Database of dynamic renal scintigraphy
Basic information about project
Database of dynamic renal scintigraphy is a collection of anonymized patient studies and simulated data for clinical audits, inter-laboratory comparisons, development and testing of analytical methods and clinical software, as well as for teaching and training purposes.
Database consists of 5 data sets:
- 107 dynamic renal studies 99mTc-MAG3 in adults with a wide range of renal function, including image data in posterior and anterior projections, transmission images of 57Co-flood source, and also clinical and laboratory data (data set "drsprg")
- 100 dynamic renal studies 99mTc-MAG3 in children with unilateral or bilateral uropathy and wide range of ages, glomerular filtration rate, differential renal function and quality of drainage completed by post-voiding images and clinical and laboratory data (data set "drsbru")
- 19 dynamic renal studies 99mTc-MAG3 of hybrid phantom (modified patient data) with 19 simulated levels of relative renal function in 5 % steps
from 5 to 95 % and 2 different levels of kidney-to-background ratio (data set "drshyb")
- 6 dynamic renal studies 99mTc-MAG3 simulated by the method of Monte Carlo (SIMIND) using 3D digital phantom of human torso (XCAT) and 99mTc-MAG3 pharmacokinetic multi-compartment model, including image data in posterior and anterior projections, reference studies without attenuation and background and tabular review of simulated parameters
- 3 dynamic renal studies 99mTc-MAG3 of a physical phantom recorded by gamma camera, including tabular review of simulated parameters
Authors, partners and sponsors
- Database of dynamic renal scintigraphy has been created under the auspices of ISCORN - International Scientific Committee on Radionuclide Nephrourology (www.iscorn.org).
- Data "drsprg" were collected in the First Faculty of Medicine, Charles University Prague, and the General University Hospital in Prague, Czech Republic, in the project "Quantitative assessment of dynamic renal scintigraphy" supported by the Czech Science Foundation grant GAČR 303 / 07 / 0950.
- Additional data sets were kindly provided in 2013/14 by Dr Amy Piepsz ("drsbru"), Dr Gustav Brolin ("drslund") and Dr Jari Heikkinen ("drsmich")
- Database and the web site are funded by M.G.P. spol. s r. o. Zlín, Czech Republic, and by voluntary donations.
Detailed information about the project Voluntary donations