Ms. Dagli et al., COMPARTMENTAL ANALYSIS OF THE COMPLETE DYNAMIC SCAN DATA FOR SCINTIGRAPHIC DETERMINATION OF EFFECTIVE RENAL PLASMA-FLOW, The Journal of nuclear medicine, 38(8), 1997, pp. 1285-1290
We have developed an image-based compartmental analysis for estimating
effective renal plasma flow (ERPF in units of milliliters per minute)
from the full time-activity curves of regions of interest (ROI) place
d over the heart, kidneys and bladder. Methods: Kidney or time-activit
y curves are corrected for physical attenuation using estimates of kid
ney depth derived from patient height and weight. Estimates of the cal
ibration factors, K-p and K-b (mCi/counts/sec), for the plasma and bla
dder time-activity curves are determined by applying the following ROI
analysis to each frame of the dynamic scan: (K-p)P-c(t) + (K-b)B-c(t)
= D-i - R-q(t), where P-c(t) and B-c(t) represent the counting rates
measured in ROI placed over the left ventricle blood pool and bladder
at time t; D-i is the known total injected dose, and R-q(t) represents
the millicurie of tracer in the kidneys at time t. Once K-p, and K-b
have been determined by regression, the calibrated time activity curve
s are used to solve for the physiological parameter fERPF (min(-1)), w
hich represents the fraction of the total body plasma cleared of merti
atide per min. The ERPF calculated by the product of fERPF and plasma
volume, determined from patient weight, was compared to the ERPF as ca
lculated by blood samples and the Schlegel and renal uptake plasma vol
ume product scintigraphic techniques. Results: Twenty-five adult patie
nts with a wide range of ages and renal function were studied. The res
ults of this image-based method for calculating ERPF correlated well w
ith the values obtained from blood samples (linear regression slope =
1.06; y-int = -34.68 ml/min, r = 0.905) and offered a significant impr
ovement over both the Schlegel and renal uptake plasma volume product
estimates (p < 0.05). Conclusion: A scintigraphic estimation of ERPF w
ithout blood samples using time-activity data from the heart, kidneys
and bladder acquired over the entire renogram is feasible and correlat
es well with more invasive techniques requiring blood samples.