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Functional Transcranial Doppler Ultrasound for Monitoring Cerebral Blood Flow
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Transcranial Doppler-Based Surrogates for Cerebral Blood Flow: A Statistical Study.
Joseph Hart1, Vera Novak2, Charles Saunders3
1Department of Mathematics, North Carolina State University, Raleigh, North Carolina, United States of America.
Plos One
|November 24, 2016
Summary
Estimating cerebral blood flow (CBF) using transcranial Doppler (TCD) blood flow velocity (BFV) and patient data proved inaccurate. This study challenges the assumption that BFV measurements reliably predict regional CBF in older patients.
Area of Science:
- Neuroscience
- Medical Imaging
- Biomedical Engineering
Background:
- Cerebral blood flow (CBF) is crucial for brain health.
- Transcranial Doppler (TCD) measures blood flow velocity (BFV) in cerebral arteries.
- It is often assumed BFV correlates with regional CBF.
Purpose of the Study:
- To test the hypothesis that BFV measurements can infer regional cerebral perfusion.
- To develop and validate a predictive model for CBF using TCD and clinical data.
Main Methods:
- A Random Forest model was developed using TCD BFV and ten other patient/clinical parameters.
- Data from 261 measurements in 88 older patients were analyzed.
- Model performance was evaluated against 3-D pseudocontinuous arterial spin labeling (pCASL) MRI.
Main Results:
- Patient-specific CBF predictions showed poor correlation (r = 0.41, p < 10⁻¹¹).
- The developed estimator did not accurately predict baseline CBF from pCASL MRI.
- The results indicate a weak relationship between BFV and regional CBF.
Conclusions:
- The assumption that BFV measurements reliably infer regional cerebral perfusion is not supported by this study.
- Predicting patient-specific CBF using TCD BFV and clinical data is currently unreliable.
- Further research is needed to improve CBF estimation methods.
