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Transcranial Doppler-Based Surrogates for Cerebral Blood Flow: A Statistical Study.

Authors :
Hart, Joseph
Novak, Vera
Saunders, Charles
Gremaud, Pierre A.
Source :
PLoS ONE; 11/23/2016, Vol. 11 Issue 11, p1-15, 15p
Publication Year :
2016

Abstract

It is commonly assumed that perfusion in a given cerebral territory can be inferred from Blood Flow Velocity (BFV) measurements in the corresponding stem artery. In order to test this hypothesis, we construct a cerebral blood flow (CBF) estimator based on transcranial Doppler (TCD) blood flow velocity and ten other easily available patient characteristics and clinical parameters. A total of 261 measurements were collected from 88 older patients. The estimator is based on local regression (Random Forest). Its performance is analyzed against baseline CBF from 3-D pseudocontinuous arterial spin labeling (pCASL) magnetic resonance imaging (MRI). Patient specific CBF predictions are of poor quality (r = 0.41 and p-value = 4.5 × 10<superscript>−12</superscript>); the hypothesis is thus not clearly supported by evidence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
11
Issue :
11
Database :
Complementary Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
119742695
Full Text :
https://doi.org/10.1371/journal.pone.0165536