Workers with Occupational Contact Dermatitis: Work Outcomes and Return to Work Process in the First Six Months following Diagnosis

Workers with occupational contact dermatitis may have poor outcomes that impact their health, work, and quality of life. While there is information available on overall return to work, little is known about the actual return to work process. The objectives of the study were to describe the return to work experience and work outcome in workers with contact dermatitis following diagnosis. 78 workers with occupational contact dermatitis were followed for 6 months after assessment. Information collected included clinical presentation and status, the return to work process and work outcomes. Six months after assessment, 38% were not working, almost all because of their skin problem. Of the 62% working 32% had changed job, most because of their skin problem. Limited advice to enable return to work and communication were reported. These findings suggest that there are gaps in return to work programs for occupational contact dermatitis and further research is needed

The Effects of Radium on Certain Goldfish Blood Constituents and Organs

Background radioactivity from radium has long existed in ground and surface waters of the United States, but in the last 15 years radium has become a consequential unnatural contaminant of waters. The onset of the atomic age initiated the increased processing of uranium ore for its uranium content. Radium is a daughter product and a by-product of uranium ore and its purification. The uranium refinery wastes are released into streams in which all forms of aquati life are exposed to the radioactivity of the radium contaminated waters

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging

Many analyses of neuroimaging data involve studying one or more regions of interest (ROIs) in a brain image. In order to do so, each ROI must first be identified. Since every brain is unique, the location, size, and shape of each ROI varies across subjects. Thus, each ROI in a brain image must either be manually identified or (semi-) automatically delineated, a task referred to as segmentation. Automatic segmentation often involves mapping a previously manually segmented image to a new brain image and propagating the labels to obtain an estimate of where each ROI is located in the new image. A more recent approach to this problem is to propagate labels from multiple manually segmented atlases and combine the results using a process known as label fusion. To date, most label fusion algorithms either employ voting procedures or impose prior structure and subsequently find the maximum a posteriori estimator (i.e., the posterior mode) through optimization. We propose using a fully Bayesian spatial regression model for label fusion that facilitates direct incorporation of covariate information while making accessible the entire posterior distribution. We discuss the implementation of our model via Markov chain Monte Carlo and illustrate the procedure through both simulation and application to segmentation of the hippocampus, an anatomical structure known to be associated with Alzheimer's disease.Comment: 24 pages, 10 figure

Junior Recital: Jeremy D. Linn, Euphonium

Kemp Recital Hall Saturday Afternoon March 25, 1995 4:30p.

New patient-oriented summary measure of net total gain in certainty for dichotomous diagnostic tests

OBJECTIVES: To introduce a new, patient-oriented predictive index as a measure of gain in certainty. STUDY DESIGN: Algebraic equations. RESULTS: A new measure is suggested based on error rates in a patient population. The new Predictive Summary Index (PSI) reflects the true total gain in certainty obtained by performing a diagnostic test based on knowledge of disease prevalence, i.e., the overall additional certainty. We show that the overall gain in certainty can be expressed in the form of the following expression: PSI = PPV+NPV-1. PSI is a more comprehensive measure than the post-test probability or the Youden Index (J). The reciprocal of J is interpreted as the number of persons with a given disease who need to be examined in order to detect correctly one person with the disease. The reciprocal of PSI is suggested as the number of persons who need to be examined in order to correctly predict a diagnosis of the disease. CONCLUSION: PSI provides more information than J and the predictive values, making it more appropriate in a clinical setting

Polarization measurements on irradiated ammonia

The polarization characteristics of ammonia irradiated at liquid helium temperatures and subsequently used in a scattering experiment are discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87408/2/488_1.pd