Quantification of global and regional renal blood flow with electron beam computed tomography

Lilach O. Lerman, Malcolm R. Bell, Vicente Lahera, John A. Rumberger, Patrick F. Sheedy, Alberto Sanchez Fueyo

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


Alterations in renal blood flow distribution may occur in a variety of pathophysiologic situations; however, quantification of global and regional renal blood flows has been limited because of the lack of reliable, noninvasive techniques. To determine the feasibility of flow measurements with electron-beam computed tomography (EBCT), six anesthetized dogs were scanned by EBCT during basal conditions, after renal vasodilation, and at recovery. Flow (mL/min/cm3 tissue) was calculated from EBCT-derived time-density curves using three different algorithms and compared with simultaneously obtained electromagnetic flow (EMF) probe measurements after indexing to EBCT-derived renal volume. EBCT-determined flow correlated well with EMF measurements regardless of the algorithm used. An algorithm using the area under the time-density curve was concluded to be the most suitable for calculation of renal blood flow; it correlated with EMF as EBCT flow = 44.5 + 1.05 EMF (r = 0.885, SEE = 31.2 mL/min, P <.0001). Consistent overestimation of flow by EBCT resulted probably from retention of contrast media in the renal parenchyma. EMF showed an increase of 20 ± 10% in renal blood flow after vasodilation. EBCT-derived global, cortical, and medullary flows increased by 33.8 ± 10.3%, 24.8 ± 17.8%, and 99.0 ± 73.8%, respectively. In conclusion, EBCT was found feasible for credible quantitation of renal blood flow in the physiologic range studied. Am J Hypertens 1994;7:829–837.

Original languageEnglish (US)
Pages (from-to)829-837
Number of pages9
JournalAmerican journal of hypertension
Issue number9
StatePublished - Nov 1994


  • Cortical blood flow
  • Electron-beam computed tomography
  • Medullary blood flow
  • Renal blood flow

ASJC Scopus subject areas

  • Internal Medicine


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