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UPOTREBA SKALA PREDIKCIJE ISHODA TRAUMATSKOG MOŽDANOG OŠTEĆENJA ZASNOVANIH NA NALAZU KOMPJUTERIZOVANE TOMOGRAFIJE /

USE OF COMPUTED TOMOGRAPHY SCALES IN PREDICTION OF TRAUMATIC BRAIN INJURY OUTCOME

Authors

 

Igor Horvat1,2, Jagoš Golubović1,2, Đula Đilvesi1,2, Bojan Jelača1,2, Filip Pajičić1,2, Nebojša Lasica1,2, Anja Popović2, Petar Vuleković1,2

1Clinic of Neurosurgery, Clinical Centre of Vojvodina, Novi Sad, Serbia
2University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia

 

UDK: 616.831-001-073


The paper was received / Rad primljen: 06.03.2020.

Accepted / Rad prihvaćen: 13.03.2020.

 


Correspondence to:


Petar Vuleković, MD, PhD, Prof.
Clinic of Neurosurgery, Clinical Centre of Vojvodina, Novi Sad, Serbia
University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia
Hajduk Veljkova 1-3, 21000, Novi Sad, Serbia
+381 64 8059602
e-mail: petar.vulekovic@mf.uns.ac.rs

 

 

Sažetak

 

Kompjuterizovana tomografija (CT) predstavlja osnovno sredstvo u dijagnostici i lečenju traumatskog oštećenja mozga (TOM). Maršal CT klasifikacija, Roterdam i Helsinki CT skorovi su kreirani kao skale za predviđanje ishoda na osnovu TOM CT abnormalnosti. Svaka od ovih skala na različit način klasifikuje CT nalaze. Sve tri skale:  Maršal, Roteradam i Helsinki, imaju visoku prediktivnu moć u predviđanju ranog lošeg ishoda kod pacijenata sa TOM, ali inkorporišući dodatne faktore se mogu postići još precizniji rezultati. Roterdam sistem, koji pokazuje visoku prediktivnu moć i uključuje i karakteristike popout subarahnoidalne hemoragije, treba da bude skala izbora jer inkorporira multivarijantne faktore što rezultira u tačnijoj predvidljivosti.

 

 

Ključne reči:

Maršal CT klasifikacija, Roterdam CT skor, Helsinki CT skor,Traumatsko oštećenje mozga

 

 

Abstract

 

Computer tomography (CT) is an essential tool in diagnosing and treating traumatic brain injury (TBI). Marshall CT classification, Rotterdam and Helsinki CT score were consecutively developed as prediction outcome scales by computing TBI CT abnormalities. None of them classifies the pathological CT findings in the same way. We aimed to determine which one is the most accurate and has the best grading discriminatory power in determining the early outcome.All classifications have similarly strong predictive power for early outcome, but even greater discrimination results could be obtained if additional findings were incorporated in the calculation. Rotterdam system, having the high predictability and also including characteristic like subarachnoid hemorrhage, should be scale of choice as it incorporates multivariate factors into the equation that result in more accurate predictability.

 

 

Key words:

Marshall CT classification, Rotterdam CT score, Helsinki CT score, Traumatic brain injury

 

 

References:

  1. Teasdale G., Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974;2:81–84.Brain Trauma Foundation (2000) Early indicators of prognosis in severe traumatic brain injury. J Neurotrauma 17(6–7): 555–627
  2. Firsching R., Woischneck D., Klein S. Classification of severe head injury based on magnetic resonance imaging. Acta Neurochir (Wien) 2001;143:263–271. 
  3. Bobinski L, Olivecrona M, Koskinen L-OD (2012) Dynamics of brain tissue changes induced by traumatic brain injury assessed with the Marshall, Morris-Marshall, and the Rotterdam classifications and its impact on outcome in a prostacyclin placebo-controlled study. Acta Neurochir (Wien) 154(6):1069–1079
  4. Marshall LF, Marshall SB, Klauber MR, Clark MV, Eisenberg HM, Jane JA, et al. A new classification of head-injury based on computerized-tomography. J Neurosurg. 1991;75:S14–20.
  5. Maas AIR, Hukkelhoven C, Marshall LF, Steyerberg EW (2005) 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 57(6):1173–1182
  6. Raj R, Siironen J, Skrifvars MB, Hernesniemi J, Kivisaari R (2014) Predicting outcome in traumatic brain injury. Neurosurgery 75(6): 632–647
  7. Mata-Mbemba D, Mugikura S, Nakagawa A, Murata T, Ishii K, Li L, Takase K, Kushimoto S, Takahashi S (2014) Early CT findings to predict early death in patients with traumatic brain injury: Marshall and Rotterdam CT scoring systems compared in the major academic tertiary care hospital in northeastern Japan. Acad Radiol 21(5):605–611 Acta Neurochir 
  8. Nelson DW, Maccallum RM, Lilja A (2010) Extended analysis of early computed tomography scans of traumatic brain injured patients. J Neurotrauma 64:51–64
  9. Tjahjadi, M., Arifin, M. Z., Gill, A. S., & Faried, A. (2013). Early mortality predictor of severe traumatic brain injury: A single center study of prognostic variables based on admission characteristics. The Indian Journal of Neurotrauma, 10(1), 3-8.
  10. Havill JH, Sleigh JW, Davis GM, Chatterton BJ, Gilbert KW, Marsh NV, et al. (2001). Observer error and prediction of outcome - Grading of head injury based on computerised tomography. Crit Care Resusc.3:15–8.
  11. Havill JH, Sleigh JW, Davis GM, Chatterton BJ, Gilbert KW, Marsh NV, et al. (2001). Observer error and prediction of outcome - Grading of head injury based on computerised tomography. Crit Care Resusc.3:15–8.


PDF Horvat I. et al. • MD-Medical Data 2020;12(1): 025-027

 

 

 

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