Literature DB >> 2057978

Measurement of regional cerebral blood flow in the dog using ultrafast computed tomography. Experimental validation.

G T Gobbel1, C E Cann, H S Iwamoto, J R Fike.   

Abstract

The applicability, feasibility, reproducibility, and accuracy of the method of measuring regional cerebral blood flow using ultrafast computed tomography were evaluated in 25 dogs under varying physiological and pathophysiological conditions. Regional cerebral blood flow values were 75.6 +/- 29.4 ml/100 g/min (mean +/- standard deviation) for the hemisphere, 68.4 +/- 28.2 ml/100 g/min for the basal ganglia, 41.2 +/- 15.0 ml/100 g/min for the internal capsule, and 80.8 +/- 37.2 ml/100 g/min for the neocortex. Measurements made 10 minutes apart were significantly (p less than 0.05) correlated. Simultaneous measurements of regional cerebral blood flow by the microsphere and ultrafast computed tomography methods showed a significant (p less than 0.05) correlation for the hemisphere (r = 0.95), basal ganglia (r = 0.95), and neocortex (r = 0.94) but not for the internal capsule (r = 0.51). Microsphere and ultrafast computed tomography regional cerebral blood flow values were also in agreement in radiation-damaged brain with appreciable blood-brain barrier breakdown, and the two methods demonstrated similar responsiveness of regional cerebral blood flow to alterations in arterial carbon dioxide tension. The accuracy and sensitivity of the ultrafast computed tomography technique suggests that it affords a useful new tool for studying normal and abnormal regional cerebral blood flow.

Entities:  

Mesh:

Year:  1991        PMID: 2057978     DOI: 10.1161/01.str.22.6.772

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  11 in total

1.  Cerebral blood flow modeling in primate cortex.

Authors:  Romain Guibert; Caroline Fonta; Franck Plouraboué
Journal:  J Cereb Blood Flow Metab       Date:  2010-07-21       Impact factor: 6.200

Review 2.  CT perfusion cerebral blood flow imaging in neurological critical care.

Authors:  Mark R Harrigan; Jody Leonardo; Kevin J Gibbons; Lee R Guterman; L Nelson Hopkins
Journal:  Neurocrit Care       Date:  2005       Impact factor: 3.210

3.  Variability of clinical CT perfusion measurements in patients with carotid stenosis.

Authors:  Aquilla S Turk; Allison Grayev; Howard A Rowley; Aaron S Field; Patrick Turski; Kari Pulfer; Rajat Mukherjee; Victor Haughton
Journal:  Neuroradiology       Date:  2007-07-24       Impact factor: 2.804

4.  CT Perfusion Dynamics of Intracranial Tuberculomas.

Authors:  Ravindra Bhimrao Kamble; Jayakumar Peruvumba N; Ravishankar Shivashankar
Journal:  J Clin Diagn Res       Date:  2015-05-01

5.  Hepatic perfusion changes after transcatheter arterial embolization (TAE) of hepatocellular carcinoma: measurement by dynamic computed tomography (CT).

Authors:  Y Tsushima; Y Unno; J Koizumi; S Kusano
Journal:  Dig Dis Sci       Date:  1998-02       Impact factor: 3.199

6.  On the normalization of cerebral blood flow.

Authors:  Romain Guibert; Caroline Fonta; François Estève; Franck Plouraboué
Journal:  J Cereb Blood Flow Metab       Date:  2013-03-13       Impact factor: 6.200

7.  [Dynamic contrast-enhanced computed tomography. Tracer kinetics and radiation hygienic principles].

Authors:  G Brix; J Griebel; S Delorme
Journal:  Radiologe       Date:  2012-03       Impact factor: 0.635

8.  The portal component of hepatic perfusion measured by dynamic CT: an indicator of hepatic parenchymal damage.

Authors:  Y Tsushima; J K Blomley; S Kusano; K Endo
Journal:  Dig Dis Sci       Date:  1999-08       Impact factor: 3.199

9.  Dynamic CT perfusion to assess the effect of carotid revascularization in chronic cerebral ischemia.

Authors:  H C Roberts; W P Dillon; W S Smith
Journal:  AJNR Am J Neuroradiol       Date:  2000-02       Impact factor: 3.825

10.  Cerebrovascular effects of the bradykinin analog RMP-7 in normal and irradiated dog brain.

Authors:  J R Fike; G T Gobbel; A H Mesiwala; H J Shin; M Nakagawa; K R Lamborn; T M Seilhan; P J Elliott
Journal:  J Neurooncol       Date:  1998-05       Impact factor: 4.130

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