PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Characterization”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 217 records · Page 12Linked to original sources

A new approach for plant proteomics: characterization of chloroplast proteins of Arabidopsis thaliana by top-down mass spectrometry.

A recently developed methodology for the characterization of complex proteomes, top-down Fourier transform mass spectrometry (FTMS), is applied for the first time to a plant proteome, that of the model plant Arabidopsis thaliana. Of the 3000 proteins predicted by the genome sequence, 97 were recently identified in two separate "bottom-up" mass spectrometry studies in which the proteins were purified and digested and in which the mass spectrometry-measured mass values of the resulting peptides matched against those expected from the DNA-predicted proteins. In the top-down approach applied here, molecular ions from a protein mixture are purified, weighed exactly (+/-1 Da), and fragmented in the FTMS. Of the 22 molecular weight values found in three isolated mixtures, 7 were chosen, and their primary structures were fully characterized; in only one case was the bottom-up structure in full agreement. The top-down technique is not only efficient for identification of the DNA-predicted precursors, such as that of a protein present as a 5% mixture component, but also for characterization of the primary structure of the final protein. For two proteins the previously predicted cleavage site for loss of the signal peptide was found to be incorrect. Two 27-kDa proteins are fully characterized, although they are found to differ by only 12 residues and 6 Da in mass in a 3:1 ratio; the bottom-up studies did not distinguish these proteins. Direct tandem mass spectrometry dissociation of two 15-kDa molecular ions showed >90% sequence similarity, whereas three-stage mass spectrometry traced their +14-Da molecular mass discrepancies to an unusual N-methylation on the N-terminal amino group; the bottom-up approach identified only one precursor protein. The high potential of the top-down FTMS approach for characterization as well as identification of complex plant proteomes should provide a real incentive for its further automation.

Amino Acid Sequence↗

Physical characterization of pharmaceutical formulations in frozen and freeze-dried solid states: techniques and applications in freeze-drying development.

Physical characterization of formulations in frozen and freeze-dried solid states provides indispensable information for rational development of freeze-dried pharmaceutical products. This article provides an overview of the physical characteristics of formulations in frozen and freeze-dried solid states, which are essential to both formulation and process development. Along with a brief description of techniques often used in physical characterization for freeze-drying development, applications of and recent improvements to these techniques are discussed. While most of these techniques are used conventionally in physical characterization of pharmaceuticals, some techniques were designed or modified specifically for studies in freeze-drying. These include freeze-drying microscopy, freeze-drying X-ray powder diffractometry and cryoenvironmental scanning microscopy, which can be used to characterize the physical properties of the formulation under conditions similar to the real vial lyophilization process. Novel applications of some conventional techniques, such as microcalorimetry and near infrared (NIR) spectroscopy, which facilitated freeze-drying development, receive special attention. Research and developmental needs in the area of physical characterization for freeze-drying are also addressed, particularly the need for a better understanding of the quantitative correlation between the molecular mobility and the storage stability (shelf life).

Animals↗

Photon backscattering tissue characterization by energy dispersive spectroscopy evaluations.

Techniques for in vivo tissue characterization based on scattered photons have usually been confined to evaluating coherent and Compton peaks. However, information can also be obtained from the energy analysis of the Compton scattered distribution. This paper looks at the extension of a technique validated by the authors for characterizing tissues composed of low-atomic-number elements. To this end, an EDXRS (energy dispersive x-ray spectrometry) computer simulation procedure was performed and applied to test the validity of a figure of merit able to characterize binary compounds. This figure of merit is based on the photon fluence values in a restricted energy interval of the measured distribution of incoherently scattered photons. After careful experimental tests with 59.54 keV incident photons at scattering angles down to 60degrees, the simulation procedure was applied to quasi-monochromatic and polychromatic high-radiance sources. The results show that the characterization by the figure of merit, which operates satisfactorily with monochromatic sources, is unsatisfactory in the latter cases, which seem to favour a different parameter for compound characterization.

Computer Simulation↗

Spectral characterization of local magnetic field inhomogeneities.

The purpose of this study was the characterization of local magnetic susceptibility deviations by spectral analysis of their induced magnetic field inhomogeneities. Magnetic resonance spectra and related signal decay curves of local susceptibility deviations were simulated for different volume fractions and compositions of the object within the VOI. The size or composition of the object was varied at constant volume fraction, constant object size, or at constant 'magnetic strength' (defined as the product of the volume and the volume susceptibility of the object). Experimental spectra were acquired for individual metal spherical particles and a spherical air cavity. Where possible, spectra were used to characterize objects in terms of volume and composition. By simulations, a numerical relation was determined between the spectral broadening and the object's volume and composition. Comparison of spectra for various spherical objects showed the possibility of characterization with respect to size and composition. Experimental results confirmed the numerical results to a large extent, although the characterization was compromised by background signal decay, low volume fractions and limitations in signal-to-noise. In conclusion, spectral description of the field inhomogeneities related to small objects allows characterization of such objects with respect to size and composition. Practical applicability of the simulation results depends on background signal decay and volume fraction of the object.

Animals↗

Research strategies for safety evaluation of nanomaterials. Part VI. Characterization of nanoscale particles for toxicological evaluation.

To properly assign mechanisms or causes for toxic effects of nanoscale materials, their properties and characteristics both outside and within the biological environment must be well understood. Scientists have many tools for studying the size, shape, and surface properties of particulates outside of the physiological environment; however, it is difficult to measure many of these same properties in situ without perturbing the environment, leading to spurious findings. Characterizing nanoparticle systems in situ can be further complicated by an organism's active clearance, defense, and/or immune responses. As toxicologists begin to examine nanomaterials in a systematic fashion, there is consensus that a series of guidelines or recommended practices is necessary for basic characterization of nanomaterials. These recommended practices should be developed jointly by physical scientists skilled in nano characterization and biological scientists experienced in toxicology research. In this article, basic nanoparticle characterization techniques are discussed, along with the some of the issues and implications associated with measuring nanoparticle properties and their interactions with biological systems. Recommendations regarding how best to approach nanomaterial characterization include using proper sampling and measurement techniques, forming multidisciplinary teams, and making measurements as close to the biological action point as possible.

Drug Evaluation, Preclinical↗

Characterizing and treating dizziness after mild head trauma.

OBJECTIVE: The objectives of this study were to characterize patterns of dizziness seen after mild head trauma and to examine the diagnosis and treatment of this disorder. STUDY DESIGN: Prospective patient registry. SETTING: Tertiary referral center. PATIENTS: Fifty-eight cases of active duty and retired military personnel who sustained mild head trauma and had resultant dizziness. INTERVENTIONS: Vestibular evaluation, characterization by group, and treatment. MAIN OUTCOME MEASURES: Outcome measures include characterization of diagnosis types, patient distribution by diagnosis type, and patient outcome. RESULTS: Individuals suffering from dizziness after mild head injury were divided into three diagnostic groups. Forty-one percent of the individuals suffered from posttraumatic vestibular migraines, 28% of the individuals had posttraumatic positional vertigo, and 19% of the individuals were classified as posttraumatic spatial disorientation. The remaining 12% of the patients could not be characterized. The positional group had objective physical examination findings, which cleared with treatment in all cases. The migraine group of patients and the disorientation group of patients had distinct abnormalities of the vestibulo-ocular reflex (VOR) and the vestibulo-spinal reflex (VSR). Eighty-four percent of the migraine group demonstrated an improvement of these test results as compared with 27% of the disorientation group. Mean time to return to work was less than 1 week for the positional group, 3.8 weeks for the migraine group, and greater than 3 months for the disorientation group. CONCLUSIONS: Using our patient registry of individuals suffering from dizziness after mild head trauma, we were able to characterize the majority of these cases into one of three more specific diagnostic groups. We present diagnostic criteria, suggested treatment guidelines, and our prognostic data.

Adult↗

Color-coded automated signal intensity curves for detection and characterization of breast lesions: preliminary evaluation of a new software package for integrated magnetic resonance-based breast imaging.

OBJECTIVES: The objective of this study was to evaluate the value of a color-coded automated signal intensity curve software package for contrast-enhanced magnetic resonance mammography (CE-MRM) in patients with suspected breast cancer. MATERIALS AND METHODS: Thirty-six women with suspected breast cancer based on mammographic and sonographic examinations were preoperatively evaluated on CE-MRM. CE-MRM was performed on a 1.5-T magnet using a 2D Flash dynamic T1-weighted sequence. A dosage of 0.1 mmol/kg of Gd-BOPTA was administered at a flow rate of 2 mL/s followed by 10 mL of saline. Images were analyzed with the new software package and separately with a standard display method. Statistical comparison was performed of the confidence for lesion detection and characterization with the 2 methods and of the diagnostic accuracy for characterization compared with histopathologic findings. RESULTS: At pathology, 54 malignant lesions and 14 benign lesions were evaluated. All 68 (100%) lesions were detected with both methods and good correlation with histopathologic specimens was obtained. Confidence for both detection and characterization was significantly (P < or = 0.025) better with the color-coded method, although no difference (P > 0.05) between the methods was noted in terms of the sensitivity, specificity, and overall accuracy for lesion characterization. Excellent agreement between the 2 methods was noted for both the determination of lesion size (kappa = 0.77) and determination of SI/T curves (kappa = 0.85). CONCLUSIONS: The novel color-coded signal intensity curve software allows lesions to be visualized as false color maps that correspond to conventional signal intensity time curves. Detection and characterization of breast lesions with this method is quick and easily interpretable.

Adult↗

Characterization of piezoceramic rectangular parallelepipeds by means of a two-dimensional model.

The characterization of piezoelectric resonators is a field of intense scientific work; moreover, clear and accepted IEEE and IEC Standards have been published, showing the concepts and routes to perform the complete characterization of piezoelectric resonators. All of the accepted procedures define some resonator geometries, each of them related with a set of parameters, that can be obtained following resonance measurements at the corresponding resonance frequencies. The basis of the standards is the existence, for each geometry, of well-defined modes that have been analytically solved. The development of multi-dimensional models of the waves' propagation in piezoceramic materials opens the possibility of characterizing piezoelectric resonators with geometries different from those recommended in the standards. In this paper, a two-dimensional model, which takes into account the mechanical and dielectric losses, has been used to characterize piezoceramics with the shape of a regular parallelepiped. A set of elastic, dielectric, and piezoelectric parameters, which are useful for piezoelectric transducer design, can be obtained. For a given sample, the measured input electrical impedance is used to obtain the parameters by means of a fitting process with the corresponding model output. The results obtained with low and high loss materials show that the parameters found have values similar to those obtained following the procedures and geometries recommended by the standards. This procedure permits the characterization of materials when the manufacturing procedure does not allow the fabrication of the shapes recommended by the standards, making it a useful tool for transducer manufacturers and material scientists.

Journal Article↗

Expression, purification, and characterization of Thermotoga maritima membrane proteins for structure determination.

Structural studies of integral membrane proteins typically rely upon detergent micelles as faithful mimics of the native lipid bilayer. Therefore, membrane protein structure determination would be greatly facilitated by biophysical techniques that are capable of evaluating and assessing the fold and oligomeric state of these proteins solubilized in detergent micelles. In this study, an approach to the characterization of detergent-solubilized integral membrane proteins is presented. Eight Thermotoga maritima membrane proteins were screened for solubility in 11 detergents, and the resulting soluble protein-detergent complexes were characterized with small angle X-ray scattering (SAXS), nuclear magnetic resonance (NMR) spectroscopy, circular dichroism (CD) spectroscopy, and chemical cross-linking to evaluate the homogeneity, oligomeric state, radius of gyration, and overall fold. A new application of SAXS is presented, which does not require density matching, and NMR methods, typically used to evaluate soluble proteins, are successfully applied to detergent-solubilized membrane proteins. Although detergents with longer alkyl chains solubilized the most proteins, further characterization indicates that some of these protein-detergent complexes are not well suited for NMR structure determination due to conformational exchange and protein oligomerization. These results emphasize the need to screen several different detergents and to characterize the protein-detergent complex in order to pursue structural studies. Finally, the physical characterization of the protein-detergent complexes indicates optimal solution conditions for further structural studies for three of the eight overexpressed membrane proteins.

Circular Dichroism↗

Reproductive and developmental risks from ethylene oxide: a probabilistic characterization of possible regulatory thresholds.

Ethylene oxide is a gas produced in large quantities in the United States that is used primarily as a chemical intermediate in the production of ethylene glycol, propylene glycol, non-ionic surfactants, ethanolamines, glycol ethers, and other chemicals. It has been well established that ethylene oxide can induce cancer, genetic, reproductive and developmental, and acute health effects in animals. The U.S. Environmental Protection Agency is currently developing both a cancer potency factor and a reference concentration (RfC) for ethylene oxide. This study used the rich database on the reproductive and developmental effects of ethylene oxide to develop a probabilistic characterization of possible regulatory thresholds for ethylene oxide. This analysis was based on the standard regulatory approach for noncancer risk assessment, but involved several innovative elements, such as: (1) the use of advanced statistical methods to account for correlations in developmental outcomes among littermates and allow for simultaneous control of covariates (such as litter size); (2) the application of a probabilistic approach for characterizing the uncertainty in extrapolating the animal results to humans; and (3) the use of a quantitative approach to account for the variation in heterogeneity among the human population. This article presents several classes of results, including: (1) probabilistic characterizations of ED10s for two quantal reproductive outcomes-resorption and fetal death, (2) probabilistic characterizations of one developmental outcome-the dose expected to yield a 5% reduction in fetal (or pup) weight, (3) estimates of the RfCs that would result from using these values in the standard regulatory approach for noncancer risk assessment, and (4) a probabilistic characterization of the level of ethylene oxide exposure that would be expected to yield a 1/1,000 increase in the risk of reproductive or developmental outcomes in exposed human populations.

Animals↗

RHD(T201R, F223V) cluster analysis in five different ethnic groups and serologic characterization of a new Ethiopian variant DARE, the DIII type 6, and the RHD(F223V).

BACKGROUND: The RHD phylogeny in humans shows four main clusters of which three are predominantly observed in (African) black persons. Each of the African clusters is characterized by specific amino acid substitutions relative to the Eurasian RHD allele. RH phylogeny defines the framework for identification of clinically relevant aberrant alleles. This study focuses on the weak D type 4 cluster (characterized by RHD(T201R, F223V) (602C>G 667T>G)) in five ethnic groups. STUDY DESIGN AND METHODS: A total of 1702 samples were screened for the presence of 602C>G and 667T>G by sequence-specific polymerase chain reaction (PCR-SSP). Eighty samples were assigned to the weak D type 4 cluster and were molecularly characterized by PCR-SSP and RHD sequencing. Antigens of aberrant alleles were characterized with monoclonal anti-D according to the 37-epitope model when possible. RESULTS: Five new aberrant alleles, DIII type 6, DIII type 7, DARE, RHD(T201R, F223V) (without 819G>A), and RHD(F223V), were identified and DIII type 6, DARE, and RHD(F223V) were serologically characterized with monoclonal anti-D. Both the DARE and RHD(F223V) showed epitope loss. It is postulated that the 1136C>T nucleotide substitution (characteristic for the DAU allele cluster) is present on the DVa(KOU) allele. CONCLUSION: Identification of the new variant alleles refines the phylogeny of RHD in humans. The proposed DVa(KOU) allele with 1136C>T (DVa(KOU)T379M) is probably caused by conversion of the DAU0 allele and the DVa(KOU) allele, forming a phylogenetic link between the DV allele and the DAU cluster. By describing the RHD(F223V) (602C>G) and RHD(T201R, F223V) (602C>G and 667T>G) alleles formal proof is given for the origin of the non-Eurasian cluster.

Amino Acid Substitution↗

Characterization of retroviruses from patients with multiple sclerosis.

These studies were performed to characterize retroviruses found in cell lines spontaneously developed from peripheral blood mononuclear cells (PBMNC) from 6 multiple sclerosis patients, a patient with progressive myelopathy and a healthy control. The cell lines are B-lymphoblastoid and produce Epstein-Barr virus (EBV) particles or express EBV proteins. The B-lymphoblastoid cell lines are also characterized by production of low, fluctuating amounts of retrovirus. The low productivity complicates purification and characterization, but implementation of product-enhanced reverse transcriptase (PERT) assays has provided a highly useful tool for monitoring retrovirus production. By electron microscopy, the retroviral particles appear type-C-like. Functional assays indicate the presence of Pol, Gag and Env. Indirect ELISA demonstrates a significant relation between disease activity and reactivity towards retroviral peptides. Molecular characterization is primarily based on RT-PCR, cloning, sequencing and Northern- or Southern analyses. Molecular characterization is continuing.

Autoantigens↗

Site characterization in densely fractured dolomite: comparison of methods.

One of the challenges in characterizing fractured-rock aquifers is determining whether the equivalent porous medium approximation is valid at the problem scale. Detailed hydrogeologic characterization completed at a small study site in a densely fractured dolomite has yielded an extensive data set that was used to evaluate the utility of the continuum and discrete-fracture approaches to aquifer characterization. There are two near-vertical sets of fractures at the site; near-horizontal bedding-plane partings constitute a third fracture set. Eighteen boreholes, including five coreholes, were drilled to a depth of approximately 10.6 m. Borehole geophysical logs revealed several laterally extensive horizontal fractures and dissolution zones. Flowmeter and short-interval packer testing identified which of these features were hydraulically important. A monitoring system, consisting of short-interval piezometers and multilevel samplers, was designed to monitor four horizontal fractures and two dissolution zones. The resulting network consisted of >70 sampling points and allowed detailed monitoring of head distributions in three dimensions. Comparison of distributions of hydraulic head and hydraulic conductivity determined by these two approaches suggests that even in a densely fractured-carbonate aquifer, a characterization approach using traditional long-interval monitoring wells is inadequate to characterize ground water movement for the purposes of regulatory monitoring or site remediation. In addition, traditional multiwell pumping tests yield an average or bulk hydraulic conductivity that is not adequate for predicting rapid ground water travel times through the fracture network, and the pumping test response does not appear to be an adequate tool for assessing whether the porous medium approximation is valid.

Calcium Carbonate↗

Brachytherapy source characterization for improved dose calculations using primary and scatter dose separation.

In brachytherapy, tissue heterogeneities, source shielding, and finite patient/phantom extensions affect both the primary and scatter dose distributions. The primary dose is, due to the short range of secondary electrons, dependent only on the distribution of material located on the ray line between the source and dose deposition site. The scatter dose depends on both the direct irradiation pattern and the distribution of material in a large volume surrounding the point of interest, i.e., a much larger volume must be included in calculations to integrate many small dose contributions. It is therefore of interest to consider different methods for the primary and the scatter dose calculation to improve calculation accuracy with limited computer resources. The algorithms in present clinical use ignore these effects causing systematic dose errors in brachytherapy treatment planning. In this work we review a primary and scatter dose separation formalism (PSS) for brachytherapy source characterization to support separate calculation of the primary and scatter dose contributions. We show how the resulting source characterization data can be used to drive more accurate dose calculations using collapsed cone superposition for scatter dose calculations. Two types of source characterization data paths are used: a direct Monte Carlo simulation in water phantoms with subsequent parameterization of the results, and an alternative data path built on processing of AAPM TG43 formatted data to provide similar parameter sets. The latter path is motivated of the large amounts of data already existing in the TG43 format. We demonstrate the PSS methods using both data paths for a clinical 192Ir source. Results are shown for two geometries: a finite but homogeneous water phantom, and a half-slab consisting of water and air. The dose distributions are compared to results from full Monte Carlo simulations and we show significant improvement in scatter dose calculations when the collapsed-cone kernel-superposition algorithm is used compared to traditional table based calculations. The PSS source characterization method uses exponential fit functions derived from one-dimensional transport theory to describe both the primary and scatter dose contributions. We present data for the PSS characterization method to different 192Ir, 137Cs, and 60Cs brachytherapy sources. We also show how TG43 formatted data can be derived from our data to serve traditional treatment planning systems, as to enable for a gradual transfer to algorithms that provides improved modeling of heterogeneities in brachytherapy treatment planning.

Algorithms↗

Characterizing auditory neurons using the Wigner and Rihacek distributions: a comparison.

Because of their dynamic properties, most sounds can best be characterized in the combined frequency-time (FT) domain. Powerful frequency-time characterizations are the Wigner distribution function (WDF) and the Rihacek energy density function (RDF). In the present paper several new concepts are introduced such as using the WDF to characterize the tuning of auditory neurons under wideband noise stimulation and a new method to quantify phase lock of auditory neurons to a wideband noise. No appreciable differences were found between the WDF and RDF in narrow-band signal representations. However, the differences between the WDF and RDF increase as the bandwidth of the signal increases. When signals are buried in uncorrelated background noise, the average FT function of these signals may be obtained through averaging the FT functions for each signal plus noise segment. The WDF takes at least a factor 2 more in time to compute than the RDF. The FT functions can be used to characterize (linear) filters by averaging FT functions of input-noise segments that precede threshold crossings of the filter's output signal. Both the WDF and the RDF were used to characterize auditory neurons from the midbrain in anurans; the WDF always had a smaller bandwidth than the RDF. By comparing the spectrum of the reverse correlation function and the average spectrum of the noise segments preceding the spikes, a quantification of the amount of phase lock of the auditory neuron to the noise is obtained.

Acoustic Stimulation↗

Genomic characterization and therapeutic potential of five broad-spectrum lytic bacteriophages against multidrug-resistant avian pathogenic Escherichia coli (APEC).

UNLABELLED: Colibacillosis, caused by avian pathogenic Escherichia coli (APEC), results in substantial economic losses in global poultry production. The emergence of multidrug-resistant (MDR) APEC poses zoonotic risks through horizontal transfer of antimicrobial resistance (AMR) genes. Bacteriophage therapy emerges as a safe alternative to antibiotherapy; however, comprehensive characterization of phages targeting MDR-APEC from diverse geographical regions remains limited. We isolated five lytic bacteriophages from poultry fecal samples collected from five Indian states and characterized them through morphological analysis, physiological stability testing, whole-genome sequencing, and in vivo efficacy assessment. Host range was determined against APEC isolates, and therapeutic potential was validated in the Galleria mellonella infection model. All phages showed Myovirus-like morphology and stability across physiologically relevant temperatures (up to 55&#xb0;C-70&#xb0;C) and pH conditions (3-11). Phages were classified as Escherichia phage vB_EcoM_fRPOT1, vB_EcoM_fDMYT1, vB_EcoM_fBSZT1, vB_EcoM_fUAMT1, and vB_EcoM_fPKPT2. Their genome size ranges from 170 to 356 kb, belonging to three distinct genera: Dhakavirus, Gaprivervirus, and Asteriusvirus. Genomic analysis confirmed the absence of antimicrobial resistance, virulence, toxin, or lysogeny genes. Fifty-one APEC strains were isolated, of which 23 (45.1%) were MDR. Individual phages lysed 37%-51% of tested APEC and 17%-39% of MDR strains. Three phages (fBSZT1, fUAMT1, and fPKPT2) significantly improved larval survival to 60%-80% at an MOI of 10 in G. mellonella infection models compared to the untreated control. This study establishes a well-characterized phage bank targeting MDR-APEC strains, providing a foundation for developing phage-based interventions to reduce antibiotic dependency and mitigate AMR transmission risks under the One Health framework. IMPORTANCE: The overuse of antibiotics in poultry farming has created a crisis. The multidrug-resistant (MDR) bacteria threaten both animal health and human safety through the food chain. When antibiotics fail, farmers face devastating losses, and resistant bacteria can transfer to humans through consumption or environmental contamination. Bacteriophages offer a practical solution as they kill target bacteria without harming beneficial microbes or leaving chemical residues. Our comprehensive characterization confirms that these five phages are safe and effective as they lack any resistance or toxin genes and rescue 60%-80% of infected larvae. This represents a characterized phage bank targeting the specific resistant strains in Indian poultry. By providing a validated alternative to antibiotics, this work supports sustainable food production while reducing the spread of antimicrobial resistance from farms to humans.

Animals↗

Characterizing the use of health care services delivered via computer networks.

OBJECTIVE: Evaluators must develop methods to characterize the use of the rapidly proliferating electronic networks that link patients with health services. In this article the 4-S framework is proposed for characterizing the use of health services delivered via computer networks. The utility of the 4-S framework is illustrated using data derived from a completed, randomized field experiment in which 47 caregivers of persons who had Alzheimer's disease accessed ComputerLink, a special computer network providing information, communication, and decision support to homebound caregivers of persons who have Alzheimer's disease. DESIGN: Human-computer interaction theories characterize the use of health services delivered via computer networks in behavioral terms. The 4-S framework incorporates perspectives based on user (subject) behavior: access to and use of the total system, use of specific services, behavior within single sessions, and enduring behavioral characteristics. The 4-S framework was tested in a secondary analysis of data from over 3,800 uses of ComputerLink. MEASUREMENT: The 4-S framework was instantiated using data obtained from the ComputerLink evaluation. Three types of secondary data were obtained. A passive monitor of access to the computer network provided quantitative information, such as time of day when access occurred, duration of access, and sequence of services used. Full-text messages were available from the public message postings. Subjective appraisal of use was obtained from self-reporting by users at the end of the experiment. RESULTS: The components of the 4-S framework were suitable to characterize operational aspects of ComputerLink use by Alzheimer's disease caregivers. Through application of the 4-S framework, an understanding of both quantitative use and qualitative use emerged (e.g., insight was gained into the differential use of specific services). CONCLUSIONS: The 4-S framework provided a mechanism for combining various measures of use into a coherent whole. The framework promotes a precise characterization of use and thereby facilitates evaluation of health services delivered via computer networks. It is suitable for evaluation of user satisfaction, measurement of needs resolution, and ascertainment of selected clinical outcomes.

Alzheimer Disease↗

Tarsal coalition: depiction and characterization with CT and MR imaging.

PURPOSE: To compare computed tomography (CT) and magnetic resonance (MR) imaging in the detection, localization, and characterization of tarsal coalitions. MATERIALS AND METHODS: Preoperative CT and MR images were obtained for 10 feet in nine patients (eight male and one female patients), aged 11-18 years who were unresponsive to conservative therapy. Results from two blinded readers were compared with results from surgery. RESULTS: Five calcaneonavicular and four medial subtalar coalitions were found at surgery. One patient had synovitis. CT depicted six coalitions and four were characterized correctly, but the fibrous coalitions were not characterized correctly. MR depicted all coalitions and seven were characterized correctly, including the fibrous coalitions. At MR imaging, proliferative synovitis was incorrectly characterized as a fibrous coalition. CONCLUSION: These results suggest that MR imaging depicts all coalitions but may not be able to help differentiate synovitis from fibrous coalitions and that CT has limitations in the depiction of fibrous coalitions.

Adolescent↗