The pressures imposed by a rapidly expanding knowledge base and escalating time constraints create a dilemma for diagnostic radiologists; the dilemma becomes particularly acute for low volume studies such as Tc-99m MAG3 renography where many radiologists have had limited training and experience. We propose to complete the development of a comprehensive decision support system that will automatically process MAG3 renal scans, identify and correct quality control problems, and incorporate clinical data to interpret MAG3 renal scans in regard to normality, function, obstruction and renovascular hypertension as well as expert nuclear medicine physicians. We expect that this decision support system will better define the essential interpretative criteria, foster standardized interpretation, teach radiologists and trainees to better interpret renal scans, enhance the diagnostic accuracy of the general radiologist in clinical practice and provide a methodology applicable to other diagnostic problems in radiology and medicine. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
9R01EB008838-05A2
Application #
7466975
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Cohen, Zohara
Project Start
2002-09-01
Project End
2012-01-31
Budget Start
2008-04-01
Budget End
2009-01-31
Support Year
5
Fiscal Year
2008
Total Cost
$383,363
Indirect Cost
Name
Emory University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
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