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Cited by 416

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Intracranial Pressure Monitoring: Invasive versus Non-Invasive Methods—A Review

Open access
Raboel, P. H., Bartek, J., Andresen, M., Bellander, B. M., Romner, B.·2012·Critical Care Research and Practice
DOI 10.1155/2012/950393
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Abstract

Monitoring of intracranial pressure (ICP) has been used for decades in the fields of neurosurgery and neurology. There are multiple techniques: invasive as well as noninvasive. This paper aims to provide an overview of the advantages and disadvantages of the most common and well-known methods as well as assess whether noninvasive techniques (transcranial Doppler, tympanic membrane displacement, optic nerve sheath diameter, CT scan/MRI and fundoscopy) can be used as reliable alternatives to the invasive techniques (ventriculostomy and microtransducers). Ventriculostomy is considered the gold standard in terms of accurate measurement of pressure, although microtransducers generally are just as accurate. Both invasive techniques are associated with a minor risk of complications such as hemorrhage and infection. Furthermore, zero drift is a problem with selected microtransducers. The non-invasive techniques are without the invasive methods' risk of complication, but fail to measure ICP accurately enough to be used as routine alternatives to invasive measurement. We conclude that invasive measurement is currently the only option for accurate measurement of ICP.

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Metadata

Authors
Raboel, P. H., Bartek, J., Andresen, M., Bellander, B. M., & Romner, B.
Venue
Critical Care Research and Practice
Publisher
Wiley
Published
2012
Volume
2012
Pages
1-14
ISSN
  • 2090-1305 (ISSN-L)
  • 2090-1313
DOI
10.1155/2012/950393
OpenAlex
W1986686551
Cited by
416
References
59
FWCI
13.46
Type
journal article
Language
en
Open access
gold

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.