COMPARTMENTAL ANALYSIS OF THE COMPLETE DYNAMIC SCAN DATA FOR SCINTIGRAPHIC DETERMINATION OF EFFECTIVE RENAL PLASMA-FLOW

Citation
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
Citations number
16
Categorie Soggetti
Radiology,Nuclear Medicine & Medical Imaging
ISSN journal
01615505
Volume
38
Issue
8
Year of publication
1997
Pages
1285 - 1290
Database
ISI
SICI code
0161-5505(1997)38:8<1285:CAOTCD>2.0.ZU;2-6
Abstract
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.