Transcranial Doppler-Based Surrogates for Cerebral Blood Flow: A Statistical Study.
Where this comes from
- Record sourced from PubMed, PMID 27880813.
- Also identified by DOI 10.1371/journal.pone.0165536 and PMC identifier 5120791.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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 × 10-12); the hypothesis is thus not clearly supported by evidence.
Medical subject headings
- Cerebrovascular Circulation
- Models, Statistical
- Ultrasonography, Doppler, Transcranial