Literature DB >> 7179077

Estimation of intracranial pressure by CT scan in closed head trauma.

K Tabaddor, A Danziger, H S Wisoff.   

Abstract

The predictive values of certain features of computerized tomographic (CT) scans in estimating intracranial pressure (ICP) were investigated in 40 patients following closed head injuries. The various features of CT scans selected for study included ventricular compression, the size of the parenchymal mass lesion, midline shift, and an intraventricular clot. All patients with intraventricular clot exhibited severe elevation of pressure. Ventricular compression correlated well with the level of intracranial pressure. Size of the mass was found to be suggestive of pressure elevation but did not reach statistical significance. Midline shift showed no correlation with the intracranial pressure.

Entities:  

Mesh：

Year:  1982        PMID： 7179077     DOI： 10.1016/0090-3019(82)90395-0

Source DB:  PubMed          Journal:  Surg Neurol        ISSN： 0090-3019


  6 in total

1.  Non-invasive methods of estimating intracranial pressure.

Authors:  Jamie B Rosenberg; Ariel L Shiloh; Richard H Savel; Lewis A Eisen
Journal:  Neurocrit Care       Date:  2011-12       Impact factor: 3.210

2.  CT scan in severe diffuse head injury: physiological and clinical correlations.

Authors:  E Teasdale; E Cardoso; S Galbraith; G Teasdale
Journal:  J Neurol Neurosurg Psychiatry       Date:  1984-06       Impact factor: 10.154

3.  Diagnosis of elevated intracranial pressure in critically ill adults: systematic review and meta-analysis.

Authors:  Shannon M Fernando; Alexandre Tran; Wei Cheng; Bram Rochwerg; Monica Taljaard; Kwadwo Kyeremanteng; Shane W English; Mypinder S Sekhon; Donald E G Griesdale; Dar Dowlatshahi; Victoria A McCredie; Eelco F M Wijdicks; Saleh A Almenawer; Kenji Inaba; Venkatakrishna Rajajee; Jeffrey J Perry
Journal:  BMJ       Date:  2019-07-24

4.  Discovery and validation of temporal patterns involved in human brain ketometabolism in cerebral microdialysis fluids of traumatic brain injury patients.

Authors:  Michael Eiden; Nicolas Christinat; Anirikh Chakrabarti; Sarah Sonnay; John-Paul Miroz; Bernard Cuenoud; Mauro Oddo; Mojgan Masoodi
Journal:  EBioMedicine       Date:  2019-06-13       Impact factor: 8.143

Review 5.  Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future Perspectives.

Authors:  Vidhya V; Anjan Gudigar; U Raghavendra; Ajay Hegde; Girish R Menon; Filippo Molinari; Edward J Ciaccio; U Rajendra Acharya
Journal:  Int J Environ Res Public Health       Date:  2021-06-16       Impact factor: 3.390

6.  Midline Shift is Unrelated to Subjective Pupillary Reactivity Assessment on Admission in Moderate and Severe Traumatic Brain Injury.

Authors:  Basil Nourallah; David K Menon; Frederick A Zeiler
Journal:  Neurocrit Care       Date:  2018-10       Impact factor: 3.210
  6 in total

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