Dynamic Noninvasive Assessment of Intracranial Pressure, Cerebral Perfusion Pressure, and Autoregulation

Background: Intracranial pressure (ICP) monitoring is critical for managing traumatic brain injury, yet invasive methods carry risks and require specialized settings. Noninvasive transcranial Doppler (TCD)-based methods have been proposed to estimate ICP and cerebral perfusion pressure (CPP), although validation studies predominantly assess static agreement. Clinical monitoring depends on accurate reproduction of dynamic changes. This study assesses the ability of noninvasive methods to reproduce temporal variations in ICP, CPP, and autoregulatory indices. Methods: Nonoverlapping 5-minute segments from 96 simultaneous ICP and TCD recordings in 38 TBI patients were analyzed. Eight blood velocity-based models were used to derive noninvasive estimates of ICP, CPP, pressure reactivity index (PRx), and mean flow index (Mx). Agreement was assessed using correlation and Bland-Altman analyses, whereas dynamic performance was evaluated using first-order differences and linear mixed-effects modeling. Discriminative ability for intracranial hypertension (ICP>22 mm Hg), low CPP (<60 mm Hg), and impaired autoregulation (PRx>0.3; Mx>0.4) was examined using receiver operating characteristic and precision-recall analyses. Results: Noninvasive estimates of CPP and Mx demonstrated stronger dynamic agreement with their reference measures than noninvasive estimates of ICP and PRx. Selected models showed robust discrimination of low CPP and impaired Mx (area under the curve up to 0.96 and 0.89). Conversely, reproduction of ICP dynamics and PRx was moderate, with significant interpatient and intrapatient variability. Dynamic analyses revealed discrepancies missed by static agreement metrics. Conclusions: Evaluation of noninvasive ICP monitoring should extend beyond static accuracy. TCD-based approaches may support noninvasive monitoring of CPP and Mx, but current methods remain insufficient for reliable tracking of ICP and PRx dynamics.

Authors

Institutions

Publication Details

Journal
Journal of Neurosurgical Anesthesiology
Published
2026-09-24
DOI
https://doi.org/10.1097/ana.0000000000001165
Primary Topic
Traumatic Brain Injury and Neurovascular Disturbances
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Dynamic Noninvasive Assessment of Intracranial Pressure, Cerebral Perfusion Pressure, and Autoregulation

Ihsane Olakorede, Stefan Yu Bögli, Peter Smielewski, Marek Czosnyka
Journal of Neurosurgical Anesthesiology
Traumatic Brain Injury and Neurovascular Disturbances
article

Dynamic Noninvasive Assessment of Intracranial Pressure, Cerebral Perfusion Pressure, and Autoregulation

Ihsane Olakorede, Stefan Yu Bögli, Peter Smielewski, Marek Czosnyka
article en

Abstract

Background: Intracranial pressure (ICP) monitoring is critical for managing traumatic brain injury, yet invasive methods carry risks and require specialized settings. Noninvasive transcranial Doppler (TCD)-based methods have been proposed to estimate ICP and cerebral perfusion pressure (CPP), although validation studies predominantly assess static agreement. Clinical monitoring depends on accurate reproduction of dynamic changes. This study assesses the ability of noninvasive methods to reproduce temporal variations in ICP, CPP, and autoregulatory indices. Methods: Nonoverlapping 5-minute segments from 96 simultaneous ICP and TCD recordings in 38 TBI patients were analyzed. Eight blood velocity-based models were used to derive noninvasive estimates of ICP, CPP, pressure reactivity index (PRx), and mean flow index (Mx). Agreement was assessed using correlation and Bland-Altman analyses, whereas dynamic performance was evaluated using first-order differences and linear mixed-effects modeling. Discriminative ability for intracranial hypertension (ICP>22 mm Hg), low CPP (<60 mm Hg), and impaired autoregulation (PRx>0.3; Mx>0.4) was examined using receiver operating characteristic and precision-recall analyses. Results: Noninvasive estimates of CPP and Mx demonstrated stronger dynamic agreement with their reference measures than noninvasive estimates of ICP and PRx. Selected models showed robust discrimination of low CPP and impaired Mx (area under the curve up to 0.96 and 0.89). Conversely, reproduction of ICP dynamics and PRx was moderate, with significant interpatient and intrapatient variability. Dynamic analyses revealed discrepancies missed by static agreement metrics. Conclusions: Evaluation of noninvasive ICP monitoring should extend beyond static accuracy. TCD-based approaches may support noninvasive monitoring of CPP and Mx, but current methods remain insufficient for reliable tracking of ICP and PRx dynamics.

Journal of Neurosurgical Anesthesiology
Warsaw University of Technology (PL), University of Zurich (CH), University of Cambridge (GB), University Hospital of Zurich (CH)
Reduced inequalities
Openalex Percentile: Top 12%
Traumatic Brain Injury and Neurovascular Disturbances
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.