Model-based Indices Describing Cerebrovascular Dynamics

Georgios V Varsos , Magdalena Kasprowicz , Peter Smielewski , Marek Czosnyka


nderstanding the dynamic relationship between cerebral blood flow (CBF) and the circulation of cerebrospinal fluid (CSF) can facilitate management of cerebral pathologies. For this reason, various hydrody- namic models have been introduced in order to simulate the phenomena governing the interaction between CBF and CSF. The identification of hydrodynamic models requires an array of signals as input, with the most common of them being arterial blood pressure, intracranial pressure, and cerebral blood flow velocity; monitoring all of them is considered as a standard practice in neurointensive care. Based on these signals, physiological parameters like cerebrovascular resistance, compliances of cerebrovascular bed, and CSF space could then be estimated. Various secondary model-based indices describing cerebrovascular dynamics have been introduced, like the cerebral arterial time constant or critical closing pressure. This review presents model-derived indices that describe cerebrovas- cular phenomena, the nature of which is both physiological (carbon dioxide reactivity and arterial hypotension) and pathological (cerebral artery stenosis, intracranial hyper- tension, and cerebral vasospasm). In a neurointensive environment, real-time monitoring of a patient with these indices may be able to provide a detection of the onset of a cerebrovascular phenomenon, which could have otherwise been missed. This potentially ‘‘early warning’’ indicator may then prove to be important for the therapeutic man- agement of the patient.
Author Georgios V Varsos - [University of Cambridge]
Georgios V Varsos,,
, Magdalena Kasprowicz - [Wrocław University of Science and Technology]
Magdalena Kasprowicz,,
, Peter Smielewski - [University of Cambridge]
Peter Smielewski,,
, Marek Czosnyka (FEIT / PE) - [School of Clinical Medicine ( [University of Cambridge (CAM)]]
Marek Czosnyka,,
- The Institute of Electronic Systems
- School of Clinical Medicine
Journal seriesNeurocritical Care, ISSN 1541-6933
Issue year2013
Keywords in EnglishCerebrovascular bed; Cerebral blood flow; Cerebrospinal fluid; Hydrodynamic models; Model-based indices; Mathematical modeling
ASJC Classification2706 Critical Care and Intensive Care Medicine; 2728 Clinical Neurology
Languageen angielski
NCC- Model-based Indices Describing Cerebrovascular Dynamics.pdf 1.1 MB
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 30-01-2020, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 30-01-2020, ArticleFromJournal
Publication indicators WoS Citations = 12; Scopus Citations = 15; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 1.372; WoS Impact Factor: 2013 = 2.604 (2) - 2013=2.618 (5)
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