Wright State University
Grant: $358,800 - National Institutes of Health - Jul. 17, 2009
No votes have been cast for this award yet
Join the conversation: Post a comment about this award
Award Description: Skeletal age is an important clinical tool in the management of children with growth disorders, genetic syndromes and those receiving hormonal, orthopedic or orthodontic treatments. It is also a useful epidemiological variable that helps to account for maturational variance. However, all other available skeletal age methods are based on data that is at least 30 years old if not 60 to 80 years old. There is a clear and pressing need for an accurate and valid method of assessing skeletal age applicable to the current, multi-ethnic population of U.S. children, and this can be achieved by updating the FELS method. Aim 1: To update the FELS Method for assessing the skeletal age of the hand-wrist. This will be accomplished by incorporating the age prevalence of grades of bone-specific indicators from hand-wrist radiographs of non-Hispanic white children, non-Hispanic black children, Hispanic children and Asian-American children 0.08 to 22 years of age. Aim 2: To update the FELS skeletal age computer program. The FELS skeletal age method is the only method that uses a computer program to estimate skeletal age and provide standard errors. These new hand-wrist data will be used to adjust the algorithms in this program resulting in skeletal ages and standard errors appropriate for the multiethnic U.S. population of children as possible.
Project Description: This project officially started on July 17, 2009 so there is only about 60 days of activity on which to report. During this short time, we have started data collection. We received the offsite set of 840 radiographs from Dr. Loder in Indianapolis IN, and these radiographic images are being scanned to digital formats. The necessary electronic data entry forms were created. All data are being entered through a computer interface created in MatLab (Math Works) to streamline the workload. Data output files have been formatted for ease of transition between data collection and data analysis. We have also begun the process of organizing the skeletal maturity indicator data for radiographs that have been read in the past. This includes preparing a SAS database and doing preliminary data management and cleaning. This is a very successful start to the work for this grant.
Jobs Summary: Fels Professor Community and Pediatrics, 2 Research Assistants, Data Collection Specialist, Assistant Professor Community Health, Research Assistant Professor, Director of Lifespan Health Research Center & Associate Professor Community Health (Total jobs reported: 2)
Project Status: Less Than 50% Completed
This award's data was last updated on Jul. 17, 2009. Help expand these official descriptions using the wiki below.
No comments have been added for this project.