2018, Number 4
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Med Crit 2018; 32 (4)
Correlation of average line division by transcraneal ultrasound and computerized axial tomography
Gómez MEM, Montelongo FJ, Nava LJA, Carmona DA
Language: Spanish
References: 22
Page: 182-190
PDF size: 146.08 Kb.
ABSTRACT
Background: Ultrasonography performed by non-radiological specialists is a tool that contributes to the diagnosis and monitoring of neurocritical patients, as well as being an economic, precise, non-invasive tool that can be performed at the head of the patient, considering that the vast majority of neurocritical patients are in hemodynamic instability. Ultrasound is defined as a series of mechanical waves, usually longitudinal, originated by the vibration of an elastic body (piezoelectric crystal) and propagated by a material medium (body tissues), whose frequency exceeds that of the audible sound by the human: 20,000 cycles/second or 20 kilohertz (20 KHz). Some of the parameters that are often used in ultrasound are: frequency, velocity of propagation, interaction of ultrasound with tissues, angle of incidence, attenuation and frequency of repetition of pulses.
Objective: To correlate, the measurement of the deviation of the cerebral midline by ultrasound (USG), with the «standard gold», computed axial tomography (CT).
Material and methods: An observational, prospective, longitudinal, comparative, analytical study was performed. The measurement was obtained in 22 patients of the mean deviation of the cerebral line by CAT and USG with different neurological pathologies.
Results: A mean of 6.81 mm of mean deviation of the cerebral midline was obtained for patients who were measured by ultrasound technique and mean of 6.63 mm for patients measured by computerized axial computed tomography. It was correlated by Pearson obtaining a correlation of 0.774 (95% CI) which is significant.
Discussion: We propose the measurement of the deviation of the cerebral midline by transcranial ultrasound as a rapid method, at the head of the patient, which generates few costs and can replace the lack of a CT. It can be included as a quick measure to decide on surgical management if there is mass effect, hypertensive skull or neurological targeting and we do not have available tomography. The implication contrary to this meaning is that there must be a previous training of the personnel for the realization of transcranial ultrasound since it is a «dependent» operator.
Conclusion: The measurement of the midline by ultrasound and cranial tomography are significantly correlated, so the use of transcranial ultrasound can be an instrument of assessment in case of not having a tomograph, although a larger number is required of studies to be conclusive.
REFERENCES
Andruszkiewicz P, Sobczyk D. Ultrasound in critical care. Anaesthesiol Intensive Ther. 2013;45(3):177-181.
Rincon F. Bedside transcranial sonography: A promising tool for the neurointensivist. Crit Care Med. 2012;40(6):1969-1970.
Caricato A, Mignani V, Bocci MG, Pennisi MA, Sandroni C, Tersali A, et al. Usefulness of transcranial echography in patients with decompressive craniectomy: a comparison with computed tomography scan. Crit Care Med. 2012;40(6):1745-1752.
Berg D, Godau J, Walter U. Transcranial sonography in movement disorders. Lancet Neurol. 2008;7(11):1044-1055.
Lucas Ochoa-Péreza,* y Alejandro Cardozo-Ocampob. Aplicaciones de la ultrasonografía en el sistema nervioso central para neuroanestesia y cuidado neurocrítico. Colombian Journal of Anesthesiology. 2015;43(4):314-320.
Motuel J, Biette I, Srairi M, Mrozek S, Kurrek MM, Chaynes P, et al. Assessment of brain midline shift using sonography in neurosurgical ICU patients. Crit Care. 2014;18(6):676.
Eisenberg HM, Gary HE Jr, Aldrich EF, Saydjari C, Turner B, Foulkes MA, et al. Initial CT findings in 753 patients with severe head injury. A report from the NIH traumatic coma data bank. J Neurosurg. 1990;73(5):688-698.
Fearnside MR, Cook RJ, McDougall P, McNeil RJ. The Westmead head injury project outcome in severe head injury. a comparative analysis of pre-hospital, clinical and CT variables. Br J Neurosurg. 1993;7(3):267-279.
Yanaka K, Kamezaki T, Yamada T, Takano S, Meguro K, Nose T. Acute subdural hematoma-prediction of outcome with a linear discriminant function. Neurol Med Chir (Tokyo). 1993;33(8):552-558.
Kotwica Z, Brzezinski J. Acute subdural haematoma in adults: an analysis of outcome in comatose patients. Acta Neurochir (Wien). 1993;121(3-4):95-99.
Foundation TBT. The American Association of Neurological Surgeons. The Joint Section on Neurotrauma and Critical Care. Computed tomography scan features. J Neurotrauma. 2000;17(6-7):597-627.
Marshall LF, Marshall SB, Klauber MR, Van Berkum Clark M, Eisenberg H, Jane JA, et al. A new classification of head injury based on computerized tomography. J Neurosurg. 1991;75:S14-S20.
Maas AI, Hukkelhoven CW, Marshall LF, Steyerberg EW. Prediction of outcome in traumatic brain injury with computed tomographic characteristics: a comparison between the computed tomographic classification and combinations of computed tomographic predictors. Neurosurgery. 2005;57:1173-1182.
Bullock MR, Chesnut R, Ghajar J, Gordon D, Hartl R, Newell DW, et al. Surgical management of acute subdural hematomas. Neurosurgery. 2006;58(Suppl. 3):S16-S24.
Andrews PJ, Piper IR, Dearden NM, Miller JD. Secondary insults during intrahospital transport of head-injured patients. Lancet. 1990;335(8685):327-330.
Kaups KL, Davis JW, Parks SN. Routinely repeated computed tomography after blunt head trauma: does it benefit patients? J Trauma. 2004;56(3):475-480.
Bogdahn U, Becker G, Winkler J, Greiner K, Perez J, Meurers B. Transcranial color-coded real-time sonography in adults. Stroke. 1990;21(12):1680-1688.
Seidel G, Gerriets T, Kaps M, Missler U. Dislocation of the third ventricle due to space-occupying stroke evaluated by transcranial duplex sonography. J Neuroimaging. 1996;6(4):227-230.
Stolz E, Gerriets T, Fiss I, Babacan SS, Seidel G, Kaps M. Comparison of transcranial color-coded duplex sonography and cranial CT measurements for determining third ventricle midline shift in space-occupying stroke. AJNR Am J Neuroradiol. 1999;20(8):1567-1571.
Gerriets T, Stolz E, Modrau B, Fiss I, Seidel G, Kaps M. Sonographic monitoring of midline shift in hemispheric infarctions. Neurology. 1999;52(1):45-49.
Gerriets T, Stolz E, Konig S, Babacan S, Fiss I, Jauss M, et al. Sonographicmonitoring of midline shift in space-occupying stroke: an early outcome predictor. Stroke. 2001;32(2):442-447.
Llompart PJ, Abadal CJ, Palmer SM, Perez BJ, Casares VM, Homar RJ, et al. Monitoring midline shift by transcranial color coded sonography in traumatic brain injury. A comparison with cranial computerized tomography. Intensive Care Med. 2004;30(8):1672-1675.