic methods for describing data. Methods are presented for summarizing data numerically, including presentation of data in tables and calculation of statistics for central tendency, variability, and distribution. Methods are also presented for displaying data graphically, including line graphs, bar graphs, histograms, and frequency polygons. The description and graphing of study data result in better analysis and presentation of data.

Brain Neoplasms↗

[Simulation and display methods of spatial data in landscape ecology].

Simulating and display ecological data over large geographic areas require much time, many resources, and considerable special training. Based on the latest researches all over the world, 7 simulation methods of ecological spatial data and 4 data display formats were reviewed, and several sampling ways were also discussed. Sample density and its spatial distribution, spatial dependence, and estimation accuracy were primarily considered to be the major factors influencing surface representation.

Computer Simulation↗

Information technology and CPP management in neuro intensive care.

This study developed and tested the acceptability of a computer interface intended to provide better information about CPP to Neuro Intensive Care nurses. Maintaining adequate CPP is crucial in preventing secondary brain injury, yet current monitoring data displays have poor ergonomics that minimize usable information for clinicians. Information systems developmental methods were used to 1) formulate the model for CPP information display, 2) develop the system with end-users, and 3) install the system in the Neuro Intensive Care Unit. System testing for effects on clinicians and patient outcomes is occurring in a randomized clinical trial. Metaphor graphic and universal graphic displays were tested with 37 staff nurses from three intensive care units using continuous ICP monitoring. Nursing staff preferred an augmented universal data display to the metaphor graphics, endorsing a modified trend area graph with threshold-dependent properties. The preferred model was programmed in Visual Basic and installed on small computers that were randomly allocated as live or blank displays to beds of newly admitted head injury or aneurysmal subarachnoid hemorrhage patients with continuous monitoring. Nursing acceptability of the information interface was achieved through the use of end-user focus groups that resulted in modifying the metaphor graphic approach to a more readily understandable one.

Brain Injuries↗

Converting data into information.

Transforming data into information is a challenge to all professionals working in the quality arena. Reams of data do not provide the answers being sought to challenging questions. Several continuous quality improvement tools, including run charts, control charts, and Pareto charts, can be used to visually display data and provide further ideas for analysis. This article describes in detail when to use these tools and how to construct and use them. Examples from hospital settings further illustrate their benefit in converting data to information.

Data Display↗

Displaying 3D data on RNA secondary structures: coloRNA.

RNA performs a variety of diverse functions and therefore must adopt many different three-dimensional conformations. The number and complexity of RNA structures that are currently available are steadily increasing, necessitating the generation of versatile structure visualization tools. Here, we describe a new RNA secondary and tertiary structure visualization tool, the display program coloRNA. This program colors each nucleotide in a secondary structure schematic according to the value of an assigned property of the corresponding backbone phosphate group, such as the distance between corresponding residues in two atomic models of the same RNA molecule. To assist in analyzing tertiary structure, coloRNA also colors nucleotides based on the three-dimensional distances between a user-selected nucleotide and all others. Minimum and maximum thresholds can be used to focus in on, or eliminate, a particular value range. coloRNA can display a user-specified group of nucleotides by outlining the structure in an automatically assigned, but user-changeable color. As an example, we have used coloRNA to analyze a pair of recently published structures of the Escherichia coli 70S ribosome. When coloRNA is used to display the conformational difference between the two structures, the large movement of the small subunit head stands visually out from the background changes in the remaining domains of the small subunit.

Escherichia coli↗

Microsatellite instability in colorectal cancer: improved assessment using fluorescent polymerase chain reaction.

BACKGROUND & AIMS: Microsatellite instability was first described in hereditary nonpolyposis colorectal cancers and sporadic colorectal cancers, in which it was associated with a good prognosis. The aim of this study was to assess the advantages of a novel fluorescent assay for detecting microsatellite instability. METHODS: Eleven fluorescently tagged microsatellites and an automated DNA sequencer were used to investigate 54 sporadic colorectal adenocarcinomas. RESULTS: This fluorescent assay combined accurate allele sizing with cross-sectional data display and allowed improved assessment of microsatellite instability. Twenty-two percent of cancers (12 of 54) showed microsatellite instability with at least one marker. For tumors showing microsatellite instability, results were obtained for a minimum of eight markers. Six tumors showed microsatellite instability at high frequency (at least 63% of markers affected), and 42% of the patients who had a tumor showing microsatellite instability had a synchronous and/or metachronous colorectal tumor (vs. 7% of patients whose tumor did not show microsatellite instability). Patients with a microsatellite instability-positive tumor had an improved prognosis (P = 0.03). CONCLUSIONS: The use of this fluorescent assay improved the assessment of microsatellite instability with the automated analysis and cross-sectional data display. The assay identified a subgroup of patients who showed microsatellite instability and who also showed clinical features that differed from the microsatellite instability-negative cases.

Adenocarcinoma↗

Interaction of human low density lipoprotein and apolipoprotein B with ternary lipid microemulsion. Physical and functional properties.

Based on data from sedimentation velocity experiments, electrophoresis, electron microscopy, cellular uptake studies, scanning molecular sieve chromatography using a quasi-three-dimensional data display and flow performance liquid chromatography (FPLC), models for the interaction of human serum low density lipoprotein (LDL) and of apolipoprotein B (apo B) with a ternary lipid microemulsion (ME) are proposed. The initial step in the interaction of LDL (Stokes radius 110 A) with the ternary microemulsion (Stokes radius 270 A) appears to be attachment of the LDL to emulsion particles. This attachment is followed by a very slow fusion into particles having a radius of approx. 280 A. Sonication of this mixture yields large aggregates. Electron micrographs of deoxycholate-solubilized apo B indicate an arrangement of apo B resembling strings of beads. During incubation, these particles also attach to the ternary microemulsion particles and, upon sonication, spherical particles result which resemble native LDL particles in size. Scanning chromatography corroborates the electron microscopy results. By appropriate choice of display angles in a quasi-three-dimensional display of the scanning data (corrected for gel apparent absorbance) taken at equal time intervals during passage of a sample through the column, changes in molecular radius of less than 10 A can be detected visually. Such a display gives a quantitative estimate of 101 +/- 2 A for these particles (compared to 110 A for native LDL). The LDL-ME particles and apo B-ME particles compete efficiently with native LDL for cellular binding and uptake. Cellular association studies indicate that both LDL- and apo B-ME particles are effective vehicles for lipid delivery into cells.

1,2-Dipalmitoylphosphatidylcholine↗

Kinetic analysis of ligand-receptor association data that display an overshoot phenomenon.

A binding overshoot was frequently observed in the time course of association of diazepam with rat brain membrane receptors shortly after the start of the interaction. Such time profiles most likely reflect the "receptor switch" mechanism, assuming an equilibrium between two forms of a receptor (R and R*) that possess different affinities to the ligand (L) in question. Similar effects could be caused by the presence of a slowly dissociating competitor. The kinetics of these mechanisms were verified by simulation of theoretical time courses. A computer program for simulation of the time course, and estimation of rate constants of the individual reaction steps, was developed and is described in this communication. It employs the Euler-Cauchy integration for simulation of theoretical time courses. Optimised estimates of the rate constants were computed by simultaneous random variation of parameters within a pre-set interval. Stable solutions can be obtained for this system, thus enabling evaluation of equilibrium constants defined by the model. The source code is available in Turbo-Pascal. It can be used, after re-writing the rate equations, for fitting of similar kinetic models to suitable experimental data.

Animals↗

The accuracy of 'power' maps to display curvature data in corneal topography systems.

PURPOSE: To quantify the error introduced by videokeratographic corneal topography devices in using a paraxial formula to calculate power over the entire corneal surface, including areas removed from the central paraxial region where the formula is known to be invalid. METHODS: Corneal refractive power and two paraxial power approximations were computed as a function of distance from the apex for three theoretical surfaces, a sphere and two ellipsoids with 0.3 and 0.5 eccentricities. Color dioptric maps were then theoretically created. RESULTS: For the spherical surface, both curvature-based paraxial power approximations were uniform over the entire surface because curvature is constant. However, the corneal refractive power increased from center to periphery, demonstrating the known phenomenon of spherical aberration. For the ellipsoids, which have been shown to model the human cornea, curvature-based power approximations decreased from center to periphery because the curvature flattens peripherally. However, refractive power increased from center to periphery. The limits of the central paraxial region for these surfaces was shown to be approximately 2 mm in diameter for the paraxial power approximation used by videokeratographic devices to measure 8 mm in diameter. CONCLUSIONS: The direct correlation between corneal curvature and power with which clinicians are familiar is not valid in the peripheral regions measured by videokeratographic devices. Topographic devices measure curvature, which should not be interpreted as corneal power except in the central region. A recommendation to device manufacturers is to display "color curvature maps" instead of color dioptric maps, and to label the color bar with curvature values instead of power.

Cornea↗